{"id":1985,"date":"2025-03-05T15:17:47","date_gmt":"2025-03-05T23:17:47","guid":{"rendered":"https:\/\/gero.usc.edu\/cbph\/?page_id=1985"},"modified":"2026-01-23T13:46:32","modified_gmt":"2026-01-23T21:46:32","slug":"publications-from-the-center","status":"publish","type":"page","link":"https:\/\/gero.usc.edu\/cbph\/publications-from-the-center\/","title":{"rendered":"Publications linked to Center Funding"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n

Publications from the Center<\/h2>\n

Organized by year[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

2025<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
    \n
  1. Rahal, D., Irwin, M. R., & Fuligni, A. J. (2025). Family meals are associated with lower substance use in female adolescents.\u00a0Fam Process, 64<\/em>(1), e13039. https:\/\/doi.org\/10.1111\/famp.13039<\/a>
    \nPMID<\/strong>: 39082079 | PMCID<\/strong>: PMC11781996<\/li>\n
  2. Imms, P., Chaudhari, N. N., Chowdhury, N. F., Wang, H., Yu, X., Amgalan, A., & Irimia, A. (2025). Neuroanatomical and clinical factors predicting future cognitive impairment.\u00a0Geroscience, 47<\/em>(1), 915-934. https:\/\/doi.org\/10.1007\/s11357-024-01310-0<\/a>
    \nPMID<\/strong>: 39153054 | PMCID<\/strong>: PMC11872856<\/li>\n
  3. Hansen, J. L., Carroll, J. E., Seeman, T. E., Cole, S. W., & Rentscher, K. E. (2025). Lifetime chronic stress exposures, stress hormones, and biological aging: Results from the Midlife in the United States (MIDUS) study.\u00a0Brain Behav Immun, 123<\/em>, 1159-1168. https:\/\/doi.org\/10.1016\/j.bbi.2024.10.022<\/a>
    \nPMID<\/strong>: 39442637 | PMCID<\/strong>: PMC11874905<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

    2024<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
      \n
    1. Klopack, E. T., Seshadri, G., Arpawong, T. E., Cole, S., Thyagarajan, B., & Crimmins, E. M. (2024). Development of a novel transcriptomic measure of aging: Transcriptomic Mortality-risk Age (TraMA).\u00a0medRxiv<\/em>.\u00a0https:\/\/doi.org\/10.1101\/2024.12.04.24318517<\/a>
      \nPMID: 39677460<\/strong> | PMCID: PMC11643192<\/strong><\/li>\n
    2. Choi, E. Y., & Ailshire, J. A. (2024). Neighborhood stressors and epigenetic age acceleration among older Americans.\u00a0The Journals of Gerontology: Series B, 79<\/em>(12).\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbae176<\/a>
      \nPMID: 39432567<\/strong> | PMCID: PMC11582398<\/strong><\/li>\n
    3. Farina, M. P., Crimmins, E. M., & Hayward, M. D. (2024). The role of Southern context in shaping life course exposures linked to dementia incidence for Black and White older adults in the United States.\u00a0BMC Geriatrics, 24<\/em>(1), 927.\u00a0https:\/\/doi.org\/10.1186\/s12877-024-05508-x<\/a>
      \nPMID: 39528970<\/strong> | PMCID: PMC11552185<\/strong><\/li>\n
    4. Meier, H. C. S., Klopack, E. T., Farnia, M. P., Hernandez, B., Mitchell, C., Faul, J. D., McCrory, C., Kenny, R. A., & Crimmins, E. M. (2024). A novel DNA methylation-based surrogate biomarker for chronic systemic inflammation (InfLaMeS): Results from the Health and Retirement Study.\u00a0medRxiv<\/em>.\u00a0https:\/\/doi.org\/10.1101\/2024.10.11.24315339<\/a>
      \nPMID: 39484273<\/strong> | PMCID: PMC11527057<\/strong><\/li>\n
    5. Walsemann, K. M., Jackson, H., Abbruzzi, E., & Ailshire, J. A. (2024). State-level education quality and trajectories of cognitive function by race and educational attainment.\u00a0The Milbank Quarterly, 102<\/em>(3), 765\u2013821.\u00a0https:\/\/doi.org\/10.1111\/1468-0009.12709<\/a>
      \nPMID: 38984387<\/strong> | PMCID: PMC11576583<\/strong><\/li>\n
    6. Burns, S. D., Ailshire, J. A., & Crimmins, E. M. (2024). Functional limitation among middle age and older adults: Exploring cross-national gender disparities.\u00a0Archives of Gerontology and Geriatrics, 123<\/em>, 105410.\u00a0https:\/\/doi.org\/10.1016\/j.archger.2024.105410<\/a>
      \nPMID: 38503129<\/strong> | PMCID: PMC11153036<\/strong><\/li>\n
    7. Klopack, E. T., & Crimmins, E. M. (2024). Epigenetic aging helps explain differential resilience in older adults.\u00a0Demography, 61<\/em>(4), 1023\u20131041.\u00a0https:\/\/doi.org\/10.1215\/00703370-11466635<\/a>
      \nPMID: 39012228<\/strong> | PMCID: PMC11485224<\/strong><\/li>\n
    8. Burns, S. D., Crimmins, E. M., Zhang, M., & Ailshire, J. A. (2024). Psychosocial well-being differences between the young old, old-old, and oldest old: A global comparison.\u00a0Journal of Aging and Health<\/em>.\u00a0https:\/\/doi.org\/10.1177\/08982643241264587<\/a>
      \nPMID: 39031083<\/strong> | PMCID: PMC11743824<\/strong><\/li>\n
    9. Crimmins, E. M., Klopack, E. T., & Kim, J. K. (2024). Generations of epigenetic clocks and their links to socioeconomic status in the Health and Retirement Study.\u00a0Epigenomics, 16<\/em>(14), 1031\u20131042.\u00a0https:\/\/doi.org\/10.1080\/17501911.2024.2373682<\/a>
      \nPMID: 39023350<\/strong> | PMCID: PMC11404624<\/strong><\/li>\n
    10. Brown, R. L., Alegria, K. E., Hamlat, E., Tomiyama, A. J., Laraia, B., Crimmins, E. M., Moffitt, T. E., & Epel, E. S. (2024). Psychosocial disadvantage during childhood and midlife health: NIMHD Social Epigenomics Program.\u00a0JAMA Network Open, 7<\/em>(7), e2421841.\u00a0https:\/\/doi.org\/10.1001\/jamanetworkopen.2024.21841<\/a>
      \nPMID: 39073819<\/strong> | PMCID: PMC11287423<\/strong><\/li>\n
    11. Wu, Q., Ailshire, J. A., Kim, J. K., & Crimmins, E. M. (2024). The association between cardiometabolic risk and cognitive function among older Americans and Chinese.\u00a0J Gerontol A Biol Sci Med Sci, 79<\/em>(7).\u00a0https:\/\/doi.org\/10.1093\/gerona\/glae116<\/a>
      \nPMID<\/strong>: 38699992 | PMCID<\/strong>: PMC11157968<\/li>\n
    12. Kusters, C. D. J., Klopack, E. T., Crimmins, E. M., Seeman, T. E., Cole, S., & Carroll, J. E. (2024). Short sleep and insomnia are associated with accelerated epigenetic age.\u00a0Psychosom Med, 86<\/em>(5), 453-462.\u00a0https:\/\/doi.org\/10.1097\/PSY.0000000000001243<\/a>
      \nPMID<\/strong>: 37594243 | PMCID<\/strong>: PMC10879461<\/li>\n
    13. Kim, J. K., Arpawong, T. E., Klopack, E. T., & Crimmins, E. M. (2024). Parental divorce in childhood and the accelerated epigenetic aging for earlier and later cohorts: Role of mediators of chronic depressive symptoms, education, smoking, obesity, and own marital disruption.\u00a0J Popul Ageing, 17<\/em>(2), 297-313.\u00a0https:\/\/doi.org\/10.1007\/s12062-023-09434-5<\/a>
      \nPMID<\/strong>: 39131698 | PMCID<\/strong>: PMC11313353<\/li>\n
    14. Farina, M. P., Klopack, E. T., Umberson, D., & Crimmins, E. M. (2024). The embodiment of parental death in early life through accelerated epigenetic aging: Implications for understanding how parental death before 18 shapes age-related health risk among older adults.\u00a0SSM Popul Health, 26<\/em>, 101648.\u00a0https:\/\/doi.org\/10.1016\/j.ssmph.2024.101648<\/a>
      \nPMID<\/strong>: 38596364 | PMCID<\/strong>: PMC11002886<\/li>\n
    15. Sehgal, R., Markov, Y., Qin, C., Meer, M., Hadley, C., Shadyab, A. H., Casanova, R., Manson, J. E., Bhatti, P., Crimmins, E. M., H\u00e4gg, S., Assimes, T. L., Whitsel, E. A., Higgins-Chen, A. T., & Levine, M. (2024). Systems age: A single blood methylation test to quantify aging heterogeneity across 11 physiological systems.\u00a0bioRxiv<\/em>.\u00a0https:\/\/doi.org\/10.1101\/2023.07.13.548904<\/a>
      \nPMID<\/strong>: 37503069 | PMCID<\/strong>: PMC10370047<\/li>\n
    16. Burns, S. D., Baker, E. H., Sheehan, C. M., & Markides, K. S. (2024). Disability among older immigrants in the United States: Exploring differences by region of origin and gender.\u00a0Int J Aging Hum Dev, 98<\/em>(3), 329
      \n351.\u00a0      https:\/\/doi.org\/10.1177\/00914150231196093<\/a>
      \nPMID<\/strong>: 37593800 | PMCID<\/strong>: PMC11567143<\/li>\n
    17. Mutambudzi, M., Brown, M. T., & Chen, N. W. (2024). Association of epigenetic age and everyday discrimination with longitudinal trajectories of chronic health conditions in older adults.\u00a0J Gerontol A Biol Sci Med Sci,79<\/em>(3).\u00a0https:\/\/doi.org\/10.1093\/gerona\/glae005<\/a>
      \nPMID<\/strong>: 38190429 | PMCID<\/strong>: PMC10878241<\/li>\n
    18. Noghanibehambari, H., Fletcher, J., Schmitz, L., Duque, V., & Gawai, V. (2024). Early-life economic conditions and old-age male mortality: Evidence from historical county-level bank deposit data.\u00a0J Popul Econ, 37<\/em>(1).\u00a0https:\/\/doi.org\/10.1007\/s00148-024-01007-w<\/a>
      \nPMID<\/strong>: 39301052 | PMCID<\/strong>: PMC11411638<\/li>\n
    19. Lin, L., Kiryakos, J., Ammous, F., Ratliff, S. M., Ware, E. B., Faul, J. D., Kardia, S. L. R., Zhao, W., Birditt, K. S., & Smith, J. A. (2024). Epigenetic age acceleration is associated with blood lipid levels in a multi-ancestry sample of older U.S. adults.\u00a0Res Sq<\/em>.\u00a0https:\/\/doi.org\/10.21203\/rs.3.rs-3934965\/v1<\/a>
      \nPMID<\/strong>: 38464171 | PMCID<\/strong>: PMC10925395<\/li>\n
    20. Burgos-Calvillo, R., Vasquez-Salgado, Y., & Greenfield, P. M. (2024). Cultural modes of conflict resolution, roommate satisfaction, and school belonging: The role of socioeconomic status in university peer relations.\u00a0Curr Res Ecol Soc Psychol, 7<\/em>.\u00a0https:\/\/doi.org\/10.1016\/j.cresp.2024.100192<\/a>
      \nPMID<\/strong>: 39411031 | PMCID<\/strong>: PMC11477221<\/li>\n
    21. Brandhorst, S., Levine, M. E., Wei, M., Shelehchi, M., Morgan, T. E., Nayak, K. S., Dorff, T., Hong, K., Crimmins, E. M., Cohen, P., & Longo, V. D. (2024). Fasting-mimicking diet causes hepatic and blood markers changes indicating reduced biological age and disease risk.\u00a0Nat Commun, 15<\/em>(1), 1309.\u00a0https:\/\/doi.org\/10.1038\/s41467-024-45260-9<\/a>
      \nPMID<\/strong>: 38378685 | PMCID<\/strong>: PMC10879164<\/li>\n
    22. Park, S. Y., Setiawan, V. W., Crimmins, E. M., White, L. R., Wu, A. H., Cheng, I., Darst, B. F., Haiman, C. A., Wilkens, L. R., Le Marchand, L., & Lim, U. (2024). Racial and ethnic differences in the population-attributable fractions of Alzheimer disease and related dementias.\u00a0Neurology, 102<\/em>(3), e208116.\u00a0https:\/\/doi.org\/10.1212\/WNL.0000000000208116<\/a>
      \nPMID<\/strong>: 38232335 | PMCID<\/strong>: PMC11097758<\/li>\n
    23. Kim, J. K., Faul, J., Weir, D. R., & Crimmins, E. M. (2024). Dried blood spot based biomarkers in the Health and Retirement Study: 2006 to 2016.\u00a0Am J Hum Biol, 36<\/em>(2), e23997.\u00a0https:\/\/doi.org\/10.1002\/ajhb.23997<\/a>
      \nPMID<\/strong>: 37803815 | PMCID<\/strong>: PMC10873048<\/li>\n
    24. Ortiz, R., Kershaw, K. N., Zhao, S., Kline, D., Brock, G., Jaffee, S., Golden, S. H., Ogedegbe, G., Carroll, J., Seeman, T. E., & Joseph, J. J. (2024). Evidence for the association between adverse childhood family environment, child abuse, and caregiver warmth and cardiovascular health across the lifespan: The Coronary Artery Risk Development in Young Adults (CARDIA) study.\u00a0Circ Cardiovasc Qual Outcomes, 17<\/em>(2), e009794.\u00a0https:\/\/doi.org\/10.1161\/CIRCOUTCOMES.122.009794<\/a>
      \nPMID<\/strong>: 38258561 | PMCID<\/strong>: PMC11078262<\/li>\n
    25. Osuna, M., Farina, M., & Ailshire, J. (2024). Disabled life expectancy among older Colombian men and women.\u00a0PLoS One, 19<\/em>(1), e0296638.\u00a0https:\/\/doi.org\/10.1371\/journal.pone.0296638<\/a>
      \nPMID<\/strong>: 38206966 | PMCID<\/strong>: PMC10783758<\/li>\n
    26. Burns, S. D., Best, L. E., & Amoatey, S. (2024). Exploring the intersectionality of place and gender among older adults in Ghana: An examination of women’s disability disadvantage.\u00a0Innov Aging, 8<\/em>(4), igad134.\u00a0https:\/\/doi.org\/10.1093\/geroni\/igad134<\/a>
      \nPMID<\/strong>: 38572403 | PMCID<\/strong>: PMC10986752<\/li>\n
    27. Choi, J. S., Adams, M. E., Crimmins, E. M., Lin, F. R., & Ailshire, J. A. (2024). Association between hearing aid use and mortality in adults with hearing loss in the USA: A mortality follow-up study of a cross-sectional cohort.\u00a0Lancet Healthy Longev, 5<\/em>(1), e66-e75.\u00a0https:\/\/doi.org\/10.1016\/S2666-7568(23)00232-5<\/a>
      \nPMID<\/strong>: 38183998 | PMCID<\/strong>: PMC11501007<\/li>\n
    28. Choi, Y. J., & Ailshire, J. A. (2024). Perceived neighborhood disorder, social cohesion, and depressive symptoms in spousal caregivers.\u00a0Aging Ment Health, 28<\/em>(1), 54-61.\u00a0https:\/\/doi.org\/10.1080\/13607863.2023.2212250<\/a>
      \nPMID<\/strong>: 37227056 | PMCID<\/strong>: PMC11703122<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

      2023<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
        \n
      1. Andrasfay T, Crimmins E. Occupational characteristics and epigenetic aging among older adults in the United States.\u00a0Epigenetics<\/em>. 2023 Dec;18(1):2218763. https:\/\/doi.org\/10.1080\/15592294.2023.2218763<\/a>
        \nPMID: 37300823<\/strong> | PMCID: PMC10259313<\/strong><\/li>\n
      2. Kang AH, Kim JK, Ailshire J, Crimmins EM. Shingles Vaccine Uptake Among Older Adults: Identifying Early, Later, and Nonadopters.\u00a0AJPM Focus<\/em>. 2023 Dec;2(4):100143. https:\/\/doi.org\/10.1016\/j.focus.2023.100143<\/a> eCollection 2023 Dec.\u00a0
        \nPMID: 37920403<\/strong> | PMCID: PMC10618697<\/strong><\/li>\n
      3. Walsemann KM, Fisk CE, Farina MP, Abbruzzi E, Ailshire JA. Race, gender, and cohort differences in the educational experiences of Black and White Americans.\u00a0Popul Res Policy Rev<\/em>. 2023 Dec;42(6). https:\/\/doi.org\/10.1007\/s11113-023-09831-w<\/a> Epub 2023 Oct 27.
        \nPMID: 39206094<\/strong> | PMCID: PMC11349311<\/strong><\/li>\n
      4. Walsemann KM, Hair NL, Farina MP, Tyagi P, Jackson H, Ailshire JA. State-level desegregation in the U.S. South and mid-life cognitive function among Black and White adults.\u00a0Soc Sci Med<\/em>. 2023 Dec;338:116319. https:\/\/doi.org\/10.1016\/j.socscimed.2023.116319<\/a> Epub 2023 Oct 15.
        \nPMID: 37871395<\/strong> | PMCID: PMC10872867<\/strong><\/li>\n
      5. Schmitz LL, Duffie E, Zhao W, Ratliff SM, Ding J, Liu Y, Merkin SS, Smith JA, Seeman T. Associations of Early-Life Adversity With Later-Life Epigenetic Aging Profiles in the Multi-Ethnic Study of Atherosclerosis.\u00a0Am J Epidemiol<\/em>. 2023 Nov 10;192(12):1991-2005. https:\/\/doi.org\/10.1093\/aje\/kwad172<\/a>\u00a0
        \nPMID: 37579321<\/strong> | PMCID: PMC10988110<\/strong><\/li>\n
      6. Rentscher KE, Klopack ET, Crimmins EM, Seeman TE, Cole SW, Carroll JE. Social relationships and epigenetic aging in older adulthood: Results from the Health and Retirement Study.\u00a0Brain Behav Immun<\/em>. 2023 Nov;114:349-359. https:\/\/doi.org\/10.1016\/j.bbi.2023.09.001<\/a> Epub 2023 Sep 7.\u00a0
        \nPMID: 37683960<\/strong> | PMCID: PMC10650967<\/strong><\/li>\n
      7. Ramasubramanian R, Kim JW, Guan W, Meier HCS, Crimmins E, Faul J, Thyagarajan B. Cohabitation as a determinant of adaptive and innate immune cell profiles: Findings from the Health and Retirement Study.\u00a0Brain Behav Immun Health<\/em>. 2023 Nov;33:100676. https:\/\/doi.org\/10.1016\/j.bbih.2023.100676<\/a> eCollection 2023 Nov.\u00a0
        \nPMID: 37663036<\/strong> | PMCID: PMC10474123<\/strong><\/li>\n
      8. Zhao E, Ailshire J, Kim JK, Wu Q, Crimmins EM. Associations Between Change in Kidney Functioning, Age, Race\/Ethnicity, and Health Indicators in the Health and Retirement Study.\u00a0J Gerontol A Biol Sci Med Sci<\/em>. 2023 Oct 28;78(11):2094-2104. https:\/\/doi.org\/10.1093\/gerona\/glad204<\/a>
        \nPMID: 37611145<\/strong> | PMCID: PMC10613000<\/strong><\/li>\n
      9. Seshadri G, Vivek S, Prizment A, Crimmins EM, Klopack ET, Faul J, Guan W, Meier HCS, Thyagarajan B. Immune cells are associated with mortality: the Health and Retirement Study.\u00a0Front Immunol<\/em>. 2023;14:1280144. https:\/\/doi.org\/10.3389\/fimmu.2023.1280144<\/a> eCollection 2023.
        \nPMID: 37928548<\/strong> | PMCID: PMC10623116<\/strong><\/li>\n
      10. Klopack ET. Chronic Stress and Latent Virus Reactivation: Effects on Immune Aging, Chronic Disease Morbidity, and Mortality.\u00a0J Gerontol B Psychol Sci Soc Sci<\/em>. 2023 Oct 9;78(10):1707-1716. https:\/\/doi.org\/10.1093\/geronb\/gbad087<\/a>
        \nPMID: 37294880<\/strong> | PMCID: PMC10561893<\/strong><\/li>\n
      11. Vivek, S., Crimmins, E. M., Prizment, A. E., Meier, H. C. S., Ramasubramanian, R., Barcelo, H., Faul, J., & Thyagarajan, B. (2023). Age-related differences in T-cell subsets and markers of subclinical inflammation in aging are independently associated with type 2 diabetes in the Health and Retirement Study.\u00a0Canadian Journal of Diabetes, 47<\/em>(7), 594\u2013602.e6.\u00a0https:\/\/doi.org\/10.1016\/j.jcjd.2023.05.010<\/a>
        \nPMID: 37269981<\/strong> | PMCID: PMC10592537<\/strong><\/li>\n
      12. Wang, S., Prizment, A., Moshele, P., Vivek, S., Blaes, A. H., Nelson, H. H., & Thyagarajan, B. (2023). Aging measures and cancer: Findings from the Health and Retirement Study.\u00a0https:\/\/doi.org\/10.1101\/2023.09.20.23295845<\/a>
        \nPMID: 37790462<\/strong> | PMCID: PMC10543046<\/strong><\/li>\n
      13. Sugden, K., Moffitt, T. E., Arpawong, T. E., Arseneault, L., Belsky, D. W., Corcoran, D. L., Crimmins, E. M., Hannon, E., Houts, R., Mill, J. S., Poulton, R., Ramrakha, S., Wertz, J., Williams, B. S., & Caspi, A. (2023). Cross-national and cross-generational evidence that educational attainment may slow the pace of aging in European-descent individuals.\u00a0The Journals of Gerontology: Series B, 78<\/em>(8), 1375\u20131385.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbad056<\/a>
        \nPMID: 37058531<\/strong> | PMCID: PMC10394986<\/strong><\/li>\n
      14. Wu, A. H., Setiawan, V. W., Stram, D. O., Crimmins, E. M., Tseng, C. C., Lim, U., Park, S. Y., White, K. K., Cheng, I., Haiman, C. A., Wilkens, L. R., & Le Marchand, L. (2023). Racial, ethnic, and socioeconomic differences in a deficit accumulation frailty index in the Multiethnic Cohort Study.\u00a0The Journals of Gerontology: Series A, 78<\/em>(7), 1246\u20131257.\u00a0https:\/\/doi.org\/10.1093\/gerona\/glac216<\/a>
        \nPMID: 36255109<\/strong> | PMCID: PMC11255091<\/strong><\/li>\n
      15. McCrory, C., McLoughlin, S., Layte, R., Ni Cheallaigh, C., O\u2019Halloran, A. M., Barros, H., Berkman, L. F., Bochud, M., Crimmins, E. M., Farrell, M. T., Fraga, S., Grundy, E., Kelly-Irving, M., Petrovic, D., Seeman, T., Stringhini, S., Vollenweider, P., & Kenny, R. A. (2023). Towards a consensus definition of allostatic load: A multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis.\u00a0Psychoneuroendocrinology, 153<\/em>, 106117.\u00a0https:\/\/doi.org\/10.1016\/j.psyneuen.2023.106117<\/a>
        \nPMID: 37100008<\/strong> | PMCID: PMC10620736<\/strong><\/li>\n
      16. Andrasfay, T., Kim, J. K., Ailshire, J. A., & Crimmins, E. (2023). Aging on the job? The association between occupational characteristics and accelerated biological aging.\u00a0The Journals of Gerontology: Series B, 78<\/em>(7), 1236\u20131245.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbad055<\/a>
        \nPMID: 37004243<\/strong> | PMCID: PMC10292835<\/strong><\/li>\n
      17. Choi, E. Y., Farina, M. P., Zhao, E., & Ailshire, J. (2023). Changes in social lives and loneliness during COVID-19 among older adults: A closer look at the sociodemographic differences.\u00a0International Psychogeriatrics, 35<\/em>(6), 305\u2013317.\u00a0https:\/\/doi.org\/10.1017\/S1041610222001107<\/a>
        \nPMID: 36621851<\/strong> | PMCID: PMC10198802<\/strong><\/li>\n
      18. Farina, M. P., Saenz, J., & Crimmins, E. M. (2023). Does adding MRI and CSF-based biomarkers improve cognitive status classification based on cognitive performance questionnaires?\u00a0PLOS ONE, 18<\/em>(5), e0285220.\u00a0https:\/\/doi.org\/10.1371\/journal.pone.0285220<\/a>
        \nPMID: 37155663<\/strong> | PMCID: PMC10166486<\/strong><\/li>\n
      19. Choi, E. Y., Zelinski, E. M., & Ailshire, J. (2023). Neighborhood social environment and self-perceptions of aging.\u00a0Innovation in Aging, 7<\/em>(4), igad038.\u00a0https:\/\/doi.org\/10.1093\/geroni\/igad038<\/a>
        \nPMID: 37213322<\/strong> | PMCID: PMC10195563<\/strong><\/li>\n
      20. Arpawong, T. E., Klopack, E. T., Kim, J. K., & Crimmins, E. M. (2023). ADHD genetic burden associates with older epigenetic age: Mediating roles of education, behavioral and sociodemographic factors among older adults.\u00a0Clinical Epigenetics, 15<\/em>(1), 67.\u00a0https:\/\/doi.org\/10.1186\/s13148-023-01484-y<\/a>
        \nPMID: 37101297<\/strong> | PMCID: PMC10131361<\/strong><\/li>\n
      21. Mawhorter, S. L., Wilkie, R. Z., & Ailshire, J. A. (2023). Inequality in housing transitions during cognitive decline.PLOS ONE, 18<\/em>(4), e0282329. https:\/\/doi.org\/10.1371\/journal.pone.0282329<\/a>
        PMID: 37043418<\/strong> | PMCID: PMC10096249<\/strong><\/li>\n
      22. Ailshire, J. A., Herrera, C. A., Choi, E., Osuna, M., & Suzuki, E. (2023). Cross-national differences in wealth inequality in health services and caregiving used near the end of life.EClinicalMedicine, 58<\/em>, 101911. https:\/\/doi.org\/10.1016\/j.eclinm.2023.101911<\/a>
        PMID: 36969343<\/strong> | PMCID: PMC10030998<\/strong><\/li>\n
      23. Monoson, A., Schott, E., Ard, K., Kilburg-Basnyat, B., Tighe, R. M., Pannu, S., & Gowdy, K. M. (2023). Air pollution and respiratory infections: The past, present, and future.Toxicological Sciences, 192<\/em>(1), 3\u201314. https:\/\/doi.org\/10.1093\/toxsci\/kfad003<\/a>
        PMID: 36622042<\/strong> | PMCID: PMC10025881<\/strong><\/li>\n
      24. Arpawong, T. E., Gatz, M., Zavala, C., Gruenewald, T. L., Walters, E. E., & Prescott, C. A. (2023). Nature, nurture, and the meaning of educational attainment: Differences by sex and socioeconomic status.Twin Research and Human Genetics, 26<\/em>(1), 1\u20139. https:\/\/doi.org\/10.1017\/thg.2023.6<\/a>
        PMID: 36912114<\/strong> | PMCID: PMC10497722<\/strong><\/li>\n
      25. Farina, M. P., Kim, J. K., & Crimmins, E. M. (2023). Racial\/ethnic differences in biological aging and their life course socioeconomic determinants: The 2016 Health and Retirement Study.Journal of Aging and Health, 35<\/em>(3\u20134), 209\u2013220. https:\/\/doi.org\/10.1177\/08982643221120743<\/a>
        PMID: 35984401<\/strong> | PMCID: PMC9898094<\/strong><\/li>\n
      26. Faul, J. D., Kim, J. K., Levine, M. E., Thyagarajan, B., Weir, D. R., & Crimmins, E. M. (2023). Epigenetic-based age acceleration in a representative sample of older Americans: Associations with aging-related morbidity and mortality.Proceedings of the National Academy of Sciences, 120<\/em>(9), e2215840120. https:\/\/doi.org\/10.1073\/pnas.2215840120<\/a>
        PMID: 36802439<\/strong> | PMCID: PMC9992763<\/strong><\/li>\n
      27. Lee, J., Petrosyan, S., Khobragade, P., Banerjee, J., Chien, S., Weerman, B., Gross, A., Hu, P., Smith, J. A., Zhao, W., Aksman, L., Jain, U., Shanthi, G. S., Kurup, R., Raman, A., Chakrabarti, S. S., Gambhir, I. S., Varghese, M., John, J. P., … Dey, A. B. (2023). Deep phenotyping and genomic data from a nationally representative study on dementia in India.Scientific Data, 10<\/em>(1), 45. https:\/\/doi.org\/10.1038\/s41597-023-01941-6<\/a>
        PMID: 36670106<\/strong> | PMCID: PMC9852797<\/strong><\/li>\n
      28. Mawhorter, S., Crimmins, E. M., & Ailshire, J. A. (2023). Housing and cardiometabolic risk among older renters and homeowners.Housing Studies, 38<\/em>(7), 1342\u20131364. https:\/\/doi.org\/10.1080\/02673037.2021.1941792<\/a>
        PMID: 37849684<\/strong> | PMCID: PMC10578645<\/strong><\/li>\n
      29. Arpawong, T. E., Sakuma, K. K., Espinoza, L., & Huh, J. (2023). Longitudinal examination of an ethnic paradox of stress and mental health in older Black and Latinx adults.Clinical Gerontologist, 46<\/em>(1), 27\u201346. https:\/\/doi.org\/10.1080\/07317115.2022.2056102<\/a>
        PMID: 35320059<\/strong> | PMCID: PMC9500116<\/strong><\/li>\n
      30. Resciniti, N. V., Farina, M. P., Merchant, A. T., & Lohman, M. C. (2023). Depressive symptoms partially mediate the association of frailty phenotype symptoms and cognition for females but not males.Journal of Aging and Health, 35<\/em>(1\u20132), 42\u201349. https:\/\/doi.org\/10.1177\/08982643221100688<\/a>
        PMID: 35527693<\/strong> | PMCID: PMC9640765<\/strong><\/li>\n
      31. Rahal, D., Chiang, J. J., Huynh, V. W., Bower, J. E., McCreath, H., & Fuligni, A. J. (2023). Low subjective social status is associated with daily selection of fewer healthy foods and more high-fat\/high-sugar foods.Appetite, 180<\/em>, 106338. https:\/\/doi.org\/10.1016\/j.appet.2022.106338<\/a>
        PMID: 36210016<\/strong> | PMCID: PMC10479967<\/strong><\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

        2022<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
          \n
        1. Klopack, E. T., Thyagarajan, B., Faul, J. D., Meier, H. C. S., Ramasubramanian, R., Kim, J. K., & Crimmins, E. M. (2022). Socioeconomic status and immune aging in older US adults in the health and retirement study.\u00a0Biodemography and Social Biology, 67<\/em>(3-4), 187\u2013202.\u00a0https:\/\/doi.org\/10.1080\/19485565.2022.2149465<\/a>
          \nPMID:<\/strong>36472376 |\u00a0PMCID:<\/strong>\u00a0PMC9869898<\/li>\n
        2. Zhao, E., & Crimmins, E. M. (2022). Mortality and morbidity in ageing men: Biology, lifestyle and environment.\u00a0Reviews in Endocrine and Metabolic Disorders, 23<\/em>(6), 1285\u20131304.\u00a0https:\/\/doi.org\/10.1007\/s11154-022-09737-6<\/a>
          \nPMID:<\/strong>35697963 |\u00a0PMCID:<\/strong>\u00a0PMC9748037<\/li>\n
        3. Farina, M. P., Kim, J. K., Hayward, M. D., & Crimmins, E. M. (2022). Links between inflammation and immune functioning with cognitive status among older Americans in the Health and Retirement Study.\u00a0Brain, Behavior, & Immunity – Health, 26<\/em>, 100559.\u00a0https:\/\/doi.org\/10.1016\/j.bbih.2022.100559<\/a>
          \nPMID:<\/strong>36439057 |\u00a0PMCID:<\/strong>\u00a0PMC9694056<\/li>\n
        4. Garc\u00eda, C., Garcia, M. A., & Ailshire, J. A. (2022). Demographic and health characteristics of older Latino birth cohorts in the Health and Retirement Study.\u00a0The Journals of Gerontology: Series B, 77<\/em>(11), 2060\u20132071.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbac017<\/a>
          \nPMID:<\/strong>35092422 |\u00a0PMCID:<\/strong>\u00a0PMC9683499<\/li>\n
        5. Schmitz, L. L., & Duque, V. (2022). In utero exposure to the Great Depression is reflected in late-life epigenetic aging signatures.\u00a0Proceedings of the National Academy of Sciences, 119<\/em>(46), e2208530119.\u00a0https:\/\/doi.org\/10.1073\/pnas.2208530119<\/a>
          \nPMID:<\/strong>36346848 |\u00a0PMCID:<\/strong>\u00a0PMC9674255<\/li>\n
        6. Zhang, X., Ammous, F., Lin, L., Ratliff, S. M., Ware, E. B., Faul, J. D., Zhao, W., Kardia, S. L. R., & Smith, J. A. (2022). The interplay of epigenetic, genetic, and traditional risk factors on blood pressure: Findings from the Health and Retirement Study.\u00a0Genes, 13<\/em>(11), 1959.\u00a0https:\/\/doi.org\/10.3390\/genes13111959<\/a>
          \nPMID:<\/strong>36360196 |\u00a0PMCID:<\/strong>\u00a0PMC9689874<\/li>\n
        7. Choi, Y. J., Crimmins, E. M., & Ailshire, J. A. (2022). Food insecurity, food environments, and disparities in diet quality and obesity in a nationally representative sample of community-dwelling older Americans.\u00a0Preventive Medicine Reports, 29<\/em>, 101912.\u00a0https:\/\/doi.org\/10.1016\/j.pmedr.2022.101912<\/a>
          \nPMID:<\/strong>35911578 |\u00a0PMCID:<\/strong>\u00a0PMC9326331<\/li>\n
        8. Cappozzo, A., McCrory, C., Robinson, O., Freni Sterrantino, A., Sacerdote, C., Krogh, V., Panico, S., Tumino, R., Iacoviello, L., Ricceri, F., Sieri, S., Chiodini, P., McKay, G. J., McKnight, A. J., Kee, F., Young, I. S., McGuinness, B., Crimmins, E. M., Arpawong, T. E., Kenny, R. A., O’Halloran, A., Polidoro, S., Solinas, G., Vineis, P., Ieva, F., & Fiorito, G. (2022). A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events.\u00a0Clinical Epigenetics, 14<\/em>(1), 121.\u00a0https:\/\/doi.org\/10.1186\/s13148-022-01341-4<\/a>
          \nPMID:<\/strong>36175966 |\u00a0PMCID:<\/strong>\u00a0PMC9521011<\/li>\n
        9. Farina, M. P., & Ailshire, J. A. (2022). Sociodemographic and health status differences in delaying medical care during the COVID-19 pandemic among older adults: Findings from the Health and Retirement Study.\u00a0BMC Public Health, 22<\/em>(1), 1720.\u00a0https:\/\/doi.org\/10.1186\/s12889-022-14118-4<\/a>
          \nPMID:<\/strong>36088320 |\u00a0PMCID:<\/strong>\u00a0PMC9463671<\/li>\n
        10. Rocha, S., Almeida, D. M., Chiang, J. J., Cole, S. W., Irwin, M. R., Seeman, T., & Fuligni, A. J. (2022). The relationship between family socioeconomic status and adolescent sleep and diurnal cortisol.\u00a0Psychosomatic Medicine, 84<\/em>(7), 848-855.\u00a0https:\/\/doi.org\/10.1097\/PSY.0000000000001104<\/a>
          \nPMID:<\/strong>35797448 |\u00a0PMCID:<\/strong>\u00a0PMC9437129<\/li>\n
        11. Cao, X., Ma, C., Zheng, Z., He, L., Hao, M., Chen, X., Crimmins, E. M., Gill, T. M., Levine, M. E., & Liu, Z. (2022). Contribution of life course circumstances to the acceleration of phenotypic and functional aging: A retrospective study.\u00a0EClinicalMedicine, 51<\/em>, 101548.\u00a0https:\/\/doi.org\/10.1016\/j.eclinm.2022.101548<\/a>
          \nPMID:<\/strong>35844770 |\u00a0PMCID:<\/strong>\u00a0PMC9284373<\/li>\n
        12. Ailshire, J. A., Walsemann, K. M., & Fisk, C. E. (2022). Regional variation in U.S. dementia trends from 2000-2012.\u00a0SSM – Population Health, 19<\/em>, 101164.\u00a0https:\/\/doi.org\/10.1016\/j.ssmph.2022.101164<\/a>
          \nPMID:<\/strong>35855971 |\u00a0PMCID:<\/strong>\u00a0PMC9287555<\/li>\n
        13. Walsemann, K. M., Kerr, E. M., Ailshire, J. A., & Herd, P. (2022). Black-White variation in the relationship between early educational experiences and trajectories of cognitive function among US-born older adults.\u00a0SSM – Population Health, 19<\/em>, 101184.\u00a0https:\/\/doi.org\/10.1016\/j.ssmph.2022.101184<\/a>
          \nPMID:<\/strong>35958228 |\u00a0PMCID:<\/strong>\u00a0PMC9358471<\/li>\n
        14. Li, M. J., Richter, E. I., Okafor, C. N., Kalmin, M. M., Dalvie, S., Takada, S., Gorbach, P. M., Shoptaw, S. J., & Cole, S. W. (2022). Social genomics of methamphetamine use, HIV viral load, and social adversity.\u00a0Annals of Behavioral Medicine, 56<\/em>(9), 900-908.\u00a0https:\/\/doi.org\/10.1093\/abm\/kaab096<\/a>
          \nPMID:<\/strong>36039526 |\u00a0PMCID:<\/strong>\u00a0PMC9424866<\/li>\n
        15. Walsemann, K. M., Ure\u00f1a, S., Farina, M. P., & Ailshire, J. A. (2022). Race inequity in school attendance across the Jim Crow South and its implications for Black-White disparities in trajectories of cognitive function among older adults.\u00a0Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 77<\/em>(8), 1467-1477.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbac026<\/a>
          \nPMID:<\/strong>35139199 |\u00a0PMCID:<\/strong> PMC9371452<\/li>\n
        16. Choi, Y. J., Ailshire, J. A., Kim, J. K., & Crimmins, E. M. (2022). Diet quality and biological risk in a national sample of older Americans.\u00a0Journal of Aging and Health, 34<\/em>(4-5), 539-549.\u00a0https:\/\/doi.org\/10.1177\/08982643211046818<\/a>
          \nPMID:<\/strong>34779298 |\u00a0PMCID:<\/strong>\u00a0PMC9098695<\/li>\n
        17. Lee, H., Andrasfay, T., Riley, A., Wu, Q., & Crimmins, E. (2022). Do social determinants of health explain racial\/ethnic disparities in COVID-19 infection?\u00a0Social Science & Medicine, 306<\/em>, 115098.\u00a0https:\/\/doi.org\/10.1016\/j.socscimed.2022.115098<\/a>
          \nPMID:<\/strong>35759973 |\u00a0PMCID:<\/strong>\u00a0PMC9162789<\/li>\n
        18. Karlamangla, A. S., Almeida, D. M., Lachman, M. E., Merkin, S. S., Thomas, D., & Seeman, T. E. (2022). Diurnal dynamic range as index of dysregulation of system dynamics: A cortisol exemplar using data from the Study of Midlife in the United States.\u00a0Psychoneuroendocrinology, 142<\/em>, 105804.\u00a0https:\/\/doi.org\/10.1016\/j.psyneuen.2022.105804<\/a>
          \nPMID:<\/strong>35623318 |\u00a0PMCID:<\/strong>\u00a0PMC9262344<\/li>\n
        19. Kemp, B. R., Ferraro, K. F., Morton, P. M., Thomas, P. A., Mustillo, S. A., & Crimmins, E. M. (2022). Do early-life social, behavioral, and health exposures increase later-life arthritis incidence?\u00a0Research on Aging, 44<\/em>(7-8), 479-493.\u00a0https:\/\/doi.org\/10.1177\/01640275211044979<\/a>
          \nPMID:<\/strong>34664538 |\u00a0PMCID:<\/strong>\u00a0PMC9016101<\/li>\n
        20. Ramasubramanian, R., Meier, H. C. S., Vivek, S., Klopack, E., Crimmins, E. M., Faul, J., Nikolich-\u017dugich, J., & Thyagarajan, B. (2022). Evaluation of T-cell aging-related immune phenotypes in the context of biological aging and multimorbidity in the Health and Retirement Study.\u00a0Immunity & Ageing, 19<\/em>(1), 33.\u00a0https:\/\/doi.org\/10.1186\/s12979-022-00290-z<\/a>
          \nPMID:<\/strong>35858901 |\u00a0PMCID:<\/strong>\u00a0PMC9297609<\/li>\n
        21. Higgins-Chen, A. T., Thrush, K. L., Wang, Y., Minteer, C. J., Kuo, P. L., Wang, M., Niimi, P., Sturm, G., Lin, J., Moore, A. Z., Bandinelli, S., Vinkers, C. H., Vermetten, E., Rutten, B. P. F., Geuze, E., Okhuijsen-Pfeifer, C., van der Horst, M. Z., Schreiter, S., Gutwinski, S., Luykx, J. J., Picard, M., Ferrucci, L., Crimmins, E. M., Boks, M. P., H\u00e4gg, S., Hu-Seliger, T. T., & Levine, M. E. (2022). A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking.\u00a0Nature Aging, 2<\/em>(7), 644-661.\u00a0https:\/\/doi.org\/10.1038\/s43587-022-00248-2<\/a>
          \nPMID:<\/strong>36277076 |\u00a0PMCID:<\/strong>\u00a0PMC9586209<\/li>\n
        22. Wu, Q., Ailshire, J. A., & Crimmins, E. M. (2022). Long COVID and symptom trajectory in a representative sample of Americans in the first year of the pandemic.\u00a0Scientific Reports, 12<\/em>(1), 11647.\u00a0https:\/\/doi.org\/10.1038\/s41598-022-15727-0<\/a>
          \nPMID:<\/strong>35804058 |\u00a0PMCID:<\/strong>\u00a0PMC9264749<\/li>\n
        23. Choi, E. Y., Farina, M. P., Wu, Q., & Ailshire, J. (2022). COVID-19 social distancing measures and loneliness among older adults.\u00a0Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 77<\/em>(7), e167-e178.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbab009<\/a>
          \nPMID:<\/strong>33428753 |\u00a0PMCID:<\/strong>\u00a0PMC7928665<\/li>\n
        24. Klopack, E. T., Crimmins, E. M., Cole, S. W., Seeman, T. E., & Carroll, J. E. (2022). Social stressors associated with age-related T lymphocyte percentages in older U.S. adults: Evidence from the U.S. Health and Retirement Study.\u00a0Proceedings of the National Academy of Sciences, 119<\/em>(25), e2202780119.\u00a0https:\/\/doi.org\/10.1073\/pnas.2202780119<\/a>
          \nPMID:<\/strong>35696572 |\u00a0PMCID:<\/strong>\u00a0PMC9231620<\/li>\n
        25. Cobb, R. J., Sheehan, C. M., Nguyen, A. W., & Johnson, D. (2022). COVID-19 hardships and self-reported sleep quality among American adults in March and April 2020: Results from a nationally representative panel study.\u00a0Sleep Health, 8<\/em>(3), 288-293.\u00a0https:\/\/doi.org\/10.1016\/j.sleh.2022.01.001<\/a>
          \nPMID:<\/strong>35400616 |\u00a0PMCID:<\/strong>\u00a0PMC8987572<\/li>\n
        26. Schmitz, L. L., Zhao, W., Ratliff, S. M., Goodwin, J., Miao, J., Lu, Q., Guo, X., Taylor, K. D., Ding, J., Liu, Y., Levine, M., & Smith, J. A. (2022). The socioeconomic gradient in epigenetic ageing clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study.\u00a0Epigenetics, 17<\/em>(6), 589-611.\u00a0https:\/\/doi.org\/10.1080\/15592294.2021.1939479<\/a>
          \nPMID:<\/strong>34227900 |\u00a0PMCID:<\/strong>\u00a0PMC9235889<\/li>\n
        27. Klopack, E. T., Carroll, J. E., Cole, S. W., Seeman, T. E., & Crimmins, E. M. (2022). Lifetime exposure to smoking, epigenetic aging, and morbidity and mortality in older adults.\u00a0Clinical Epigenetics, 14<\/em>(1), 72.\u00a0https:\/\/doi.org\/10.1186\/s13148-022-01286-8<\/a>
          \nPMID:<\/strong>35643537 |\u00a0PMCID:<\/strong>\u00a0PMC9148451<\/li>\n
        28. Thomas Tobin, C. S., Guti\u00e9rrez, \u00c1., Bell, C. N., & Thorpe, R. J. (2022). Early life racial discrimination, racial centrality, and allostatic load among African American older adults.\u00a0The Gerontologist, 62<\/em>(5), 721-731.\u00a0https:\/\/doi.org\/10.1093\/geront\/gnab185<\/a>
          \nPMID:<\/strong>34922345 |\u00a0PMCID:<\/strong>\u00a0PMC9154246<\/li>\n
        29. Burns, S. D., Baker, E. H., & Sheehan, C. M. (2022). Disability and self-rated health: Exploring foreign- and U.S.-born differences across adulthood.\u00a0Journal of Migration and Health, 6<\/em>, 100112.\u00a0https:\/\/doi.org\/10.1016\/j.jmh.2022.100112<\/a>
          \nPMID:<\/strong>35620793 |\u00a0PMCID:<\/strong>\u00a0PMC9126965<\/li>\n
        30. Thyagarajan, B., Faul, J., Vivek, S., Kim, J. K., Nikolich-\u017dugich, J., Weir, D., & Crimmins, E. M. (2022). Age-related differences in T-cell subsets in a nationally representative sample of people older than age 55: Findings from the Health and Retirement Study.\u00a0Journal of Gerontology: Series A, Biological Sciences and Medical Sciences, 77<\/em>(5), 927-933.\u00a0https:\/\/doi.org\/10.1093\/gerona\/glab300<\/a>
          \nPMID:<\/strong>34633448 |\u00a0PMCID:<\/strong>\u00a0PMC9071411<\/li>\n
        31. Tobin, C. S. T., Guti\u00e9rrez, \u00c1., Erving, C. L., Norris, K. C., & Thorpe, R. J. Jr. (2022). When resilience becomes risk: A latent class analysis of psychosocial resources and allostatic load among African American men.\u00a0American Journal of Men’s Health, 16<\/em>(3), 15579883221104272.\u00a0https:\/\/doi.org\/10.1177\/15579883221104272<\/a>
          \nPMID:<\/strong>35758236 |\u00a0PMCID:<\/strong>\u00a0PMC9244943<\/li>\n
        32. Ailshire, J. A., & Finch, C. E. (2022). Recently decreased association of air pollution with cognitive impairment in a population-based aging cohort and in a mouse model.\u00a0Alzheimer\u2019s & Dementia, 18<\/em>(5), 1077-1078.\u00a0https:\/\/doi.org\/10.1002\/alz.12471<\/a>
          \nPMID:<\/strong>34617667 |\u00a0PMCID:<\/strong>\u00a0PMC11703122<\/li>\n
        33. Arpawong, T. E., Mekli, K., Lee, J., Phillips, D. F., Gatz, M., & Prescott, C. A. (2022). A longitudinal study shows stress proliferation effects from early childhood adversity and recent stress on risk for depressive symptoms among older adults.\u00a0Aging & Mental Health, 26<\/em>(4), 870-880.\u00a0https:\/\/doi.org\/10.1080\/13607863.2021.1904379<\/a>
          \nPMID:<\/strong>33784211 |\u00a0PMCID:<\/strong>\u00a0PMC8673399<\/li>\n
        34. Marquez, I., Garcia-Cifuentes, E., Velandia, F. R., Iragorri, A., Saavedra, A. M., Borda, M. G., Osuna, M., Ailshire, J., & Cano-Gutierrez, C. A. (2022). Motoric cognitive risk syndrome: Prevalence and cognitive performance. A cross-sectional study.\u00a0The Lancet Regional Health \u2013 Americas, 8<\/em>, 100162.\u00a0https:\/\/doi.org\/10.1016\/j.lana.2021.100162<\/a>
          \nPMID:<\/strong>36778728 |\u00a0PMCID:<\/strong>\u00a0PMC9904094<\/li>\n
        35. Klopack, E. T., Crimmins, E. M., Cole, S. W., Seeman, T. E., & Carroll, J. E. (2022). Accelerated epigenetic aging mediates link between adverse childhood experiences and depressive symptoms in older adults: Results from the Health and Retirement Study.\u00a0SSM – Population Health, 17<\/em>, 101071.\u00a0https:\/\/doi.org\/10.1016\/j.ssmph.2022.101071<\/a>
          \nPMID:<\/strong>35313610 |\u00a0PMCID:<\/strong>\u00a0PMC8933834<\/li>\n
        36. Zhang, Y. S., Strauss, J. A., Hu, P., Zhao, Y., & Crimmins, E. M. (2022). Links between mortality and socioeconomic characteristics, disease burden, and biological and physical functioning in the aging Chinese population.\u00a0Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 77<\/em>(2), 365-377.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbab059<\/a>
          \nPMID:<\/strong>33837409 |\u00a0PMCID:<\/strong>\u00a0PMC8824635<\/li>\n
        37. Cobb, R. J., Sheehan, C. M., Louie, P., & Erving, C. L. (2022). Multiple reasons for perceived everyday discrimination and all-cause mortality risk among older Black adults.\u00a0Journal of Gerontology: Series A, Biological Sciences and Medical Sciences, 77<\/em>(2), 310-314.\u00a0https:\/\/doi.org\/10.1093\/gerona\/glab281<\/a>
          \nPMID:<\/strong>34605539 |\u00a0PMCID:<\/strong>\u00a0PMC9012980<\/li>\n
        38. Snodgrass, J. G., Lacy, M. G., & Cole, S. W. (2022). Internet gaming, embodied distress, and psychosocial well-being: A syndemic-syndaimonic continuum.\u00a0Social Science & Medicine, 295<\/em>, 112728.\u00a0https:\/\/doi.org\/10.1016\/j.socscimed.2019.112728<\/a>
          \nPMID:<\/strong>31879045 |\u00a0PMCID:<\/strong>\u00a0PMC7289667<\/li>\n
        39. Henderson, A. K., Walsemann, K. M., & Ailshire, J. A. (2022). Religious involvement and cognitive functioning at the intersection of race-ethnicity and gender among midlife and older adults.\u00a0Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 77<\/em>(1), 237-248.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbab034<\/a>
          \nPMID:<\/strong>33640966 |\u00a0PMCID:<\/strong>\u00a0PMC8923294<\/li>\n
        40. Vivek, S., Nelson, H. H., Prizment, A. E., Faul, J., Crimmins, E. M., & Thyagarajan, B. (2022). Cross-sectional association between cytomegalovirus seropositivity, inflammation, and cognitive impairment in elderly cancer survivors.\u00a0Cancer Causes & Control, 33<\/em>(1), 81-90.\u00a0https:\/\/doi.org\/10.1007\/s10552-021-01504-3<\/a>
          \nPMID:<\/strong>34637066 |\u00a0PMCID:<\/strong>\u00a0PMC8840815<\/li>\n
        41. Andrasfay, T., Wu, Q., Lee, H., & Crimmins, E. M. (2022). Adherence to social-distancing and personal hygiene behavior guidelines and risk of COVID-19 diagnosis: Evidence from the Understanding America Study.\u00a0American Journal of Public Health, 112<\/em>(1), 169-178.\u00a0https:\/\/doi.org\/10.2105\/AJPH.2021.306565<\/a>
          \nPMID:<\/strong>34936403 |\u00a0PMCID:<\/strong>\u00a0PMC8713629<\/li>\n
        42. Farina, M. P., Zhang, Y. S., Kim, J. K., Hayward, M. D., & Crimmins, E. M. (2022). Trends in dementia prevalence, incidence, and mortality in the United States (2000-2016).\u00a0Journal of Aging and Health, 34<\/em>(1), 100-108.\u00a0https:\/\/doi.org\/10.1177\/08982643211029716<\/a>
          \nPMID:<\/strong>34233528 |\u00a0PMCID:<\/strong>\u00a0PMC8989461<\/li>\n
        43. Heiss, J. A., Bakulski, K. M., Thyagarajan, B., Crimmins, E. M., Faul, J. D., Fisher, J. D., & Just, A. C. (2022). Computational deconvolution of fifteen leukocyte subtypes from DNA methylation microarrays trained on flow cytometry data in the Health and Retirement Study.\u00a0bioRxiv<\/em>.\u00a0https:\/\/doi.org\/10.1101\/2022.11.28.518190<\/a><\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

          2021<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
            \n
          1. Seeman, M., Merkin, S. S., Karlamangla, A., Koretz, B., Grzywacz, J. G., Lachman, M., & Seeman, T. (2021). On the biopsychosocial costs of alienated labor.Work, Employment and Society, 35<\/em>(5), 891-913.\u00a0https:\/\/doi.org\/10.1177\/0950017020952662<\/a>
            \nPMID:<\/strong>\u00a034707329 |\u00a0PMCID:<\/strong>\u00a0PMC8547591<\/li>\n
          2. Wu, Q., Ailshire, J. A., Kim, J. K., & Crimmins, E. M. (2021). Cardiometabolic risk trajectory among older Americans: Findings from the Health and Retirement Study.Journal of Gerontology: Series A, Biological Sciences and Medical Sciences, 76<\/em>(12), 2265-2274.\u00a0https:\/\/doi.org\/10.1093\/gerona\/glab205<\/a>
            \nPMID:<\/strong>\u00a034252185 |\u00a0PMCID:<\/strong>\u00a0PMC8599082<\/li>\n
          3. Hayward, M. D., Farina, M. P., Zhang, Y. S., Kim, J. K., & Crimmins, E. M. (2021). The importance of improving educational attainment for dementia prevalence trends from 2000 to 2014, among older non-Hispanic Black and White Americans.Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 76<\/em>(9), 1870-1879.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbab015<\/a>
            \nPMID:<\/strong>\u00a033481025 |\u00a0PMCID:<\/strong>\u00a0PMC8557827<\/li>\n
          4. Easterlin, M. C., Crimmins, E. M., & Finch, C. E. (2021). Will prenatal exposure to SARS-CoV-2 define a birth cohort with accelerated aging in the century ahead?Journal of Developmental Origins of Health and Disease, 12<\/em>(5), 683-687.\u00a0https:\/\/doi.org\/10.1017\/S204017442000104X<\/a>
            \nPMID:<\/strong>\u00a033168125 |\u00a0PMCID:<\/strong>\u00a0PMC7674789<\/li>\n
          5. Lincoln, K. D., Ailshire, J., Nguyen, A., Taylor, R. J., Govia, I., & Ifatunji, M. A. (2021). Profiles of sleep and depression risk among Caribbean Blacks.Ethnicity & Health, 26<\/em>(7), 981-999.\u00a0https:\/\/doi.org\/10.1080\/13557858.2019.1620179<\/a>
            \nPMID:<\/strong>\u00a031137946 |\u00a0PMCID:<\/strong>\u00a0PMC6881538<\/li>\n
          6. Ailshire, J., Osuna, M., Wilkens, J., & Lee, J. (2021). Family caregiving and place of death: Insights from cross-national analysis of the harmonized end-of-life data.Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 76<\/em>(Suppl 1), S76-S85.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbaa225<\/a>
            \nPMID:<\/strong>\u00a033378449 |\u00a0PMCID:<\/strong>\u00a0PMC8355452<\/li>\n
          7. Ailshire, J., & Carr, D. (2021). Cross-national comparisons of social and economic contexts of aging.Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 76<\/em>(Suppl 1), S1-S4.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbab049<\/a>
            \nPMID:<\/strong>\u00a034101809 |\u00a0PMCID:<\/strong>\u00a0PMC8186853<\/li>\n
          8. Erving, C. L., & Cobb, R. J. (2021). Neighborhood social group participation and depressive symptoms among mid-to-late life Black Americans: Does the association differ by ethnicity?Journal of Immigrant and Minority Health, 23<\/em>(3), 478-486.\u00a0https:\/\/doi.org\/10.1007\/s10903-020-01070-x<\/a>
            \nPMID:<\/strong>\u00a032816172 |\u00a0PMCID:<\/strong>\u00a0PMC8018608<\/li>\n
          9. Cuneo, M. G., Szeto, A., Schrepf, A., Thaker, P. H., Goodheart, M., Cole, S. W., Sood, A. K., McCabe, P. M., Mendez, A. J., & Lutgendorf, S. K. (2021). Positive psychosocial factors and oxytocin in the ovarian tumor microenvironment.Psychosomatic Medicine, 83<\/em>(5), 417-422.\u00a0https:\/\/doi.org\/10.1097\/PSY.0000000000000935<\/a>
            \nPMID:<\/strong>\u00a034080583 |\u00a0PMCID:<\/strong>\u00a0PMC8175871<\/li>\n
          10. Crimmins, E. M., Thyagarajan, B., Levine, M. E., Weir, D. R., & Faul, J. (2021). Associations of age, sex, race\/ethnicity, and education with 13 epigenetic clocks in a nationally representative U.S. sample: The Health and Retirement Study.Journal of Gerontology: Series A, Biological Sciences and Medical Sciences, 76<\/em>(6), 1117-1123.\u00a0https:\/\/doi.org\/10.1093\/gerona\/glab016<\/a>
            \nPMID:<\/strong>\u00a033453106 |\u00a0PMCID:<\/strong>\u00a0PMC8140049<\/li>\n
          11. Choi, Y. J., Crimmins, E. M., Kim, J. K., & Ailshire, J. A. (2021). Food and nutrient intake and diet quality among older Americans.Public Health Nutrition, 24<\/em>(7), 1638-1647.\u00a0https:\/\/doi.org\/10.1017\/S1368980021000586<\/a>
            \nPMID:<\/strong>\u00a033557974 |\u00a0PMCID:<\/strong>\u00a0PMC8094430<\/li>\n
          12. Karan, M., Bai, S., Almeida, D. M., Irwin, M. R., McCreath, H., & Fuligni, A. J. (2021). Sleep-wake timings in adolescence: Chronotype development and associations with adjustment.Journal of Youth and Adolescence, 50<\/em>(4), 628-640.\u00a0https:\/\/doi.org\/10.1007\/s10964-021-01407-1<\/a>
            \nPMID:<\/strong>\u00a033606125 |\u00a0PMCID:<\/strong>\u00a0PMC7993411<\/li>\n
          13. Saenz, J. L., D\u00edaz-Venegas, C., & Crimmins, E. M. (2021). Fertility history and cognitive function in late life: The case of Mexico.Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 76<\/em>(4), e140-e152.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbz129<\/a>
            \nPMID:<\/strong>\u00a031603514 |\u00a0PMCID:<\/strong>\u00a0PMC7955970<\/li>\n
          14. Zhu, Y., Chen, Y., Crimmins, E. M., & Zissimopoulos, J. M. (2021). Sex, race, and age differences in prevalence of dementia in Medicare claims and survey data.Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 76<\/em>(3), 596-606.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbaa083<\/a>
            \nPMID:<\/strong>\u00a032588052 |\u00a0PMCID:<\/strong>\u00a0PMC7887731<\/li>\n
          15. Crimmins, E. M., Thyagarajan, B., Kim, J. K., Weir, D., & Faul, J. (2021). Quest for a summary measure of biological age: The Health and Retirement Study.GeroScience, 43<\/em>(1), 395-408.\u00a0https:\/\/doi.org\/10.1007\/s11357-021-00325-1<\/a>
            \nPMID:<\/strong>\u00a033544281 |\u00a0PMCID:<\/strong>\u00a0PMC8050146<\/li>\n
          16. Cobb, R. J., Erving, C. L., & Byrd, W. C. (2021). Perceived COVID-19 health threat increases psychological distress among Black Americans.Ethnic and Racial Studies, 44<\/em>(5), 806-818.\u00a0https:\/\/doi.org\/10.1080\/01419870.2021.1867216<\/a>
            \nPMID:<\/strong>\u00a034035554 |\u00a0PMCID:<\/strong>\u00a0PMC8143036<\/li>\n
          17. Crimmins, E. M. (2021). Recent trends and increasing differences in life expectancy present opportunities for multidisciplinary research on aging.Nature Aging, 1<\/em>(1), 12-13.\u00a0https:\/\/doi.org\/10.1038\/s43587-020-00016-0<\/a>
            \nPMID:<\/strong>\u00a034355199 |\u00a0PMCID:<\/strong>\u00a0PMC8336715<\/li>\n
          18. Crimmins, E. M., & Ailshire, J. A. (2021). Aging and place: The importance of place in aging.Public Policy & Aging Report, 31<\/em>(1), 1-2.\u00a0https:\/\/doi.org\/10.1093\/ppar\/praa043<\/a>
            \nPMID:<\/strong>\u00a033859458 |\u00a0PMCID:<\/strong>\u00a0PMC8046522<\/li>\n
          19. Burgard, S., Montez, J. K., Ailshire, J., & Hummer, R. A. (2021). Aging policy from a multilayered geographic and life course perspective.Public Policy & Aging Report, 31<\/em>(1), 3-6.\u00a0https:\/\/doi.org\/10.1093\/ppar\/praa037<\/a>
            \nPMID:<\/strong>\u00a033462549 |\u00a0PMCID:<\/strong>\u00a0PMC7799384<\/li>\n
          20. Ailshire, J., & Brown, L. L. (2021). The importance of air quality policy for older adults and diverse communities.Public Policy & Aging Report, 31<\/em>(1), 33-37.\u00a0https:\/\/doi.org\/10.1093\/ppar\/praa036<\/a>
            \nPMID:<\/strong>\u00a033462554 |\u00a0PMCID:<\/strong>\u00a0PMC7799383<\/li>\n
          21. Ailshire, J., & Walsemann, K. M. (2021). Education differences in the adverse impact of PM2.5 on incident cognitive impairment among U.S. older adults.Journal of Alzheimer\u2019s Disease, 79<\/em>(2), 615-625.\u00a0https:\/\/doi.org\/10.3233\/JAD-200765<\/a>
            \nPMID:<\/strong>\u00a033337363 |\u00a0NIHMSID:<\/strong>\u00a0NIHMS2031847<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”advanced” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

            2020<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
              \n
            1. Kim, J. K., & Crimmins, E. M. (2020). Age differences in the relationship between threatening and coping mechanisms and preventive behaviors in the time of COVID-19 in the United States: Protection Motivation Theory.Research in Psychotherapy: Psychopathology, Process and Outcome, 23<\/em>(3), 485.\u00a0https:\/\/doi.org\/10.4081\/ripppo.2020.485<\/a>
              \nPMID:<\/strong>\u00a033585294 |\u00a0PMCID:<\/strong>\u00a0PMC7876510<\/li>\n
            2. Zhang, Y. S., Hu, P., Strauss, J. A., Zhao, Y., Wang, Y., & Crimmins, E. M. (2020). Ascertaining cause of mortality among middle-aged and older persons using computer-coded and expert review verbal autopsies in the China Health and Retirement Longitudinal Study.Global Health Action, 13<\/em>(1), 1768502.\u00a0https:\/\/doi.org\/10.1080\/16549716.2020.1768502<\/a>
              \nPMID:<\/strong>\u00a032544003 |\u00a0PMCID:<\/strong>\u00a0PMC7480525<\/li>\n
            3. Choi, Y. J., Ailshire, J. A., & Crimmins, E. M. (2020). Living alone, social networks in neighbourhoods, and daily fruit and vegetable consumption among middle-aged and older adults in the USA.Public Health Nutrition, 23<\/em>(18), 3315-3323.\u00a0https:\/\/doi.org\/10.1017\/S1368980020002475<\/a>
              \nPMID:<\/strong>\u00a032792025 |\u00a0PMCID:<\/strong>\u00a0PMC7736134<\/li>\n
            4. Sudharsanan, N., Zhang, Y., Payne, C. F., Dow, W., & Crimmins, E. (2020). Education and adult mortality in middle-income countries: Surprising gradients in six nationally-representative longitudinal surveys.SSM – Population Health, 12<\/em>, 100649.\u00a0https:\/\/doi.org\/10.1016\/j.ssmph.2020.100649<\/a>
              \nPMID:<\/strong>\u00a032923576 |\u00a0PMCID:<\/strong>\u00a0PMC7475202<\/li>\n
            5. Rahal, D., Chiang, J. J., Fales, M., Fuligni, A. J., Haselton, M. G., Slavich, G. M., & Robles, T. F. (2020). Early life stress, subjective social status, and health during late adolescence.Psychology & Health, 35<\/em>(12), 1531-1549.\u00a0https:\/\/doi.org\/10.1080\/08870446.2020.1761977<\/a>
              \nPMID:<\/strong>\u00a032400197 |\u00a0PMCID:<\/strong>\u00a0PMC7666044<\/li>\n
            6. Stokes, A. C., Weiss, J., Lundberg, D. J., Xie, W., Kim, J. K., Preston, S. H., & Crimmins, E. M. (2020). Estimates of the association of dementia with US mortality levels using linked survey and mortality records.JAMA Neurology, 77<\/em>(12), 1543-1550.\u00a0https:\/\/doi.org\/10.1001\/jamaneurol.2020.2831<\/a>
              \nPMID:<\/strong>\u00a032852519 |\u00a0PMCID:<\/strong>\u00a0PMC7445631<\/li>\n
            7. Park, H., Chiang, J. J., Bower, J. E., Irwin, M. R., Almeida, D. M., Seeman, T. E., McCreath, H., & Fuligni, A. J. (2020). Sleep and inflammation during adolescents’ transition to young adulthood.Journal of Adolescent Health, 67<\/em>(6), 821-828.\u00a0https:\/\/doi.org\/10.1016\/j.jadohealth.2020.04.015<\/a>
              \nPMID:<\/strong>\u00a032586679 |\u00a0PMCID:<\/strong>\u00a0PMC9869641<\/li>\n
            8. Brown, L., Garc\u00eda, C., & Ailshire, J. (2019). Does salivary telomere length explain race\/ethnic differences in aging?Biodemography and Social Biology, 65<\/em>(4), 351-369.\u00a0https:\/\/doi.org\/10.1080\/19485565.2020.1798736<\/a>
              \nPMID:<\/strong>\u00a033335644 |\u00a0PMCID:<\/strong>\u00a0PMC7740300<\/li>\n
            9. Kim, J. K., & Crimmins, E. M. (2020). How does age affect personal and social reactions to COVID-19: Results from the national Understanding America Study.PLoS ONE, 15<\/em>(11), e0241950.\u00a0https:\/\/doi.org\/10.1371\/journal.pone.0241950<\/a>
              \nPMID:<\/strong>\u00a033170903 |\u00a0PMCID:<\/strong>\u00a0PMC7654776<\/li>\n
            10. Crimmins, E. M. (2020). Social hallmarks of aging: Suggestions for geroscience research.Ageing Research Reviews, 63<\/em>, 101136.\u00a0https:\/\/doi.org\/10.1016\/j.arr.2020.101136<\/a>
              \nPMID:<\/strong>\u00a032798771 |\u00a0PMCID:<\/strong>\u00a0PMC7530044<\/li>\n
            11. Kim, J. K., & Crimmins, E. M. (2020). Blood pressure and mortality: Joint effect of blood pressure measures.Journal of Clinical Cardiology and Cardiovascular Therapy, 2<\/em>(1).\u00a0https:\/\/doi.org\/10.31546\/2633-7916.1009<\/a>
              \nPMID:<\/strong>\u00a033163991 |\u00a0PMCID:<\/strong>\u00a0PMC7646937<\/li>\n
            12. Stewart, Q. T., Cobb, R. J., & Keith, V. M. (2020). The color of death: Race, observed skin tone, and all-cause mortality in the United States.Ethnicity & Health, 25<\/em>(7), 1018-1040.\u00a0https:\/\/doi.org\/10.1080\/13557858.2018.1469735<\/a>
              \nPMID:<\/strong>\u00a029737188 |\u00a0PMCID:<\/strong>\u00a0PMC6222008<\/li>\n
            13. Lutgendorf, S. K., Penedo, F., Goodheart, M. J., Dahmoush, L., Arevalo, J. M. G., Thaker, P. H., Slavich, G. M., Sood, A. K., & Cole, S. W. (2020). Epithelial-mesenchymal transition polarization in ovarian carcinomas from patients with high social isolation.Cancer, 126<\/em>(19), 4407-4413.\u00a0https:\/\/doi.org\/10.1002\/cncr.33060<\/a>
              \nPMID:<\/strong>\u00a032691853 |\u00a0PMCID:<\/strong>\u00a0PMC7719066<\/li>\n
            14. Zhao, E., Wu, Q., Crimmins, E. M., & Ailshire, J. A. (2020). Media trust and infection mitigating behaviors during the COVID-19 pandemic in the USA.BMJ Global Health, 5<\/em>(10), e003323.\u00a0https:\/\/doi.org\/10.1136\/bmjgh-2020-003323<\/a>
              \nPMID:<\/strong>\u00a033037063 |\u00a0PMCID:<\/strong>\u00a0PMC7545496<\/li>\n
            15. Thorpe, R. J. Jr., Cobb, R., King, K., Bruce, M. A., Archibald, P., Jones, H. P., Norris, K. C., Whitfield, K. E., & Hudson, D. (2020). The association between depressive symptoms and accumulation of stress among Black men in the Health and Retirement Study.Innovative Aging, 4<\/em>(5), igaa047.\u00a0https:\/\/doi.org\/10.1093\/geroni\/igaa047<\/a>
              \nPMID:<\/strong>\u00a033354627 |\u00a0PMCID:<\/strong>\u00a0PMC7737789<\/li>\n
            16. Crimmins, E. M. (2020). Age-related vulnerability to coronavirus disease 2019 (COVID-19): Biological, contextual, and policy-related factors.Public Policy & Aging Report, 30<\/em>(4), 142-146.\u00a0https:\/\/doi.org\/10.1093\/ppar\/praa023<\/a>
              \nPMID:<\/strong>\u00a033214754 |\u00a0PMCID:<\/strong>\u00a0PMC7499698<\/li>\n
            17. Crimmins, E. M., Zhang, Y. S., Kim, J. K., Frochen, S., Kang, H., Shim, H., Ailshire, J., Potter, A., Cofferen, J., & Faul, J. (2020). Dried blood spots: Effects of less than optimal collection, shipping time, heat, and humidity.American Journal of Human Biology, 32<\/em>(5), e23390.\u00a0https:\/\/doi.org\/10.1002\/ajhb.23390<\/a>
              \nPMID:<\/strong>\u00a031922324 |\u00a0PMCID:<\/strong>\u00a0PMC7347424<\/li>\n
            18. Farina, M. P., Hayward, M. D., Kim, J. K., & Crimmins, E. M. (2020). Racial and educational disparities in dementia and dementia-free life expectancy.Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 75<\/em>(7), e105-e112.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbz046<\/a>
              \nPMID:<\/strong>\u00a031111926 |\u00a0PMCID:<\/strong>\u00a0PMC7530490<\/li>\n
            19. Saenz, J. L., Beam, C. R., & Zelinski, E. M. (2020). The association between spousal education and cognitive ability among older Mexican adults.Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 75<\/em>(7), e129-e140.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbaa002<\/a>
              \nPMID:<\/strong>\u00a031974544 |\u00a0PMCID:<\/strong>\u00a0PMC7424282<\/li>\n
            20. Walsemann, K. M., Ailshire, J. A., & Hartnett, C. S. (2020). The other student debt crisis: How borrowing to pay for a child’s college education relates to parents’ mental health at midlife.Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 75<\/em>(7), 1494-1503.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbz146<\/a>
              \nPMID:<\/strong>\u00a031696915 |\u00a0PMCID:<\/strong>\u00a0PMC7424281<\/li>\n
            21. Aguila, E., & Smith, J. P. (2020). Supplemental income program design: A cluster-randomized controlled trial to examine the health and wellbeing effects on older adults by gender, duration, and payment frequency.Social Science & Medicine, 259<\/em>, 113139.\u00a0https:\/\/doi.org\/10.1016\/j.socscimed.2020.113139<\/a>
              \nPMID:<\/strong>\u00a032623230 |\u00a0PMCID:<\/strong>\u00a0PMC7394009<\/li>\n
            22. Frochen, S., Rodnyansky, S., & Ailshire, J. (2020). Residential care in California.Journal of Maps, 16<\/em>(1), 138-143.\u00a0https:\/\/doi.org\/10.1080\/17445647.2020.1768446<\/a>
              \nPMID:<\/strong>\u00a033093858 |\u00a0PMCID:<\/strong>\u00a0PMC7577399<\/li>\n
            23. Haghani, A., Arpawong, T. E., Kim, J. K., Lewinger, J. P., Finch, C. E., & Crimmins, E. (2020). Female vulnerability to the effects of smoking on health outcomes in older people.PLoS ONE, 15<\/em>(6), e0234015.\u00a0https:\/\/doi.org\/10.1371\/journal.pone.0234015<\/a>
              \nPMID:<\/strong>\u00a032497122 |\u00a0PMCID:<\/strong>\u00a0PMC7272024<\/li>\n
            24. Rahal, D., Huynh, V., Cole, S., Seeman, T., & Fuligni, A. (2020). Subjective social status and health during high school and young adulthood.Developmental Psychology, 56<\/em>(6), 1220-1232.\u00a0https:\/\/doi.org\/10.1037\/dev0000919<\/a>
              \nPMID:<\/strong>\u00a032223295 |\u00a0PMCID:<\/strong>\u00a0PMC7217753<\/li>\n
            25. Hunter-Schlichting, D., Lane, J., Cole, B., Flaten, Z., Barcelo, H., Ramasubramanian, R., Cassidy, E., Faul, J., Crimmins, E., Pankratz, N., & Thyagarajan, B. (2020). Validation of a hybrid approach to standardize immunophenotyping analysis in large population studies: The Health and Retirement Study.Scientific Reports, 10<\/em>(1), 8759.\u00a0https:\/\/doi.org\/10.1038\/s41598-020-65016-x<\/a>
              \nPMID:<\/strong>\u00a032472068 |\u00a0PMCID:<\/strong>\u00a0PMC7260195<\/li>\n
            26. Walsemann, K. M., & Ailshire, J. A. (2020). Early educational experiences and trajectories of cognitive functioning among US adults in midlife and later.American Journal of Epidemiology, 189<\/em>(5), 403-411.\u00a0https:\/\/doi.org\/10.1093\/aje\/kwz276<\/a>
              \nPMID:<\/strong>\u00a031907547 |\u00a0PMCID:<\/strong>\u00a0PMC7443204<\/li>\n
            27. Brown, L. L., Mitchell, U. A., & Ailshire, J. A. (2020). Disentangling the stress process: Race\/ethnic differences in the exposure and appraisal of chronic stressors among older adults.Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 75<\/em>(3), 650-660.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gby072<\/a>
              \nPMID:<\/strong>\u00a029878196 |\u00a0PMCID:<\/strong>\u00a0PMC7328036<\/li>\n
            28. Cobb, R. J., Thorpe, R. J., & Norris, K. C. (2020). Everyday discrimination and kidney function among older adults: Evidence from the Health and Retirement Study.Journal of Gerontology: Series A, Biological Sciences and Medical Sciences, 75<\/em>(3), 517-521.\u00a0https:\/\/doi.org\/10.1093\/gerona\/glz294<\/a>
              \nPMID:<\/strong>\u00a031838487 |\u00a0PMCID:<\/strong>\u00a0PMC7021634<\/li>\n
            29. Saito, Y., Kim, J. K., Davarian, S., Hagedorn, A., & Crimmins, E. M. (2020). Cognitive performance among older persons in Japan and the United States.Journal of the American Geriatrics Society, 68<\/em>(2), 354-361.\u00a0https:\/\/doi.org\/10.1111\/jgs.16163<\/a>
              \nPMID:<\/strong>\u00a031509240 |\u00a0PMCID:<\/strong>\u00a0PMC7002215<\/li>\n
            30. Cobb, R. J., Parker, L. J., & Thorpe, R. J. (2020). Self-reported instances of major discrimination, race\/ethnicity, and inflammation among older adults: Evidence from the Health and Retirement Study.Journal of Gerontology: Series A, Biological Sciences and Medical Sciences, 75<\/em>(2), 291-296.\u00a0https:\/\/doi.org\/10.1093\/gerona\/gly267<\/a>
              \nPMID:<\/strong>\u00a030508069 |\u00a0PMCID:<\/strong>\u00a0PMC8127073<\/li>\n
            31. Garc\u00eda, C., Sheehan, C. M., Flores-Gonzalez, N., & Ailshire, J. A. (2020). Sleep patterns among US Latinos by nativity and country of origin: Results from the National Health Interview Survey.Ethnicity & Disease, 30<\/em>(1), 119-128.\u00a0https:\/\/doi.org\/10.18865\/ed.30.1.119<\/a>
              \nPMID:<\/strong>\u00a031969791 |\u00a0PMCID:<\/strong>\u00a0PMC6970521<\/li>\n
            32. Li, M. J., Takada, S., Okafor, C. N., Gorbach, P. M., Shoptaw, S. J., & Cole, S. W. (2020). Experienced homophobia and gene expression alterations in Black and Latino men who have sex with men in Los Angeles County.Brain, Behavior, and Immunity, 83<\/em>, 120-125.\u00a0https:\/\/doi.org\/10.1016\/j.bbi.2019.09.021<\/a>
              \nPMID:<\/strong>\u00a031563693 |\u00a0PMCID:<\/strong>\u00a0PMC6906252<\/li>\n
            33. Miller, B., Haghani, A., Ailshire, J., & Arpawong, T. E. (2020). Human population genetics in aging studies for molecular biologists.Methods in Molecular Biology, 2144<\/em>, 67-76.\u00a0https:\/\/doi.org\/10.1007\/978-1-0716-0592-9_6<\/a>
              \nPMID:<\/strong>\u00a032410025** (No PMCID available)<\/li>\n
            34. Haghani, A., Miller, B., Arpawong, T. E., & Ailshire, J. (2020). Integrating longitudinal population studies of aging in biological research.Methods in Molecular Biology, 2144<\/em>, 259-273.\u00a0https:\/\/doi.org\/10.1007\/978-1-0716-0592-9_23<\/a>
              \nPMID:<\/strong>\u00a032410042** (No PMCID available)<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

              2019<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                \n
              1. Chiang, J. J., Bower, J. E., Almeida, D. M., Irwin, M. R., Taylor, S. E., Arevalo, J. M. G., & Fuligni, A. J. (2019). Psychosocial stress and C-reactive protein from mid-adolescence to young adulthood. Health Psychology, 38<\/em>(3), 259-267.\u00a0https:\/\/doi.org\/10.1037\/hea0000701<\/a>
                NIHMSID:<\/strong>\u00a0NIHMS1032045<\/li>\n
              2. Besser, L., Galvin, J. E., Rodriguez, D., Seeman, T., Kukull, W., Rapp, S. R., & Smith, J. (2019). Associations between neighborhood built environment and cognition vary by apolipoprotein E genotype: Multi-Ethnic Study of Atherosclerosis. Health & Place, 60<\/em>, 102188.\u00a0https:\/\/doi.org\/10.1016\/j.healthplace.2019.102188<\/a>
                PMID:<\/strong>\u00a031797769 |\u00a0PMCID:<\/strong>\u00a0PMC6901106<\/li>\n
              3. Zhang, Y. S., Saito, Y., & Crimmins, E. M. (2019). Changing impact of obesity on active life expectancy of older Americans. Journal of Gerontology: Series A, Biological Sciences and Medical Sciences, 74<\/em>(12), 1944-1951.\u00a0https:\/\/doi.org\/10.1093\/gerona\/glz133<\/a>
                PMID:<\/strong>\u00a031120111 |\u00a0PMCID:<\/strong>\u00a0PMC6853657<\/li>\n
              4. Snodgrass, J. G., Lacy, M. G., Dengah, H. J. F. 2nd, Polzer, E. R., Else, R. J., Arevalo, J. M. G., & Cole, S. W. (2019). Positive mental well-being and immune transcriptional profiles in highly involved videogame players. Brain, Behavior, and Immunity, 82<\/em>, 84-92.\u00a0https:\/\/doi.org\/10.1016\/j.bbi.2019.07.035<\/a>
                PMID:<\/strong>\u00a031376495 |\u00a0PMCID:<\/strong>\u00a0PMC6800642<\/li>\n
              5. Chen, X., Crimmins, E., Hu, P. P., Kim, J. K., Meng, Q., Strauss, J., Wang, Y., Zeng, J., Zhang, Y., & Zhao, Y. (2019). Venous blood-based biomarkers in the China Health and Retirement Longitudinal Study: Rationale, design, and results from the 2015 wave.American Journal of Epidemiology, 188<\/em>(11), 1871-1877.\u00a0https:\/\/doi.org\/10.1093\/aje\/kwz170<\/a>
                PMID:<\/strong>\u00a031364691 |\u00a0PMCID:<\/strong>\u00a0PMC6825825<\/li>\n
              6. Mitchell, U. A., Ailshire, J. A., Kim, J. K., & Crimmins, E. M. (2019). Black-White differences in 20-year trends in cardiovascular risk in the United States, 1990-2010. Ethnicity & Disease, 29<\/em>(4), 587-598.\u00a0https:\/\/doi.org\/10.18865\/ed.29.4.587<\/a>
                PMID:<\/strong>\u00a031641326 |\u00a0PMCID:<\/strong>\u00a0PMC6802170<\/li>\n
              7. Thyagarajan, B., Shippee, N., Parsons, H., Vivek, S., Crimmins, E., Faul, J., & Shippee, T. (2019). How does subjective age get “under the skin”? The association between biomarkers and feeling older or younger than one’s age: The Health and Retirement Study. Innovative Aging, 3<\/em>(4), igz035.\u00a0https:\/\/doi.org\/10.1093\/geroni\/igz035<\/a>
                PMID:<\/strong>\u00a031528718 |\u00a0PMCID:<\/strong>\u00a0PMC6736363<\/li>\n
              8. Meier, H. C. S., Hussein, M., Needham, B., Barber, S., Lin, J., Seeman, T., & Diez Roux, A. (2019). Cellular response to chronic psychosocial stress: Ten-year longitudinal changes in telomere length in the Multi-Ethnic Study of Atherosclerosis. Psychoneuroendocrinology, 107<\/em>, 70-81.\u00a0https:\/\/doi.org\/10.1016\/j.psyneuen.2019.04.018<\/a>
                PMID:<\/strong>\u00a031112903 |\u00a0PMCID:<\/strong>\u00a0PMC6635040<\/li>\n
              9. Cuneo, M. G., Szeto, A., Schrepf, A., Kinner, E. M., Schachner, B. I., Ahmed, R., Thaker, P. H., Goodheart, M., Bender, D., Cole, S. W., McCabe, P. M., Sood, A. K., Lutgendorf, S. K., & Mendez, A. J. (2019). Oxytocin in the tumor microenvironment is associated with lower inflammation and longer survival in advanced epithelial ovarian cancer patients. Psychoneuroendocrinology, 106<\/em>, 244-251.\u00a0https:\/\/doi.org\/10.1016\/j.psyneuen.2019.04.007<\/a>
                PMID:<\/strong>\u00a031005045 |\u00a0PMCID:<\/strong>\u00a0PMC6716948<\/li>\n
              10. Cole, S. W. (2019). The conserved transcriptional response to adversity.Current Opinion in Behavioral Sciences, 28<\/em>, 31-37.\u00a0https:\/\/doi.org\/10.1016\/j.cobeha.2019.01.008<\/a>
                PMID:<\/strong>\u00a031592179 |\u00a0PMCID:<\/strong>\u00a0PMC6779418<\/li>\n
              11. Chiang, J. J., Cole, S. W., Bower, J. E., Irwin, M. R., Taylor, S. E., Arevalo, J. M. G., & Fuligni, A. J. (2019). Depressive symptoms and immune transcriptional profiles in late adolescents. Brain, Behavior, and Immunity, 80<\/em>, 163-169.\u00a0https:\/\/doi.org\/10.1016\/j.bbi.2019.03.004<\/a>
                PMID:<\/strong>\u00a030851376 |\u00a0PMCID:<\/strong>\u00a0PMC6710012<\/li>\n
              12. Park, H., Chiang, J. J., Irwin, M. R., Bower, J. E., McCreath, H., & Fuligni, A. J. (2019). Developmental trends in sleep during adolescents’ transition to young adulthood. Sleep Medicine, 60<\/em>, 202-210.\u00a0https:\/\/doi.org\/10.1016\/j.sleep.2019.04.007<\/a>
                PMID:<\/strong>\u00a031186213 |\u00a0PMCID:<\/strong>\u00a0PMC6650269<\/li>\n
              13. Black, D. S., Christodoulou, G., & Cole, S. (2019). Mindfulness meditation and gene expression: A hypothesis-generating framework.Current Opinion in Psychology, 28<\/em>, 302-306.\u00a0https:\/\/doi.org\/10.1016\/j.copsyc.2019.06.004<\/a>
                PMID:<\/strong>\u00a031352296 |\u00a0PMCID:<\/strong>\u00a0PMC6778024<\/li>\n
              14. Zhang, Y. S., & Crimmins, E. M. (2019). Urban\u2013rural differentials in age-related biological risk among middle-aged and older Chinese. International Journal of Public Health, 64<\/em>(6), 831-839.\u00a0https:\/\/doi.org\/10.1007\/s00038-018-1189-0<\/a>
                PMID:<\/strong>\u00a030535932 |\u00a0PMCID:<\/strong>\u00a0PMC6556141<\/li>\n
              15. Garc\u00eda, C., & Ailshire, J. A. (2019). Biological risk profiles among Latino subgroups in the Health and Retirement Study.Innovative Aging, 3<\/em>(2), igz017.\u00a0https:\/\/doi.org\/10.1093\/geroni\/igz017<\/a>
                PMID:<\/strong>\u00a031276052 |\u00a0PMCID:<\/strong>\u00a0PMC6599425<\/li>\n
              16. Chiang, J. J., Cole, S. W., Bower, J. E., Irwin, M. R., Taylor, S. E., Arevalo, J., & Fuligni, A. J. (2019). Daily interpersonal stress, sleep duration, and gene regulation during late adolescence. Psychoneuroendocrinology, 103<\/em>, 147-155.\u00a0https:\/\/doi.org\/10.1016\/j.psyneuen.2018.11.026<\/a>
                PMID:<\/strong>\u00a030690224 |\u00a0PMCID:<\/strong>\u00a0PMC8447850<\/li>\n
              17. Needham, B. L., Wang, X., Carroll, J. E., Barber, S., S\u00e1nchez, B. N., Seeman, T. E., & Diez Roux, A. V. (2019). Sociodemographic correlates of change in leukocyte telomere length during mid- to late-life: The Multi-Ethnic Study of Atherosclerosis. Psychoneuroendocrinology, 102<\/em>, 182-188.\u00a0https:\/\/doi.org\/10.1016\/j.psyneuen.2018.12.007<\/a>
                PMID:<\/strong>\u00a030576944 |\u00a0PMCID:<\/strong>\u00a0PMC6445551<\/li>\n
              18. Rentscher, K. E., Carroll, J. E., Repetti, R. L., Cole, S. W., Reynolds, B. M., & Robles, T. F. (2019). Chronic stress exposure and daily stress appraisals relate to biological aging marker p16(INK4a). Psychoneuroendocrinology, 102<\/em>, 139-148.\u00a0https:\/\/doi.org\/10.1016\/j.psyneuen.2018.12.006<\/a>
                PMID:<\/strong>\u00a030557761 |\u00a0PMCID:<\/strong>\u00a0PMC6420375<\/li>\n
              19. Chiang, J. J., Park, H., Almeida, D. M., Bower, J. E., Cole, S. W., Irwin, M. R., McCreath, H., Seeman, T. E., & Fuligni, A. J. (2019). Psychosocial stress and C-reactive protein from mid-adolescence to young adulthood. Health Psychology, 38<\/em>(3), 259-267.\u00a0https:\/\/doi.org\/10.1037\/hea0000701<\/a>
                PMID:<\/strong>\u00a030762405 |\u00a0PMCID:<\/strong>\u00a0PMC6697172<\/li>\n
              20. Ross, K. M., Cole, S. W., Carroll, J. E., & Dunkel Schetter, C. (2019). Elevated pro-inflammatory gene expression in the third trimester of pregnancy in mothers who experienced stressful life events. Brain, Behavior, and Immunity, 76<\/em>, 97-103.\u00a0https:\/\/doi.org\/10.1016\/j.bbi.2018.11.009<\/a>
                PMID:<\/strong>\u00a030447280 |\u00a0PMCID:<\/strong>\u00a0PMC6348125<\/li>\n
              21. Murray, D. R., Haselton, M. G., Fales, M., & Cole, S. W. (2019). Subjective social status and inflammatory gene expression. Health Psychology, 38<\/em>(2), 182-186.\u00a0https:\/\/doi.org\/10.1037\/hea0000705<\/a>
                PMID:<\/strong>\u00a030652915 |\u00a0PMCID:<\/strong>\u00a0PMC6592277<\/li>\n
              22. Sheehan, C. M., Frochen, S. E., Walsemann, K. M., & Ailshire, J. A. (2019). Are U.S. adults reporting less sleep?: Findings from sleep duration trends in the National Health Interview Survey, 2004-2017.Sleep, 42<\/em>(2).\u00a0https:\/\/doi.org\/10.1093\/sleep\/zsy221<\/a>
                PMID:<\/strong>\u00a030452725 |\u00a0PMCID:<\/strong>\u00a0PMC6941709<\/li>\n
              23. Frochen, S., Ailshire, J., & Rodnyansky, S. (2019). Residential care in Los Angeles: Evaluating the spatial distribution of facilities and neighbourhood access to care among older adults. Local Environment, 24<\/em>(3), 274-288.\u00a0https:\/\/doi.org\/10.1080\/13549839.2018.1564254<\/a>
                PMID:<\/strong>\u00a033033440 |\u00a0PMCID:<\/strong>\u00a0PMC7539763<\/li>\n
              24. Kim, J. K., Ailshire, J. A., & Crimmins, E. M. (2019). Twenty-year trends in cardiovascular risk among men and women in the United States. Aging Clinical and Experimental Research, 31<\/em>(1), 135-143.\u00a0https:\/\/doi.org\/10.1007\/s40520-018-0932-y<\/a>
                PMID:<\/strong>\u00a029569117 |\u00a0PMCID:<\/strong>\u00a0PMC6151160<\/li>\n
              25. Crimmins, E. M., Shim, H., Zhang, Y. S., & Kim, J. K. (2019). Differences between men and women in mortality and the health dimensions of the morbidity process. Clinical Chemistry, 65<\/em>(1), 135-145.\u00a0https:\/\/doi.org\/10.1373\/clinchem.2018.288332<\/a>
                PMID:<\/strong>\u00a030478135 |\u00a0PMCID:<\/strong>\u00a0PMC6345642<\/li>\n
              26. Karlamangla, A. S., Merkin, S. S., Almeida, D. M., Friedman, E. M., Mogle, J. A., & Seeman, T. E. (2019). Early-life adversity and dysregulation of adult diurnal cortisol rhythm. Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 74<\/em>(1), 160-169.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gby097<\/a>
                PMID:<\/strong>\u00a030165409 |\u00a0PMCID:<\/strong>\u00a0PMC6612015<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

                2018<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                  \n
                1. Levine, M. E., Harrati, A., & Crimmins, E. M. (2018). Predictors and implications of accelerated cognitive aging. Biodemography and Social Biology, 64<\/em>(2), 83-101.\u00a0https:\/\/doi.org\/10.1080\/19485565.2018.1552513<\/a>
                  PMID:<\/strong>\u00a031007841 |\u00a0PMCID:<\/strong>\u00a0PMC6469682<\/li>\n
                2. Crimmins, E. M. (2018). Older persons in The Netherlands and the United States: Similar trends in life in good cognitive health and different trends in life without disability\/poor health. American Journal of Public Health, 108<\/em>(12), 1582-1583.\u00a0https:\/\/doi.org\/10.2105\/AJPH.2018.304759<\/a>
                  PMID:<\/strong>\u00a030403516 |\u00a0PMCID:<\/strong>\u00a0PMC6236729<\/li>\n
                3. Thyagarajan, B., Barcelo, H., Crimmins, E., Weir, D., Minnerath, S., Vivek, S., & Faul, J. (2018). Effect of delayed cell processing and cryopreservation on immunophenotyping in multicenter population studies. Journal of Immunological Methods, 463<\/em>, 61-70.\u00a0https:\/\/doi.org\/10.1016\/j.jim.2018.09.007<\/a>
                  PMID:<\/strong>\u00a030222961 |\u00a0PMCID:<\/strong>\u00a0PMC6423980<\/li>\n
                4. Brown, L. L., Zhang, Y. S., Mitchell, C., & Ailshire, J. (2018). Does telomere length indicate biological, physical, and cognitive health among older adults? Evidence from the Health and Retirement Study. Journal of Gerontology: Series A, Biological Sciences and Medical Sciences, 73<\/em>(12), 1626-1632.\u00a0https:\/\/doi.org\/10.1093\/gerona\/gly001<\/a>
                  PMID:<\/strong>\u00a029346517 |\u00a0PMCID:<\/strong>\u00a0PMC6230208<\/li>\n
                5. Aguila, E., L\u00f3pez-Ortega, M., & Guti\u00e9rrez Robledo, L. M. (2018). Non-contributory pension programs and frailty of older adults: Evidence from Mexico. PLoS ONE, 13<\/em>(11), e0206792.\u00a0https:\/\/doi.org\/10.1371\/journal.pone.0206792<\/a>
                  PMID:<\/strong>\u00a030388177 |\u00a0PMCID:<\/strong>\u00a0PMC6214535<\/li>\n
                6. Uchida, Y., Kitayama, S., Akutsu, S., Park, J., & Cole, S. W. (2018). Optimism and the conserved transcriptional response to adversity. Health Psychology, 37<\/em>(11), 1077-1080.\u00a0https:\/\/doi.org\/10.1037\/hea0000675<\/a>
                  PMID:<\/strong>\u00a030221968 |\u00a0PMCID:<\/strong>\u00a0PMC6188811<\/li>\n
                7. Fujishiro, K., Needham, B. L., Landsbergis, P. A., Seeman, T., Jenny, N. S., & Diez Roux, A. V. (2018). Selected occupational characteristics and change in leukocyte telomere length over 10 years: The Multi-Ethnic Study of Atherosclerosis (MESA). PLoS ONE, 13<\/em>(9), e0204704.\u00a0https:\/\/doi.org\/10.1371\/journal.pone.0204704<\/a>
                  PMID:<\/strong>\u00a030261026 |\u00a0PMCID:<\/strong>\u00a0PMC6160145<\/li>\n
                8. Yen, K., Wan, J., Mehta, H. H., Miller, B., Christensen, A., Levine, M. E., Salomon, M. P., Brandhorst, S., Xiao, J., Kim, S. J., Navarrete, G., Campo, D., Harry, G. J., Longo, V., Pike, C. J., Mack, W. J., Hodis, H. N., Crimmins, E. M., & Cohen, P. (2018). Humanin prevents age-related cognitive decline in mice and is associated with improved cognitive age in humans. Scientific Reports, 8<\/em>(1), 14212.\u00a0https:\/\/doi.org\/10.1038\/s41598-018-32616-7<\/a>
                  PMID:<\/strong>\u00a030242290 |\u00a0PMCID:<\/strong>\u00a0PMC6154958<\/li>\n
                9. Nguyen, A. W., Hamler, T. C., & Cobb, R. J. (2018). Discrimination and chronic kidney disease among Caribbean Blacks: The effects of immigration and social status. Race and Social Problems, 10<\/em>(3), 248-258.\u00a0https:\/\/doi.org\/10.1007\/s12552-018-9234-4<\/a>
                  PMID:<\/strong>\u00a031191734 |\u00a0PMCID:<\/strong>\u00a0PMC6561491<\/li>\n
                10. Tsai, K. M., Dahl, R. E., Irwin, M. R., Bower, J. E., McCreath, H., Seeman, T. E., Almeida, D. M., & Fuligni, A. J. (2018). The roles of parental support and family stress in adolescent sleep. Child Development, 89<\/em>(5), 1577-1588.\u00a0https:\/\/doi.org\/10.1111\/cdev.12917<\/a>
                  PMID:<\/strong>\u00a028777438 |\u00a0PMCID:<\/strong>\u00a0PMC5814359<\/li>\n
                11. Snodgrass, J. G., Dengah Ii, H. J. F., Lacy, M. G., Else, R. J., Polzer, E. R., Arevalo, J. M. G., & Cole, S. W. (2018). Social genomics of healthy and disordered internet gaming. American Journal of Human Biology, 30<\/em>(5), e23146.\u00a0https:\/\/doi.org\/10.1002\/ajhb.23146<\/a>
                  PMID:<\/strong>\u00a029923288 |\u00a0PMCID:<\/strong>\u00a0PMC6193816<\/li>\n
                12. Armer, J. S., Clevenger, L., Davis, L. Z., Cuneo, M., Thaker, P. H., Goodheart, M. J., Bender, D. P., Dahmoush, L., Sood, A. K., Cole, S. W., Slavich, G. M., & Lutgendorf, S. K. (2018). Life stress as a risk factor for sustained anxiety and cortisol dysregulation during the first year of survivorship in ovarian cancer. Cancer, 124<\/em>(16), 3401-3408.\u00a0https:\/\/doi.org\/10.1002\/cncr.31570<\/a>
                  PMID:<\/strong>\u00a029905941 |\u00a0PMCID:<\/strong>\u00a0PMC6108904<\/li>\n
                13. Saenz, J. L., Downer, B., Garcia, M. A., & Wong, R. (2018). Cognition and context: Rural-urban differences in cognitive aging among older Mexican adults. Journal of Aging and Health, 30<\/em>(6), 965-986.\u00a0https:\/\/doi.org\/10.1177\/0898264317703560<\/a>
                  PMID:<\/strong>\u00a028553815 |\u00a0PMCID:<\/strong>\u00a0PMC5623618<\/li>\n
                14. Black, D. S., Cole, S. W., Christodoulou, G., & Figueiredo, J. C. (2018). Genomic mechanisms of fatigue in survivors of colorectal cancer. Cancer, 124<\/em>(12), 2637-2644.\u00a0https:\/\/doi.org\/10.1002\/cncr.31356<\/a>
                  PMID:<\/strong>\u00a029579369 |\u00a0PMCID:<\/strong>\u00a0PMC5990448<\/li>\n
                15. Mitchell, U. A., Ailshire, J. A., Brown, L. L., Levine, M. E., & Crimmins, E. M. (2018). Education and psychosocial functioning among older adults: 4-year change in sense of control and hopelessness. Journal of Gerontology: Series B, Psychological Sciences and Social Sciences, 73<\/em>(5), 849-859.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbw031<\/a>
                  PMID:<\/strong>\u00a027013537 |\u00a0PMCID:<\/strong>\u00a0PMC6283311<\/li>\n
                16. Levine, M. E., & Crimmins, E. M. (2018). Is 60 the new 50? Examining changes in biological age over the past two decades. Demography, 55<\/em>(2), 387-402.\u00a0https:\/\/doi.org\/10.1007\/s13524-017-0644-5<\/a>
                  PMID:<\/strong>\u00a029511995 |\u00a0PMCID:<\/strong>\u00a0PMC5897168<\/li>\n
                17. Besser, L. M., Rodriguez, D. A., McDonald, N., Kukull, W. A., Fitzpatrick, A. L., Rapp, S. R., & Seeman, T. (2018). Neighborhood built environment and cognition in non-demented older adults: The Multi-Ethnic Study of Atherosclerosis. Social Science & Medicine, 200<\/em>, 27-35.\u00a0https:\/\/doi.org\/10.1016\/j.socscimed.2018.01.007<\/a>
                  PMID:<\/strong>\u00a029355828 |\u00a0PMCID:<\/strong>\u00a0PMC5893410<\/li>\n
                18. Li, M. J., Kechter, A., Olmstead, R. E., Irwin, M. R., & Black, D. S. (2018). Sleep and mood in older adults: Coinciding changes in insomnia and depression symptoms. International Psychogeriatrics, 30<\/em>(3), 431-435.\u00a0https:\/\/doi.org\/10.1017\/S1041610217001454<\/a>
                  PMID:<\/strong>\u00a028766467 |\u00a0PMCID:<\/strong>\u00a0PMC5796875<\/li>\n
                19. Sinatra, E., & Black, D. S. (2018). Mindfulness-based interventions for cancer survivors: What do we know about the assessment of quality of life outcomes? Expert Review of Quality of Life in Cancer Care, 3<\/em>(1), 5-7.\u00a0https:\/\/doi.org\/10.1080\/23809000.2018.1444480<\/a>
                  PMID:<\/strong>\u00a030775448 |\u00a0PMCID:<\/strong>\u00a0PMC6372121<\/li>\n
                20. Thomas, D., Seeman, T., Potter, A., Hu, P., Crimmins, E., Herningtyas, E. H., Sumantri, C., & Frankenberg, E. (2018). HPLC-based measurement of glycated hemoglobin using dried blood spots collected under adverse field conditions. Biodemography and Social Biology, 64<\/em>(1), 43-62.\u00a0https:\/\/doi.org\/10.1080\/19485565.2018.1451300<\/a>
                  PMID:<\/strong>\u00a029741414 |\u00a0PMCID:<\/strong>\u00a0PMC6173327<\/li>\n
                21. Majeno, A., Tsai, K. M., Huynh, V. W., McCreath, H., & Fuligni, A. J. (2018). Discrimination and sleep difficulties during adolescence: The mediating roles of loneliness and perceived stress. Journal of Youth and Adolescence, 47<\/em>(1), 135-147.\u00a0https:\/\/doi.org\/10.1007\/s10964-017-0755-8<\/a>
                  PMID:<\/strong>\u00a029164378 |\u00a0PMCID:<\/strong>\u00a0PMC5750084<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

                  2017<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                    \n
                  1. Beltr\u00e1n-S\u00e1nchez, H., Pebley, A., & Goldman, N. (2017). Links between primary occupation and functional limitations among older adults in Mexico. SSM – Population Health, 3<\/em>, 382-392.\u00a0https:\/\/doi.org\/10.1016\/j.ssmph.2017.04.001<\/a>
                    PMID:<\/strong>\u00a029085879 |\u00a0PMCID:<\/strong>\u00a0PMC5659182<\/li>\n
                  2. Chiang, J. J., Bower, J. E., Irwin, M. R., Taylor, S. E., & Fuligni, A. J. (2017). Adiposity moderates links from early adversity and depressive symptoms to inflammatory reactivity to acute stress during late adolescence. Brain, Behavior, and Immunity, 66<\/em>, 146-155.\u00a0https:\/\/doi.org\/10.1016\/j.bbi.2017.06.015<\/a>
                    PMID:<\/strong>\u00a028668557 |\u00a0PMCID:<\/strong>\u00a0PMC5718344<\/li>\n
                  3. Chiang, J. J., Kim, J. J., Almeida, D. M., Bower, J. E., Dahl, R. E., Irwin, M. R., McCreath, H., & Fuligni, A. J. (2017). Sleep efficiency modulates associations between family stress and adolescent depressive symptoms and negative affect. Journal of Adolescent Health, 61<\/em>(4), 501-507.\u00a0https:\/\/doi.org\/10.1016\/j.jadohealth.2017.04.011<\/a>
                    PMID:<\/strong>\u00a028729144 |\u00a0PMCID:<\/strong>\u00a0PMC5712225<\/li>\n
                  4. Hu, P., Wang, S., & Lee, J. (2017). Socioeconomic gradients of cardiovascular risk factors in China and India: Results from the China Health and Retirement Longitudinal Study and Longitudinal Aging Study in India. International Journal of Public Health, 62<\/em>(7), 763-773.\u00a0https:\/\/doi.org\/10.1007\/s00038-017-0968-3<\/a>
                    PMID:<\/strong>\u00a028401249 |\u00a0PMCID:<\/strong>\u00a0PMC5940550<\/li>\n
                  5. Levine, M. E., Crimmins, E. M., Weir, D. R., & Cole, S. W. (2017). Contemporaneous social environment and the architecture of late-life gene expression profiles. American Journal of Epidemiology, 186<\/em>(5), 503-509.\u00a0https:\/\/doi.org\/10.1093\/aje\/kwx147<\/a>
                    PMID:<\/strong>\u00a028911009 |\u00a0PMCID:<\/strong>\u00a0PMC5860329<\/li>\n
                  6. Christodoulou, G., & Black, D. S. (2017). Mindfulness-based interventions and sleep among cancer survivors: A critical analysis of randomized controlled trials. Current Oncology Reports, 19<\/em>(9), 60.\u00a0https:\/\/doi.org\/10.1007\/s11912-017-0621-6<\/a>
                    PMID:<\/strong>\u00a028748522 |\u00a0PMCID:<\/strong>\u00a0PMC7426071<\/li>\n
                  7. Black, D. S., Peng, C., Sleight, A. G., Nguyen, N., Lenz, H. J., & Figueiredo, J. C. (2017). Mindfulness practice reduces cortisol blunting during chemotherapy: A randomized controlled study of colorectal cancer patients. Cancer, 123<\/em>(16), 3088-3096.\u00a0https:\/\/doi.org\/10.1002\/cncr.30698<\/a>
                    PMID:<\/strong>\u00a028387949 |\u00a0PMCID:<\/strong>\u00a0PMC5544546<\/li>\n
                  8. Shaashua, L., Shabat-Simon, M., Haldar, R., Matzner, P., Zmora, O., Shabtai, M., Sharon, E., Allweis, T., Barshack, I., Hayman, L., Arevalo, J., Ma, J., Horowitz, M., Cole, S., & Ben-Eliyahu, S. (2017). Perioperative COX-2 and \u03b2-adrenergic blockade improves metastatic biomarkers in breast cancer patients in a Phase-II randomized trial. Clinical Cancer Research, 23<\/em>(16), 4651-4661.\u00a0https:\/\/doi.org\/10.1158\/1078-0432.CCR-17-0152<\/a>
                    PMID:<\/strong>\u00a028490464 |\u00a0PMCID:<\/strong>\u00a0PMC5559335<\/li>\n
                  9. Arpawong, T. E., Pendleton, N., Mekli, K., McArdle, J. J., Gatz, M., Armoskus, C., Knowles, J. A., & Prescott, C. A. (2017). Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort. PLoS ONE, 12<\/em>(8), e0182448.\u00a0https:\/\/doi.org\/10.1371\/journal.pone.0182448<\/a>
                    PMID:<\/strong>\u00a028800603 |\u00a0PMCID:<\/strong>\u00a0PMC5553750<\/li>\n
                  10. Silventoinen K, Jelenkovic A, Sund R, Yokoyama Y, Hur YM, Cozen W, Hwang AE, Mack TM, Honda C, Inui F, Iwatani Y, Watanabe M, Tomizawa R, Pietil\u00e4inen KH, Rissanen A, Siribaddana SH, Hotopf M, Sumathipala A, Rijsdijk F, Tan Q, Zhang D, Pang Z, Piirtola M, Aaltonen S, \u00d6ncel SY, Aliev F, Rebato E, Hjelmborg JB, Christensen K, Skytthe A, Kyvik KO, Silberg JL, Eaves LJ, Cutler TL, Ordo\u00f1ana JR, S\u00e1nchez-Romera JF, Colodro-Conde L, Song YM, Yang S, Lee K, Franz CE, Kremen WS, Lyons MJ, Busjahn A, Nelson TL, Whitfield KE, Kandler C, Jang KL, Gatz M, Butler DA, Stazi MA, Fagnani C, D’Ippolito C, Duncan GE, Buchwald D, Martin NG, Medland SE, Montgomery GW, Jeong HU, Swan GE, Krasnow R, Magnusson PK, Pedersen NL, Dahl Aslan AK, McAdams TA, Eley TC, Gregory AM, Tynelius P, Baker LA, Tuvblad C, Bayasgalan G, Narandalai D, Spector TD, Mangino M, Lachance G, Burt SA, Klump KL, Harris JR, Brandt I, Nilsen TS, Krueger RF, McGue M, Pahlen S, Corley RP, Huibregtse BM, Bartels M, van Beijsterveldt CE, Willemsen G, Goldberg JH, Rasmussen F, Tarnoki AD, Tarnoki DL, Derom CA, Vlietinck RF, Loos RJ, Hopper JL, Sung J, Maes HH, Turkheimer E, Boomsma DI, S\u00f8rensen TI, Kaprio J. (2017). Differences in genetic and environmental variation in adult BMI by sex, age, time period, and region: An individual-based pooled analysis of 40 twin cohorts.\u00a0American Journal of Clinical Nutrition, 106<\/em>(2), 457-466.\u00a0https:\/\/doi.org\/10.3945\/ajcn.117.153643<\/a>
                    PMID:<\/strong>\u00a028679550 |\u00a0PMCID:<\/strong> PMC5525120<\/li>\n
                  11. Cobb, R. J., \u00dcsk\u00fcp, D. K., & Jefferson, S. (2017). Congregational composition and explanations for racial inequality among Black religious affiliates. Race and Social Problems, 9<\/em>(2), 163-169. https:\/\/doi.org\/10.1007\/s12552-017-9208-y<\/a>
                    \nPMID:<\/strong>\u00a029643942 |\u00a0PMCID:<\/strong>\u00a0PMC5890945<\/li>\n
                  12. Espeland, M. A., Crimmins, E. M., Grossardt, B. R., Crandall, J. P., Gelfond, J. A., Harris, T. B., Kritchevsky, S. B., Manson, J. E., Robinson, J. G., Rocca, W. A., Temprosa, M., Thomas, F., Wallace, R., & Barzilai, N. (2017). Clinical trials targeting aging and age-related multimorbidity. Journal of Gerontology: Series A, Biological Sciences and Medical Sciences, 72<\/em>(3), 355-361.\u00a0https:\/\/doi.org\/10.1093\/gerona\/glw220<\/a>
                    PMID:<\/strong>\u00a028364543 |\u00a0PMCID:<\/strong>\u00a0PMC5777384<\/li>\n
                  13. Carroll, J. E., Irwin, M. R., Levine, M., Seeman, T. E., Absher, D., Assimes, T., & Horvath, S. (2017). Epigenetic aging and immune senescence in women with insomnia symptoms: Findings from the Women’s Health Initiative Study. Biological Psychiatry, 81<\/em>(2), 136-144.\u00a0https:\/\/doi.org\/10.1016\/j.biopsych.2016.07.008<\/a>
                    PMID:<\/strong>\u00a027702440 |\u00a0PMCID:<\/strong>\u00a0PMC5536960<\/li>\n
                  14. Thorpe, R. J. Jr, Parker, L. J., Cobb, R. J., Dillard, F., & Bowie, J. (2017). Association between discrimination and obesity in African-American men. Biodemography and Social Biology, 63<\/em>(3), 253-261.\u00a0https:\/\/doi.org\/10.1080\/19485565.2017.1353406<\/a>
                    PMID:<\/strong>\u00a029035104 |\u00a0PMCID:<\/strong>\u00a0PMC5889913<\/li>\n
                  15. Crimmins, E. (2017). Introduction to issue on gender dynamics and disparities in health and mortality. Biodemography and Social Biology, 63<\/em>(1), 1-2.\u00a0https:\/\/doi.org\/10.1080\/19485565.2017.1293423<\/a>
                    PMID:<\/strong>\u00a028287307 |\u00a0PMCID:<\/strong>\u00a0PMC6548185<\/li>\n
                  16. Langa, K. M., Larson, E. B., Crimmins, E. M., Faul, J. D., Levine, D. A., Kabeto, M. U., & Weir, D. R. (2017). A comparison of the prevalence of dementia in the United States in 2000 and 2012. JAMA Internal Medicine, 177<\/em>(1), 51-58.\u00a0https:\/\/doi.org\/10.1001\/jamainternmed.2016.6807<\/a>
                    PMID:<\/strong>\u00a027893041 |\u00a0PMCID:<\/strong>\u00a0PMC5195883<\/li>\n
                  17. Enguidanos, S., & Ailshire, J. (2017). Timing of advance directive completion and relationship to care preferences. Journal of Pain and Symptom Management, 53<\/em>(1), 49-56.\u00a0https:\/\/doi.org\/10.1016\/j.jpainsymman.2016.08.008<\/a>
                    PMID:<\/strong>\u00a027720793 |\u00a0PMCID:<\/strong>\u00a0PMC5191953<\/li>\n
                  18. Duru, O. S., & Purnell, T. S. (2017). Eradicating dominant ideologies in higher education: The responsibility of campus leadership in developing a culturally-congruent education experience. Journal of Higher Education Policy and Management, 39<\/em>(6), 707-719.\u00a0https:\/\/doi.org\/10.1080\/1360080X.2017.1361220<\/a>
                    NIHMSID:<\/strong>\u00a0NIHMS2028346<\/li>\n
                  19. Langa, K. M., Larson, E. B., Crimmins, E. M., Faul, J. D., Levine, D. A., Kabeto, M. U., & Weir, D. R. (2017). Sex, race, and age differences in prevalence of dementia in Medicare claims and survey data. The Journals of Gerontology: Series B, Psychological Sciences and Social Sciences, 72<\/em>(6), 865-875.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbw060<\/a>
                    NIHMSID:<\/strong>\u00a0NIHMS1609721<\/li>\n
                  20. Crimmins, E. M., & Zheng, D. (2017). The importance of improving educational attainment for dementia prevalence trends from 2000-2014, among older non-Hispanic Black and White Americans. The Journals of Gerontology: Series B, Psychological Sciences and Social Sciences, 72<\/em>(4), 538-546.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbw176<\/a>
                    NIHMSID:<\/strong>\u00a0NIHMS1692326<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

                    2016<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                      \n
                    1. Jelenkovic A, Hur YM, Sund R, Yokoyama Y, Siribaddana SH, Hotopf M, Sumathipala A, Rijsdijk F, Tan Q, Zhang D, Pang Z, Aaltonen S, Heikkil\u00e4 K, \u00d6ncel SY, Aliev F, Rebato E, Tarnoki AD, Tarnoki DL, Christensen K, Skytthe A, Kyvik KO, Silberg JL, Eaves LJ, Maes HH, Cutler TL, Hopper JL, Ordo\u00f1ana JR, S\u00e1nchez-Romera JF, Colodro-Conde L, Cozen W, Hwang AE, Mack TM, Sung J, Song YM, Yang S, Lee K, Franz CE, Kremen WS, Lyons MJ, Busjahn A, Nelson TL, Whitfield KE, Kandler C, Jang KL, Gatz M, Butler DA, Stazi MA, Fagnani C, D’Ippolito C, Duncan GE, Buchwald D, Derom CA, Vlietinck RF, Loos RJ, Martin NG, Medland SE, Montgomery GW, Jeong HU, Swan GE, Krasnow R, Magnusson PK, Pedersen NL, Dahl-Aslan AK, McAdams TA, Eley TC, Gregory AM, Tynelius P, Baker LA, Tuvblad C, Bayasgalan G, Narandalai D, Lichtenstein P, Spector TD, Mangino M, Lachance G, Bartels M, van Beijsterveldt TC, Willemsen G, Burt SA, Klump KL, Harris JR, Brandt I, Nilsen TS, Krueger RF, McGue M, Pahlen S, Corley RP, Hjelmborg JV, Goldberg JH, Iwatani Y, Watanabe M, Honda C, Inui F, Rasmussen F, Huibregtse BM, Boomsma DI, S\u00f8rensen TI, Kaprio J, Silventoinen K. (2016). Genetic and environmental influences on adult human height across birth cohorts from 1886 to 1994.\u00a0eLife, 5<\/em>, e20320.\u00a0https:\/\/doi.org\/10.7554\/eLife.20320<\/a>
                      PMID:<\/strong>\u00a027964777 |\u00a0PMCID:<\/strong>\u00a0PMC5156525<\/li>\n
                    2. Cobb, R. J., Thomas, C. S., Laster Pirtle, W. N., & Darity, W. A. Jr. (2016). Self-identified race, socially assigned skin tone, and adult physiological dysregulation: Assessing multiple dimensions of “race” in health disparities research. SSM – Population Health, 2<\/em>, 595-602.\u00a0https:\/\/doi.org\/10.1016\/j.ssmph.2016.06.007<\/a>
                      PMID:<\/strong>\u00a029349174 |\u00a0PMCID:<\/strong>\u00a0PMC5757885<\/li>\n
                    3. Crimmins, E. M., Saito, Y., & Kim, J. K. (2016). Change in cognitively healthy and cognitively impaired life expectancy in the United States: 2000-2010. SSM – Population Health, 2<\/em>, 793-797.\u00a0https:\/\/doi.org\/10.1016\/j.ssmph.2016.10.007<\/a>
                      PMID:<\/strong>\u00a027917398 |\u00a0PMCID:<\/strong>\u00a0PMC5130162<\/li>\n
                    4. Min, J., Ailshire, J., & Crimmins, E. M. (2016). Social engagement and depressive symptoms: Do baseline depression status and type of social activities make a difference? Age and Ageing, 45<\/em>(6), 838-843.\u00a0https:\/\/doi.org\/10.1093\/ageing\/afw125<\/a>
                      PMID:<\/strong>\u00a027496942 |\u00a0PMCID:<\/strong>\u00a0PMC6312002<\/li>\n
                    5. Guan, S. A., Bower, J. E., Almeida, D. M., Cole, S. W., Dahl, R. E., Irwin, M. R., Seeman, T. E., McDade, T., & Fuligni, A. J. (2016). Parental support buffers the association of depressive symptoms with cortisol and C-reactive protein during adolescence. Brain, Behavior, and Immunity, 57<\/em>, 134-143.\u00a0https:\/\/doi.org\/10.1016\/j.bbi.2016.03.007<\/a>
                      PMID:<\/strong>\u00a026995316 |\u00a0PMCID:<\/strong>\u00a0PMC5010993<\/li>\n
                    6. Black, D. S., Li, M. J., Ihenacho, U., Nguyen, N. T., de Fatima Reyes, M., Milam, J., Pentz, M. A., & Figueiredo, J. C. (2016). Shared health characteristics in Hispanic colorectal cancer patients and their primary social support person following primary diagnosis. Psycho-Oncology, 25<\/em>(9), 1028-1035.\u00a0https:\/\/doi.org\/10.1002\/pon.3938<\/a>
                      PMID:<\/strong>\u00a026291178 |\u00a0PMCID:<\/strong>\u00a0PMC4925318<\/li>\n
                    7. Chiang, J. J., Tsai, K. M., Park, H., Bower, J. E., Almeida, D. M., Dahl, R. E., Irwin, M. R., Seeman, T. E., & Fuligni, A. J. (2016). Daily family stress and HPA axis functioning during adolescence: The moderating role of sleep. Psychoneuroendocrinology, 71<\/em>, 43-53.\u00a0https:\/\/doi.org\/10.1016\/j.psyneuen.2016.05.009<\/a>
                      PMID:<\/strong>\u00a027235639 |\u00a0PMCID:<\/strong>\u00a0PMC5718343<\/li>\n
                    8. Tiedt, A. D., Saito, Y., & Crimmins, E. M. (2016). Depressive symptoms, transitions to widowhood, and informal support from adult children among older women and men in Japan. Research on Aging, 38<\/em>(6), 619-642.\u00a0https:\/\/doi.org\/10.1177\/0164027515595442<\/a>
                      PMID:<\/strong>\u00a026243334 |\u00a0PMCID:<\/strong>\u00a0PMC4899311<\/li>\n
                    9. Irwin, M. R., Olmstead, R., & Carroll, J. E. (2016). Sleep disturbance, sleep duration, and inflammation: A systematic review and meta-analysis of cohort studies and experimental sleep deprivation. Biological Psychiatry, 80<\/em>(1), 40-52.\u00a0https:\/\/doi.org\/10.1016\/j.biopsych.2015.05.014<\/a>
                      PMID:<\/strong>\u00a026140821 |\u00a0PMCID:<\/strong>\u00a0PMC4666828<\/li>\n
                    10. Wheaton, F. V., & Crimmins, E. M. (2016). Female disability disadvantage: A global perspective on sex differences in physical function and disability. Ageing & Society, 36<\/em>(6), 1136-1156.\u00a0https:\/\/doi.org\/10.1017\/S0144686X15000227<\/a>
                      PMID:<\/strong>\u00a027453613 |\u00a0PMCID:<\/strong>\u00a0PMC4957517<\/li>\n
                    11. Crimmins, E. M., Zhang, Y., & Saito, Y. (2016). Trends over 4 decades in disability-free life expectancy in the United States. American Journal of Public Health, 106<\/em>(7), 1287-1293.\u00a0https:\/\/doi.org\/10.2105\/AJPH.2016.303120<\/a>
                      PMID:<\/strong>\u00a027077352 |\u00a0PMCID:<\/strong>\u00a0PMC4984740<\/li>\n
                    12. Park, H., Tsai, K. M., Dahl, R. E., Irwin, M. R., McCreath, H., Seeman, T. E., & Fuligni, A. J. (2016). Sleep and inflammation during adolescence. Psychosomatic Medicine, 78<\/em>(6), 677-685.\u00a0https:\/\/doi.org\/10.1097\/PSY.0000000000000340<\/a>
                      PMID:<\/strong>\u00a027136501 |\u00a0PMCID:<\/strong>\u00a0PMC4927381<\/li>\n
                    13. Black, D. S., Lam, C. N., Nguyen, N. T., Ihenacho, U., & Figueiredo, J. C. (2016). Complementary and integrative health practices among Hispanics diagnosed with colorectal cancer: Utilization and communication with physicians. Journal of Alternative and Complementary Medicine, 22<\/em>(6), 473-479.\u00a0https:\/\/doi.org\/10.1089\/acm.2015.0332<\/a>
                      PMID:<\/strong>\u00a027163178 |\u00a0PMCID:<\/strong>\u00a0PMC4921899<\/li>\n
                    14. Black, D. S., & Slavich, G. M. (2016). Mindfulness meditation and the immune system: A systematic review of randomized controlled trials. Annals of the New York Academy of Sciences, 1373<\/em>(1), 13-24.\u00a0https:\/\/doi.org\/10.1111\/nyas.12998<\/a>
                      PMID:<\/strong>\u00a026799456 |\u00a0PMCID:<\/strong>\u00a0PMC4940234<\/li>\n
                    15. Levine, M. E., & Crimmins, E. M. (2016). A genetic network associated with stress resistance, longevity, and cancer in humans. Journal of Gerontology: Series A, Biological Sciences and Medical Sciences, 71<\/em>(6), 703-712.\u00a0https:\/\/doi.org\/10.1093\/gerona\/glv141<\/a>
                      PMID:<\/strong>\u00a026355015 |\u00a0PMCID:<\/strong>\u00a0PMC4888382<\/li>\n
                    16. Dooley, L. N., Ganz, P. A., Cole, S. W., Crespi, C. M., & Bower, J. E. (2016). Val66Met BDNF polymorphism as a vulnerability factor for inflammation-associated depressive symptoms in women with breast cancer. Journal of Affective Disorders, 197<\/em>, 43-50.\u00a0https:\/\/doi.org\/10.1016\/j.jad.2016.02.059<\/a>
                      PMID:<\/strong>\u00a026967918 |\u00a0PMCID:<\/strong>\u00a0PMC4836957<\/li>\n
                    17. Zhao, Y., Crimmins, E. M., Hu, P., Shen, Y., Smith, J. P., Strauss, J., Wang, Y., & Zhang, Y. (2016). Prevalence, diagnosis, and management of diabetes mellitus among older Chinese: Results from the China Health and Retirement Longitudinal Study. International Journal of Public Health, 61<\/em>(3), 347-356.\u00a0https:\/\/doi.org\/10.1007\/s00038-015-0780-x<\/a>
                      PMID:<\/strong>\u00a026755457 |\u00a0PMCID:<\/strong>\u00a0PMC4880519<\/li>\n
                    18. Finch, C. E., & Crimmins, E. M. (2016). Constant molecular aging rates vs. the exponential acceleration of mortality. Proceedings of the National Academy of Sciences of the United States of America, 113<\/em>(5), 1121-1123.\u00a0https:\/\/doi.org\/10.1073\/pnas.1524017113<\/a>
                      PMID:<\/strong>\u00a026792520 |\u00a0PMCID:<\/strong>\u00a0PMC4747695<\/li>\n
                    19. Brown, A. F., Morris, D. M., Kahn, K. L., Sankar\u00e9, I. C., King, K. M., Vargas, R., Lucas-Wright, A., Jones, L. F., Flowers, A., Jones, F. U., Bross, R., Banner, D., Del Pino, H. E., Pitts, O. L., Zhang, L., Porter, C., Madrigal, S. K., Vassar, S. D., Vangala, S., Liang, L. J., Martinez, A. B., & Norris, K. C. (2016). The Healthy Community Neighborhood Initiative: Rationale and design. Ethnicity & Disease, 26<\/em>(1), 123-132. https:\/\/doi.org\/10.18865\/ed.26.1.123<\/a>
                      PMID:<\/strong> 26843805 | PMCID:<\/strong> PMC4738849<\/li>\n
                    20. Knight, J. M., Rizzo, J. D., Logan, B. R., Wang, T., Arevalo, J. M., Ma, J., & Cole, S. W. (2016). Low socioeconomic status, adverse gene expression profiles, and clinical outcomes in hematopoietic stem cell transplant recipients. Clinical Cancer Research, 22<\/em>(1), 69-78.\u00a0https:\/\/doi.org\/10.1158\/1078-0432.CCR-15-1344<\/a>
                      PMID:<\/strong>\u00a026286914 |\u00a0PMCID:<\/strong>\u00a0PMC4703514<\/li>\n
                    21. McDade, T. W., Ross, K. M., Fried, R. L., Arevalo, J. M., Ma, J., Miller, G. E., & Cole, S. W. (2016). Genome-wide profiling of RNA from dried blood spots: Convergence with bioinformatic results derived from whole venous blood and peripheral blood mononuclear cells. Biodemography and Social Biology, 62<\/em>(2), 182-197.\u00a0https:\/\/doi.org\/10.1080\/19485565.2016.1185600<\/a>
                      PMID:<\/strong>\u00a027337553 |\u00a0PMCID:<\/strong>\u00a0PMC4972449<\/li>\n
                    22. Carroll, J. E., Cole, S. W., Seeman, T. E., Breen, E. C., Witarama, T., Arevalo, J. M. G., Ma, J., & Irwin, M. R. (2016). Partial sleep deprivation activates the DNA damage response (DDR) and the senescence-associated secretory phenotype (SASP) in aged adult humans. Brain, Behavior, and Immunity, 51<\/em>, 223-229.\u00a0https:\/\/doi.org\/10.1016\/j.bbi.2015.08.024<\/a>
                      PMID:<\/strong>\u00a026336034 |\u00a0PMCID:<\/strong>\u00a0PMC4679552<\/li>\n
                    23. Arpawong, T. E., Lee, J., Phillips, D. F., Crimmins, E. M., Levine, M. E., & Prescott, C. A. (2016). Effects of recent stress and variation in the serotonin transporter polymorphism (5-HTTLPR) on depressive symptoms: A repeated-measures study of adults age 50 and older. Behavior Genetics, 46<\/em>(1), 72-88.\u00a0https:\/\/doi.org\/10.1007\/s10519-015-9740-8<\/a>
                      PMID:<\/strong>\u00a026330209 |\u00a0PMCID:<\/strong>\u00a0PMC4720538<\/li>\n
                    24. Levine, M. E., Crimmins, E. M., & Weir, D. R. (2016). Aging on the job? The association between occupational characteristics and accelerated biological aging.The Journals of Gerontology: Series B, Psychological Sciences and Social Sciences.<\/em>\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbw138<\/a>
                      NIHMSID:<\/strong>\u00a0NIHMS1911206<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

                      2015<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                        \n
                      1. Saito, Y., Davarian, S., Takahashi, A., Schneider, E., & Crimmins, E. M. (2015). Diagnosis and control of hypertension in the elderly populations of Japan and the United States. International Journal of Population Studies, 1<\/em>(1), 19-28.\u00a0https:\/\/doi.org\/10.18063\/IJPS.2015.01.008<\/a>
                        PMID:<\/strong>\u00a028553664 |\u00a0PMCID:<\/strong>\u00a0PMC5443653<\/li>\n
                      2. Park, J. Z., Martinez, B. C., Cobb, R., Park, J. J., & Wong, E. R. (2015). Exceptional outgroup stereotypes and White racial inequality attitudes toward Asian Americans. Social Psychology Quarterly, 78<\/em>(4), 399-411.\u00a0https:\/\/doi.org\/10.1177\/0190272515606433<\/a>
                        PMID:<\/strong>\u00a027478288 |\u00a0PMCID:<\/strong>\u00a0PMC4963034<\/li>\n
                      3. Cole, S. W., Levine, M. E., Arevalo, J. M., Ma, J., Weir, D. R., & Crimmins, E. M. (2015). Loneliness, eudaimonia, and the human conserved transcriptional response to adversity. Psychoneuroendocrinology, 62<\/em>, 11-17.\u00a0https:\/\/doi.org\/10.1016\/j.psyneuen.2015.07.001<\/a>
                        PMID:<\/strong>\u00a026246388 |\u00a0PMCID:<\/strong>\u00a0PMC4637182<\/li>\n
                      4. Beltr\u00e1n-S\u00e1nchez, H., Soneji, S., & Crimmins, E. M. (2015). Past, present, and future of healthy life expectancy. Cold Spring Harbor Perspectives in Medicine, 5<\/em>(11).\u00a0https:\/\/doi.org\/10.1101\/cshperspect.a025957<\/a>
                        PMID:<\/strong>\u00a026525456 |\u00a0PMCID:<\/strong>\u00a0PMC4632858<\/li>\n
                      5. Upchurch, D. M., Rainisch, B. W., & Chyu, L. (2015). Greater leisure time physical activity is associated with lower allostatic load in White, Black, and Mexican American midlife women: Findings from the National Health and Nutrition Examination Survey, 1999 through 2004. Women\u2019s Health Issues, 25<\/em>(6), 680-687.\u00a0https:\/\/doi.org\/10.1016\/j.whi.2015.07.002<\/a>
                        PMID:<\/strong>\u00a026344446 |\u00a0PMCID:<\/strong>\u00a0PMC4641768<\/li>\n
                      6. Sankar\u00e9, I. C., Bross, R., Brown, A. F., Del Pino, H. E., Jones, L. F., Morris, D. M., Porter, C., Lucas-Wright, A., Vargas, R., Forge, N., Norris, K. C., & Kahn, K. L. (2015). Strategies to build trust and recruit African American and Latino community residents for health research: A cohort study. Clinical and Translational Science, 8<\/em>(5), 412-420.\u00a0https:\/\/doi.org\/10.1111\/cts.12273<\/a>
                        PMID:<\/strong>\u00a026094679 |\u00a0PMCID:<\/strong>\u00a0PMC4626334<\/li>\n
                      7. Cobb, R. J., Dougherty, K. D., Park, J. Z., & Perry, S. L. (2015). Congregational size and attitudes towards racial inequality among church attendees in America. Religions, 6<\/em>(3), 781-793.\u00a0https:\/\/doi.org\/10.3390\/rel6030781<\/a>
                        PMID:<\/strong>\u00a027429797 |\u00a0PMCID:<\/strong>\u00a0PMC4944850<\/li>\n
                      8. Cole, S. W., Nagaraja, A. S., Lutgendorf, S. K., Green, P. A., & Sood, A. K. (2015). Sympathetic nervous system regulation of the tumour microenvironment. Nature Reviews Cancer, 15<\/em>(9), 563-572.\u00a0https:\/\/doi.org\/10.1038\/nrc3978<\/a>
                        PMID:<\/strong>\u00a026299593 |\u00a0PMCID:<\/strong>\u00a0PMC4828959<\/li>\n
                      9. Joshi, P. K., Esko, T., Mattsson, H., Eklund, N., Gandin, I., Nutile, T., Jackson, A. U., Schurmann, C., Smith, A. V., Zhang, W., Okada, Y., Stan\u010d\u00e1kov\u00e1, A., Faul, J. D., Zhao, W., Bartz, T. M., Concas, M. P., Franceschini, N., Enroth, S., Vitart, V., Trompet, S., Guo, X., Chasman, D. I., O’Connel, J. R., Corre, T., Nongmaithem, S. S., Chen, Y., Mangino, M., Ruggiero, D., Traglia, M., Farmaki, A. E., Kacprowski, T., Bjonnes, A., van der Spek, A., Wu, Y., Giri, A. K., Yanek, L. R., Wang, L., Hofer, E., Rietveld, C. A., McLeod, O., Cornelis, M. C., Pattaro, C., Verweij, N., Baumbach, C., Abdellaoui, A., Warren, H. R., Vuckovic, D., Mei, H., Bouchard, C., Perry, J. R. B., Cappellani, S., Mirza, S. S., Benton, M. C., Broeckel, U., Medland, S. E., Lind, P. A., Malerba, G., Drong, A., Yengo, L., Bielak, L. F., Zhi, D., van der Most, P. J., Shriner, D., M\u00e4gi, R., Hemani, G., Karaderi, T., Wang, Z., Liu, T., Demuth, I., Zhao, J. H., Meng, W., Lataniotis, L., van der Laan, S. W., Bradfield, J. P., Wood, A. R., Bonnefond, A., Ahluwalia, T. S., Hall, L. M., Salvi, E., Yazar, S., Carstensen, L., de Haan, H. G., Abney, M., Afzal, U., Allison, M. A., Amin, N., Asselbergs, F. W., Bakker, S. J. L., Barr, R. G., Baumeister, S. E., Benjamin, D. J., Bergmann, S., Boerwinkle, E., Bottinger, E. P., Campbell, A., Chakravarti, A., Chan, Y., Chanock, S. J., Chen, C., Chen, Y. I., Collins, F. S., Connell, J., Correa, A., Cupples, L. A., Smith, G. D., Davies, G., D\u00f6rr, M., Ehret, G., Ellis, S. B., Feenstra, B., Feitosa, M. F., Ford, I., Fox, C. S., Frayling, T. M., Friedrich, N., Geller, F., Scotland, G., Gillham-Nasenya, I., Gottesman, O., Graff, M., Grodstein, F., Gu, C., Haley, C., Hammond, C. J., Harris, S. E., Harris, T. B., Hastie, N. D., Heard-Costa, N. L., Heikkil\u00e4, K., Hocking, L. J., Homuth, G., Hottenga, J. J., Huang, J., Huffman, J. E., Hysi, P. G., Ikram, M. A., Ingelsson, E., Joensuu, A., Johansson, \u00c5., Jousilahti, P., Jukema, J. W., K\u00e4h\u00f6nen, M., Kamatani, Y., Kanoni, S., Kerr, S. M., Khan, N. M., Koellinger, P., Koistinen, H. A., Kooner, M. K., Kubo, M., Kuusisto, J., Lahti, J., Launer, L. J., Lea, R. A., Lehne, B., Lehtim\u00e4ki, T., Liewald, D. C. M., Lind, L., Loh, M., Lokki, M. L., London, S. J., Loomis, S. J., Loukola, A., Lu, Y., Lumley, T., Lundqvist, A., M\u00e4nnist\u00f6, S., Marques-Vidal, P., Masciullo, C., Matchan, A., Mathias, R. A., Matsuda, K., Meigs, J. B., Meisinger, C., Meitinger, T., Menni, C., Mentch, F. D., Mihailov, E., Milani, L., Montasser, M. E., Montgomery, G. W., Morrison, A., Myers, R. H., Nadukuru, R., Navarro, P., Nelis, M., Nieminen, M. S., Nolte, I. M., O’Connor, G. T., Ogunniyi, A., Padmanabhan, S., Palmas, W. R., Pankow, J. S., Patarcic, I., Pavani, F., Peyser, P. A., Pietilainen, K., Poulter, N., Prokopenko, I., Ralhan, S., Redmond, P., Rich, S. S., Rissanen, H., Robino, A., Rose, L. M., Rose, R., Sala, C., Salako, B., Salomaa, V., Sarin, A. P., Saxena, R., Schmidt, H., Scott, L. J., Scott, W. R., Sennblad, B., Seshadri, S., Sever, P., Shrestha, S., Smith, B. H., Smith, J. A., Soranzo, N., Sotoodehnia, N., Southam, L., Stanton, A. V., Stathopoulou, M. G., Strauch, K., Strawbridge, R. J., Suderman, M. J., Tandon, N., Tang, S. T., Taylor, K. D., Tayo, B. O., T\u00f6glhofer, A. M., Tomaszewski, M., T\u0161ernikova, N., Tuomilehto, J., Uitterlinden, A. G., Vaidya, D., van Hylckama Vlieg, A., van Setten, J., Vasankari, T., Vedantam, S., Vlachopoulou, E., Vozzi, D., Vuoksimaa, E., Waldenberger, M., Ware, E. B., Wentworth-Shields, W., Whitfield, J. B., Wild, S., Willemsen, G., Yajnik, C. S., Yao, J., Zaza, G., Zhu, X., Project, T. B. J., Salem, R. M., Melbye, M., Bisgaard, H., Samani, N. J., Cusi, D., Mackey, D. A., Cooper, R. S., Froguel, P., Pasterkamp, G., Grant, S. F. A., Hakonarson, H., Ferrucci, L., Scott, R. A., Morris, A. D., Palmer, C. N. A., Dedoussis, G., Deloukas, P., Bertram, L., Lindenberger, U., Berndt, S. I., Lindgren, C. M., Timpson, N. J., T\u00f6njes, A., Munroe, P. B., S\u00f8rensen, T. I. A., Rotimi, C. N., Arnett, D. K., Oldehinkel, A. J., Kardia, S. L. R., Balkau, B., Gambaro, G., Morris, A. P., Eriksson, J. G., Wright, M. J., Martin, N. G., Hunt, S. C., Starr, J. M., Deary, I. J., Griffiths, L. R., Tiemeier, H., Pirastu, N., Kaprio, J., Wareham, N. J., P\u00e9russe, L., Wilson, J. G., Girotto, G., Caulfield, M. J., Raitakari, O., Boomsma, D. I., Gieger, C., van der Harst, P., Hicks, A. A., Kraft, P., Sinisalo, J., Knekt, P., Johannesson, M., Magnusson, P. K. E., Hamsten, A., Schmidt, R., Borecki, I. B., Vartiainen, E., Becker, D. M., Bharadwaj, D., Mohlke, K. L., Boehnke, M., van Duijn, C. M., Sanghera, D. K., Teumer, A., Zeggini, E., Metspalu, A., Gasparini, P., … Wilson, J. F. (2015). Directional dominance on stature and cognition in diverse human populations.\u00a0Nature, 523<\/em>(7561), 459-462.\u00a0https:\/\/doi.org\/10.1038\/nature14618<\/a>
                        PMID:<\/strong>\u00a026131930 |\u00a0PMCID:<\/strong>\u00a0PMC4516141<\/li>\n
                      10. Beltr\u00e1n-S\u00e1nchez, H., Finch, C. E., & Crimmins, E. M.<\/strong>(2015). Twentieth century surge of excess adult male mortality.\u00a0Proceedings of the National Academy of Sciences of the United States of America, 112<\/em>(29), 8993-8998.\u00a0https:\/\/doi.org\/10.1073\/pnas.1421942112<\/a>
                        PMID:<\/strong>\u00a026150507 |\u00a0PMCID:<\/strong>\u00a0PMC4517277<\/li>\n
                      11. Fitzpatrick, A. L., Rapp, S. R., Luchsinger, J., Hill-Briggs, F., Alonso, A., Gottesman, R., Lee, H., Carnethon, M., Liu, K., Williams, K., Sharrett, A. R., Frazier-Wood, A., Lyketsos, C., & Seeman, T.<\/strong>(2015). Sociodemographic correlates of cognition in the Multi-Ethnic Study of Atherosclerosis (MESA).\u00a0American Journal of Geriatric Psychiatry, 23<\/em>(7), 684-697.\u00a0https:\/\/doi.org\/10.1016\/j.jagp.2015.01.003<\/a>
                        PMID:<\/strong>\u00a025704999 |\u00a0PMCID:<\/strong>\u00a0PMC4465027<\/li>\n
                      12. Crimmins, E. M., & Saito, Y.<\/strong>(2015). Fertility history and cognitive function in late-life: The case of Mexico.\u00a0The Journals of Gerontology: Series B, Psychological Sciences and Social Sciences<\/em>.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbv053<\/a>
                        NIHMSID:<\/strong>\u00a0NIHMS1057882<\/li>\n
                      13. Hu, P., Edenfield, M., Potter, A., Kale, V., Risbud, A., Williams, S., Lee, J., Bloom, D. E., Crimmins, E., & Seeman, T.<\/strong>(2015). Validation and modification of dried blood spot-based glycosylated hemoglobin assay for the longitudinal aging study in India.\u00a0American Journal of Human Biology, 27<\/em>(4), 579-581.\u00a0https:\/\/doi.org\/10.1002\/ajhb.22664<\/a>
                        PMID:<\/strong>\u00a025472916 |\u00a0PMCID:<\/strong>\u00a0PMC4454625<\/li>\n
                      14. Cobb, R. J., Perry, S. L., & Dougherty, K. D.<\/strong>(2015). United by faith? Race\/ethnicity, congregational diversity, and explanations of racial inequality.\u00a0Sociology of Religion, 76<\/em>(2), 177-198.\u00a0https:\/\/doi.org\/10.1093\/socrel\/sru067<\/a>
                        PMID:<\/strong>\u00a027429542 |\u00a0PMCID:<\/strong>\u00a0PMC4944383<\/li>\n
                      15. King, K. M., Morris, D., Jones, L., Lucas-Wright, A., Jones, F., Del Pino, H. E., Porter, C., Vargas, R., Kahn, K., Brown, A. F., & Norris, K. C.<\/strong>(2015). The Los Angeles Healthy Community Neighborhood Initiative: A ten-year experience in building and sustaining a successful community-academic partnership.\u00a0HSOA Journal of Community Medicine & Public Health Care, 2<\/em>(2).
                        PMID:<\/strong>\u00a027747314 |\u00a0PMCID:<\/strong>\u00a0PMC5061128<\/li>\n
                      16. Upchurch, D. M., Stein, J., Greendale, G. A., Chyu, L., Tseng, C. H., Huang, M. H., Lewis, T. T., Kravitz, H. M., & Seeman, T.<\/strong>(2015). A longitudinal investigation of race, socioeconomic status, and psychosocial mediators of allostatic load in midlife women: Findings from the Study of Women’s Health Across the Nation.\u00a0Psychosomatic Medicine, 77<\/em>(4), 402-412.\u00a0https:\/\/doi.org\/10.1097\/PSY.0000000000000175<\/a>
                        PMID:<\/strong>\u00a025886828 |\u00a0PMCID:<\/strong>\u00a0PMC4431938<\/li>\n
                      17. Levine, M. E., Cole, S. W., Weir, D. R., & Crimmins, E. M.<\/strong>(2015). Childhood and later life stressors and increased inflammatory gene expression at older ages.\u00a0Social Science & Medicine, 130<\/em>, 16-22.\u00a0https:\/\/doi.org\/10.1016\/j.socscimed.2015.01.030<\/a>
                        PMID:<\/strong>\u00a025658624 |\u00a0PMCID:<\/strong>\u00a0PMC4394113<\/li>\n
                      18. Sol\u00e9-Aur\u00f3, A., Michaud, P. C., Hurd, M., & Crimmins, E.<\/strong>(2015). Disease incidence and mortality among older Americans and Europeans.\u00a0Demography, 52<\/em>(2), 593-611.\u00a0https:\/\/doi.org\/10.1007\/s13524-015-0372-7<\/a>
                        PMID:<\/strong>\u00a025715676 |\u00a0PMCID:<\/strong>\u00a0PMC4441205<\/li>\n
                      19. Donoho, C. J., Seeman, T. E., Sloan, R. P., & Crimmins, E. M.<\/strong>(2015). Marital status, marital quality, and heart rate variability in the MIDUS cohort.\u00a0Journal of Family Psychology, 29<\/em>(2), 290-295.\u00a0https:\/\/doi.org\/10.1037\/fam0000068<\/a>
                        PMID:<\/strong>\u00a025844496 |\u00a0PMCID:<\/strong>\u00a0PMC4435975<\/li>\n
                      20. Crimmins, E. M.<\/strong>(2015). Physiological differences across populations reflecting early life and later life nutritional status and later life risk for chronic disease.\u00a0Journal of Population Ageing, 8<\/em>(1-2), 51-69.\u00a0https:\/\/doi.org\/10.1007\/s12062-014-9109-4<\/a>
                        PMID:<\/strong>\u00a025750688 |\u00a0PMCID:<\/strong>\u00a0PMC4346805<\/li>\n
                      21. Vedhara, K., Gill, S., Eldesouky, L., Campbell, B. K., Arevalo, J. M., Ma, J., & Cole, S. W.<\/strong>(2015). Personality and gene expression: Do individual differences exist in the leukocyte transcriptome?\u00a0Psychoneuroendocrinology, 52<\/em>, 72-82.\u00a0https:\/\/doi.org\/10.1016\/j.psyneuen.2014.10.028<\/a>
                        PMID:<\/strong>\u00a025459894 |\u00a0PMCID:<\/strong>\u00a0PMC4297539<\/li>\n
                      22. Ailshire, J. A., Beltr\u00e1n-S\u00e1nchez, H., & Crimmins, E. M.<\/strong>(2015). Becoming centenarians: Disease and functioning trajectories of older US adults as they survive to 100.\u00a0The Journals of Gerontology: Series A, Biological Sciences and Medical Sciences, 70<\/em>(2), 193-201.\u00a0https:\/\/doi.org\/10.1093\/gerona\/glu124<\/a>
                        PMID:<\/strong>\u00a025136001 |\u00a0PMCID:<\/strong>\u00a0PMC4311187<\/li>\n
                      23. Crimmins, E. M., & Vasunilashorn, S.<\/strong>(2015). Biodemography: Adding biological insight into social, economic, and psychological models of population and individual health change with age. In\u00a0Handbook of Aging and the Social Sciences<\/em>. U.S: Elsevier, Inc.<\/li>\n
                      24. Hu, P., Herningtyas, E. H., Kale, V., Crimmins, E. M., Risbud, A. R., McCreath, H., Lee, J., Strauss, J., O’Brien, J. C., Bloom, D. E., & Seeman, T. E.<\/strong>(2015). External quality control for dried blood spot-based C-reactive protein assay: Experience from the Indonesia Family Life Survey and the Longitudinal Aging Study in India.\u00a0Biodemography and Social Biology, 61<\/em>(1), 111-120.\u00a0https:\/\/doi.org\/10.1080\/19485565.2014.1001886<\/a>
                        PMID:<\/strong>\u00a025879265 |\u00a0PMCID:<\/strong>\u00a0PMC4410275<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

                        2014<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                          \n
                        1. Zissimopoulos, J., Crimmins, E., & St Clair, P.<\/strong>(2014). The value of delaying Alzheimer’s disease onset.\u00a0Forum for Health Economics & Policy, 18<\/em>(1), 25-39.
                          \n                          https:\/\/doi.org\/10.1515\/fhep-2014-0013<\/a>
                          PMID:<\/strong>\u00a027134606 |\u00a0PMCID:<\/strong>\u00a0PMC4851168<\/li>\n
                        2. Levine, M. E., & Crimmins, E. M.<\/strong>(2014). A comparison of methods for assessing mortality risk.\u00a0American Journal of Human Biology, 26<\/em>(6), 768-776.
                          \n                          https:\/\/doi.org\/10.1002\/ajhb.22595<\/a>
                          PMID:<\/strong>\u00a025088793 |\u00a0PMCID:<\/strong>\u00a0PMC4286244<\/li>\n
                        3. Levine, M. E., & Crimmins, E. M.<\/strong>(2014). Evidence of accelerated aging among African Americans and its implications for mortality.\u00a0Social Science & Medicine, 118<\/em>, 27-32.\u00a0https:\/\/doi.org\/10.1016\/j.socscimed.2014.07.022<\/a>
                          PMID:<\/strong>\u00a025086423 |\u00a0PMCID:<\/strong>\u00a0PMC4197001<\/li>\n
                        4. Miller, G. E., Murphy, M. L., Cashman, R., Ma, R., Ma, J., Arevalo, J. M., Kobor, M. S., & Cole, S. W.<\/strong>(2014). Greater inflammatory activity and blunted glucocorticoid signaling in monocytes of chronically stressed caregivers.\u00a0Brain, Behavior, and Immunity, 41<\/em>, 191-199.\u00a0https:\/\/doi.org\/10.1016\/j.bbi.2014.05.016<\/a>
                          PMID:<\/strong>\u00a025242587 |\u00a0PMCID:<\/strong>\u00a0PMC4973629<\/li>\n
                        5. Cole, S. W.<\/strong>(2014). Human social genomics.\u00a0PLoS Genetics, 10<\/em>(8), e1004601.
                          \n                          https:\/\/doi.org\/10.1371\/journal.pgen.1004601<\/a>
                          PMID:<\/strong>\u00a025166010 |\u00a0PMCID:<\/strong>\u00a0PMC4148225<\/li>\n
                        6. Ailshire, J. A., & Crimmins, E. M.<\/strong>(2014). Fine particulate matter air pollution and cognitive function among older US adults.\u00a0American Journal of Epidemiology, 180<\/em>(4), 359-366.\u00a0https:\/\/doi.org\/10.1093\/aje\/kwu155<\/a>
                          PMID:<\/strong>\u00a024966214 |\u00a0PMCID:<\/strong>\u00a0PMC4128773<\/li>\n
                        7. Needham, B. L., Carroll, J. E., Diez Roux, A. V., Fitzpatrick, A. L., Moore, K., & Seeman, T. E.<\/strong>(2014). Neighborhood characteristics and leukocyte telomere length: The Multi-Ethnic Study of Atherosclerosis.\u00a0Health & Place, 28<\/em>, 167-172.\u00a0https:\/\/doi.org\/10.1016\/j.healthplace.2014.04.009<\/a>
                          PMID:<\/strong>\u00a024859373 |\u00a0PMCID:<\/strong>\u00a0PMC4096814<\/li>\n
                        8. Sol\u00e9-Aur\u00f3, A., Beltr\u00e1n-S\u00e1nchez, H., & Crimmins, E. M.<\/strong>(2014). Are differences in disability-free life expectancy by gender, race, and education widening at older ages?\u00a0Population Research and Policy Review, 34<\/em>(1), 1-18.\u00a0https:\/\/doi.org\/10.1007\/s11113-014-9337-6<\/a>
                          PMID:<\/strong>\u00a029681672 |\u00a0PMCID:<\/strong>\u00a0PMC5906056<\/li>\n
                        9. Levine, M. E., Suarez, J. A., Brandhorst, S., Balasubramanian, P., Cheng, C. W., Madia, F., Fontana, L., Mirisola, M. G., Guevara-Aguirre, J., Wan, J., Passarino, G., Kennedy, B. K., Wei, M., Cohen, P., Crimmins, E. M., & Longo, V. D.<\/strong>(2014). Low protein intake is associated with a major reduction in IGF-1, cancer, and overall mortality in the 65 and younger but not older population.\u00a0Cell Metabolism, 19<\/em>(3), 407-417.\u00a0https:\/\/doi.org\/10.1016\/j.cmet.2014.02.006<\/a>
                          PMID:<\/strong>\u00a024606898 |\u00a0PMCID:<\/strong>\u00a0PMC3988204<\/li>\n
                        10. Chen, H., Wang, H., Crimmins, E. M., Chen, G., Huang, C., & Zheng, X.<\/strong>(2014). The contributions of diseases to disability burden among the elderly population in China.\u00a0Journal of Aging & Health, 26<\/em>(2), 261-282.\u00a0https:\/\/doi.org\/10.1177\/0898264313514442<\/a>
                          PMID:<\/strong>\u00a024368296 |\u00a0PMCID:<\/strong>\u00a0PMC5912917<\/li>\n
                        11. Sol\u00e9-Aur\u00f3, A., & Crimmins, E. M.<\/strong>(2014). Who cares? A comparison of informal and formal care provision in Spain, England, and the USA.\u00a0Ageing & Society, 34<\/em>(3), 495-517.\u00a0https:\/\/doi.org\/10.1017\/S0144686X12001134<\/a>
                          PMID:<\/strong>\u00a024550574 |\u00a0PMCID:<\/strong>\u00a0PMC3925449<\/li>\n
                        12. Levine, M. E., & Crimmins, E. M.<\/strong>(2014). Not all smokers die young: A model for hidden heterogeneity within the human population.\u00a0PLoS One, 9<\/em>(2), e87403.
                          \n                          https:\/\/doi.org\/10.1371\/journal.pone.0087403<\/a>
                          PMID:<\/strong>\u00a024520332 |\u00a0PMCID:<\/strong>\u00a0PMC3919713<\/li>\n
                        13. Crimmins, E., Kim, J. K., McCreath, H., Faul, J., Weir, D., & Seeman, T.<\/strong>(2014). Validation of blood-based assays using dried blood spots for use in large population studies.\u00a0Biodemography and Social Biology, 60<\/em>(1), 38-48.\u00a0https:\/\/doi.org\/10.1080\/19485565.2014.901885<\/a>
                          PMID:<\/strong>\u00a024784986 |\u00a0PMCID:<\/strong>\u00a0PMC4117354<\/li>\n
                        14. Levine, M. E., Crimmins, E. M., Prescott, C. A., Phillips, D., Arpawong, T. E., & Lee, J.<\/strong>(2014). A polygenic risk score associated with measures of depressive symptoms among older adults.\u00a0Biodemography and Social Biology, 60<\/em>(2), 199-211.\u00a0https:\/\/doi.org\/10.1080\/19485565.2014.952705<\/a>
                          PMID:<\/strong>\u00a025343367 |\u00a0PMCID:<\/strong>\u00a0PMC4298361<\/li>\n
                        15. Yon, Y., & Crimmins, E. M.<\/strong>(2014). Cohort morbidity hypothesis: Health inequalities of older M\u0101ori and non-M\u0101ori in New Zealand.\u00a0New Zealand Population Review, 40<\/em>, 63-83.
                          PMID:<\/strong>\u00a030636820 |\u00a0PMCID:<\/strong>\u00a0PMC6326584<\/li>\n
                        16. Crimmins, E. M.<\/strong>(2014). Integrating work from genetics and the social sciences: Part two.\u00a0Biodemography and Social Biology, 60<\/em>(2), 115-116.
                          \n                          https:\/\/doi.org\/10.1080\/19485565.2014.955078<\/a>
                          PMID:<\/strong>\u00a025343361 |\u00a0PMCID:<\/strong>\u00a0PMC6756793<\/li>\n
                        17. Levine, M. E., & Crimmins, E. M.<\/strong>(2014). Evidence of resiliency among long-lived smokers.\u00a0Vienna Yearbook of Population Research<\/em>.<\/li>\n
                        18. Saito, Y., Robine, J. M., & Crimmins, E. M.<\/strong>(2014). The methods and materials of health expectancy.\u00a0Statistical Journal of the IAOS, 30<\/em>(3), 209-223.
                          \n                          https:\/\/doi.org\/10.3233\/SJI-140840<\/a>
                          PMID:<\/strong>\u00a030319718 |\u00a0PMCID:<\/strong>\u00a0PMC6178833<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

                          2013<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                            \n
                          1. Powell, N. D., Sloan, E. K., Bailey, M. T., Arevalo, J. M., Miller, G. E., Chen, E., Kobor, M. S., Reader, B. F., Sheridan, J. F., & Cole, S. W.<\/strong>(2013). Social stress up-regulates inflammatory gene expression in the leukocyte transcriptome via \u03b2-adrenergic induction of myelopoiesis.\u00a0Proceedings of the National Academy of Sciences, 110<\/em>(41), 16574-16579.\u00a0https:\/\/doi.org\/10.1073\/pnas.1310655110<\/a>
                            PMID:<\/strong>\u00a024062448 |\u00a0PMCID:<\/strong>\u00a0PMC3799381<\/li>\n
                          2. Cole, S. W.<\/strong>(2013). Social regulation of human gene expression: Mechanisms and implications for public health.\u00a0American Journal of Public Health, 103<\/em>(Suppl 1), S84-S92.\u00a0https:\/\/doi.org\/10.2105\/AJPH.2012.301183<\/a>
                            PMID:<\/strong>\u00a023927506 |\u00a0PMCID:<\/strong>\u00a0PMC3786751<\/li>\n
                          3. Beltr\u00e1n-S\u00e1nchez, H., & Crimmins, E. M.<\/strong>(2013). Biological risk in the Mexican population at the turn of the 21st century.\u00a0Journal of Cross-Cultural Gerontology, 28<\/em>(3), 299-316.\u00a0https:\/\/doi.org\/10.1007\/s10823-013-9199-0<\/a>
                            PMID:<\/strong>\u00a023812952 |\u00a0PMCID:<\/strong>\u00a0PMC3770809<\/li>\n
                          4. Beltr\u00e1n-S\u00e1nchez, H., Thomas, D., Teruel, G., Wheaton, F., & Crimmins, E. M.<\/strong>(2013). Links between socio-economic circumstances and changes in smoking behavior in the Mexican population: 2002-2010.\u00a0Journal of Cross-Cultural Gerontology, 28<\/em>(3), 339-358.\u00a0https:\/\/doi.org\/10.1007\/s10823-013-9203-8<\/a>
                            PMID:<\/strong>\u00a023888371 |\u00a0PMCID:<\/strong>\u00a0PMC3777536<\/li>\n
                          5. Fredrickson, B. L., Grewen, K. M., Coffey, K. A., Algoe, S. B., Firestine, A. M., Arevalo, J. M., Ma, J., & Cole, S. W.<\/strong>(2013). A functional genomic perspective on human well-being.\u00a0Proceedings of the National Academy of Sciences, 110<\/em>(33), 13684-13689.\u00a0https:\/\/doi.org\/10.1073\/pnas.1305419110<\/a>
                            PMID:<\/strong>\u00a023898182 |\u00a0PMCID:<\/strong>\u00a0PMC3746929<\/li>\n
                          6. Slavich, G. M., & Cole, S. W.<\/strong>(2013). The emerging field of human social genomics.\u00a0Clinical Psychological Science, 1<\/em>(3), 331-348.
                            \n                            https:\/\/doi.org\/10.1177\/2167702613478594<\/a>
                            PMID:<\/strong>\u00a023853742 |\u00a0PMCID:<\/strong>\u00a0PMC3707393<\/li>\n
                          7. Levine, M. E., Kim, J. K., & Crimmins, E. M.<\/strong>(2013). The role of physiological markers of health in the association between demographic factors and periodontal disease.\u00a0Journal of Periodontal Research, 48<\/em>(3), 367-372.\u00a0https:\/\/doi.org\/10.1111\/jre.12016<\/a>
                            PMID:<\/strong>\u00a023231345 |\u00a0PMCID:<\/strong>\u00a0PMC3609891<\/li>\n
                          8. Kim, J. K., Baker, L. A., Davarian, S., & Crimmins, E.<\/strong>(2013). Oral health problems and mortality.\u00a0Journal of Dental Sciences, 8<\/em>(2).
                            \n                            https:\/\/doi.org\/10.1016\/j.jds.2012.12.011<\/a>
                            PMID:<\/strong>\u00a024416472 |\u00a0PMCID:<\/strong>\u00a0PMC3885153<\/li>\n
                          9. Vasunilashorn, S., Kim, J. K., & Crimmins, E. M.<\/strong>(2013). International differences in the links between obesity and physiological dysregulation: The United States, England, and Taiwan.\u00a0Journal of Obesity, 2013<\/em>, 618056.\u00a0https:\/\/doi.org\/10.1155\/2013\/618056<\/a>
                            PMID:<\/strong>\u00a023781331 |\u00a0PMCID:<\/strong>\u00a0PMC3679767<\/li>\n
                          10. Davarian, S., Crimmins, E., Takahashi, A., & Saito, Y.<\/strong>(2013). Sociodemographic correlates of four indices of blood pressure and hypertension among older persons in Japan.\u00a0Gerontology, 59<\/em>(5), 392-400.\u00a0https:\/\/doi.org\/10.1159\/000350531<\/a>
                            PMID:<\/strong>\u00a023689609 |\u00a0PMCID:<\/strong>\u00a0PMC3844551<\/li>\n
                          11. Wheaton, F. V., & Crimmins, E. M.<\/strong>(2013). In hindsight: Urban exposure explains the association between prior migration and current health of older adults in Mexico.\u00a0Journal of Aging and Health, 25<\/em>(3), 422-438.\u00a0https:\/\/doi.org\/10.1177\/0898264312472537<\/a>
                            PMID:<\/strong>\u00a023349513 |\u00a0PMCID:<\/strong>\u00a0PMC3868342<\/li>\n
                          12. Freedman, V. A., Spillman, B. C., Andreski, P. M., Cornman, J. C., Crimmins, E. M., Kramarow, E., Lubitz, J., Martin, L. G., Merkin, S. S., Schoeni, R. F., Seeman, T. E., & Waidmann, T. A.<\/strong>(2013). Trends in late-life activity limitations in the United States: An update from five national surveys.\u00a0Demography, 50<\/em>(2), 661-671.\u00a0https:\/\/doi.org\/10.1007\/s13524-012-0167-z<\/a>
                            PMID:<\/strong>\u00a023104207 |\u00a0PMCID:<\/strong>\u00a0PMC3586750<\/li>\n
                          13. Donoho, C. J., Crimmins, E. M., & Seeman, T. E.<\/strong>(2013). Marital quality, gender, and markers of inflammation in the MIDUS cohort.\u00a0Journal of Marriage and Family, 75<\/em>(1), 127-141.\u00a0https:\/\/doi.org\/10.1111\/j.1741-3737.2012.01023.x<\/a>
                            PMID:<\/strong>\u00a024700968 |\u00a0PMCID:<\/strong>\u00a0PMC3971932<\/li>\n
                          14. Carroll, J. E., Diez Roux, A. V., Fitzpatrick, A. L., & Seeman, T.<\/strong>(2013). Low social support is associated with shorter leukocyte telomere length in late life: Multi-ethnic study of atherosclerosis.\u00a0Psychosomatic Medicine, 75<\/em>(2), 171-177.\u00a0https:\/\/doi.org\/10.1097\/PSY.0b013e31828233bf<\/a>
                            PMID:<\/strong>\u00a023370895 |\u00a0PMCID:<\/strong>\u00a0PMC3881963<\/li>\n
                          15. Sol\u00e9-Aur\u00f3, A., & Crimmins, E. M.<\/strong>(2013). The oldest-old: Health in Europe and the United States.\u00a0Annual Review of Gerontology and Geriatrics.<\/em><\/li>\n
                          16. Crimmins, E. M., & Sol\u00e9-Aur\u00f3, A.<\/strong>(2013). Life expectancy, health, and functioning among the 85+ in Europe and the United States.\u00a0Public Policy & Aging Report, 23<\/em>(2), 3-9.<\/li>\n
                          17. Crimmins, E. M.<\/strong>(2013). A global perspective on physiological change with age. In S. A. McDaniel & Z. Zimmer (Eds.),\u00a0Global Ageing in the Twenty-First Century.<\/em>\u00a0England: Ashgate Publishing Ltd.<\/li>\n
                          18. Ailshire, J., & Crimmins, E.<\/strong>(2013). Physical and biological indicators of health and functioning in U.S. oldest-old.\u00a0Annual Review of Gerontology and Geriatrics.<\/em><\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

                            2012<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                              \n
                            1. Sol\u00e9-Aur\u00f3, A., Guill\u00e9n, M., & Crimmins, E. M.<\/strong>(2012). Health care usage among immigrants and native-born elderly populations in eleven European countries: Results from SHARE.\u00a0The European Journal of Health Economics, 13<\/em>(6), 741-754.\u00a0https:\/\/doi.org\/10.1007\/s10198-011-0327-x<\/a>
                              PMID:<\/strong>\u00a021660564 |\u00a0PMCID:<\/strong>\u00a0PMC3591521<\/li>\n
                            2. Hwang, A. E., Hamilton, A. S., Cockburn, M. G., Ambinder, R., Zadnick, J., Brown, E. E., Mack, T. M., & Cozen, W.<\/strong>(2012). Evidence of genetic susceptibility to infectious mononucleosis: A twin study.\u00a0Epidemiology & Infection, 140<\/em>(11), 2089-2095.\u00a0https:\/\/doi.org\/10.1017\/S0950268811002457<\/a>
                              PMID:<\/strong>\u00a022152594 |\u00a0PMCID:<\/strong>\u00a0PMC3845900<\/li>\n
                            3. Costa, D. L.<\/strong>(2012). Scarring and mortality selection among Civil War POWs: A long-term mortality, morbidity, and socioeconomic follow-up.\u00a0Demography, 49<\/em>(4), 1185-1206.
                              \n                              https:\/\/doi.org\/10.1007\/s13524-012-0125-9<\/a>
                              PMID:<\/strong>\u00a022968939 |\u00a0PMCID:<\/strong>\u00a0PMC3496009<\/li>\n
                            4. Levine, M. E., & Crimmins, E. M.<\/strong>(2012). The impact of insulin resistance and inflammation on the association between sarcopenic obesity and physical functioning.\u00a0Obesity (Silver Spring), 20<\/em>(10), 2101-2106.\u00a0https:\/\/doi.org\/10.1038\/oby.2012.20<\/a>
                              PMID:<\/strong>\u00a022310233 |\u00a0PMCID:<\/strong>\u00a0PMC3527629<\/li>\n
                            5. Beltr\u00e1n-S\u00e1nchez, H., Crimmins, E., & Finch, C.<\/strong>(2012). Early cohort mortality predicts the rate of aging in the cohort: A historical analysis.\u00a0Journal of Developmental Origins of Health and Disease, 3<\/em>(5), 380-386.\u00a0https:\/\/doi.org\/10.1017\/S2040174412000281<\/a>
                              PMID:<\/strong>\u00a023626899 |\u00a0PMCID:<\/strong>\u00a0PMC3635829<\/li>\n
                            6. Ailshire, J. A., & Burgard, S. A.<\/strong>(2012). Family relationships and troubled sleep among U.S. adults: Examining the influences of contact frequency and relationship quality.\u00a0Journal of Health and Social Behavior, 53<\/em>(2), 248-262.\u00a0https:\/\/doi.org\/10.1177\/0022146512446642<\/a>
                              PMID:<\/strong>\u00a022653715 |\u00a0PMCID:<\/strong>\u00a0PMC3674886<\/li>\n
                            7. Levine, M. E., & Crimmins, E. M.<\/strong>(2012). Sarcopenic obesity and cognitive functioning: The mediating roles of insulin resistance and inflammation?\u00a0Current Gerontology and Geriatrics Research, 2012<\/em>, 826398.\u00a0https:\/\/doi.org\/10.1155\/2012\/826398<\/a>
                              PMID:<\/strong>\u00a022611388 |\u00a0PMCID:<\/strong>\u00a0PMC3352243<\/li>\n
                            8. Crimmins, E. M., & Finch, C. E.<\/strong>(2012). The genetics of age-related health outcomes.\u00a0The Journals of Gerontology: Series A, Biological Sciences and Medical Sciences, 67<\/em>(5), 467-469.\u00a0https:\/\/doi.org\/10.1093\/gerona\/gls101<\/a>
                              PMID:<\/strong>\u00a022454370 |\u00a0PMCID:<\/strong>\u00a0PMC3326245<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

                              2011<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                                \n
                              1. Ailshire, J. A., Beltr\u00e1n-S\u00e1nchez, H., & Crimmins, E. M.<\/strong>(2011). Social characteristics and health status of exceptionally long-lived Americans in the Health and Retirement Study.\u00a0Journal of the American Geriatrics Society, 59<\/em>(12), 2241-2248.\u00a0https:\/\/doi.org\/10.1111\/j.1532-5415.2011.03723.x<\/a>
                                PMID:<\/strong>\u00a022188072 |\u00a0PMCID:<\/strong>\u00a0PMC3470876<\/li>\n
                              2. Ailshire, J. A., & Crimmins, E. M.<\/strong>(2011). Psychosocial factors associated with longevity in the United States: Age differences between the old and oldest-old in the Health and Retirement Study.\u00a0Journal of Aging Research, 2011<\/em>, 530534.\u00a0https:\/\/doi.org\/10.4061\/2011\/530534<\/a>
                                PMID:<\/strong>\u00a022028969 |\u00a0PMCID:<\/strong>\u00a0PMC3199053<\/li>\n
                              3. Beltr\u00e1n-S\u00e1nchez, H., Crimmins, E. M., Teruel, G. M., & Thomas, D.<\/strong>(2011). Links between childhood and adult social circumstances and obesity and hypertension in the Mexican population.\u00a0Journal of Aging and Health, 23<\/em>(7), 1141-1165.\u00a0https:\/\/doi.org\/10.1177\/0898264311422255<\/a>
                                PMID:<\/strong>\u00a021948773 |\u00a0PMCID:<\/strong>\u00a0PMC3187563<\/li>\n
                              4. Canon, M. E., & Crimmins, E. M.<\/strong>(2011). Sex differences in the association between muscle quality, inflammatory markers, and cognitive decline.\u00a0The Journal of Nutrition, Health & Aging, 15<\/em>(8), 695-698.\u00a0https:\/\/doi.org\/10.1007\/s12603-011-0340-x<\/a>
                                PMID:<\/strong>\u00a021968867 |\u00a0PMCID:<\/strong>\u00a0PMC4315164<\/li>\n
                              5. Crimmins, E. M., Kim, J. K., Langa, K. M., & Weir, D. R.<\/strong>(2011). Assessment of cognition using surveys and neuropsychological assessment: The Health and Retirement Study and the Aging, Demographics, and Memory Study.\u00a0The Journals of Gerontology: Series B, Psychological Sciences and Social Sciences, 66<\/em>(Suppl 1), i162-i171.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbr048<\/a>
                                PMID:<\/strong>\u00a021743047 |\u00a0PMCID:<\/strong>\u00a0PMC3165454<\/li>\n
                              6. Crimmins, E. M., Kim, J. K., & Sol\u00e9-Aur\u00f3, A.<\/strong>(2011). Gender differences in health: Results from SHARE, ELSA, and HRS.\u00a0The European Journal of Public Health, 21<\/em>(1), 81-91.\u00a0https:\/\/doi.org\/10.1093\/eurpub\/ckq022<\/a>
                                PMID:<\/strong>\u00a020237171 |\u00a0PMCID:<\/strong>\u00a0PMC3023013<\/li>\n
                              7. Crimmins, E. M., & Beltr\u00e1n-S\u00e1nchez, H.<\/strong>(2011). Mortality and morbidity trends: Is there compression of morbidity?\u00a0The Journals of Gerontology: Series B, Psychological Sciences and Social Sciences, 66<\/em>(1), 75-86.\u00a0https:\/\/doi.org\/10.1093\/geronb\/gbq088<\/a>
                                PMID:<\/strong>\u00a021135070 |\u00a0PMCID:<\/strong>\u00a0PMC3001754<\/li>\n
                              8. Goldman, N., Turra, C. M., Rosero-Bixby, L., Weir, D., & Crimmins, E.<\/strong>(2011). Do biological measures mediate the relationship between education and health? A comparative study.\u00a0Social Science & Medicine, 72<\/em>(2), 307-315.\u00a0https:\/\/doi.org\/10.1016\/j.socscimed.2010.11.004<\/a>
                                PMID:<\/strong>\u00a021159415 |\u00a0PMCID:<\/strong>\u00a0PMC3039215<\/li>\n
                              9. Crimmins, E. M., & Vasunilashorn, S.<\/strong>(2011). Links between biomarkers and mortality. In R. Rogers & E. Crimmins (Eds.),\u00a0International Handbook of Adult Mortality<\/em>\u00a0(pp. 381-398). Springer.<\/li>\n
                              10. Vasunilashorn, S., Finch, C. E., Crimmins, E. M., Vikman, S. A., Stieglitz, J., Gurven, M., Kaplan, H., & Allayee, H.<\/strong>(2011). Inflammatory gene variants in the Tsimane, an indigenous Bolivian population with a high infectious load.\u00a0Biodemography and Social Biology, 57<\/em>(1), 33-52.\u00a0https:\/\/doi.org\/10.1080\/19485565.2011.564475<\/a>
                                PMID:<\/strong>\u00a021845926 |\u00a0PMCID:<\/strong>\u00a0PMC3529658<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

                                2010<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                                  \n
                                1. Reynolds, S. L., & Crimmins, E. M.<\/strong>(2010). Trends in the ability to work among men and women in the older American population: 1997-2007.\u00a0European Journal of Ageing, 7<\/em>(4), 249-256.\u00a0https:\/\/doi.org\/10.1007\/s10433-010-0166-0<\/a>
                                  PMID:<\/strong>\u00a023585761 |\u00a0PMCID:<\/strong>\u00a0PMC3622265<\/li>\n
                                2. Vasunilashorn, S., Crimmins, E. M., Kim, J. K., Winking, J., Gurven, M., Kaplan, H., & Finch, C. E.<\/strong>(2010). Blood lipids, infection, and inflammatory markers in the Tsimane of Bolivia.\u00a0American Journal of Human Biology, 22<\/em>(6), 731-740.\u00a0https:\/\/doi.org\/10.1002\/ajhb.21074<\/a>
                                  PMID:<\/strong>\u00a020721985 |\u00a0PMCID:<\/strong>\u00a0PMC3537506<\/li>\n
                                3. Karlamangla, A. S., Merkin, S. S., Crimmins, E. M., & Seeman, T. E.<\/strong>(2010). Socioeconomic and ethnic disparities in cardiovascular risk in the United States, 2001-2006.\u00a0Annals of Epidemiology, 20<\/em>(8), 617-628.\u00a0https:\/\/doi.org\/10.1016\/j.annepidem.2010.05.003<\/a>
                                  PMID:<\/strong>\u00a020609342 |\u00a0PMCID:<\/strong>\u00a0PMC2901883<\/li>\n
                                4. Oksuzyan, A., Crimmins, E., Saito, Y., O’Rand, A., Vaupel, J. W., & Christensen, K.<\/strong>(2010). Cross-national comparison of sex differences in health and mortality in Denmark, Japan, and the US.\u00a0European Journal of Epidemiology, 25<\/em>(7), 471-480.\u00a0https:\/\/doi.org\/10.1007\/s10654-010-9460-6<\/a>
                                  PMID:<\/strong>\u00a020495953 |\u00a0PMCID:<\/strong>\u00a0PMC2903692<\/li>\n
                                5. Cai, L., Hayward, M. D., Saito, Y., Lubitz, J., Hagedorn, A., & Crimmins, E.<\/strong>(2010). Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program.\u00a0Demographic Research, 22<\/em>(6), 129-158.\u00a0https:\/\/doi.org\/10.4054\/DemRes.2010.22.6<\/a>
                                  PMID:<\/strong>\u00a020463842 |\u00a0PMCID:<\/strong>\u00a0PMC2867357<\/li>\n
                                6. Crimmins, E. M., & Hagedorn, A.<\/strong>(2010). Socioeconomic gradient in healthy life expectancy.\u00a0Annual Review of Gerontology and Geriatrics.<\/em><\/li>\n
                                7. Crimmins, E., Kim, J. K., & Vasunilashorn, S.<\/strong>(2010). Biodemography: New approaches to understanding trends and differences in population health and mortality.\u00a0Demography, 47<\/em>(Suppl 1), S41-S64.\u00a0https:\/\/doi.org\/10.1353\/dem.2010.0005<\/a>
                                  PMID:<\/strong>\u00a021302421 |\u00a0PMCID:<\/strong>\u00a0PMC5870619<\/li>\n
                                8. Reynolds, S. L., & Crimmins, E. M.<\/strong>(2010). Tendences de l\u2019incapacit\u00e9 dans des activit\u00e9s de la vie quotidienne: \u00c9tude chez les Am\u00e9ricains de 50 \u00e0 69 ans (Trends in disability among Americans in their 50s and 60s: 1997-2006).\u00a0Retraite & Society, 59.<\/em><\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” centered_text=”true” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” sticky_content=”true” sticky_content_functionality=”js” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

                                  2009 and earlier<\/h3>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
                                    \n
                                  1. Buxton, O. M., Malarick, K., Wang, W., & Seeman, T.<\/strong>(2009). Changes in dried blood spot Hb A1c with varied postcollection conditions.\u00a0Clinical Chemistry, 55<\/em>(5), 1034-1036.\u00a0https:\/\/doi.org\/10.1373\/clinchem.2008.111641<\/a>
                                    PMID:<\/strong>\u00a019299546 |\u00a0PMCID:<\/strong>\u00a0PMC2925185<\/li>\n
                                  2. Merkin, S. S., Karlamangla, A., Crimmins, E., Charette, S. L., Hayward, M., Kim, J. K., Koretz, B., & Seeman, T.<\/strong>(2009). Education differentials by race and ethnicity in the diagnosis and management of hypercholesterolemia: A national sample of U.S. adults (NHANES 1999-2002).International Journal of Public Health, 54<\/em>(3), 166-174.\u00a0https:\/\/doi.org\/10.1007\/s00038-008-7030-4<\/a>
                                    PMID:<\/strong>\u00a019219403 |\u00a0PMCID:<\/strong>\u00a0PMC2732346<\/li>\n
                                  3. Yeom, J., Kim, J. K., & Crimmins, E. M.<\/strong>(2009). Factors associated with body mass index (BMI) among older adults: A comparison study of the U.S., Japan, and Korea.\u00a0Hanguk Nonyonhak, 29<\/em>(4), 1479-1500.
                                    PMID:<\/strong>\u00a025285028 |\u00a0PMCID:<\/strong>\u00a0PMC4184278<\/li>\n
                                  4. Reynolds, S. L., Hagedorn, A., Yeom, J., Saito, Y., Yokoyama, E., & Crimmins, E. M.<\/strong>(2008). A tale of two countries\u2014the United States and Japan: Are differences in health due to differences in overweight?\u00a0Journal of Epidemiology, 18<\/em>(6), 280-290.\u00a0https:\/\/doi.org\/10.2188\/jea.je2008012<\/a>
                                    PMID:<\/strong>\u00a019057112 |\u00a0PMCID:<\/strong>\u00a0PMC3013295<\/li>\n
                                  5. Crimmins, E. M., Vasunilashorn, S., Kim, J. K., Hagedorn, A., & Saito, Y.<\/strong>(2008). A comparison of biological risk factors in two populations: The United States and Japan.\u00a0Population and Development Review, 34<\/em>(3), 457-482.\u00a0https:\/\/doi.org\/10.1111\/j.1728-4457.2008.00232.x<\/a>
                                    PMID:<\/strong>\u00a019421428 |\u00a0PMCID:<\/strong>\u00a0PMC2676846<\/li>\n
                                  6. Li\u00e8vre, A., Alley, D., & Crimmins, E. M.<\/strong>(2008). Educational differentials in life expectancy with cognitive impairment among the elderly in the United States.\u00a0Journal of Aging and Health, 20<\/em>(4), 456-477.\u00a0https:\/\/doi.org\/10.1177\/0898264308315857<\/a>
                                    PMID:<\/strong>\u00a018448687 |\u00a0PMCID:<\/strong>\u00a0PMC2966893<\/li>\n
                                  7. Gurven, M., Kaplan, H., Winking, J., Finch, C., & Crimmins, E. M.<\/strong>(2008). Aging and inflammation in two epidemiological worlds.\u00a0Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 63<\/em>(2), 196-199.\u00a0https:\/\/doi.org\/10.1093\/gerona\/63.2.196<\/a>
                                    PMID:<\/strong>\u00a018314457 |\u00a0PMCID:<\/strong>\u00a0PMC2952348<\/li>\n
                                  8. Seeman, T., Merkin, S. S., Crimmins, E., Koretz, B., Charette, S., & Karlamangla, A.<\/strong>(2008). Education, income, and ethnic differences in cumulative biological risk profiles in a national sample of US adults: NHANES III (1988-1994).\u00a0Social Science & Medicine, 66<\/em>(1), 72-87.\u00a0https:\/\/doi.org\/10.1016\/j.socscimed.2007.08.027<\/a>
                                    PMID:<\/strong>\u00a017920177 |\u00a0PMCID:<\/strong>\u00a0PMC2180425<\/li>\n
                                  9. Alley, D. E., Crimmins, E. M., Karlamangla, A., Hu, P., & Seeman, T. E.<\/strong>(2008). Inflammation and rate of cognitive change in high-functioning older adults.\u00a0The Journals of Gerontology: Series A, 63<\/em>(1), 50-55.\u00a0https:\/\/doi.org\/10.1093\/gerona\/63.1.50<\/a>
                                    PMID:<\/strong>\u00a018245760 |\u00a0PMCID:<\/strong>\u00a0PMC2952346<\/li>\n
                                  10. Crimmins, E. M., Hayward, M. D., Ueda, H., Saito, Y., & Kim, J. K.<\/strong>(2008). Life with and without heart disease among women and men over 50.\u00a0Journal of Women & Aging, 20<\/em>(1-2), 5-19.\u00a0https:\/\/doi.org\/10.1300\/j074v20n01_02<\/a>
                                    PMID:<\/strong>\u00a018581697 |\u00a0PMCID:<\/strong>\u00a0PMC2994551<\/li>\n
                                  11. Sol\u00e9-Aur\u00f3, A., & Crimmins, E. M.<\/strong>(2008). Health of immigrants in European countries.\u00a0International Migration Review, 42<\/em>(4), 861-876.
                                    \n                                    https:\/\/doi.org\/10.1111\/j.1747-7379.2008.00150.x<\/a>
                                    PMID:<\/strong>\u00a021048888 |\u00a0PMCID:<\/strong>\u00a0PMC2967040<\/li>\n
                                  12. Kim, J. K., Alley, D., Hu, P., Karlamangla, A., Seeman, T., & Crimmins, E. M.<\/strong>(2007). Changes in postmenopausal hormone therapy use since 1988.\u00a0Women\u2019s Health Issues, 17<\/em>(6), 338-341.\u00a0https:\/\/doi.org\/10.1016\/j.whi.2007.05.001<\/a>
                                    PMID:<\/strong>\u00a017936641 |\u00a0PMCID:<\/strong>\u00a0PMC2180400<\/li>\n
                                  13. Alley, D., Suthers, K., & Crimmins, E.<\/strong>(2007). Education and cognitive decline in older Americans: Results from the AHEAD sample.\u00a0Research on Aging, 29<\/em>(1), 73-94.\u00a0https:\/\/doi.org\/10.1177\/0164027506294245<\/a>
                                    PMID:<\/strong>\u00a019830260 |\u00a0PMCID:<\/strong>\u00a0PMC2760835<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

                                    [vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default”…<\/p>\n","protected":false},"author":17,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1985","page","type-page","status-publish"],"yoast_head":"\nPublications linked to Center Funding - USC|UCLA Center on Biodemography and Population Health<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/gero.usc.edu\/cbph\/publications-from-the-center\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publications linked to Center Funding - USC|UCLA Center on Biodemography and Population Health\" \/>\n<meta property=\"og:description\" content=\"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default”...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/gero.usc.edu\/cbph\/publications-from-the-center\/\" \/>\n<meta property=\"og:site_name\" content=\"USC|UCLA Center on Biodemography and Population Health\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-23T21:46:32+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"69 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/gero.usc.edu\\\/cbph\\\/publications-from-the-center\\\/\",\"url\":\"https:\\\/\\\/gero.usc.edu\\\/cbph\\\/publications-from-the-center\\\/\",\"name\":\"Publications linked to Center Funding - USC|UCLA Center on Biodemography and Population Health\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/gero.usc.edu\\\/cbph\\\/#website\"},\"datePublished\":\"2025-03-05T23:17:47+00:00\",\"dateModified\":\"2026-01-23T21:46:32+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/gero.usc.edu\\\/cbph\\\/publications-from-the-center\\\/#breadcrumb\"},\"inLanguage\":\"en\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/gero.usc.edu\\\/cbph\\\/publications-from-the-center\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/gero.usc.edu\\\/cbph\\\/publications-from-the-center\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/gero.usc.edu\\\/cbph\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Publications linked to Center Funding\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/gero.usc.edu\\\/cbph\\\/#website\",\"url\":\"https:\\\/\\\/gero.usc.edu\\\/cbph\\\/\",\"name\":\"USC|UCLA Center on Biodemography and Population Health\",\"description\":\"A synergistic research environment devoted to understanding population health\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/gero.usc.edu\\\/cbph\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Publications linked to Center Funding - USC|UCLA Center on Biodemography and Population Health","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/gero.usc.edu\/cbph\/publications-from-the-center\/","og_locale":"en_US","og_type":"article","og_title":"Publications linked to Center Funding - USC|UCLA Center on Biodemography and Population Health","og_description":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default”...","og_url":"https:\/\/gero.usc.edu\/cbph\/publications-from-the-center\/","og_site_name":"USC|UCLA Center on Biodemography and Population Health","article_modified_time":"2026-01-23T21:46:32+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"69 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/gero.usc.edu\/cbph\/publications-from-the-center\/","url":"https:\/\/gero.usc.edu\/cbph\/publications-from-the-center\/","name":"Publications linked to Center Funding - USC|UCLA Center on Biodemography and Population Health","isPartOf":{"@id":"https:\/\/gero.usc.edu\/cbph\/#website"},"datePublished":"2025-03-05T23:17:47+00:00","dateModified":"2026-01-23T21:46:32+00:00","breadcrumb":{"@id":"https:\/\/gero.usc.edu\/cbph\/publications-from-the-center\/#breadcrumb"},"inLanguage":"en","potentialAction":[{"@type":"ReadAction","target":["https:\/\/gero.usc.edu\/cbph\/publications-from-the-center\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/gero.usc.edu\/cbph\/publications-from-the-center\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/gero.usc.edu\/cbph\/"},{"@type":"ListItem","position":2,"name":"Publications linked to Center Funding"}]},{"@type":"WebSite","@id":"https:\/\/gero.usc.edu\/cbph\/#website","url":"https:\/\/gero.usc.edu\/cbph\/","name":"USC|UCLA Center on Biodemography and Population Health","description":"A synergistic research environment devoted to understanding population health","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/gero.usc.edu\/cbph\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en"}]}},"_links":{"self":[{"href":"https:\/\/gero.usc.edu\/cbph\/wp-json\/wp\/v2\/pages\/1985","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gero.usc.edu\/cbph\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gero.usc.edu\/cbph\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gero.usc.edu\/cbph\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/gero.usc.edu\/cbph\/wp-json\/wp\/v2\/comments?post=1985"}],"version-history":[{"count":26,"href":"https:\/\/gero.usc.edu\/cbph\/wp-json\/wp\/v2\/pages\/1985\/revisions"}],"predecessor-version":[{"id":2445,"href":"https:\/\/gero.usc.edu\/cbph\/wp-json\/wp\/v2\/pages\/1985\/revisions\/2445"}],"wp:attachment":[{"href":"https:\/\/gero.usc.edu\/cbph\/wp-json\/wp\/v2\/media?parent=1985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}