HRS Bibliography

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Journal Article

Yu Y-L, Juster R-P. Spousal synchrony in allostatic load among older couples in the Health and Retirement Study. Psychosom Med. 2023. doi:10.1097/PSY.0000000000001232.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study. BMJ. 2018;360:k1046. doi:10.1136/bmj.k1046.
Joyce GF, Goldman DP, Leibowitz AA, Alpert A, Bao Y. A socioeconomic profile of older adults with HIV. J Health Care Poor Underserved. 2005;16(1):19-28. doi:10.1353/hpu.2005.0013.
http://www.ncbi.nlm.nih.gov/pubmed/15741706?dopt=Abstract
Shaw JG, Farid M, Noël-Miller C, et al. Social Isolation and Medicare Spending: Among Older Adults, Objective Isolation Increases Expenditures While Loneliness Does Not. Journal of Aging and Health. 2017;29(7):1119-1143. doi:10.1177/0898264317703559.
Shah SJ, Oreper S, Jeon SYoung, W Boscardin J, Fang MC, Covinsky KE. Social Frailty Index: Development and validation of an index of social attributes predictive of mortality in older adults. Proc Natl Acad Sci U S A. 2023;120(7):e2209414120. doi:10.1073/pnas.2209414120.
Kuhler C, Wills C, Tubbs A, et al. Sleep Disorders as a Potential Risk Factor for Dementia in Elderly Adults. Sleep. 2022;45(Suppl _1):A123. doi:10.1093/sleep/zsac079.271.
Robbins R, Sonnega A, Turner RW, et al. Sleep Difficulties and Cognition over a 10-Year Period in a National Sample of U.S. Older Adults. Innovation in Aging. 2020. doi:10.1093/geroni/igaa025.
Liang J, Le TH, Edwards DRVelez, et al. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations. PLoS Genetics. 2017;13(5):e1006728. doi:10.1371/journal.pgen.1006728.
Liang J, Le TH, Edwards DRVelez, et al. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations. PLoS Genetics. 2017;13(5):e1006728. doi:10.1371/journal.pgen.1006728.
Smith JR, Gibbons LE, Crane PK, et al. Shifting of Cognitive Assessments Between Face-to-Face and Telephone Administration: Measurement Considerations. The Journals of Gerontology, Series B. 2023;78(2):191-200. doi:10.1093/geronb/gbac135.
Bako AT, Potter T, Tannous J, et al. Sex differences in post-stroke cognitive decline: A population-based longitudinal study of nationally representative data. PLoS One. 2022;17(5):e0268249. doi:10.1371/journal.pone.0268249.
Jin Y, Hong C, Luo Y. Sex differences in cognitive aging and the role of socioeconomic status: Evidence from multi-cohort studies. Psychiatry Res. 2023;321:115049. doi:10.1016/j.psychres.2023.115049.
Wang L, Jiang Y, He Z. A semiparametric alternative to the Heckman correction: application with left-censored data on parental transfers. Empirical Economics. 2023. doi:10.1007/s00181-023-02507-6.
Bardenheier BH, Resnik L, Jutkowitz E, Gravenstein S. Self-reported measures of limitation in physical function in late midlife are associated with incident Alzheimer's disease and related dementias. Aging Clinical and Experimental Research. 2022;34(8):1845-1854. doi:10.1007/s40520-022-02132-w.
Johnson NE. Self-rated health and the "first move" around retirement: a longitudinal study of older Americans. J Rural Health. 2012;28(2):183-91. doi:10.1111/j.1748-0361.2011.00388.x.
http://www.ncbi.nlm.nih.gov/pubmed/22458319?dopt=Abstract
De Nardi M, French E, Jones JBailey. Savings After Retirement: A Survey. Annual Review of Economics. 2016;8(1):177 - 204. doi:10.1146/annurev-economics-080315-015127.
Hong C, Liu Z, Liu Y, Jin Y, Luo Y. The role of smoking, obesity and physical inactivity in cognitive performance and decline: a multi-cohort study. The Journals of Gerontology, Series A, Biological Sciences and Medical Sciences. Forthcoming. doi:10.1093/gerona/glad232.
Jao NC, Martinez-Cardoso A, Vahora M, Tan MM. The role of smoking history in longitudinal changes in C-reactive protein between Black and White older adults in the US. Preventive Medicine Reports. 2022;28:101885. doi:https://doi.org/10.1016/j.pmedr.2022.101885.
Long KNG, Kim ES, Chen Y, Wilson MF, Jr. ELWorthin, VanderWeele TJ. The role of Hope in subsequent health and well-being for older adults: An outcome-wide longitudinal approach. Global Epidemiology . 2020;2:100018. doi:https://doi.org/10.1016/j.gloepi.2020.100018.