HRS Bibliography

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Wang S, Kim K, Burr JA. Older Couples Coping With Adverse Life Events: The Importance of Dyadic Personality Profiles. Innovation in Aging. 2020;4(Suppl 1):582-583. doi:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741535/.
Wang Y. Dynamic Implications of Subjective Expectations: Evidence from Adult Smokers. American Economic Journal: Applied Economics. 2014;6(1):1-37. doi:10.1257/app.6.1.1.
Wang N, Xu H, West JS, et al. Association between perceived risk of Alzheimer's disease and related dementias and cognitive function among U.S. older adults. Arch Gerontol Geriatr. 2023;115:105126. doi:10.1016/j.archger.2023.105126.
Wang L, Shen H, Liu H, Guo G. Mixture SNPs effect on phenotype in genome-wide association studies. BMC Genomics. 2015;16:3. doi:10.1186/1471-2164-16-3.
http://www.ncbi.nlm.nih.gov/pubmed/25649116?dopt=Abstract
Wang H. Intergenerational Relationships and Sleep in Aging Families. Gerontology. 2020;Doctor of Philosophy.
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 WH. Work Hour Trajectories, Marital Quality, and Health of Couples Across the Life Course. 2015.
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.
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.
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, 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
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, 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
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
Walsh K. Dementia Rates Have Decreased by Nearly One-Third, According to a New Report—These Healthy Habits Can Help You Lower Your Risk, Too.
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.
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, Fisk CE, Farina MP, Abbruzzi E, Ailshire JA. Race, gender, and cohort differences in the educational experiences of Black and White Americans. Population Research and Policy Review. 2023;42. doi:10.1007/s11113-023-09831-w.
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.
Walsemann KM, Hair NL, Farina MP, Tyagi P, Jackson H, Ailshire JA. State-level desegregation in the U.S. South and mid-life cognitive function among Black and White adults. Social Science & Medicine (1983). Forthcoming;338:116319. doi:10.1016/j.socscimed.2023.116319.