HRS Bibliography

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S

Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Weinstein M, Willis RJ. Stretching Social Surveys to Include Bioindicators: Possibilities for the Health and Retirement Study, Experience from The Taiwan Study of the Elderly. In: Finch CE, Vaupel JW, Kinsella K, eds. Cells and Surveys: Should Biological Measures Be Included in Social Research?. Cells and Surveys: Should Biological Measures Be Included in Social Research? National Academy Press; 2001.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Maurer J, Klein R, Vella F. Subjective Health Assessments And Active Labor Market Participation Of Older Men: Evidence From A Semiparametric Binary Choice Model With Nonadditive Correlated Individual-Specific Effects. The Review of Economics and Statistics. 2011;93(3):764-774. doi:https://doi.org/10.1162/REST_a_00097.
Bray VJ, Dhillon HM, Vardy JL. Systematic review of self-reported cognitive function in cancer patients following chemotherapy treatment. Journal of Cancer Survivorship. 2018:1-23. doi:10.1007/s11764-018-0692-x.

T

Poterba JM, Wise DA, Venti SF. Tapping Assets in Retirement: Which Assets, How, and When?. NBER; 2008.
Michaud P-C, Kapteyn A, Smith JP, vanSoest AHO. Temporary and Permanent Unit Non-Response in Follow-up Interviews of the Health and Retirement Study. Longitudinal and Life Course Studies. 2011;2(2):145-169.
Graf GH, Crowe CL, Kothari M, et al. Testing Black-White Disparities in Biological Aging Among Older Adults in the United States: Analysis of DNA-Methylation and Blood-Chemistry Methods. American Journal of Epidemiology. 2022;191(4):613-625. doi:https://doi.org/10.1093/aje/kwab281.
Graf GH, Crowe CL, Kothari M, et al. Testing Black-White Disparities in Biological Aging Among Older Adults in the United States: Analysis of DNA-Methylation and Blood-Chemistry Methods. American Journal of Epidemiology. 2022;191(4):613-625. doi:10.1093/aje/kwab281.
A Kraal Z, Zaheed AB, Krasnova A, Vadari H, Byrd DAR, Zahodne LB. Time-lagged associations between two adverse childhood experiences and later-life cognitive function through educational attainment and stroke. J Int Neuropsychol Soc. 2023:1-10. doi:10.1017/S135561772300036X.
McCrory C, McLoughlin S, Layte R, et al. 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.
Tarraf W, Jensen GA, Dillaway HE, Vásquez PM, González HM. Trajectories of Aging among US Older Adults: Mixed Evidence for a Hispanic Paradox. The Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2020;75(3):601-612. doi:10.1093/geronb/gby057.
http://www.ncbi.nlm.nih.gov/pubmed/29788310?dopt=Abstract
Poterba JM, Venti SF, Wise DA. The Transition to Personal Retirement Accounts and Increasing Retirement Wealth. In: Wise DA, ed. Perspectives on the Economics of Aging. Perspectives on the Economics of Aging. Chicago, IL: University of Chicago Press; 2004. doi:10.3386/w8610.
Nguyen TT, Vable AM, M. Glymour M, Nuru-Jeter A. Trends for Reported Discrimination in Health Care in a National Sample of Older Adults with Chronic Conditions. Journal of General Internal Medicine. 2018;33(3):291-297. doi:10.1007/s11606-017-4209-5.
http://www.ncbi.nlm.nih.gov/pubmed/29247435?dopt=Abstract
Zivin K, Pirraglia PA, McCammon RJ, Langa KM, Vijan S. Trends in depressive symptom burden among older adults in the United States from 1998 to 2008. J Gen Intern Med. 2013;28(12):1611-9. doi:10.1007/s11606-013-2533-y.
http://www.ncbi.nlm.nih.gov/pubmed/23835787?dopt=Abstract
Toth M, Palmer L, Bercaw LE, Voltmer H, Karon S. Trends in the Use of Residential Settings Among Older Adults. The Journals of Gerontology: Series B. 2022;77(2):424-428. doi:10.1093/geronb/gbab092.
Toth M, Palmer LAMartin, Bercaw LE, Voltmer H, Karon S. TRENDS IN THE USE OF RESIDENTIAL SETTINGS AMONG OLDER ADULTS ISSUE BRIEF. Washington, D.C.: U.S. Department of Health and Human Services, Office of the Assistant Secretary for Planning and Evaluation Office of Disability, Aging and Long-Term Care Policy; 2020.