HRS Bibliography

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Wang S, Kim K, Stokes JE. Dyadic profiles of personality among older couples: Associations with marital quality. Journal of Social and Personal Relationships. 2020;37(6). doi:10.1177/0265407520916246.
Wang J(Jessie). Hire or care: the effects of aging parents on household labor supply. Review of Economics of the Household. 2021. doi:10.1007/s11150-021-09571-w.
Wang S, Mutchler JE. The Implications of Providing Grandchild Care for Grandparents’ Marital Quality. Journal of Family Issues. 2020. doi:10.1177/0192513X20934845.
Wang Y. Beyond Wealth and Health: Psycho-Social Factors and Retirement Planning and Expectations in the U.S. Social Work. 2019;Ph.D.:179.
Wang Y, Matz-Costa C. Gender differences in the effect of social resources and social status on the retirement satisfaction and health of retirees. Journal of Gerontological Social Work. 2019. doi:10.1080/01634372.2018.1474156.
http://www.ncbi.nlm.nih.gov/pubmed/29768108?dopt=Abstract
Wang X. Three essays in health economics. 2012;Ph.D.:118.
Wang Y-H, Enguidanos S. Comparing Variations in Advance Directives Timing among Older Adults with End-Stage Renal Disease versus Cancer. American Journal of Hospice and Palliative Medicine. Forthcoming. doi:10.1177/10499091221097676.
Wang K, Cheatham LP, Marbut AR, Chen X. Longitudinal associations between cancer history and cognitive functioning among older adults. Archives of Gerontology and Geriatrics. 2021;97:104521. doi:10.1016/j.archger.2021.104521.
Wang M. Profiling retirees in the retirement transition and adjustment process: examining the longitudinal change patterns of retirees' psychological well-being. Journal of Applied Psychology. 2007;92(2):455-74. doi:10.1037/0021-9010.92.2.455.
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 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 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.
Ward L. Study Shows One Way to Extend Working Years. Journal Reports: Wealth Management.
Ward MM. Sense of Control and Self-Reported Health in a Population-Based Sample of Older Americans: Assessment of Potential Confounding by Affect, Personality, and Social Support. International Journal of Behavioral Medicine. 2013;20(1):140-7. doi:10.1111/ j.2044-8287.2011.02055.x. 10.1093/geronb/gbr072. http://dx.doi.org/10.1007/s12529-011-9218-x.
Ward MM. Sense of control and sociodemographic differences in self-reported health in older adults. Quality of Life Research. 2012;21(9):1509-18. doi:http://dx.doi.org/10.1007/s11136-011-0068-4.
Ward ME, McMahon G, St Pourcain B, et al. Genetic variation associated with differential educational attainment in adults has anticipated associations with school performance in children. Li Y, ed. PLoS One. 2014;9(7):e100248. doi:10.1371/journal.pone.0100248.
http://www.ncbi.nlm.nih.gov/pubmed/25032841?dopt=Abstract
Ward MM. Parental educational attainment and sense of control in mid- and late-adulthood. Developmental Psychology. 2013;49(7):1407-1412. doi:10.1037/a0029557.
Ward-Batts JL. Health, Wealth, and Gender: Do Health Shocks of Husbands and Wives Have Different Impacts on Household Wealth?. The University of Michigan, Michigan Retirement Research Center; 2001.
Ware EB, Morataya C, Fu M, Bakulski KM. Type 2 Diabetes and Cognitive Status in the Health and Retirement Study: A Mendelian Randomization Approach. Frontiers in Genetics. 2021;12:634767. doi:10.3389/fgene.2021.634767.
Ware EB, Mukherjee B, Sun YV, Diez-Roux AV, Kardia SLR. Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the Multi-Ethnic Study of Atherosclerosis. BMC Genet. 2015;16:118. doi:10.1186/s12863-015-0274-0.
http://www.ncbi.nlm.nih.gov/pubmed/26459564?dopt=Abstract
Ware EB, Faul J. Genomic data measures and methods: a primer for social scientists. In: Ferraro KF, Carr D, eds. Handbook of Aging and the Social Sciences (Ninth Edition)Handbooks of Aging. Handbook of Aging and the Social Sciences (Ninth Edition)Handbooks of Aging. Academic Press; 2021:49-62. doi:https://doi.org/10.1016/B978-0-12-815970-5.00004-8.
Ware EB, Schmitz LL, Faul J, et al. Heterogeneity in polygenic scores for common human traits. bioRxiv. Forthcoming. doi:10.1101/106062.
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.
Ware EB, Schmitz LL, Faul J. HRS Polygenic Scores: 2006-2010 Genetic Data. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (599.95 KB)
Warner DF, Koroukian SM, Schiltz NK, et al. Complex multimorbidity and breast cancer screening among midlife and older women: The role of perceived need. The Gerontologist. 2019;59(Supplement_1):S77 - S87. doi:10.1093/geront/gny180.