HRS Bibliography

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Luchetti M, Barkley JM, Stephan Y, Terracciano A, Sutin AR. Five-factor model personality traits and inflammatory markers: new data and a meta-analysis. Psychoneuroendocrinology. 2014;50:181-93. doi:10.1016/j.psyneuen.2014.08.014.
http://www.ncbi.nlm.nih.gov/pubmed/25233337?dopt=Abstract
Brostow DP, Gunzburger E, Thomas KS. Food insecurity among veterans: Findings from the Health and Retirement study. The Journal of Nutrition, Health & Aging. 2017;21(10):1358-1364. doi:10.1007/s12603-017-0910-7.
Tamargo JA, Cruz-Almeida Y. Food insecurity and epigenetic aging in middle-aged and older adults. social science & medicine (1982). 2024;350:116949. doi:10.1016/j.socscimed.2024.116949.
Hurd MD, Rohwedder S. Forecasting Employment of the Older Population . In: Berkman LF, Truesdale BC, eds. Overtime: America's Aging Workforce and the Future of Working Longer. Overtime: America's Aging Workforce and the Future of Working Longer. Oxford University Press; 2022:155-174. doi:10.1093/oso/9780197512067.003.0008.
Chapel JM, Tysinger B, Goldman DP, Rowe JW. The Forgotten Middle: Worsening Health And Economic Trends Extend To Americans With Modest Resources Nearing Retirement. Health Affairs. 2023;42(9):1230-1240. doi:10.1377/hlthaff.2023.00134.
Taylor, Jr. DH, Sloan FA, Norton EC. Formation of Trusts and Spend Down to Medicaid. The Journals of Gerontology: Social Sciences. 1999;54B(4):S194-201.
Mekli K, Stevens A, Marshall A, et al. Frailty Index associates with GRIN2B in two representative samples from the United States and the United Kingdom. PLoS One. 2018;13(11):e0207824. doi:10.1371/journal.pone.0207824.
Travers JL, Shippee TP, Flatt JD, Caceres BA. Functional Limitations and Access to Long-Term Services and Supports Among Sexual Minority Older Adults. Journal of Applied Gerontology. 2022;41(9):2056-2062. doi:10.1177/07334648221099006.
Torres JM, M. Glymour M. Future Directions for the HRS Harmonized Cognitive Assessment Protocol. Forum for Health Economics and Policy. 2022. doi:10.1515/fhep-2021-0064.
W. Torres J, M. Glymour M. Future Directions for the HRS Harmonized Cognitive Assessment Protocol. 2021.PDF icon Download PDF (341.42 KB)

G

Garcia MA, Tarraf W, Reyes AM, Chiu C-T. Gender, Age of Migration, and Cognitive Life Expectancies among Older Latinos: Evidence from the Health and Retirement Study. The Journals of Gerontology, Series B . 2022;77(12):e226-e233. doi:10.1093/geronb/gbac133.
Mudrazija S, Thomeer MBeth, Angel JL. Gender Differences in Institutional Long-Term Care Transitions. Womens Health Issues. 2015;25(5):441-9. doi:10.1016/j.whi.2015.04.010.
http://www.ncbi.nlm.nih.gov/pubmed/26123639?dopt=Abstract
Tiedt AD. The gender gap in depressive symptoms among elders in the United States and Japan: Social support, coresidence and somatic health as mediating factors. 2011;Ph.D.:192.
Sheehan CM, Tucker-Drob EM. Gendered Expectations Distort Male-Female Differences in Instrumental Activities of Daily Living in Later Adulthood. JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES. 2019;74:715-723. doi:10.1093/geronb/gbw209.
Chi DL, Tucker-Seeley RD. Gender-stratified models to examine the relationship between financial hardship and self-reported oral health for older US men and women. American journal of public health. 2013;103(8):1507-15. doi:10.2105/ajph.2012.301145.
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.