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Analyses of DNAm

  1. Meier HCS, Klopack ET, Farnia MP, Hernandez B, Mitchell C, Faul JD, McCrory C, Kenny RA, Crimmins EM. A novel DNA methylation-based surrogate biomarker for chronic systemic inflammation (InfLaMeS): results from the Health and Retirement Study. medRxiv [Preprint]. 2024 Oct 15:2024.10.11.24315339. doi: 10.1101/2024.10.11.24315339. PMID: 39484273; PMCID: PMC11527057.
  2. Choi EY, Ailshire JA. Neighborhood Stressors and Epigenetic Age Acceleration Among Older Americans. J Gerontol B Psychol Sci Soc Sci. 2024 Dec 1;79(12):gbae176. doi: 10.1093/geronb/gbae176. PMID: 39432567; PMCID: PMC11582398
  3. Mateo P. Farina, Eric Klopack, Deborah Umberson, Eileen Crimmins. “The embodiment of parental death in early life through accelerated epigenetic aging: implications for understanding how parental death in early life shapes age-related health risk among older adults.” 2024. Social Science and Medicine Population Health. 26:101648. doi: 10.1016/j.ssmph.2024.101648. eCollection 2024 Jun. PMID: 38596364. PMCID:PMC11002886
  4. Crimmins EM, Klopack ET, Kim JK. Generations of epigenetic clocks and their links to socioeconomic status in the Health and Retirement Study. Epigenomics.2024;16(14):1031-1042. doi: 10.1080/17501911.2024.2373682. Epub 2024 Jul 18. PubMed PMID: 39023350; PubMed Central PMCID: PMC11404624.
  5. Klopack E, Crimmins E. Epigenetic aging helps explain differential resilience in older adults. Demography. 2024;61(4):1023-1041. doi: 10.1215/00703370-11466635. PubMed PMID: 39012228; PMCID: PMC11485224
  6. Brown RL, Alegria KE, Hamlat E, Tomiyama AJ, Laraia B, Crimmins EM, Moffitt TE, Epel ES. Psychosocial disadvantage during childhood and midlife health. JAMA Netw Open. 2024;7(7). doi: 10.1001/jamanetworkopen.2024.21841. PubMed PMID: 39073819; PubMed Central PMCID: PMC11287423.
  7. Andrasfay T, Crimmins EM. Occupational characteristics and epigenetic aging among older adults in the United States. J Gerontol A Biol Sci Med Sci. 2023;78(11):2094-2104. doi: 10.1093/gerona/glad204. PubMed PMID: 37611145; PubMed Central PMCID: PMC10259313.
  8. Arpawong TE, Klopack ET, Kim JK, Crimmins EM. ADHD genetic burden associates with older epigenetic age: Mediating roles of education, behavioral, and sociodemographic factors among older adults. Clin Epigenetics. 2023;15:67. doi: 10.1186/s13148-023- 01367-4. PubMed Central PMCID: PMC10131361.
  9. Klopack ET, Carroll JE, Cole SW, Seeman TE, Crimmins EM. Lifetime exposure to smoking, epigenetic aging, and morbidity and mortality in older adults. Clin Epigenetics. 2022;14:72. doi: 10.1186/s13148-022-01286-8. PubMed Central PMCID: PMC9148451.
  10. Klopack ET, Crimmins EM, Cole SW, Seeman TE, Carroll JE. Accelerated epigenetic aging mediates link between adverse childhood experiences and depressive symptoms in older adults: Results from the Health and Retirement Study. Soc Sci Med Popul Health. 2022;17:101071. doi: 10.1016/j.ssmph.2022.101071. PubMed PMID: 35313610; PubMed Central PMCID: PMC8933834.
  11. Crimmins EM, Thyagarajan B, Levine ME, Weir DR, Faul J. Associations of age, sex, race/ethnicity, and education with 13 epigenetic clocks in a nationally representative US sample: The Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2021;76(6):1117-1123. doi: 10.1093/gerona/glab016. PubMed PMID: 33453106; PubMed Central PMCID: PMC8140049.
  12. Faul JD, Kim JK, Levine ME, Thyagarajan B, Weir DR, Crimmins EM. Epigenetic-based age acceleration in a representative sample of older Americans: Associations with aging- related morbidity and mortality. Proc Natl Acad Sci U S A. 2023;120(8). doi: 10.1073/pnas.2301643119. PubMed Central PMCID: PMC9992763.
  13. Sugden K, Moffitt TE, Arpawong TE, Arseneault L, Belsky DW, Corcoran DL, Crimmins EM, Hannon E, Houts R, Mill JS, Poulton R, Ramrakha S, Wertz J, Williams BS, Caspi A. Cross-national and cross-generational evidence that educational attainment may slow the pace of aging in European-descent individuals. J Gerontol B Psychol Sci Soc Sci. 2023;gbad056. doi: 10.1093/geronb/gbad056. PubMed Central PMCID: PMC10394986.
  14. Cappozzo A, McCrory C, Robinson O, Sterrantino AF, Sacerdote C, Krogh V, Panico S, Tumino R, Iacoviello L, Ricceri F, Sieri S, Chiodini P, McKay GJ, McKnight AJ, Neville C, Crimmins EM, Arpawong TE, Kenny RA, O’Halloran A, Polidoro S, Solinas G, Vineis P, Fiorito G. A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events. Clin Epigenetics. 2022;14:121. doi: 10.1186/s13148-022-01341-4. PubMed PMID: 36175966; PubMed Central PMCID: PMC9521011.
  15. 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. Brain Behav Immun. 2023;114:349-359. doi: 10.1016/j.bbi.2023.09.001. PubMed PMID: 37683960; PubMed Central PMCID: PMC10650967.
  16. Kusters CDJ, Klopack ET, Crimmins EM, Seeman TE, Cole SW, Carroll JE. Short sleep and insomnia are associated with accelerated epigenetic age. Psychosom Med. 2023;85(8):782-789. doi: 10.1097/PSY.0000000000001243. PubMed PMID: 37594243; PubMed Central PMCID: PMC10879461.
  17. Kim JK, Arpawong TE, Klopack ET, Crimmins EM. 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. J Popul Ageing. 2024 Jun;17(2):297-313. doi: 10.1007/s12062-023-09434-5. Epub 2023 Oct 31. PMID: 39131698; PMCID: PMC11313353
  18. Sehgal R, Markov Y, Qin C, Meer M, Hadley C, Shadyab AH, Casanova R, Manson JE, Bhatti P, Crimmins EM, Hägg S, Assimes TL, Whitsel EA, Higgins-Chen AT, Levine M. Systems Age: A single blood methylation test to quantify aging heterogeneity across 11 physiological systems. bioRxiv [Preprint]. 2023;2023.07.13.548904. doi: 10.1101/2023.07.13.548904. PubMed PMID: 37503069; PubMed Central PMCID: PMC10370047.
  19. Mutambudzi M, Brown MT, Chen NW. Association of Epigenetic Age and Everyday Discrimination With Longitudinal Trajectories of Chronic Health Conditions in Older Adults. J Gerontol A Biol Sci Med Sci. 2024 Mar 1;79(3). doi: 10.1093/gerona/glae005. PubMed PMID: 38190429; PubMed Central PMCID: PMC10878241.
  20. 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. Am J Epidemiol. 2023 Nov 10;192(12):1991-2005. doi: 10.1093/aje/kwad172. PubMed PMID: 37579321; PubMed Central PMCID: PMC10988110
  21. Schmitz LL, Duque V. In utero exposure to the Great Depression is reflected in late-life epigenetic aging signatures. Proc Natl Acad Sci U S A. 2022 Nov 15;119(46):e2208530119. doi: 10.1073/pnas.2208530119. Epub 2022 Nov 8. PubMed PMID: 36346848; PubMed Central PMCID: PMC9674255.
  22. Schmitz LL, Zhao W, Ratliff SM, Goodwin J, Miao J, Lu Q, Guo X, Taylor KD, Ding J, Liu Y, Levine M, Smith JA. The Socioeconomic Gradient in Epigenetic Ageing Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study. Epigenetics. 2022 Jun;17(6):589-611. doi: 10.1080/15592294.2021.1939479. Epub 2021 Jul 6. PubMed PMID: 34227900; PubMed Central PMCID: PMC9235889.
  23. Arpawong TE, Hernandez B, Potter C, Leigh RJ, Klopack ET, Hill C, Fiorito G, Smyth LJ, O’Halloran AM, McGuinness B, Faul JD, Kenny RA, McKnight AJ, Crimmins EM, McCrory C. A novel multi-system DNA methylation-based molecular timepiece. Submitted.

Biological Age

  1. Brown L, García C, Ailshire J. Does Salivary Telomere Length Explain Race/Ethnic Differences in Aging? Biodemography Soc Biol. 2019 Oct-Dec;65(4):351-369. doi: 10.1080/19485565.2020.1798736. Epub 2020 Nov 26. PMID: 33335644; PMCID: PMC7740300.
  2. Farina M, Kim JK, Crimmins EM. Increasing educational inequality in biological aging among adults aged 50-79 in the United States from 1988-1994 to 2015-2018. Submitted.
  3. Andrasfay T, Kim JK, Ailshire J, Crimmins EM. Aging on the job? The association between occupational characteristics and accelerated biological aging. J Gerontol B Psychol Sci Soc Sci. 2023;gbad055. doi: 10.1093/geronb/gbad055. PubMed Central PMCID: PMC10292835.
  4. Wu AH, Setiawan VW, Stram DO, Crimmins EM, Tseng CC, Lim U, Park SY, White KK, Cheng I, Haiman C, Wilkens LR, Le Marchand L. Racial, ethnic, and socioeconomic differences in a deficit accumulation frailty index in the Multiethnic Cohort Study. J Gerontol A Biol Sci Med Sci. 2023;78(7):1246-1257. doi: 10.1093/gerona/glac216. PubMed PMID: 36255109; PubMed Central PMCID: PMC11255091.
  5. Cao X, Ma C, Zheng Z, He L, Hao M, Chen X, Crimmins EM, Gill TM, Levine ME, Liu Z. Contribution of life course circumstances to the acceleration of phenotypic and functional aging: A retrospective study. E Clin Med. 2022;51:101548. doi: 10.1016/j.eclinm.2022.101548. PubMed PMID: 35844770; PubMed Central PMCID: PMC9284373.
  6. Thyagarajan B, Shippee N, Parsons H, Vinik S, Crimmins EM, Faul J, Shippee T. 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. Innov Aging. 2019;3(4). doi: 10.1093/geron/igz035. PubMed PMID: 3152878; PubMed Central PMCID: PMC6736363.
  7. Farina M, Kim JK, Crimmins EM. Racial/ethnic differences in biological aging and their life course socioeconomic determinants: The 2016 Health and Retirement Study. J Aging Health. 2023;35(3-4):209-220. doi: 10.1177/08982643221120743. Epub 2022 Aug 19. PubMed PMID: 35984401; PubMed Central PMCID: PMC9898094.
  8. Meier HCS, Hussein M, Needham B, Barber S, Lin J, Seeman T, Diez Roux A. Cellular response to chronic psychosocial stress: Ten-year longitudinal changes in telomere length in the Multi-Ethnic Study of Atherosclerosis. Psychoneuroendocrinology. 2019 Sep;107:70-81. doi: 10.1016/j.psyneuen.2019.04.018. Epub 2019 Apr 29. PubMed PMID: 31112903; PubMed Central PMCID: PMC6635040.
  9. Rentscher KE, Carroll JE, Repetti RL, Cole SW, Reynolds BM, Robles TF. Chronic stress exposure and daily stress appraisals relate to biological aging marker p16(INK4a). Psychoneuroendocrinology. 2019 Apr;102:139-148. doi: 10.1016/j.psyneuen.2018.12.006. Epub 2018 Dec 7. PubMed PMID: 30557761; PubMed Central PMCID: PMC6420375.
  10. Thomas Tobin CS, Gutiérrez Á, Bell CN, Thorpe RJ. Early Life Racial Discrimination, Racial Centrality, and Allostatic Load Among African American Older Adults. Gerontologist. 2022 May 26;62(5):721-731. doi: 10.1093/geront/gnab185. PubMed PMID: 34922345; PubMed Central PMCID: PMC9154246.
  11. Tobin CST, Gutiérrez Á, Erving CL, Norris KC, Thorpe RJ Jr. When Resilience Becomes Risk: A Latent Class Analysis of Psychosocial Resources and Allostatic Load Among African American Men. Am J Mens Health. 2022 May-Jun;16(3):15579883221104272. doi: 10.1177/15579883221104272. PubMed PMID: 35758236; PubMed Central PMCID: PMC9244943.
  12. Seeman M, Merkin SS, Karlamangla A, Koretz B, Grzywacz JG, Lachman M, Seeman T. On the Biopsychosocial Costs of Alienated Labor. Work Employ Soc. 2021 Oct 1;35(5):891-913. doi: 10.1177/0950017020952662. Epub 2021 Nov 17. PubMed PMID: 34707329; PubMed Central PMCID: PMC8547591.
  13. Brown, L. L., Zhang, Y. S., Mitchell, C., & Ailshire, J. A. (2018). Does telomere length indicate biological, physical, and cognitive health among older adults? Evidence from the health and retirement study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences73(12), 1626–1632. doi.org/10.1093/gerona/gly001
  14. Liu, Z., Kuo, P. L., Horvath, S., Crimmins, E., Ferrucci, L., Levine, M., & Basu, S. (2018). A new aging measure captures morbidity and mortality risk across diverse subpopulations from nhanes IV: A cohort study. PLoS Medicine15(12), e1002718–e1002718. doi.org/10.1371/JOURNAL.PMED.1002718
  15. 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’s Health Issues25(6), 680-687. doi.org/10.1016/j.whi.2015.07.002
  16. Levine, M. E., & Crimmins, E. M. (2014). Evidence of accelerated aging among African Americans and its implications for mortality. Social Science & Medicine (1982)118(C), 27–32. doi.org/10.1016/j.socscimed.2014.07.022 (NHANES)
  17. Seeman, M., Stein Merkin, S., Karlamangla, A., Koretz, B., & Seeman, T. (2014). Social status and biological dysregulation: The “status syndrome” and allostatic load. Social Science & Medicine (1982)118(C), 143–151. doi.org/10.1016/j.socscimed.2014.08.002 (MIDUS)
  18. Friedman, E. M., Karlamangla, A. S., Gruenewald, T. L., Koretz, B., & Seeman, T. E. (2015). Early Life Adversity and Adult Biological Risk Profiles. Psychosomatic Medicine77(2), 176–185. doi.org/10.1097/PSY.0000000000000147 (MIDUS)
  19. Brooks, K. P., Gruenewald, T., Karlamangla, A., Hu, P., Koretz, B., Seeman, T. E., & Kazak, A. E. (2014). Social Relationships and Allostatic Load in the MIDUS Study. Health Psychology33(11), 1373–1381.doi.org/10.1037/a0034528 (MIDUS)
  20. Crimmins, E., & Ailshire, J. (2013). Physical and Biological Indicators of Health and Functioning in U.S. Oldest Old. Annual Review of Gerontology & Geriatrics33(1), 193–215. doi.org/10.1891/0198-8794.33.193 (HRS)
  21. Goldman, N., Turra, C. M., Rosero-Bixby, L., Weir, D., & Crimmins, E. (2011). Do biological measures mediate the relationship between education and health: A comparative study. Social Science & Medicine (1982)72(2), 307–315. doi.org/10.1016/j.socscimed.2010.11.004 (SEBAS, CRELES, HRS)
  22. Crimmins, E., Vasunilashorn, S., Kim, J. K., Alley, D., & Makowski, G. (2008). Biomarkers Related to Aging in Human Populations. Advances in Clinical Chemistry46, 161–216. doi.org/10.1016/S0065-2423(08)00405-8

Bioage Geroscience

  1. Crimmins EM. Social hallmarks of aging: Suggestions for geroscience research. Aging Res Rev. 2020; Aug 13:101136. doi: 10.1016/j.arr.2020.101136. PubMed Central PMCID: PMC7530044.
  2. Brandhorst S, Levine M, Wei M, Shelehchi M, Morgan T, Nayak K, Dorff T, Hong K, Crimmins EM, Cohen P, Longo V. Fasting-mimicking diet causes hepatic and blood markers changes indicating reduced biological age and disease risk. Nat Commun. 2024;15:1309. doi: 10.1038/s41467-024-45260-9. PubMed Central PMCID: PMC10879164.
  3. Wang S, Prizment A, Moshele P, Vivek S, Blaes AH, Nelson HH, Thyagarajan B. Aging measures and cancer: Findings from the Health and Retirement Study. medRxiv [Preprint]. 2023 Sep 23:2023.09.20.23295845. doi: 10.1101/2023.09.20.23295845. PubMed Central PMCID: PMC10543046.
  4. Levine, M. E., & Crimmins, E. M. (2018). Is 60 the New 50? Examining Changes in Biological Age Over the Past Two Decades. Demography55(2), 387–402. doi.org/10.1007/s13524-017-0644-5

Immune Function

  1. Klopack ET, Thyagarajan B, Faul JD, Meier HCS, Ramasubramanian R, Kim JK, Crimmins EM. Socioeconomic status and age-related immunity in older US adults in the Health and Retirement Study. Biodemography Soc Biol. 2022;67(3-4):187-202. doi: 10.1080/19485565.2022.2149465. PMID: 36472376. PMCID: PMC9869898.
  2. Vivek S, Crimmins EM, Prizment AE, Meier HCS, Ramasubramanian R, Barcelo H, Faul J, Thyagarajan B. 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. Can J Diabetes. 2023; S1499-2671(23)00136-3. doi: 10.1016/j.jcjd.2023.05.010. Epub ahead of print. PMID: 37269981. PMCID: PMC10592537.
  3. Ramasubramanian R, Meier HCS, Vivek S, Klopack ET, Crimmins EM, Faul J, Nikolich- Žugich J, Thyagarajan B. Evaluation of T-cell aging-related immune phenotypes in the context of biological aging and multimorbidity in the Health and Retirement Study. Immun Ageing. 2022;19(1):33. doi: 10.1186/s12979-022-00296-1. PMCID: PMC9297609.
  4. Ramasubramanian R, Kim JW, Guan W, Meier HCS, Crimmins EM, Faul J, Thyagarajan B. Cohabitation as a determinant of adaptive and innate immune cell profiles: Findings from the Health and Retirement Study. Brain Behav Immun Health. 2023;33:100676. doi: 10.1016/j.bbih.2023.100676. PMID: 37663036. PMCID: PMC10474123.
  5. Farina MP, Kim JK, Hayward MD, Crimmins EM. Links between inflammation and immune functioning with cognitive status among older Americans in the Health and Retirement Study. Brain Behav Immun Health. 2022;26:100559. doi: 10.1016/j.bbih.2022.100559. PMID: 36439057. PMCID: PMC9694056.
  6. Klopack ET, Crimmins EM, Cole SW, Seeman TE, Carroll JE. Social stressors associated with higher percentage of age-related T lymphocytes in older US adults: Evidence from the Health and Retirement Study. Proc Natl Acad Sci U S A. 2022;119(25). doi: 10.1073/pnas.2202780119. PMCID: PMC9231620.
  7. Vivek S, Nelson HH, Prizment AE, Faul J, Crimmins EM, Thyagarajan B. Cross-sectional association between cytomegalovirus seropositivity, inflammation and cognitive impairment in elderly cancer survivors. Cancer Causes Control. 2021; doi: 10.1007/s10552-021-01504-3. Epub ahead of print. PMID: 34637066. PMCID: PMC8840815.
  8. Thyagarajan B, Faul J, Vivek S, Kim JK, Nikolich-Žugich J, Weir D, Crimmins EM. Age- related differences in T-cell subsets in a nationally representative sample of people over age 50: Findings from the Health and Retirement Study. Nat Aging. 2021;1(1):12-13. doi: 10.1038/s43587-020-00016-0. Epub 2021 Jan 14. PMCID: PMC9071411.
  9. Seshadri G, Vivek S, Prizment A, Crimmins EM, Klopack E, Faul J, Guan W, Meier H, Thyagarajan B. Immune cells are associated with mortality: The Health and Retirement Study. Front Immunol. 2023;14:1280144. doi: 10.3389/fimmu.2023.1280144. PMID: 37928548. PMCID: PMC10623116.
  10. Klopack E. Chronic stress and latent virus reactivation: Effects on immune aging, chronic disease morbidity, and mortality. J Gerontol B Psychol Sci Soc Sci. 2023;78(10):1707- 1716. doi: 10.1093/geronb/gbad087. PMID: 37294880. PMCID: PMC10561893.
  11. Cobb RJ, Parker LJ, Thorpe RJ. Self-reported Instances of Major Discrimination, Race/Ethnicity, and Inflammation Among Older Adults: Evidence From the Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2020 Jan 20;75(2):291-296. doi: 10.1093/gerona/gly267. PubMed PMID: 30508069; PubMed Central PMCID: PMC8127073.
  12. Donoho, C. J., Crimmins, E. M., & Seeman, T. E. (2013). Marital Quality, Gender, and Markers of Inflammation in the MIDUS Cohort. Journal of Marriage and Family75(1), 127–141.doi.org/10.1111/j.1741-3737.2012.01023.x (MIDUS)

Transcriptomics

  1. Klopack ET, Seshadri G, Arpawong TE, Cole S, Thyagarajan B, Crimmins EM. Development of a novel transcriptomic measure of aging: Transcriptomic Mortality-risk Age (TraMA). medRxiv [Preprint]. 2024 Dec 6:2024.12.04.24318517. doi: 10.1101/2024.12.04.24318517. PMID: 39677460; PMCID: PMC11643192.
  2. Snodgrass JG, Lacy MG, Dengah HJF 2nd, Polzer ER, Else RJ, Arevalo JMG, Cole SW. Positive mental well-being and immune transcriptional profiles in highly involved videogame players. Brain Behav Immun. 2019 Nov;82:84-92. doi: 10.1016/j.bbi.2019.07.035. Epub 2019 Jul 31. PubMed PMID: 31376495; PubMed Central PMCID: PMC6800642.
  3. Wu Q, Klopack ET, Kim JK, Arpawong E, Thyagarajan B, Cole S, Faul J, Crimmins EM. RNA-based indicators of cellular senescence predict aging health outcomes in the Health and Retirement Study. 2024. Submitted to Nature Communications

Psychosocial Factors and Cancer Immunity

  1. Cuneo MG, Szeto A, Schrepf A, Thaker PH, Goodheart M, Cole SW, Sood AK, McCabe PM, Mendez AJ, Lutgendorf SK. Positive Psychosocial Factors and Oxytocin in the Ovarian Tumor Microenvironment. Psychosom Med. 2021 Jun 1;83(5):417-422. doi: 10.1097/PSY.0000000000000935. PubMed PMID: 34080583; PubMed Central PMCID: PMC8175871.
  2. Lutgendorf SK, Penedo F, Goodheart MJ, Dahmoush L, Arevalo JMG, Thaker PH, Slavich GM, Sood AK, Cole SW. Epithelial-mesenchymal transition polarization in ovarian carcinomas from patients with high social isolation. Cancer. 2020 Oct 1;126(19):4407-4413. doi: 10.1002/cncr.33060. Epub 2020 Jul 21. PubMed PMID: 32691853; PubMed Central PMCID: PMC7719066.
  3. Cuneo MG, Szeto A, Schrepf A, Kinner EM, Schachner BI, Ahmed R, Thaker PH, Goodheart M, Bender D, Cole SW, McCabe PM, Sood AK, Lutgendorf SK, Mendez AJ. Oxytocin in the tumor microenvironment is associated with lower inflammation and longer survival in advanced epithelial ovarian cancer patients. Psychoneuroendocrinology. 2019 Aug;106:244-251. doi: 10.1016/j.psyneuen.2019.04.007. Epub 2019 Apr 6. PubMed PMID: 31005045; PubMed Central PMCID: PMC6716948.

Clinical Indicators

  1. García C, Ailshire JA. Biological Risk Profiles Among Latino Subgroups in the Health and Retirement Study. Innov Aging. 2019 Jun 29;3(2):igz017. doi: 10.1093/geroni/igz017. PMID: 31276052; PMCID: PMC6599425.
  2. Crimmins, E. M., Zhang, Y. S., Kim, J. K., Levine, M. E., & Newman, A. (2019). Changing Disease Prevalence, Incidence, and Mortality Among Older Cohorts: The Health and Retirement Study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences74(Supplement_1), S21–S26. doi.org/10.1093/gerona/glz075
  3. Mitchell UA, Ailshire JA, Kim JK, Crimmins EM. Black-White Differences in 20-year Trends in Cardiovascular Risk in the United States, 1990-2010. Ethn Dis. 2019 Oct 17;29(4):587-598. doi: 10.18865/ed.29.4.587. PMID: 31641326; PMCID: PMC6802170.
  4. Wu Q, Ailshire JA, Kim JK, Crimmins EM. Cardiometabolic risk trajectory among older Americans: Findings from the Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2021;glab205. doi: 10.1093/gerona/glab205. PMID: 34252185. PMCID: PMC8599082.
  5. Kim JK, Crimmins EM. Blood pressure and mortality: Joint effect of blood pressure measures. J Clin Cardiol Cardiovasc Ther. 2020;2(1):1009. doi: 10.31546/2633- 7916.1009. Epub 2020 Oct 21. PMCID: PMC7646937.
  6. Mawhorter S, Crimmins EM, Ailshire JA. Housing and cardiometabolic risk among older renters and homeowners. Hous Stud. 2023;38(7):1342-1364. doi: 10.1080/02673037.2021.1941792. Epub 2021 Jul 19. PMID: 37849684. PMCID: PMC10578645.
  7. Zhao E, Ailshire JA, Kim JK, Wu Q, Crimmins EM. Associations between change in kidney functioning, age, and health indicators in the Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2023;78(11):2094-2104. doi: 10.1093/gerona/glad204. PMID: 37611145. PMCID: PMC10613000.
  8. Cobb RJ, Thorpe RJ, Norris KC. Everyday Discrimination and Kidney Function Among Older Adults: Evidence From the Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2020 Feb 14;75(3):517-521. doi: 10.1093/gerona/glz294. PubMed PMID: 31838487; PubMed Central PMCID: PMC7021634.
  9. Burns SD, Baker EH, Sheehan CM. Disability and self-rated health: Exploring foreign- and U.S.-born differences across adulthood. J Migr Health. 2022;6:100112. doi: 10.1016/j.jmh.2022.100112. eCollection 2022. PubMed PMID: 35620793; PubMed  Central PMCID: PMC9126965.
  10. Donoho, C. J., Seeman, T. E., Sloan, R. P., Crimmins, E. M., & Kaslow, N. J. (2015). Marital Status, Marital Quality, and Heart Rate Variability in the MIDUS Cohort. Journal of Family Psychology29(2), 290–295. doi.org/10.1037/fam0000068

Sex Differences

  1. ZhaoE,Crimmins E.Mortalityandmorbidity inageingmen:biology,lifestyleandenvironment.ReviewsinEndocrineandMetabolic Disorders.2022.https://doi.org/10.1007/s11154-022-09737-6.  PMID: 35697963 PMCID: PMC9748037
  2. Haghani A, Arpawong TE, Kim JK, Lewinger JP, Finch CE, Crimmins E. Female vulnerability to the effects of smoking on health outcomes in older people. PLoS One. 2020;15(6):e0234015. doi: 10.1371/journal.pone.0234015. eCollection 2020. PubMed PMID: 32497122; PubMed Central PMCID: PMC7272024.
  3. Resciniti NV, Farina MP, Merchant AT, Lohman MC. Depressive Symptoms Partially Mediate the Association of Frailty Phenotype Symptoms and Cognition for Females but Not Males. J Aging Health. 2023 Jan;35(1-2):42-49. doi: 10.1177/08982643221100688. Epub 2022 May 8. PubMed PMID: 35527693; PubMed Central PMCID: PMC9640765.
  4. 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 Research31(1), 135–143. doi.org/10.1007/s40520-018-0932-y

Papers on Methods

  1. Crimmins EM, Thyagarajan B, Kim JK, Weir D, Faul J. Quest for a summary measure of biological age: The Health and Retirement Study. GeroScience. 2021. doi: 10.1007/s11357-021-00325-1. PMID: 33544281; PMCID: PMC8050146.
  2. McCrory C, McLoughlin S, Layte R, NiCheallaigh C, O’Halloran AM, Barros H, Berkman L, Bochud M, Crimmins E, Farrell M, Frag S, Grundy E, Kelly-Irving M, Petrovic D, Read S, Seeman T, Stringhini S, Vollenweider P, Kenny RA. Towards a consensus definition of allostatic load? A multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis. Psychoneuroendocrinology. 2023;153:106117. doi: 10.1016/j.psyneuen.2023.106117. Epub 2023 Apr 19. PMID: 37100008; PMCID: PMC10620736.
  3. Lee J, Petrosyan S, Khobragade P, Banerjee J, Chien S, Weerman B, Gross A, Hu P, Smith JA, Zhao W, Aksman L, Jain U, Shanthi GS, Kurup R, Raman A, Chakrabarti SS, Gambhir IS, Varghese M, John JP, Joshi H, Koul PA, Goswami D, Talukdar A, Mohanty RR, Yadati YSR, Padmaja M, Sankhe L, Rajguru C, Gupta M, Kumar G, Dhar M, Jovicich J, Ganna A, Ganguli M, Chatterjee P, Singhal S, Bansal R, Bajpai S, Desai G, Bhatankar S, Rao AR, Sivakumar PT, Muliyala KP, Sinha P, Loganathan S, Meijer E, Angrisani M, Kim JK, Dey S, Arokiasamy P, Bloom DE, Toga AW, Kardia SLR, Langa K, Crimmins EM, Dey AB. Deep phenotyping and genomic data from a nationally representative study on dementia in India. Sci Data. 2023 Jan 20;10(1):45. doi: 10.1038/s41597-023-01941-6. PubMed PMID: 36670106; PubMed Central PMCID: PMC9852797.
  4. Panikkar D, VIvek S, Crimmins E, Faul J, Langa KM, Thyagarajan B. Pre-analytical variables influencing stability of blood-based biomarkers of neuropathology. Journal of Alzheimer’s Disease. 2023;95(2):735-748. doi: 10.3233/JAD-230384. PMCID: PMC11520930
  5. Higgins-Chen AT, Thrush KL, Wang Y, Kuo P-L, Wang M, Minteer CJ, Moore AZ, Vinkers CH, Vermetten E, Rutten BPF, Geuze E, Okhuijsen-Pfeifer C, van der Horst MZ, Schreiter S, Gutwinski S, Luykx JJ, Ferrucci L, Crimmins EM, Boks MP, Hägg S, Hu-Seliger TT, Levine ME. A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking. Nat Aging. 2022;2:644–661. doi: 10.1038/s43587-022-00248-2. PMID: 36277076; PMCID: PMC9586209.
  6. Hunter-Schlichting D, Lane J, Cole B, Flaten Z, Barcelo H, Ramasubramanian R, Cassidy E, Faul J, Crimmins E, Pankratz N, Thyagarajan B. Validation of a hybrid approach to standardize immunophenotyping analysis in large population studies: The Health and Retirement Study. Sci Rep. 2020 May 29;10(1):8759. doi: 10.1038/s41598-020-65016-x. PMCID: PMC7260195.
  7. Crimmins EM, Zhang Y, Kim JK, Frochen S, Kang H, Shim H, Ailshire J, Potter A,  Cofferen J, Faul J. Dried Blood Spots: Effects of Less than Optimal Collection, Shipping Time, Heat, and Humidity. Am J Hum Biol. 2020 Jan 10. doi: 10.1002/ajhb.23390. PMCID: PMC7347424.
  8. Farina M, Saenz J, Crimmins EM. Does adding MRI and CSF-based biomarkers improve cognitive status classification based on cognitive performance questionnaires? PLoS One. 2023 May 8;18(5). doi: 10.1371/journal.pone.0285220. eCollection 2023. PMID: 37155663; PMCID: PMC10166486.
  9. Heiss JA, Bakulski KM, Thyagarajan B, Crimmins EM, Fisher J, Faul J, Just AC. Computational deconvolution of fifteen leukocyte subtypes from DNA methylation microarrays trained on flow cytometry data in the Health and Retirement Study. BioRxiv. 2023. PMCID exempted.
  10. Kim JK, Faul J, Weir DR, Crimmins EM. Dried blood spot based biomarkers in the Health and Retirement Study: 2006 to 2016. Am J Hum Biol. 2024 Feb;36(2):e23997. doi: 10.1002/ajhb.23997. Epub 2023 Oct 6. PubMed PMID: 37803815; PubMed Central PMCID: PMC10873048.
  11. Haghani A, Miller B, Arpawong TE, Ailshire J. Integrating Longitudinal Population Studies of Aging in Biological Research. Methods Mol Biol. 2020;2144:259-273. doi: 10.1007/978- 1-0716-0592-9_23. PubMed PMID: 32410042.
  12. Miller B, Haghani A, Ailshire J, Arpawong TE. Human Population Genetics in Aging Studies for Molecular Biologists. Methods Mol Biol. 2020;2144:67-76. doi: 10.1007/978-1- 0716-0592-9_6. PubMed PMID: 32410025.
  13. Chen X, Crimmins E, Hu PP, Kim JK, Meng Q, Strauss J, Wang Y, Zeng J, Zhang Y,  Zhao Y. Venous Blood-Based Biomarkers in the China Health and Retirement  Longitudinal Study: Rationale, Design, and Results From the 2015 Wave. Am J Epidemiol. 2019 Nov 1;188(11):1871-1877. doi: 10.1093/aje/kwz170. PubMed PMID: 31364691; PubMed Central PMCID: PMC6825825.
  14. Aguila E, Smith JP. 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. Soc Sci Med. 2020 Aug;259:113139. doi: 10.1016/j.socscimed.2020.113139. Epub 2020 Jun 26. PubMed PMID: 32623230; PubMed Central PMCID: PMC7394009.
  15. Zhang YS, Hu P, Strauss JA, Zhao Y, Wang Y, Crimmins EM. 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. Glob Health Action. 2020 Dec 31;13(1):1768502. doi: 10.1080/16549716.2020.1768502. PubMed PMID: 32544003; PubMed Central PMCID: PMC7480525.
  16. 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 Biology64(1), 43–62. doi.org/10.1080/19485565.2018.1451300
  17. 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 Methods463, 61–70. doi.org/10.1016/j.jim.2018.09.007
  18. Barcelo, H., Faul, J., Crimmins, E., & Thyagarajan, B. (2018). A Practical Cryopreservation and Staining Protocol for Immunophenotyping in Population Studies. Current Protocols in Cytometry84(1), e35-n/a. doi.org/10.1002/cpcy.35
  19. Hu, P., Edenfield, M., Potter, A., Kale, V., Risbud, A., Williams, S., Lee, J., Bloom, D. E., Crimmins, E., & Seeman, T. (2015). Validation and modification of dried blood spot-based glycosylated hemoglobin assay for the longitudinal aging study in India. American Journal of Human Biology27(4), 579–581. doi.org/10.1002/ajhb.22664
  20. 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. (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. Biodemography and Social Biology61(1), 111–120. doi.org/10.1080/19485565.2014.1001886
  21. Crimmins, E., Kim, J. K., McCreath, H., Faul, J., Weir, D., & Seeman, T. (2014). Validation of blood-based assays using dried blood spots for use in large population studies. Biodemography and Social Biology60(1), 38–48. doi.org/10.1080/19485565.2014.901885
  22. Levine, M. E., & Crimmins, E. M. (2014). A comparison of methods for assessing mortality risk. American Journal of Human Biology26(6), 768–776. doi.org/10.1002/ajhb.22595
  23. Vasunilashorn, S., Best, L. E., Kim, J. K., Crimmins, E. M., Anson, J., Luy, M., Anson, J., & Luy, M. (2014). Predicting Mortality from Profiles of Biological Risk and Performance Measures of Functioning. In Mortality in an International Perspective (Vol. 18, pp. 119–135). Springer International Publishing AG. doi.org/10.1007/978-3-319-03029-6_5 (NHANES)
  24. Crimmins, E. M., Vasunilashorn, S., Crimmins, E. M., & Rogers, R. G. (2011). Links Between Biomarkers and Mortality. In International Handbook of Adult Mortality (pp. 381–398). Springer Netherlands. doi.org/10.1007/978-90-481-9996-9_18 (NHANES and others)

Diet

  1. Choi YJ, Crimmins E, Ailshire J. Food Insecurity, Food Environments, and Disparities in Diet Quality and Obesity in a Nationally Representative Sample of Community-Dwelling Older Americans. Prev Med Rep. 2022;29:101912. PMCID: PMC9326331.
  2. Choi YJ, Ailshire J, Crimmins E. Diet Quality and Biological Risk in a National Sample of Older Americans. J Aging Health. 2021 Nov 13;8982643211046818. doi: 10.1177/08982643211046818. PMCID: PMC9098695.
  3. Choi YJ, Crimmins E, Kim JK, Ailshire J. Food and Nutrient Intake and Diet Quality among Older Americans. Public Health Nutr. 2021 May;24(7):1638-1647. PMID: 33557974. PMCID: PMC8094430.
  4. Rahal D, Chiang JJ, Huynh VW, Bower JE, McCreath H, Fuligni AJ. Low subjective social status is associated with daily selection of fewer healthy foods and more high-fat/high sugar foods. Appetite. 2023 Jan 1;180:106338. doi: 10.1016/j.appet.2022.106338. Epub 2022 Oct 7. PubMed PMID: 36210016; PubMed Central PMCID: PMC10479967.
  5. Choi YJ, Ailshire JA, Crimmins EM. Living alone, social networks in neighbourhoods, and daily fruit and vegetable consumption among middle-aged and older adults in the USA. Public Health Nutr. 2020 Dec;23(18):3315-3323. doi: 10.1017/S1368980020002475. Epub 2020 Aug 14. PubMed PMID: 32792025; PubMed Central PMCID: PMC7736134.
  6. 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. (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. Cell Metabolism19(3), 407–417. doi.org/10.1016/j.cmet.2014.02.006 (NHANES)

Global Health

  1. Ailshire J, Osuna M, Wilkens J, Lee J. Family Caregiving and Place of Death: Insights From Cross-national Analysis of the Harmonized End-of-Life Data. J Gerontol B Psychol Sci Soc Sci. 2021 Jun 8;76(Suppl 1):S76-S85. doi: 10.1093/geronb/gbaa225. PMID: 33378449; PMCID: PMC8355452.
  2. Ailshire J, Carr D. Cross-National Comparisons of Social and Economic Contexts of Aging. J Gerontol B Psychol Sci Soc Sci. 2021 Jun 8;76(Suppl 1):S1-S4. doi: 10.1093/geronb/gbab049. PMID: 34101809; PMCID: PMC8186853.
  3. Ailshire JA, Herrera CA, Choi E, Osuna M, Suzuki E. Cross-national differences in wealth inequality in health services and caregiving used near the end of life. EClinicalMedicine. 2023 Mar 16;58:101911. doi: 10.1016/j.eclinm.2023.101911. PMID: 36969343; PMCID: PMC10030998.
  4. Burns SD, Crimmins EM, Zhang M, Ailshire JA. Psychosocial Well-Being Differences Between the Young Old, Old-Old, and Oldest Old: A Global Comparison. J Aging Health. 2024 Jul 20;:8982643241264587. doi: 10.1177/08982643241264587. [Epub ahead of print] PubMed PMID: 39031083; NIHMSID:NIHMS2014174.
  5. Burns SD, Ailshire JA, Crimmins EM. Functional limitation among middle age and older adults: Exploring cross-national gender disparities. Arch Gerontol Geriatr. 2024 Aug;123:105410. doi: 10.1016/j.archger.2024.105410. Epub 2024 Mar 14. PubMed PMID: 38503129; PubMed Central PMCID: PMC11153036.
  6. Osuna M, Farina M, Ailshire J. Disabled life expectancy among older Colombian men and women. PLoS One. 2024;19(1):e0296638. doi: 10.1371/journal.pone.0296638. eCollection 2024. PubMed PMID: 38206966; PubMed Central PMCID: PMC10783758.
  7. Zhang YS, Crimmins EM. Urban-rural differentials in age-related biological risk among middle-aged and older Chinese. Int J Public Health. 2019 Jul;64(6):831-839. doi: 10.1007/s00038-018-1189-0. Epub 2018 Dec 8. PubMed PMID: 30535932; PubMed Central PMCID: PMC6556141.
  8. Saito Y, Kim JK, Davarian S, Hagedorn A, Crimmins EM. Cognitive Performance Among Older Persons in Japan and the United States. J Am Geriatr Soc. 2020 Feb;68(2):354- 361. doi: 10.1111/jgs.16163. Epub 2019 Sep 11. PubMed PMID: 31509240; PubMed Central PMCID: PMC7002215.
  9. Burns SD, Best LE, Amoatey S. Exploring the Intersectionality of Place and Gender Among Older Adults in Ghana: An Examination of Women’s Disability Disadvantage. Innov Aging. 2024;8(4):igad134. doi: 10.1093/geroni/igad134. eCollection 2024. PubMed PMID: 38572403; PubMed Central PMCID: PMC10986752.
  10. Crimmin, E. M. (2018). Older persons in the Netherlands and the United States: Similar in trends in life in good cognitive health and different in trends in life without disability/poor health. American Journal of Public Health (1971)108(12), 1582–1583. doi.org/10.2105/AJPH.2018.304759
  11. 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 Health62(7), 763–773. doi.org/10.1007/s00038-017-0968-3
  12. Wheatin, F.V. & Crimmins, E.M. (2016). Female disability disadvantage: a global perspective on sex differences in physical function and disability. Ageing and Society36(6), 1136–1156. doi.org/10.1017/S0144686X15000227
  13. Crimmins, E. M. (2015). Physiological Differences Across Populations Reflecting Early Life and Later Life Nutritional Status and Later Life Risk for Chronic Disease. Journal of Population Ageing8(1–2), 51–69. doi.org/10.1007/s12062-014-9109-4 (HRS, SEBAS, ELSA, MHAS, MxFLS, IFLS, CHARLS)
  14. Beltrán-Sánchez, H., Crimmins, E. M., Teruel, G. M., Thomas, D., Angel, J. L., Wong, R., & Whitfield, K. (2011). Links Between Childhood and Adult Social Circumstances and Obesity and Hypertension in the Mexican Population. Journal of Aging and Health23(7), 1141–1165. doi.org/10.1177/0898264311422255(MxFLS)
  15. Gurven, M., Kaplan, H., Winking, J., Rodriguez, D. E., Vasunilashorn, S., Kim, J. K., Finch, C., Crimmins, E., & Harpending, H. (2009). Inflammation and infection do not promote arterial aging and cardiovascular disease risk factors among lean horticulturalists. PloS One4(8), e6590–e6590. doi.org/10.1371/journal.pone.0006590 (Tsimane)
  16. Beltrán-Sánchez, H., & Crimmins, E. M. (2013). Biological Risk in the Mexican Population at the Turn of the 21st Century. Journal of Cross-Cultural Gerontology28(3), 299–316. doi.org/10.1007/s10823-013-9199-0 (ENSANUT, NHANES)
  17. Vasunilashorn, S., Kim, J. K., Crimmins, E. M., & Allison, D. (2013). International Differences in the Links between Obesity and Physiological Dysregulation: The United States, England, and Taiwan. Journal of Obesity2013(2013), 655–667. doi.org/10.1155/2013/618056 (NHANES, SEBAS, ELSA)
  18. Davarian, S., Crimmins, E., Takahashi, A., & Saito, Y. (2013). Sociodemographic Correlates of Four Indices of Blood Pressure and Hypertension among Older Persons in Japan. Gerontology (Basel)59(5), 392–400. doi.org/10.1159/000350531 (NUJLSOA)
  19. Crimmins, E. M., Wheaton, F., Vasunilashorn, S., Beltran-Sanchez, H., Zhang, L., Kim, J. K. (2013). A Global Perspective on Physiological Change with Age. In Global Ageing in the Twenty-First Century: Challenges, Opportunities and Implications (pp.79-103). Ashgate Publishing Ltd: England. (NHANES, CHARLS, SEBAS, ELSA, IFLS, JNHANES, ENSANUT, MxFLS, Tsimane).
  20. Vasunilashorn, S., Crimmins, E. M., Kim, J. K., Winking, J., Gurven, M., Kaplan, H., & Finch, C. E. (2010). Blood lipids, infection, and inflammatory markers in the Tsimane of Bolivia. American Journal of Human Biology22(6), 731–740. doi.org/10.1002/ajhb.21074 (Tsimane)
  21. Crimmins, E. M., Vasunilashorn, S., Kim, J. K., Hagedorn, A., & Saito, Y. (2008). A Comparison of Biological Risk Factors in Two Populations: The United States and Japan. Population and Development Review34(3), 457–482. doi.org/10.1111/j.1728-4457.2008.00232.x (JNHANES, NHANES) 

COVID-19

  1. Choi EY, Farina MP, Wu Q, Ailshire J. COVID-19 Social Distancing Measures and Loneliness Among Older Adults. J Gerontol B Psychol Sci Soc Sci. 2022 Jul 5;77(7):e167- e178. doi: 10.1093/geronb/gbab009. PMID: 33428753; PMCID: PMC7928665.
  2. Wu Q, Ailshire JA, Crimmins EM. Long COVID and symptom trajectory in a representative sample of Americans in the first year of the pandemic. Sci Rep. 2022 Jul 8;12(1):11647. doi: 10.1038/s41598-022-15727-0. PMID: 35804058; PMCID: PMC9264749.
  3. Farina MP, Ailshire JA. Sociodemographic and health status differences in delaying medical care during the COVID-19 pandemic among older adults: findings from the Health and Retirement Study. BMC Public Health. 2022 Sep 10;22(1):1720. doi: 10.1186/s12889- 022-14118-4. PMID: 36088320; PMCID: PMC9463671.
  4. Andrasfay T, Wu Q, Lee H, Crimmins EM. Adherence to Social-Distancing and Personal Hygiene Behavior Guidelines and Risk of COVID-19 Diagnosis: Evidence From the Understanding America Study. Am J Public Health. 2022 Jan;112(1):169-178. doi:10.2105/AJPH.2021.306565. PubMed PMID: 34936403; PubMed Central PMCID: PMC8713629.
  5. Lee H, Andrasfay T, Riley A, Wu Q, Crimmins EM. Do social determinants of health explain racial/ethnic disparities in COVID-19 infection? Soc Sci Med. 2022 Aug;306:115098. doi: 10.1016/j.socscimed.2022.115098. Epub 2022 Jun 3. PMID: 35759973; PMCID: PMC9162789.
  6. Cobb RJ, Sheehan CM, Nguyen AW, Johnson D. COVID-19 hardships and self-reported sleep quality among American adults in March and April 2020: Results from a nationally representative panel study. Sleep Health. 2022 Jun;8(3):288-293. doi: 10.1016/j.sleh.2022.01.001. Epub 2022 Apr 7. PubMed PMID: 35400616; PubMed Central PMCID: PMC8987572.
  7. Cobb RJ, Erving CL, Byrd WC. Perceived COVID-19 health threat increases psychological distress among Black Americans. Ethn Racial Stud. 2021;44(5):806-818. doi: 10.1080/01419870.2021.1867216. Epub 2021 Feb 3. PubMed PMID: 34035554; PubMed Central PMCID: PMC8143036.
  8. Kim JK, Crimmins EM. 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. Res Psychother. 2020 Dec 31;23(3):485. doi: 10.4081/ripppo.2020.485. eCollection 2020 Dec 31. PubMed PMID: 33585294; PubMed Central PMCID: PMC7876510.
  9. Kim JK, Crimmins EM. How does age affect personal and social reactions to COVID-19: Results from the national Understanding America Study. PLoS One. 2020;15(11):e0241950. doi: 10.1371/journal.pone.0241950. eCollection 2020. PubMed PMID: 33170903; PubMed Central PMCID: PMC7654776.
  10. Zhao E, Wu Q, Crimmins EM, Ailshire JA. Media trust and infection mitigating behaviours during the COVID-19 pandemic in the USA. BMJ Glob Health. 2020 Oct;5(10). doi: 10.1136/bmjgh-2020-003323. PubMed PMID: 33037063; PubMed Central PMCID: PMC7545496.
  11. Crimmins EM. Age-Related Vulnerability to Coronavirus Disease 2019 (COVID-19): Biological, Contextual, and Policy-Related Factors. Public Policy Aging Rep. 2020;30(4):142-146. doi: 10.1093/ppar/praa023. Epub 2020 Sep 7. Review. PubMed PMID: 33214754; PubMed Central PMCID: PMC7499698
  12. Choi EY, Farina MP, Zhao E, Ailshire J. Changes in social lives and loneliness during COVID-19 among older adults: a closer look at the sociodemographic differences. Int Psychogeriatr. 2023. Jun;35(6):305-317. doi: 10.1017/S1041610222001107. Epub 2023 Jan 9. PubMed PMID: 36621851; PubMed Central PMCID: PMC10198802.
  13. Easterlin MC, Crimmins EM, Finch CE. Will prenatal exposure to SARS-CoV-2 define a birth cohort with accelerated aging in the century ahead?. J Dev Orig Health Dis. 2021 Oct;12(5):683-687. doi: 10.1017/S204017442000104X. Epub 2020 Nov 10. Review. PubMed PMID: 33168125; PubMed Central PMCID: PMC7674789.

Contextual Analysis

  1. Frochen S, Ailshire J, Rodnyansky S. Residential care in Los Angeles: Evaluating the spatial distribution of facilities and neighbourhood access to care among older adults. Local Environ. 2019;24(3):274-288. doi: 10.1080/13549839.2018.1564254. Epub 2019 Jan 4. PMID: 33033440; PMCID: PMC7539763.
  2. Ailshire J, Brown LL. The Importance of Air Quality Policy for Older Adults and Diverse Communities. Public Policy Aging Rep. 2020 Dec 9;31(1):33-37. doi: 10.1093/ppar/praa036. Erratum in: Public Policy Aging Rep. 2021 Apr 23;31(3):110. doi: 10.1093/ppar/prab001. PMID: 33462554; PMCID: PMC7799383.
  3. Ailshire J, Walsemann KM. Education Differences in the Adverse Impact of PM2.5 on Incident Cognitive Impairment Among U.S. Older Adults. J Alzheimers Dis. 2021;79(2):615-625. doi: 10.3233/JAD-200765. PMID: 33337363. NIHMSID: 2031847
  4. Ailshire JA, Finch CE. Recently decreased association of air pollution with cognitive impairment in a population-based aging cohort and in a mouse model. Alzheimers Dement. 2022 May;18(5):1077-1078. doi: 10.1002/alz.12471. Epub 2021 Oct 7. PMID: 34617667. PMC11703122
  5. Crimmins EM, Ailshire JA. Aging and Place: The Importance of Place in Aging. Public Policy Aging Rep. 2021;31(1):1-2. doi: 10.1093/ppar/praa043. Epub 2020 Dec 24. PubMed PMID: 33859458; PubMed Central PMCID: PMC8046522.
  6. Erving CL, Cobb RJ. Neighborhood Social Group Participation and Depressive Symptoms Among Mid-to-Late Life Black Americans: Does the Association Differ by Ethnicity?. J Immigr Minor Health. 2021 Jun;23(3):478-486. doi: 10.1007/s10903-020-01070-x. PubMed PMID: 32816172; PubMed Central PMCID: PMC8018608.
  7. Ortiz R, Kershaw KN, Zhao S, Kline D, Brock G, Jaffee S, Golden SH, Ogedegbe G, Carroll J, Seeman TE, Joseph JJ. 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. Circ Cardiovasc Qual Outcomes. 2024 Feb;17(2):e009794. doi: 10.1161/CIRCOUTCOMES.122.009794. Epub 2024 Jan 23. PubMed PMID: 38258561; PubMed Central PMCID: PMC11078262.
  8. Besser L, Galvin JE, Rodriguez D, Seeman T, Kukull W, Rapp SR, Smith J. Associations between neighborhood built environment and cognition vary by apolipoprotein E genotype: Multi-Ethnic Study of Atherosclerosis. Health Place. 2019 Nov;60:102188. doi: 10.1016/j.healthplace.2019.102188. Epub 2019 Nov 29. PubMed PMID: 31797769; PubMed Central PMCID: PMC6901106.

Lifecycle Health

  1. García C, Garcia MA, Ailshire JA. Demographic and Health Characteristics of Older Latino Birth Cohorts in the Health and Retirement Study. J Gerontol B Psychol Sci Soc Sci. 2022 Nov 23;77(11):2060-2071. doi: 10.1093/geronb/gbac017. PMID: 35092422; PMCID: PMC9683499.
  2. Walsemann KM, Fisk CE, Farina MP, Abbruzzi E, Ailshire JA. Race, gender, and cohort differences in the educational experiences of Black and White Americans. Popul Res Policy Rev. 2023 Dec;42(6):86. doi: 10.1007/s11113-023-09831-w. Epub 2023 Oct 27. PMID: 39206094; PMCID: PMC11349311.
  3. Rahal D, Irwin MR, Fuligni AJ. Family meals are associated with lower substance use in female adolescents. Fam Process. 2024 Jul 31;. doi: 10.1111/famp.13039. [Epub ahead of print] PubMed PMID: 39082079; NIHMSID:NIHMS2011335.
  4. Rocha S, Almeida DM, Chiang JJ, Cole SW, Irwin MR, Seeman T, Fuligni AJ. The Relationship Between Family Socioeconomic Status and Adolescent Sleep and Diurnal Cortisol. Psychosom Med. 2022 Sep 1;84(7):848-855. doi: 10.1097/PSY.0000000000001104. Epub 2022 Jun 29. PubMed PMID: 35797448; PubMed Central PMCID: PMC9437129.
  5. Karan M, Bai S, Almeida DM, Irwin MR, McCreath H, Fuligni AJ. Sleep-Wake Timings in Adolescence: Chronotype Development and Associations with Adjustment. J Youth Adolesc. 2021 Apr;50(4):628-640. doi: 10.1007/s10964-021-01407-1. Epub 2021 Feb 19. PubMed PMID: 33606125; PubMed Central PMCID: PMC7993411.
  6. Rahal D, Chiang JJ, Fales M, Fuligni AJ, Haselton MG, Slavich GM, Robles TF. Early life stress, subjective social status, and health during late adolescence. Psychool Health. 2020 Dec;35(12):1531-1549. doi: 10.1080/08870446.2020.1761977. Epub 2020 May 13. PubMed PMID: 32400197; PubMed Central PMCID: PMC7666044.
  7. Park H, Chiang JJ, Bower JE, Irwin MR, Almeida DM, Seeman TE, McCreath H, Fuligni AJ. Sleep and Inflammation During Adolescents’ Transition to Young Adulthood. J Adolesc Health. 2020 Dec;67(6):821-828. doi: 10.1016/j.jadohealth.2020.04.015. Epub 2020 Jun 23. PubMed PMID: 32586679; PubMed Central PMCID: PMC9869641.
  8. Chiang JJ, Cole SW, Bower JE, Irwin MR, Taylor SE, Arevalo J, Fuligni AJ. Depressive symptoms and immune transcriptional profiles in late adolescents. Brain Behav Immun. 2019 Aug;80:163-169. doi: 10.1016/j.bbi.2019.03.004. Epub 2019 Mar 6. PubMed PMID: 30851376; PubMed Central PMCID: PMC6710012.
  9. Park H, Chiang JJ, Irwin MR, Bower JE, McCreath H, Fuligni AJ. Developmental trends in sleep during adolescents’ transition to young adulthood. Sleep Med. 2019 Aug;60:202- 210. doi: 10.1016/j.sleep.2019.04.007. Epub 2019 Apr 19. PubMed PMID: 31186213; PubMed Central PMCID: PMC6650269.
  10. Chiang JJ, Cole SW, Bower JE, Irwin MR, Taylor SE, Arevalo J, Fuligni AJ. Daily interpersonal stress, sleep duration, and gene regulation during late adolescence. Psychoneuroendocrinology. 2019 May;103:147-155. doi: 10.1016/j.psyneuen.2018.11.026. Epub 2018 Dec 28. PubMed PMID: 30690224; PubMed Central PMCID: PMC8447850.
  11. Rahal D, Huynh V, Cole S, Seeman T, Fuligni A. Subjective social status and health during high school and young adulthood. Dev Psychol. 2020 Jun;56(6):1220-1232. doi: 10.1037/dev0000919. Epub 2020 Mar 30. PubMed PMID: 32223295; PubMed Central PMCID: PMC7217753.

Socioeconomic Status and Mortality

  1. Noghanibehambari H, Fletcher J, Schmitz L, Duque V, Gawai V. Early-Life Economic Conditions and Old-Age Male Mortality: Evidence from Historical County-Level Bank Deposit Data. J Popul Econ. 2024 Mar;37(1). doi: 10.1007/s00148-024-01007-w. Epub 2024 Feb 29. PubMed PMID: 39301052; PubMed Central PMCID: PMC11411638.
  2. Zhang YS, Strauss JA, Hu P, Zhao Y, Crimmins EM. Links Between Mortality and Socioeconomic Characteristics, Disease Burden, and Biological and Physical Functioning in the Aging Chinese Population. J Gerontol B Psychol Sci Soc Sci. 2022 Feb 3;77(2):365-377. doi: 10.1093/geronb/gbab059. PubMed PMID: 33837409; PubMed Central PMCID: PMC8824635.
  3. Sudharsanan N, Zhang Y, Payne CF, Dow W, Crimmins E. Education and adult mortality in middle-income countries: Surprising gradients in six nationally-representative longitudinal surveys. SSM Popul Health. 2020 Dec;12:100649. doi: 10.1016/j.ssmph.2020.100649. eCollection 2020 Dec. PubMed PMID: 32923576; PubMed Central PMCID: PMC7475202.
  4. Stewart QT, Cobb RJ, Keith VM. The color of death: race, observed skin tone, and all- cause mortality in the United States. Ethn Health. 2020 Oct;25(7):1018-1040. doi: 10.1080/13557858.2018.1469735. Epub 2018 May 8. PubMed PMID: 29737188; PubMed Central PMCID: PMC6222008.
  5. Cobb RJ, Sheehan CM, Louie P, Erving CL. Multiple Reasons for Perceived Everyday Discrimination and All-Cause Mortality Risk Among Older Black Adults. J Gerontol A Biol Sci Med Sci. 2022 Feb 3;77(2):310-314. doi: 10.1093/gerona/glab281. PubMed PMID: 34605539; PubMed Central PMCID: PMC9012980

Stress and Psychological and Mental Health

  1. 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. Brain Behav Immun, 123, 1159-1168. https://doi.org/10.1016/j.bbi.2024.10.022
  2. Choi YJ, Choi EY, Ailshire JA. Neighborhood Poverty and Hopelessness in Older Adults: The Mediating Role of Perceived Neighborhood Disorder. PLoS One. 2024 Oct 15;19(10):e0311894. doi: 10.1371/journal.pone.0311894. PMCID: PMC11478814
  3. Walsemann KM, Ailshire JA, Hartnett CS. The Other Student Debt Crisis: How Borrowing to Pay for a Child’s College Education Relates to Parents’ Mental Health at Midlife. J Gerontol B Psychol Sci Soc Sci. 2020 Aug 13;75(7):1494-1503. doi: 10.1093/geronb/gbz146. PMID: 31696915; PMCID: PMC7424281.
  4. Lincoln KD, Ailshire J, Nguyen A, Taylor RJ, Govia I, Ifatunji MA. Profiles of sleep and depression risk among Caribbean Blacks. Ethn Health. 2021 Oct;26(7):981-999. doi: 10.1080/13557858.2019.1620179. Epub 2019 May 28. PMID: 31137946; PMCID: PMC6881538.
  5. Choi EY, Zelinski EM, Ailshire J. Neighborhood Social Environment and Self-Perceptions of Aging. Innov Aging. 2023 Apr 27;7(4):igad038. doi: 10.1093/geroni/igad038. PMID: 37213322; PMCID: PMC10195563.
  6. Choi YJ, Ailshire JA. Perceived neighborhood disorder, social cohesion, and depressive symptoms in spousal caregivers. Aging Ment Health. 2024 Jan-Feb;28(1):54-61. doi: 10.1080/13607863.2023.2212250. Epub 2023 May 25. PMID: 37227056. NIHMSID: 2046573
  7. Arpawong TE, Mekli K, Lee J, Phillips DF, Gatz M, Prescott CA. A longitudinal study shows stress proliferation effects from early childhood adversity and recent stress on risk for depressive symptoms among older adults. Aging Ment Health. 2022 Apr;26(4):870- 880. doi: 10.1080/13607863.2021.1904379. Epub 2021 Mar 30. PubMed PMID: 33784211; PubMed Central PMCID: PMC8673399.
  8. Snodgrass JG, Lacy MG, Cole SW. Internet gaming, embodied distress, and psychosocial well-being: A syndemic-syndaimonic continuum. Soc Sci Med. 2022 Feb;295:112728. doi: 10.1016/j.socscimed.2019.112728. Epub 2019 Dec 12. PubMed PMID: 31879045; PubMed Central PMCID: PMC7289667.
  9. Brown LL, Mitchell UA, Ailshire JA. Disentangling the Stress Process: Race/Ethnic Differences in the Exposure and Appraisal of Chronic Stressors Among Older Adults. J Gerontol B Psychol Sci Soc Sci. 2020 Feb 14;75(3):650-660. doi: 10.1093/geronb/gby072. PubMed PMID: 29878196; PubMed Central PMCID: PMC7328036.
  10. Arpawong TE, Sakuma KK, Espinoza L, Huh J. Longitudinal Examination of an Ethnic Paradox of Stress and Mental Health in Older Black and Latinx Adults. Clin Gerontol. 2023 Jan-Feb;46(1):27-46. doi: 10.1080/07317115.2022.2056102. Epub 2022 Mar 23. PubMed PMID: 35320059; PubMed Central PMCID: PMC9500116.
  11. Thorpe RJ Jr, Cobb R, King K, Bruce MA, Archibald P, Jones HP, Norris KC, Whitfield KE, Hudson D. The Association Between Depressive Symptoms and Accumulation of Stress Among Black Men in the Health and Retirement Study. Innov Aging. 2020;4(5):igaa047. doi: 10.1093/geroni/igaa047. eCollection 2020. PubMed PMID: 33354627; PubMed Central PMCID: PMC7737789.
  12. Karlamangla AS, Almeida DM, Lachman ME, Merkin SS, Thomas D, Seeman TE. Diurnal dynamic range as index of dysregulation of system dynamics. A cortisol examplar using data from the Study of Midlife in the United States. Psychoneuroendocrinology. 2022 Aug;142:105804. doi: 10.1016/j.psyneuen.2022.105804. Epub 2022 May 17. Review. PubMed PMID: 35623318; PubMed Central PMCID: PMC9262344.

Dementia and Socioeconomic Status

  1. Farina MP, Crimmins EM, Hayward MD. The role of Southern context in shaping life course exposures linked to dementia incidence for Black and White older adults in the United States. BMC Geriatr. 2024 Nov 11;24(1):927. doi: 10.1186/s12877-024-05508-x. PMID: 39528970; PMCID: PMC11552185.
  2. Ailshire JA, Walsemann KM, Fisk CE. Regional variation in U.S dementia trends from 2000-2012. SSM Popul Health. 2022 Jul 7;19:101164. doi: 10.1016/j.ssmph.2022.101164. PMID: 35855971; PMCID: PMC9287555.
  3. Farina MP, Zhang YS, Kim JK, Hayward MD, Crimmins EM. Trends in Dementia Prevalence, Incidence, and Mortality in the United States (2000-2016). J Aging Health. 2022 Jan;34(1):100-108. doi: 10.1177/08982643211029716. Epub 2021 Jul 7. PubMed PMID: 34233528; PubMed Central PMCID: PMC8989461.
  4. Farina MP, Hayward MD, Kim JK, Crimmins EM. Racial and Educational Disparities in Dementia and Dementia-Free Life Expectancy. J Gerontol B Psychol Sci Soc Sci. 2020 Aug 13;75(7):e105-e112. doi: 10.1093/geronb/gbz046. PubMed PMID: 31111926; PubMed Central PMCID: PMC7530490.
  5. Saenz JL, Beam CR, Zelinski EM. The Association Between Spousal Education and Cognitive Ability Among Older Mexican Adults. J Gerontol B Psychol Sci Soc Sci. 2020 Aug 13;75(7):e129-e140. doi: 10.1093/geronb/gbaa002. PubMed PMID: 31974544; PubMed Central PMCID: PMC7424282.
  6. Hayward MD, Farina MP, Zhang YS, Kim JK, Crimmins EM. The Importance of Improving Educational Attainment for Dementia Prevalence Trends From 2000 to 2014, Among Older Non-Hispanic Black and White Americans. J Gerontol B Psychol Sci Soc Sci. 2021 Oct 30;76(9):1870-1879. doi: 10.1093/geronb/gbab015. PubMed PMID: 33481025; PubMed Central PMCID: PMC8557827.
  7. Stokes AC, Weiss J, Lundberg DJ, Xie W, Kim JK, Preston SH, Crimmins EM. Estimates of the Association of Dementia With US Mortality Levels Using Linked Survey and Mortality Records. JAMA Neurol. 2020 Dec 1;77(12):1543-1550. doi: 10.1001/jamaneurol.2020.2831. PubMed PMID: 32852519; PubMed Central PMCID: PMC7445631.
  8. Zhu Y, Chen Y, Crimmins EM, Zissimopoulos JM. Sex, Race, and Age Differences in Prevalence of Dementia in Medicare Claims and Survey Data. J Gerontol B Psychol Sci Soc Sci. 2021 Feb 17;76(3):596-606. doi: 10.1093/geronb/gbaa083. PubMed PMID: 32588052; PubMed Central PMCID: PMC7887731.
  9. Park S-Y, Setiawan VW, Crimmins EM, White LR, Wu AH, Cheng I, Haiman CA, Wilkens LR, Le Marchand L, Lim U. Racial and ethnic differences in the population-attributable fractions of Alzheimer Disease and related dementias. Neurology. 2024;102(3). doi: 10.1212/WNL.0000000000208116. Epub 2024 Jan 17. PMID: 38232335; PMCID: PMC11097758.
  10. Chen, Y., Tysinger, B., Crimmins, E., & Zissimopoulos, J. M. (2019). Analysis of dementia in the US population using Medicare claims: Insights from linked survey and administrative claims data. Alzheimer’s & Dementia : Translational Research & Clinical Interventions5(1), 197–207. doi.org/10.1016/j.trci.2019.04.003

Cognitive Function and Aging

  1. 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. Geroscience, 47(1), 915-934. https://doi.org/10.1007/s11357-024-01310-0
  2. Walsemann KM, Ailshire JA. Early Educational Experiences and Trajectories of Cognitive Functioning Among US Adults in Midlife and Later. Am J Epidemiol. 2020 May 5;189(5):403-411. doi: 10.1093/aje/kwz276. PMID: 31907547; PMCID: PMC7443204.
  3. Henderson AK, Walsemann KM, Ailshire JA. Religious Involvement and Cognitive Functioning at the Intersection of Race-Ethnicity and Gender Among Midlife and Older Adults. J Gerontol B Psychol Sci Soc Sci. 2022 Jan 12;77(1):237-248. doi: 10.1093/geronb/gbab034. PMID: 33640966; PMCID: PMC8923294.
  4. Walsemann KM, Ureña S, Farina MP, Ailshire JA. 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. J Gerontol B Psychol Sci Soc Sci. 2022 Aug 11;77(8):1467-1477. doi: 10.1093/geronb/gbac026. PMID: 35139199; PMCID: PMC9371452.
  5. Walsemann KM, Kerr EM, Ailshire JA, Herd P. Black-White variation in the relationship between early educational experiences and trajectories of cognitive function among US- born older adults. SSM Popul Health. 2022 Jul 31;19:101184. doi: 10.1016/j.ssmph.2022.101184. PMID: 35958228; PMCID: PMC9358471.
  6. Mawhorter SL, Wilkie RZ, Ailshire JA. Inequality in housing transitions during cognitive decline. PLoS One. 2023 Apr 12;18(4):e0282329. doi: 10.1371/journal.pone.0282329. PMID: 37043418; PMCID: PMC10096249.
  7. 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. Soc Sci Med. 2023 Dec;338:116319. doi: 10.1016/j.socscimed.2023.116319. Epub 2023 Oct 15. PMID: 37871395; PMCID: PMC10872867.
  8. Wu Q, Ailshire JA, Kim JK, Crimmins EM. The Association Between Cardiometabolic Risk and Cognitive Function Among Older Americans and Chinese. J Gerontol A Biol Sci Med Sci. 2024 Jul 1;79(7):glae116. doi: 10.1093/gerona/glae116. PMID: 38699992; PMCID: PMC11157968.
  9. Walsemann KM, Jackson H, Abbruzzi E, Ailshire JA. State-Level Education Quality and Trajectories of Cognitive Function by Race and Educational Attainment. Milbank Q. 2024 Jul 10. doi: 10.1111/1468-0009.12709. Epub ahead of print. PMID: 38984387. PMCID: PMC11576583
  10. Imms P, Chaudhari NN, Chowdhury NF, Wang H, Yu X, Amgalan A, Irimia A. Neuroanatomical and clinical factors predicting future cognitive impairment. Geroscience. 2024 Aug 17;. doi: 10.1007/s11357-024-01310-0. [Epub ahead of print] PubMed PMID: 39153054.
  11. Marquez I, Garcia-Cifuentes E, Velandia FR, Iragorri A, Saavedra AM, Borda MG, Osuna M, Ailshire J, Cano-Gutierrez CA. Motoric Cognitive Risk Syndrome: Prevalence and Cognitive Performance. A cross-sectional study. Lancet Reg Health Am. 2022 Apr;8:100162. doi: 10.1016/j.lana.2021.100162. eCollection 2022 Apr. PubMed PMID: 36778728; PubMed Central PMCID: PMC9904094.
  12. Saenz JL, Díaz-Venegas C, Crimmins EM. Fertility History and Cognitive Function in Late Life: The Case of Mexico. J Gerontol B Psychol Sci Soc Sci. 2021 Mar 14;76(4):e140- e152. doi: 10.1093/geronb/gbz129. PubMed PMID: 31603514; PubMed Central PMCID: PMC7955970.
  13. 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 reports8(1), 14212. doi.org/10.1038/s41598-018-32616-7
  14. Levine, M. E., Harrati, A., & Crimmins, E. M. (2018). Predictors and implications of accelerated cognitive aging. Biodemography and Social Biology64(2), 83–101. doi.org/10.1080/19485565.2018.1552513
  15. Karlamangla, A. S., Miller-Martinez, D., Lachman, M. E., Tun, P. A., Koretz, B. K., & Seeman, T. E. (2014). Biological correlates of adult cognition: Midlife in the United States (MIDUS). Neurobiology of Aging35(2), 387–394. doi.org/10.1016/j.neurobiolaging.2013.07.028 (MIDUS)

Life Expectancy

  1. Crimmins EM. Recent trends and increasing differences in life expectancy present opportunities for multidisciplinary research on aging. Nat Aging. 2021 Jan;1(1):12-13. doi: 10.1038/s43587-020-00016-0. Epub 2021 Jan 14. PubMed PMID: 34355199; PubMed Central PMCID: PMC8336715.
  2. Zhang YS, Saito Y, Crimmins EM. Changing Impact of Obesity on Active Life Expectancy of Older Americans. J Gerontol A Biol Sci Med Sci. 2019 Nov 13;74(12):1944-1951. doi: 10.1093/gerona/glz133. PubMed PMID: 31120111; PubMed Central PMCID: PMC6853657.

Genomics, Genes and Gene Expression

  1. Li MJ, Richter EI, Okafor CN, Kalmin MM, Dalvie S, Takada S, Gorbach PM, Shoptaw SJ, Cole SW. Social Genomics of Methamphetamine Use, HIV Viral Load, and Social Adversity. Ann Behav Med. 2022 Aug 30;56(9):900-908. doi: 10.1093/abm/kaab096. PubMed PMID: 36039526; PubMed Central PMCID: PMC9424866.
  2. Li MJ, Takada S, Okafor CN, Gorbach PM, Shoptaw SJ, Cole SW. Experienced homophobia and gene expression alterations in Black and Latino men who have sex with men in Los Angeles County. Brain Behav Immun. 2020 Jan;83:120-125. doi: 10.1016/j.bbi.2019.09.021. Epub 2019 Sep 26. PubMed PMID: 31563693; PubMed Central PMCID: PMC6906252.
  3. Black DS, Christodoulou G, Cole S. Mindfulness meditation and gene expression: a hypothesis-generating framework. Curr Opin Psychol. 2019 Aug;28:302-306. doi: 10.1016/j.copsyc.2019.06.004. Epub 2019 Jul 11. Review. PubMed PMID: 31352296; PubMed Central PMCID: PMC6778024.
  4. Murray DR, Haselton MG, Fales M, Cole SW. Subjective social status and inflammatory gene expression. Health Psychol. 2019 Feb;38(2):182-186. doi: 10.1037/hea0000705. PubMed PMID: 30652915; PubMed Central PMCID: PMC6592277.
  5. Arpawong TE, Gatz M, Zavala C, Gruenewald TL, Walters EE, Prescott CA. Nature, Nurture, and the Meaning of Educational Attainment: Differences by Sex and Socioeconomic Status. Twin Res Hum Genet. 2023 Feb;26(1):1-9. doi: 10.1017/thg.2023.6. Epub 2023 Mar 13. PubMed PMID: 36912114; PubMed Central PMCID: PMC10497722.
  6. Robinette, J. W., Boardman, J. D., & Crimmins, E. (2018). Perceived neighborhood social cohesion and cardiometabolic risk: a gene × environment study. Biodemography and Social Biology64(3–4), 173–186. doi.org/10.1080/19485565.2019.1579084
  7. Robinette, J. W., Boardman, J. D., & Crimmins, E. M. (2019). Differential vulnerability to neighbourhood disorder: a gene×environment interaction study. Journal of Epidemiology and Community Health (1979)73(5), 388–392. doi.org/10.1136/jech-2018-211373
  8. 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 Immunity76, 97–103. doi.org/10.1016/j.bbi.2018.11.009
  9. Liu, Z., Chen, X., Gill, T. M., Ma, C., Crimmins, E. M., Levine, M. E., & Mengel-From, J. (2019). Associations of genetics, behaviors, and life course circumstances with a novel aging and healthspan measure: Evidence from the health and retirement study. PLoS Medicine16(6), e1002827–e1002827. doi.org/10.1371/journal.pmed.1002827
  10. Black, D. S., Cole, S. W., Christodoulou, G., & Figueiredo, J. C. (2018). Genomic mechanisms of fatigue in survivors of colorectal cancer. Cancer124(12), 2637–2644. doi.org/10.1002/cncr.31356
  11. 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 Epidemiology186(5), 503–509. doi.org/10.1093/aje/kwx147
  12. Arpawong, T. E., Pendleton, N., Mekli, K., McArdle, J. J., Gatz, M., Armoskus, C., Knowles, J. A., Prescott, C. A., & Ginsberg, S. D. (2017). Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort. PloS One12(8), e0182448–e0182448. doi.org/10.1371/journal.pone.0182448
  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 (1969)81(2), 136–144. doi.org/10.1016/j.biopsych.2016.07.008
  14. McDade, T. W., M. Ross, K., L. Fried, R., Arevalo, J. M. G., 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 Biology62(2), 182–197. doi.org/10.1080/19485565.2016.1185600
  15. Levine, M. E., & Crimmins, E. M. (2016). A Genetic Network Associated with Stress Resistance, Longevity, and Cancer in Humans. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences71(6), 703–712. doi.org/10.1093/gerona/glv141
  16. 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 Immunity51, 223–229. doi.org/10.1016/j.bbi.2015.08.024
  17. 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 Genetics46(1), 72–88. doi.org/10.1007/s10519-015-9740-8
  18. Knight, J. M., Rizzo, J. D., Logan, B. R., Wang, T., Arevalo, J. M. G., Ma, J., & Cole, S. W. (2016). Low socioeconomic status, adverse gene expression profiles, and clinical outcomes in hematopoietic stem cell transplant recipients. Clinical Cancer Research22(1), 69–78. doi.org/10.1158/1078-0432.CCR-15-1344
  19. Vedhara, K., Gill, S., Eldesouky, L., Campbell, B. K., Arevalo, J. M. G., Ma, J., & Cole, S. W. (2015). Personality and gene expression: Do individual differences exist in the leukocyte transcriptome? Psychoneuroendocrinology52(1), 72–82. doi.org/10.1016/j.psyneuen.2014.10.028
  20. Levine, M. E., Crimmins, E. M., Prescott, C. A., Phillips, D., Arpawong, T. E., & Lee, J. (2014). A Polygenic Risk Score Associated with Measures of Depressive Symptoms Among Older Adults. Biodemography and Social Biology60(2), 199–211. doi.org/10.1080/19485565.2014.952705(HRS)
  21. Levine, M. E., Cole, S. W., Weir, D. R., & Crimmins, E. M. (2015). Childhood and later life stressors and increased inflammatory gene expression at older ages. Social Science & Medicine (1982)130, 16–22. doi.org/10.1016/j.socscimed.2015.01.030 (HRS)
  22. Vasunilashorn, S., Finch, C. E., Crimmins, E. M., Vikman, S. A., Stieglitz, J., Gurven, M., Kaplan, H., & Allayee, H. (2011). Inflammatory Gene Variants in the Tsimane, an Indigenous Bolivian Population with a High Infectious Load. Biodemography and Social Biology57(1), 33–52. doi.org/10.1080/19485565.2011.564475

Other Papers

  1. Sheehan, C.M.,Frochen,S.E.,Walsemann, K. M.,Ailshire, J.A. .Are U.S. adults reporting less sleep?:Findings from sleep duration trends in the National Health Interview Survey, 2004-2017.Sleep. 2019 Feb 1;42(2):zsy221.doi:10.1093/sleep/zsy221. PMID:30452725; PMCID:PMC6941709.
  2. García C, Sheehan CM, Flores-Gonzalez N, Ailshire JA. Sleep Patterns among US Latinos by Nativity and Country of Origin: Results from the National Health Interview Survey. Ethn Dis. 2020 Jan 16;30(1):119-128. doi: 10.18865/ed.30.1.119. PMID: 31969791; PMCID: PMC6970521.
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