HRS Bibliography

Bibliography Search
Export 604 results:
Filters: First Letter Of Last Name is V  [Clear All Filters]

E

Weir DR. Elastic Powers: The Integration of Biomarkers into the Health and Retirement Study. In: Weinstein M, Vaupel JW, Wachter KW, eds. Bio-Social Surveys: Current insight and future promise. Bio-Social Surveys: Current insight and future promise. Washington, DC: The National Academies Press; 2007:78-95.
Parker K, Vincent B, Rhee Y, et al. The estimated prevalence of no reported dementia-related diagnosis in older Americans living with possible dementia by healthcare utilization. Aging Clinical and Experimental Research. 2022;34(2):359-365. doi:10.1007/s40520-021-01980-2.
Zhivan NA, Ang A, Amaro H, Vega WA, Markides KS. Ethnic/race differences in the attrition of older American survey respondents: implications for health-related research. Health Serv Res. 2012;47(1 Pt 1):241-54. doi:10.1111/j.1475-6773.2011.01322.x.
http://www.ncbi.nlm.nih.gov/pubmed/22091976?dopt=Abstract
Papachristos A, Verropoulou G. On the Evaluation of ‘Self-perceived Age’ for Europeans and Americans. In: Skiadas CH, Skiadas C, eds. Demography of Population Health, Aging and Health Expenditures. Demography of Population Health, Aging and Health Expenditures. New York: Springer International Publishing; 2020:235 - 248. doi:https://doi.org/10.1007/978-3-030-44695-6_16.
Ramasubramanian R, Meier HCS, Vivek S, et al. Evaluation of T-cell aging-related immune phenotypes in the context of biological aging and multimorbidity in the Health and Retirement Study. Immunity & Ageing. 2022;19(1):33. doi:10.1186/s12979-022-00290-z.
Vimaleswaran KSanthanakr, Zhou A, Cavadino A, Hyppönen E. Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals. International Journal of Obesity. 2021;45(8):1751-1762. doi:10.1038/s41366-021-00841-2.
von Bonsdorff ME, Zhan Y, Song Y, Wang M. Examining bridge employment from a self-employment perspective—evidence from the Health and Retirement Study. Work, Aging and Retirement. 2017;3(3):298-312. doi:10.1093/workar/wax012.
Vaughn IA, Marlow NM, Sonawane K, Fillingim RB, Beyth RJ. EXAMINING LONGITUDINAL HEALTHCARE UTILIZATION, OUTCOMES, AND SATISFACTION IN PRE-FRAIL OLDER ADULTS. Innovation in Aging. 2019;3:S689-S690. doi:10.1093/geroni/igz038.2541.
Brazel DM, Jiang Y, Hughey JM, et al. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biological Psychiatry. 2019;85(11):946-955. doi:10.1016/j.biopsych.2018.11.024.
Brazel DM, Jiang Y, Hughey JM, et al. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biological Psychiatry. 2019;85(11):946-955. doi:10.1016/j.biopsych.2018.11.024.
Yamashita T, Punksungka W, Van Vleet S, Helsinger A, Cummins P. Experiences of Older Adults During the 2020 COVID-19 Pandemic in the United States: An Initial Exploration of Nationally Representative Data at the Intersection of Gender and Race. Journal of Applied Gerontology. 2022;41(619-627). doi:https://doi.org/10.1177/07334648211048258.
Langa KM, Valenstein MA, A. Fendrick M, Kabeto MU, Vijan S. Extent and cost of informal caregiving for older Americans with symptoms of depression. Am J Psychiatry. 2004;161(5):857-63. doi:10.1176/appi.ajp.161.5.857.
http://www.ncbi.nlm.nih.gov/pubmed/15121651?dopt=Abstract
Langa KM, Valenstein MA, A. Fendrick M, Kabeto MU, Vijan S. Extent and cost of informal caregiving for older Americans with symptoms of depression. Am J Psychiatry. 2004;161(5):857-63. doi:10.1176/appi.ajp.161.5.857.
http://www.ncbi.nlm.nih.gov/pubmed/15121651?dopt=Abstract

F

Cagnone S, Viroli C. A factor mixture model for analyzing heterogeneity and cognitive structure of dementia. AStA Advances in Statistical Analysis. 2014;98(1):1.
Patterson SE, Margolis R, Verdery AM. Family embeddedness and older adult mortality in the United States. Population Studies. 2020;74(3):415-435. doi:10.1080/00324728.2020.1817529.
Poterba JM, Venti SF, Wise DA. Family Status Transitions, Latent Health, and the Post-Retirement Evolution of Assets. Cambridge, MA: National Bureau of Economic Research; 2010. doi:10.3386/w15789.
Henretta JC, Wolf DA, Van Voorhis MF, Soldo BJ. Family structure and the reproduction of inequality: Parents' contribution to children's college costs. Soc Sci Res. 2012;41(4):876-87. doi:10.1016/j.ssresearch.2012.02.008.
http://www.ncbi.nlm.nih.gov/pubmed/23017857?dopt=Abstract
Ramanan VK, Nho K, Shen L, et al. FASTKD2 is associated with memory and hippocampal structure in older adults. Mol Psychiatry. 2015;20(10):1197-204. doi:10.1038/mp.2014.142.
http://www.ncbi.nlm.nih.gov/pubmed/25385369?dopt=Abstract
Vogelsang EM. Feeling Better at This Age? Investigating Three Explanations for Self-Rated Health Improvements Among the Oldest-Old. The Gerontologist. 2018;58(5):825-834. doi:10.1093/geront/gnx149.
Goldman DP, Michaud P-C, Lakdawalla D, Zheng Y, Gailey A, Vaynman I. The fiscal consequences of trends in population health.(Forum: America's Looming Fiscal Crisis). National Tax Journal. 2010;63(2):307-330. doi:10.2307/41791016.
Suwanabol PA, Li Y, Abrahamse P, et al. Functional and Cognitive Decline Among Older Adults After High-risk Surgery. Annals of Surgery. 2022;275(1):e132-e139. doi:10.1097/SLA.0000000000003950.
van Zon SKR, Bültmann U, Reijneveld SA, de Leon CFMendes. Functional health decline before and after retirement: A longitudinal analysis of the Health and Retirement Study. Soc Sci Med. 2016;170:26-34. doi:10.1016/j.socscimed.2016.10.002.
http://www.ncbi.nlm.nih.gov/pubmed/27741444?dopt=Abstract

G

Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.