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
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
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.
Falba T. Consequences of Health Events: Economics and Behavioral Outcomes in the Health and Retirement Study. 2000.
Ware EB, Faul J, Mitchell C, Bakulski KM. Considering the APOE locus in Alzheimer's disease polygenic scores in the Health and Retirement Study: a longitudinal panel study. BMC Medical Genomics. 2020;13(1):164. doi:10.1186/s12920-020-00815-9.
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.
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.
Li X, Freed MC, McCutchan PK. Correction of Retransformation Bias in Nonlinear Predictions on Longitudinal Data with Generalized Linear Mixed Models. Journal of Biometrics & Biostatistics. 2015;06(01). doi:10.4172/2155-618010.4172/2155-6180.1000235.
Farmer HR, Tobin CSThomas, Thorpe, Jr. RJ. Correlates of Elevated C-Reactive Protein among Black Older Adults: Evidence from the Health and Retirement Study. The Journals of Gerontology, Series B . 2022;77(11):1964-1977. doi:10.1093/geronb/gbac033.
Feinglass J, Song J, Manheim LM, Semanik P, Chang RW, Dunlop DD. Correlates of improvement in walking ability in older persons in the United States. Am J Public Health. 2009;99(3):533-9. doi:10.2105/AJPH.2008.142927.
http://www.ncbi.nlm.nih.gov/pubmed/19106418?dopt=Abstract
Joo H, Dunet DO, Fang J, Wang G. Cost of informal caregiving associated with stroke among the elderly in the United States. Neurology. 2014;83(20):1831-1837.
Joo H, Fang J, Losby JL, Wang G. Cost of informal caregiving for patients with heart failure. Am Heart J. 2015;169(1):142-48.e2. doi:10.1016/j.ahj.2014.10.010.
http://www.ncbi.nlm.nih.gov/pubmed/25497259?dopt=Abstract
Falba T, McClellan M. The Costs of Illness in Middle Age. NBER; 1998.
De Nardi M, French E, Jones JBailey. Couples' and Singles' Savings after Retirement. SSRN Electronic Journal. 2015. doi:10.2139/ssrn.2664111.
Vivek S, Nelson HHammond, Prizment A, Faul J, Crimmins EM, Thyagarajan B. Cross sectional association between cytomegalovirus seropositivity, inflammation and cognitive impairment in elderly cancer survivors. Cancer Causes & Control. 2022;33(1):81-90. doi:https://doi.org/10.1007/s10552-021-01504-3.
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.
Canada B, Stephan Y, Fundenberger H, Sutin AR, Terracciano A. Cross-sectional and prospective association between personality traits and IADL/ADL limitations. Psychology and Aging. 2021;36(3):309-321. doi:10.1037/pag0000502.
Bakulski KM, Vadari HS, Faul J, et al. Cumulative Genetic Risk and APOE ε4 Are Independently Associated With Dementia Status in a Multiethnic, Population-Based Cohort. Neurology Genetics. 2021;7(2):e576. doi:10.1212/NXG.0000000000000576.