HRS Bibliography

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Wallace GL, Haveman R, Holden KC, Wolfe B. Trigger Events and Financial Outcomes Among Older Households. Madison, WI: Center for Financial Security, University of Wisconsin-Madison; 2010.
Wallace RB, Nichols S, Hurd MD. The Association of Influenza Vaccine Receipt with Health and Economic Expectations among Elders: The AHEAD Study. In: Smith JP, Willis RJ, eds. Wealth, work, and health: Innovations in measurement in the social sciences: Essays in honor of F. Thomas Juster. Wealth, work, and health: Innovations in measurement in the social sciences: Essays in honor of F. Thomas Juster. Ann Arbor, MI: University of Michigan Press; 1999:326-34.
Wallace RB, Herzog AR. Overview of the Health Measures in the Health and Retirement Survey. The Journal of Human Resources. 1995;30(Supplement 1995):S84-S107.
Wallace GL, Haveman R, Holden KC, Wolfe B. Health and Wealth in Early Retirement. In: Couch KA, Daly MC, Zissimopoulos JM, eds. Lifecycle Events and Their Consequences: Job Loss, Family Change, and Declines in Health. Lifecycle Events and Their Consequences: Job Loss, Family Change, and Declines in Health. Stanford, CA: Stanford University; 2013:261-279.
Wallace GL, Haveman R, Wolfe B. Health Status, Health Shocks, and Asset Adequacy Over Retirement Years. Research on Aging. 2017;39(1):222-248. doi:10.1177/0164027516669567.
Wallis RDavid. Dementia Risk in Elders with Anxiety and Insomnia. 2017;Doctor of Philosophy.
Wallis C. Why Do Mental Illnesses—From Depression to Schizophrenia—Raise the Risk of Dementia?.
Walsemann KM, Ailshire JA. BMI Trajectories During the Transition to Older Adulthood: Persistent, Widening, or Diminishing Disparities by Ethnicity and Education?. Res Aging. 2011;33(3):286-311. doi:10.1177/0164027511399104.
http://www.ncbi.nlm.nih.gov/pubmed/30089935?dopt=Abstract
Walsemann KM, Kerr EM, Ailshire JA, Herd P. Black-White variation in the relationship between early educational experiences and trajectories of cognitive function among US-born older adults. SSM - Population Health. 2022;19:101184. doi:10.1016/j.ssmph.2022.101184.
Walsemann KM, Pearson J, Abbruzzi E. Education in the Jim Crow South and Black-White inequities in allostatic load among older adults. SSM Population Health. 2022;19:101224. doi:10.1016/j.ssmph.2022.101224.
Walsemann KM, Urena S, Farina MP, Ailshire JA. Race inequity in school attendance across the Jim Crow South and its implications for Black-White disparities in trajectories of cognitive function among older adults. The Journals of Gerontology, Series B . 2022;77(8):1467-1477. doi:10.1093/geronb/gbac026.
Walsemann KM, Ailshire JA. Early Educational Experiences and Trajectories of Cognitive Functioning Among Mid-Life and Older U.S. Adults. American Journal of Epidemiology. 2020. doi:10.1093/aje/kwz276.
Walsh MWilliams. Reversing Decades-Long Trend, Americans Retiring Later in Life. New York Times on the Web. 2001.
Walsh CE, Yang YC, Oi K, et al. Age Profiles of Cognitive Decline and Dementia in Late Life in the Aging, Demographics and Memory Study (ADAMS). The Journals of Gerontology, Series B . 2022;77(10):1880-1891. doi:10.1093/geronb/gbac038.
Walsh EG, Wu B, Mitchell JB, Berkman LF. Cognitive function and acute care utilization. J Gerontol B Psychol Sci Soc Sci. 2003;58(1):S38-49. doi:10.1093/geronb/58.1.s38.
http://www.ncbi.nlm.nih.gov/pubmed/12496307?dopt=Abstract
Walter S, Tchetgen Tchetgen EJ, Patton KK, et al. Changes in Depressive Symptoms and Incidence of First Stroke Among Middle-Aged and Older US Adults. J Am Heart Assoc. 2015;4(5). doi:10.1161/JAHA.115.001923.
http://www.ncbi.nlm.nih.gov/pubmed/25971438?dopt=Abstract
Walter S, Marden JR, Kubzansky LD, et al. Diabetic Phenotypes and Late-Life Dementia Risk: A Mechanism-specific Mendelian Randomization Study. Alzheimer Dis Assoc Disord. 2016;30(1):15-20. doi:10.1097/WAD.0000000000000128.
http://www.ncbi.nlm.nih.gov/pubmed/26650880?dopt=Abstract
Walter S, M. Glymour M, Avendano M. The health effects of US unemployment insurance policy: does income from unemployment benefits prevent cardiovascular disease?. PLoS One. 2014;9(7):e101193. doi:10.1371/journal.pone.0101193.
http://www.ncbi.nlm.nih.gov/pubmed/25025281?dopt=Abstract
Walter S, Mejía-Guevara I, Tchetgen Tchetgen EJ, et al. A Genetic IV Analysis to Assess the Effect of Body Mass Index on Depression in the Health And Retirement Study. Am J Epidemiol. 2013;177:S12.
Walter S, Mejía-Guevara I, Estrada K, Liu SY, M. Glymour M. Association of a Genetic Risk Score With Body Mass Index Across Different Birth Cohorts. JAMA. 2016;316(1):63-9. doi:10.1001/jama.2016.8729.
http://www.ncbi.nlm.nih.gov/pubmed/27380344?dopt=Abstract
Wan WH, Antonucci TC, Birditt KS, Smith J, Fisher GG. Work-Hour Trajectories and Depressive Symptoms Among Midlife and Older Married Couples. Work, Aging and Retirement. 2018;4(1):108-122. doi:10.1093/workar/wax028.
Wan WH. Work Hour Trajectories, Marital Quality, and Health of Couples Across the Life Course. 2015.
Wan X. Predictors of Technology Use among Older Adults: Evidence Ranging from Non-Users to Elite Users. 2022;Ph.D.
Wan X, Lighthall NR, Paulson D. Subjective markers of successful aging and change in Internet use among older adults: The distinctive role of subjective health. Computers in Human Behavior. 2022;127:107064. doi:https://doi.org/10.1016/j.chb.2021.107064.
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.