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Papers on Validation of Methods

  • 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 Biology32(5), e23390-n/a. doi.org/10.1002/ajhb.23390
  • Chen, X., Crimmins, E., Hu, P. (Perry), 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 Epidemiology188(11), 1871–1877. doi.org/10.1093/aje/kwz170
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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)
  • 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)

Papers on International Differences

  • Zhang, Y. S., Strauss, J. A., Hu, P., Zhao, Y., Crimmins, E. M., & Kelley, J. (2022). Links Between Mortality and Socioeconomic Characteristics, Disease Burden, and Biological and Physical Functioning in the Aging Chinese Population. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences77(2), 365–377. doi.org/10.1093/geronb/gbab059
  • 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 (JAGS)68(2), 354–361. doi.org/10.1111/jgs.16163
  • 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
  • Zhang, Y. S., & Crimmins, E. M. (2019). Urban–rural differentials in age-related biological risk among middle-aged and older Chinese. International Journal of Public Health64(6), 831–839. doi.org/10.1007/s00038-018-1189-0
  • 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 (Baltimore, Md.)65(1), 135–145. doi.org/10.1373/clinchem.2018.288332
  • 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
  • WHEATON, 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
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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).
  • 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)
  • 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) 

Papers on Genetics

  • Crimmins, E. M., Thyagarajan, B., Levine, M. E., Weir, D. R., Faul, J., & Newman, A. B. (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. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences76(6), 1117–1123. doi.org/10.1093/gerona/glab016
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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)
  • 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)
  • 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

Papers Using HRS

  • Crimmins, E. M., Thyagarajan, B., Levine, M. E., Weir, D. R., Faul, J., & Newman, A. B. (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. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences76(6), 1117–1123. doi.org/10.1093/gerona/glab016
  • 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. Journal of Aging and Health34(4–5), 539–549. doi.org/10.1177/08982643211046818
  • 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). Journal of Aging and Health34(1), 100–108. doi.org/10.1177/08982643211029716
  • Wu, Q., Ailshire, J. A., Kim, J. K., Crimmins, E. M., & Lipsitz, L. (2021). Cardiometabolic Risk Trajectory Among Older Americans: Findings From the Health and Retirement Study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences76(12), 2265–2274. doi.org/10.1093/gerona/glab205
  • 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 Nutrition24(7), 1638–1647. doi.org/10.1017/S1368980021000586
  • 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. GeroScience43(1), 395–408.doi.org/10.1007/s11357-021-00325-1
  • Hayward, M. D., Farina, M. P., Zhang, Y. S., Kim, J. K., Crimmins, E. M., & Carr, D. S. (2021). The Importance of Improving Educational Attainment for Dementia Prevalence Trends From 2000 to 2014, Among Older Non-Hispanic Black and White Americans. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences76(9), 1870–1879. doi.org/10.1093/geronb/gbab015
  • Crimmins, E. M. (2020). Social hallmarks of aging: Suggestions for geroscience research. Ageing Research Reviews63, 101136–101136. doi.org/10.1016/j.arr.2020.101136
  • 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 neurology77(12), 1543–1550. doi.org/10.1001/jamaneurol.2020.2831
  • Farina, M. P., Hayward, M. D., Kim, J. K., Crimmins, E. M., & Brown, J. S. (2020). Racial and Educational Disparities in Dementia and Dementia-Free Life Expectancy. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences75(7), e105–e112. doi.org/10.1093/geronb/gbz046
  • 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 Health12, 100649–100649. doi.org/10.1016/j.ssmph.2020.100649
  • Zhu, Y., Chen, Y., Crimmins, E. M., Zissimopoulos, J. M., & Carr, D. S. (2021). 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 Sciences76(3), 596–606. doi.org/10.1093/geronb/gbaa083
  • Kim, J. K., & Crimmins, E. M. (2020). Blood Pressure and Mortality: Joint Effect of Blood Pressure Measures. Journal of clinical cardiology and cardiovascular therapy2(1), 1009. doi.org/10.31546/2633-7916.1009
  • Haghani, A., Arpawong, T. E., Kim, J. K., Lewinger, J. P., Finch, C. E., Crimmins, E., & Doran, N. (2020). Female vulnerability to the effects of smoking on health outcomes in older people. PloS One15(6), e0234015–e0234015. doi.org/10.1371/journal.pone.0234015
  • Crimmins EM, Yuan Z, Kim JK, Morgan L. (2021). Trends in Morbidity, Healthy Life Expectancy, and the Compression of Morbidity.. Musi, Nicolas & Hornsby, Peter J. (Eds.) (pp. 405-414). London: Academic Press.
  • Mawhorter, S., Crimmins, E. M., & Ailshire, J. A. (2023). Housing and cardiometabolic risk among older renters and homeowners. Housing Studies38(7), 1342–1364. doi.org/10.1080/02673037.2021.1941792
  • 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
  • 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 & Disease29(4), 587–598. doi.org/10.18865/ed.29.4.587
  • Farina, M. P., Hayward, M. D., Kim, J. K., Crimmins, E. M., & Brown, J. S. (2020). Racial and Educational Disparities in Dementia and Dementia-Free Life Expectancy. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences75(7), e105–e112. doi.org/10.1093/geronb/gbz046
  • 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
  • Zhang, Y. S., Saito, Y., & Crimmins, E. M. (2019). Changing Impact of Obesity on Active Life Expectancy of Older Americans. The journals of gerontology. Series A, Biological sciences and medical sciences74(12), 1944–1951. doi.org/10.1093/gerona/glz133
  • 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
  • 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
  • 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
  • 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
  • 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)
  • 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)

Papers Using MIDUS

  • 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
  • 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)
  • Crandall, C. J., Karlamangla, A. S., Merkin, S. S., Binkley, N., Carr, D., Greendale, G. A., & Seeman, T. E. (2015). Adult bone strength of children from single-parent families: the Midlife in the United States Study. Osteoporosis International26(3), 931–942. doi.org/10.1007/s00198-014-2990-0 (MIDUS)
  • 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)
  • 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)
  • Miller-Martinez, D., Seeman, T., Karlamangla, A. S., Greendale, G. A., Binkley, N., & Crandall, C. J. (2014). Marital histories, marital support, and bone density: findings from the Midlife in the United States Study. Osteoporosis International25(4), 1327–1335. doi.org/10.1007/s00198-013-2602-4 (MIDUS)
  • 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)
  • 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)

Papers Using NHANES

  • 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
  • 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
  • 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
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