HRS Bibliography

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Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. J Alzheimers Dis. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
http://www.ncbi.nlm.nih.gov/pubmed/25690665?dopt=Abstract
Coe NB, Skira MM, Larson EB. A Comprehensive Measure of the Costs of Caring for a Parent: Differences According to Functional Status. Journal of the American Geriatrics Society. 2018;66(10):2003 - 2008. doi:10.1111/jgs.15552.
Lee AK, L Diaz-Ramirez G, W Boscardin J, Smith AK, Lee SJ. A comprehensive prognostic tool for older adults: Predicting death, ADL disability, and walking disability simultaneously. Journal of the American Geriatrics Society. Forthcoming. doi:10.1111/jgs.17932.
Love DA, Schmidt L. The Comprehensive Wealth of Immigrants and Natives. In: 17th Annual Joint Meeting of the Retirement Research Consortium. 17th Annual Joint Meeting of the Retirement Research Consortium. Washington, DC: NBER; 2015.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Mejia ST, Giasson HL, Smith J, Gonzalez R. Concurrent and enduring associations between married partners' shared beliefs and markers of aging. Psychology and Aging. 2020;35(7):925-936. doi:10.1037/pag0000515.
Ayanian JZ, Covinsky KE, Landon BE, McCarthy EP, Wee CC, Steinman MA. Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources. Journal of General Internal Medicine. 2011;26(8):920-929. doi:10.1007/s11606-010-1621-5.
Smith JP. Consequences and Predictors of New Health Events. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005.
Shnayder MM, Montgomery JR, Abrahamse P, Suwanabol PA. Considering self-reported baseline function and cognition in predicting post-operative complications among older adults. Annals of palliative medicine. 2020. doi:10.21037/apm-20-816.
Shnayder MM, Montgomery JR, Abrahamse P, Suwanabol PA. Considering self-reported baseline function and cognition in predicting post-operative complications among older adults. Annals of palliative medicine. 2020. doi:10.21037/apm-20-816.
Park SS, Pratt B, Pebley AR, et al. Constructing a Work History Dataset of Jobs Held During Early and Middle Adulthood Using the Health and Retirement Study. Los Angeles, CA: UCLA: California Center for Population Research ; 2022.
Mitchell OS, Olson J, Steinmeier TL. Construction of the Earnings and Benefits File (EBF) for Use With the Health and Retirement Survey. National Bureau of Economic Research; 1996. doi:10.3386/w5707.
Mitchell OS, Olson J, Steinmeier TL. Construction of the Earnings and Benefits File (EBF) for Use with the Health and Retirement Study. University of Pennsylvania; 1996.
Note - An updated and revised version of this paper is available in Forecasting Retirement Needs and Retirement Wealth, Olivia S. Mitchell, P. Brett Hammond and Anna M. Rappaport, eds., Philadelphia: University of Pennsylvania Press, 2000. See Chapter 13, "Social Security Earnings and Projected Benefits"
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Laitner J, Silverman DS. Consumption, Retirement, and Social Security: Evaluating the Efficiency of Reform with a Life-Cycle Model. The University of Michigan, Michigan Retirement Research Center; 2006.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Zacher M, Wang J, Short SE. The contributions of hypertension diagnosis and blood pressure control to subjective life expectancy in a representative sample of older U.S. adults. The Journals of Gerontology: Series B. 2022;77(2):378-388. doi:10.1093/geronb/gbab022.
Yannatos I, Stites S, Brown RT, McMillan CT. Contributions of neighborhood social environment and air pollution exposure to Black-White disparities in epigenetic aging. PLoS One. 2023;18(7):e0287112. doi:10.1371/journal.pone.0287112.
Seltzer JA, Bianchi SM, McGarry K, Yahirun JJ. Co-residence and Geographic Proximity of Mothers and Adult Children in Intact and Step Families. UCLA; 2011.
Seltzer JA, Yahirun JJ, Bianchi SM. Coresidence and Geographic Proximity of Mothers and Adult Children in Stepfamilies. Journal of Marriage and Family. 2013;75(5):1164-1180.
Wang Y, Shen H, Wong R, Amano T. CORRELATES AND HEALTH OUTCOMES OF LONG-TERM VOLUNTEERING: EVIDENCE FROM 16 YEARS OF THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2018;2:331-331. doi:10.1093/geroni/igy023.1211.