HRS Bibliography

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Armour P, Knapp D. The Consequences of Claiming Social Security Benefits at Age 62.
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.
Vonk JMJ, Gross AL, Zammit AR, et al. Cross-national harmonization of cognitive measures across HRS HCAP (USA) and LASI-DAD (India). PLoS One. 2022;17(2):e0264166. doi:10.1371/journal.pone.0264166.
Kim S, Sargent-Cox KA, French DJ, Kendig H, Anstey KJ. Cross-national insights into the relationship between wealth and wellbeing: a comparison between Australia, the United States of America and South Korea. Ageing and Society. 2012;32(1):41.
Kim S, Sargent-Cox KA, French DJ, Kendig H, Anstey KJ. Cross-national insights into the relationship between wealth and wellbeing: a comparison between Australia, the United States of America and South Korea. Ageing and Society. 2012;32(1):41.
Kapinos K, Brown C, Nolte MA, Stolyarova H, Weir DR. Cross-Wave Prospective Social Security Wealth Measures of Pre-Retirees, Public Release: Data Description and Usage. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2009.PDF icon Download PDF (341.05 KB)