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
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.
Airaksinen J, Gluschkoff K, Kivimäki M, Jokela M. Connectivity of depression symptoms before and after diagnosis of a chronic disease: A network analysis in the U.S. Health and Retirement Study. Journal of Affective Disorders. 2020;266:230 - 234. doi:https://doi.org/10.1016/j.jad.2020.01.170.
Armour P, Knapp D. The Consequences of Claiming Social Security Benefits at Age 62.
Armour P, Knapp D. The Consequences of Claiming Social Security Benefits at Age 62. Washington, D.C.: AARP Public Policy Institute; 2021. doi:10.26419/ppi.00134.001.
Kail BLennox. Considering the impact of U.S. social policy retirement benefits on later life labor force participation. 2010;Ph.D.(AAT 3462314):156.
Akushevich I, Yashkin A, Ukraintseva S, Yashin AI, Kravchenko J. The Construction of a Multidomain Risk Model of Alzheimer's Disease and Related Dementias. Journal of Alzheimer's Disease : JAD. 2023;96(2):535-550. doi:10.3233/JAD-221292.
Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption behavior, annuity income and mortality risk of retirees. (Netherlands) Economist. 2017;165(3):349-380. doi:10.1007/s10645-017-9301-z.
Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption behavior, annuity income and mortality risk of retirees. (Netherlands) Economist. 2017;165(3):349-380. doi:10.1007/s10645-017-9301-z.
Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption Behavior, Annuity Income and Mortality Risk of the Elderly. Tilburg, The Netherlands, Netspar; 2014.
Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption Behavior, Annuity Income and Mortality Risk of the Elderly. Tilburg, The Netherlands, Netspar; 2014.
Wilkinson LR, Ferraro KF, Kemp BR. Contextualization of Survey Data: What Do We Gain and Does It Matter?. Research in Human Development. 2017;14(3):234-252. doi:10.1080/15427609.2017.1340049.
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.
Kaufman J, Gallo WT, Fahs MC. The contribution of dementia to the disparity in family wealth between black and non-black Americans. Ageing and Society. 2020;40(2):306-327. doi:10.1017/S0144686X18000934.
Kim J, Chun S, Heo J, Lee S, Han A. Contribution of Leisure-Time Physical Activity on Psychological Benefits Among Elderly Immigrants. Applied Research in Quality of Life. 2014;11(2):461-470.
Marden JR, Tchetgen Tchetgen EJ, Kawachi I, M. Glymour M. Contribution of socioeconomic status at three lifecourse periods to late life memory function and decline: Early and late predictors of dementia risk. American Journal of Epidemiology. 2017;186(7):805-814. doi:10.1093/aje/kwx155.
http://www.ncbi.nlm.nih.gov/pubmed/28541410?dopt=Abstract
Qin W, Kalesnikava V, Dang L, et al. Coordinated Care Experiences Among Middle-Aged and Older Adults with Multiple Chronic Conditions: Characteristics, Correlates, and Consequences for Health and Healthcare Utilization. The Gerontologist. Forthcoming. doi:10.1093/geront/gnae024.
Kashdan T. Correcting Misconceptions About Loneliness.
Wang K, Kubanga K. Correlates of internet use among African American older adults: Gender and age differences. International Journal of Population Studies. 2020;6(2):26-38. doi:10.18063/ijps.v6i2.1226.
Nandi A, Counts N, Bröker J, et al. Cost of care for Alzheimer's disease and related dementias in the United States: 2016 to 2060. NPJ Aging. 2024;10(1):13. doi:10.1038/s41514-024-00136-6.
Sevilla JP, Klusty JM, Song Y, et al. Cost-utility and cost-benefit analysis of TAVR availability in the US severe symptomatic aortic stenosis patient population. Journal of Medical Economics. 2022;25(1):1051-1060. doi:10.1080/13696998.2022.2112442.
Kail BLennox. Coverage or costs: the role of health insurance in labor market reentry among early retirees. J Gerontol B Psychol Sci Soc Sci. 2012;67(1):113-20. doi:10.1093/geronb/gbr130.
http://www.ncbi.nlm.nih.gov/pubmed/22156628?dopt=Abstract
Calvo E, Allel K, Staudinger UM, Castillo-Carniglia A, Medina JT, Keyes KM. Cross-country differences in age trends in alcohol consumption among older adults: a cross-sectional study of individuals aged 50 years and older in 22 countries. Addiction. 2021;116(6):1399-1412. doi:10.1111/add.15292.