HRS Bibliography

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Journal Article

Wilkinson R, Nakamura JS, Kim ES, VanderWeele TJ. Social support and social strain from children and subsequent health and well-being among older U.S. adults. Journal of Social and Personal Relationships. 2023:02654075231164900. doi:10.1177/02654075231164900.
Kim Y, Vazquez C, Cubbin C. Socioeconomic disparities in health outcomes in the United States in the late 2010s: results from four national population-based studies. Arch Public Health. 2023;81(1):15. doi:10.1186/s13690-023-01026-1.
http://www.ncbi.nlm.nih.gov/pubmed/36739440?dopt=Abstract
Zaninotto P, G Batty D, Stenholm S, et al. Socioeconomic Inequalities in Disability-free Life Expectancy in Older People from England and the United States: A Cross-national Population-Based Study. The Journals of Gerontology: Series A. 2020;75(5):906-913. doi:10.1093/gerona/glz266.
Shaw BA, McGeever K, Vasquez E, Agahi N, Fors S. Socioeconomic inequalities in health after age 50: Are health risk behaviors to blame?. Social Science and Medicine. 2014;101:52-60. doi:10.1016/j.socscimed.2013.10.040.
Avila-Rieger J, Turney IC, Vonk JMJ, et al. Socioeconomic Status, Biological Aging, and Memory in a Diverse National Sample of Older US Men and Women. Neurology. 2022;99(19):e2114-e2124. doi:10.1212/WNL.0000000000201032.
Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study. BMJ. 2018;360:k1046. doi:10.1136/bmj.k1046.
Demirkan A, Lahti J, Direk N, et al. Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies. Psychol Med. 2016;46(8):1613-23. doi:10.1017/S0033291715002081.
http://www.ncbi.nlm.nih.gov/pubmed/26997408?dopt=Abstract
Demirkan A, Lahti J, Direk N, et al. Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies. Psychol Med. 2016;46(8):1613-23. doi:10.1017/S0033291715002081.
http://www.ncbi.nlm.nih.gov/pubmed/26997408?dopt=Abstract
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.
Varghese JSam, Lu P, Choi D, et al. Spousal Concordance of Hypertension Among Middle-Aged and Older Heterosexual Couples Around the World: Evidence From Studies of Aging in the United States, England, China, and India. Journal of the American Heart Association. 2023. doi:10.1161/JAHA.123.030765.
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.
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.