HRS Bibliography

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Turvey CL, Carney C, Arndt S, Wallace RB, Herzog AR. Conjugal loss and syndromal depression in a sample of elders aged 70 years or older. Am J Psychiatry. 1999;156(10):1596-601. doi:10.1176/ajp.156.10.1596.
http://www.ncbi.nlm.nih.gov/pubmed/10518172?dopt=Abstract
Hill PL, Weston SJ, Jackson JJ. Connecting Social Environment Variables to the Onset of Major Specific Health Outcomes. Psychology and Health. 2014;29(7):753-767. doi:10.1080/08870446.2014.884221.
Smith JP. Consequences and Predictors of New Health Events. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005.
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.
Wan X, Lighthall NR, Xie R. Consistent and robust predictors of Internet Use among older adults over time identified by machine learning. Computers in Human Behavior. 2022;137:107413. doi:https://doi.org/10.1016/j.chb.2022.107413.
Hong G-S, White-Means SI. Consumer Preferences for Health Care Reform Options. Journal of Consumer Affairs. 1999;33(2):237-53.
Hurd MD, McFadden D, Chand H, Gan L, Merrill A, Roberts MEwing. Consumption and Saving Balances of the Elderly: Experimental Evidence on Survey Response Bias. In: Wise DA, ed. Frontiers in the Economics of Aging. Frontiers in the Economics of Aging. Chicago: Univ. of Chicago Press; 1998:353-387.
Levine ME, Crimmins EM, Weir DR, Cole SW. Contemporaneous Social Environment and the Architecture of Late-Life Gene Expression Profiles. American Journal of Epidemiology. 2017;186(5):503-509. doi:10.1093/aje/kwx147.
http://www.ncbi.nlm.nih.gov/pubmed/28911009?dopt=Abstract
McArdle JJ. Contemporary Challenges of Longitudinal Measurement Using HRS Data. In: Walford G, Tucker E, Viswanathan M, eds. The Sage Handbook of Measurement. The Sage Handbook of Measurement. London: Sage Publications; 2009. doi:https://dx.doi.org/10.4135/9781446268230.n26.
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.
Wolinsky FD, Bentler SE, Liu L, et al. Continuity of care with a primary care physician and mortality in older adults. J Gerontol A Biol Sci Med Sci. 2010;65(4):421-8. doi:10.1093/gerona/glp188.
http://www.ncbi.nlm.nih.gov/pubmed/19995831?dopt=Abstract
Wolinsky FD, Bentler SE, Liu L, et al. Continuity of care with a primary care physician and mortality in older adults. J Gerontol A Biol Sci Med Sci. 2010;65(4):421-8. doi:10.1093/gerona/glp188.
http://www.ncbi.nlm.nih.gov/pubmed/19995831?dopt=Abstract
Wolinsky FD, Bentler SE, Liu L, et al. Continuity of care with a primary care physician and mortality in older adults. J Gerontol A Biol Sci Med Sci. 2010;65(4):421-8. doi:10.1093/gerona/glp188.
http://www.ncbi.nlm.nih.gov/pubmed/19995831?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.
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.
Weiss J. Contribution of socioeconomic, lifestyle, and medical risk factors to disparities in dementia and mortality. SSM - Population Health. 2021;16:100979. doi:10.1016/j.ssmph.2021.100979.
Zacher M, Wang J, Short SE. The contributions of hypertension diagnosis and blood pressure control to subjective life expectancy in a representative sample of older U.S. adults. The Journals of Gerontology: Series B. 2022;77(2):378-388. doi:10.1093/geronb/gbab022.
Wang Y, Shen H, Wong R, Amano T. CORRELATES AND HEALTH OUTCOMES OF LONG-TERM VOLUNTEERING: EVIDENCE FROM 16 YEARS OF THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2018;2:331-331. doi:10.1093/geroni/igy023.1211.
Wang Y, Shen H, Wong R, Amano T. CORRELATES AND HEALTH OUTCOMES OF LONG-TERM VOLUNTEERING: EVIDENCE FROM 16 YEARS OF THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2018;2:331-331. doi:10.1093/geroni/igy023.1211.
Wang K, Kubanga K. Correlates of internet use among African American older adults: Gender and age differences. International Journal of Population Studies. 2020;6(2):26-38. doi:10.18063/ijps.v6i2.1226.
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