HRS Bibliography

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Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Holden KC, Kuo HH. Complex marital histories and economic well-being: the continuing legacy of divorce and widowhood as the HRS cohort approaches retirement. Gerontologist. 1996;36(3):383-90. doi:10.1093/geront/36.3.383.
http://www.ncbi.nlm.nih.gov/pubmed/8682336?dopt=Abstract
Warner DF, Koroukian SM, Schiltz NK, et al. Complex multimorbidity and breast cancer screening among midlife and older women: The role of perceived need. The Gerontologist. 2019;59(Supplement_1):S77 - S87. doi:10.1093/geront/gny180.
Warner DF, Schiltz NK, Stange KC, et al. Complex multimorbidity and health outcomes in older adult cancer survivors . Family Medicine and Community Health. 2017;5(2):129-138. doi:10.15212/FMCH.2017.0127.
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. Washington, D.C.: AARP Public Policy Institute; 2021. doi:10.26419/ppi.00134.001.
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.