HRS Bibliography

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Hong I, Reistetter TA, Díaz-Venegas C, Michaels-Obregon A, Wong R. Cross-national health comparisons using the Rasch model: findings from the 2012 US Health and Retirement Study and the 2012 Mexican Health and Aging Study. Quality of Life Research. 2018;27(9):2431-2441.
Rehkopf D, Rosero-Bixby L, Dow WH. A cross-national comparison of 12 biomarkers finds no universal biomarkers of aging among individuals aged 60 and older. Lutz W, ed. Vienna Yearbook of Population Research. 2017;1:255-277. doi:10.1553/populationyearbook10.1553/populationyearbook201610.1553/populationyearbook2016s255.
De Nardi M, French E, Jones JBailey. Couples' and Singles' Savings after Retirement. SSRN Electronic Journal. 2015. doi:10.2139/ssrn.2664111.
Dunlop DD, Manheim LM, Yelin E, Song J, Chang RW. The Costs of Arthritis. Arthritis and Rheumatism. 2003;49(1):101-113. doi:10.1002/art.10913.
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.
Doyle C, Andel R, Saenz J, Crowe M. Correlates of SuperAging in Two Population-Based Samples of Hispanic Older Adults. Journal of Applied Gerontology, Series B, Psychological Sciences and social sciences. Forthcoming. doi:10.1093/geronb/gbae058.
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
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.
Duan-Porter W, Hastings SNicole, Neelon B, Van Houtven CHarold. Control Beliefs and Risk for Death, Stroke and Myocardial Infarction in Middle-aged and Older Adults: An Observational Study. J Gen Intern Med. 2015;30(8):1156-63. doi:10.1007/s11606-015-3275-9.
http://www.ncbi.nlm.nih.gov/pubmed/25792069?dopt=Abstract
Duan-Porter W, Hastings SNicole, Neelon B, Van Houtven CHarold. Control beliefs and risk for 4-year mortality in older adults: a prospective cohort study. BMC Geriatr. 2017;17(1):13. doi:10.1186/s12877-016-0390-3.
http://www.ncbi.nlm.nih.gov/pubmed/28077089?dopt=Abstract
Pare G, Asma S, Deng WQ. Contribution of large region joint associations to complex traits genetics. PLoS Genet. 2015;11(4):e1005103. doi:10.1371/journal.pgen.1005103.
http://www.ncbi.nlm.nih.gov/pubmed/25856144?dopt=Abstract
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.
Divani AA, Majidi S, Barrett AM, Noorbaloochi S, Luft AR. Consequences of stroke in community-dwelling elderly: the health and retirement study, 1998 to 2008. Stroke. 2011;42(7):1821-5. doi:10.1161/STROKEAHA.110.607630.
http://www.ncbi.nlm.nih.gov/pubmed/21597018?dopt=Abstract
Dey R, M. Islam A. A conditional count model for repeated count data and its application to GEE approach. Statistical Papers. 2017;58(2):485-504. doi:10.1007/s00362-015-0708-9.
Lee AK, L Diaz-Ramirez G, W Boscardin J, Smith AK, Lee SJ. A comprehensive prognostic tool for older adults: Predicting death, ADL disability, and walking disability simultaneously. Journal of the American Geriatrics Society. Forthcoming. doi:10.1111/jgs.17932.
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
Dominitz J. A Comparison of Subjective Expectations Elicitation Methods in the HRS, PSID, and SEE. University of Michigan; 1996.
Bloomberg M, Dugravot A, Sommerlad A, Kivimäki M, Singh-Manoux A, Sabia S. Comparison of sex differences in cognitive function in older adults between high- and middle-income countries and the role of education: a population-based multicohort study. Age Ageing. 2023;52(2). doi:10.1093/ageing/afad019.
http://www.ncbi.nlm.nih.gov/pubmed/36821646?dopt=Abstract
Zhang B, Weuve J, Langa KM, et al. Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US. JAMA Intern Med. 2023. doi:10.1001/jamainternmed.2023.3300.
Zhang B, Weuve J, Langa KM, et al. Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US. JAMA Intern Med. 2023. doi:10.1001/jamainternmed.2023.3300.
O'Shea DM, Alaimo H, Davis JD, Galvin JE, Tremont G. A comparison of cognitive performances based on differing rates of DNA methylation GrimAge acceleration among older men and women. Neurobiology & Aging. 2023;123:83-91. doi:10.1016/j.neurobiolaging.2022.12.011.
Verma C, Zhang M, Li M, Bergren S, Dong XQ. A Comparison of Cognitive Function in Pine Study to Health and Retirement Study & CHARLS Study. Innovation in Aging. 2020;4(Suppl 1):924. doi:10.1093/geroni/igaa057.3390.