HRS Bibliography

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The Journal of Black in Higher Education. University Study Finds That Blacks Are More Likely Than Whites to Be Bullied at Work.
Abrams LR, Clarke PJ, Mehta NK. Unmet Expectations About Work at Age 62 and Depressive Symptoms. The Journals of Gerontology, Series B . 2022;77(3):615-625. doi:10.1093/geronb/gbab113.
W Deardorff J, Jing B, Growdon M, Yaffe K, Boockvar KS, Steinman MA. UNNECESSARY AND HARMFUL MEDICATION USE IN COMMUNITY DWELLING PERSONS WITH DEMENTIA. Innovation in Aging. 2022;6(Suppl 1):414. doi:10.1093/geroni/igac059.1626.
Donni PLi. The unobserved pattern of material hardship and health among older Americans. Journal of Health Economics. 2019;65:31-42. doi:10.1016/j.jhealeco.2019.02.004.
http://www.ncbi.nlm.nih.gov/pubmed/30903909?dopt=Abstract
Levoy K. Unpacking the Meaning and Impact of the Components of End-of-Life Preparation among Cancer Patients. Nursing. 2019;PhD:231.
Newmyer L, Lowrey KL, Levchenko Y. Unplanned costs and benefits: Gender and spousal spillover effects of retirement on health. Journal of Mariage and Family. 2023.
Zacher M. Unraveling the Relationship between Education and Health: Genetic Controls, Heterogeneity across Sociodemographic Groups, and Variation across Biomarkers of Health Risk. Sociology. 2019;Doctor of Philosophy.
Smith JP. Unraveling the SES-Health Connection. In: Waite LJ, ed. Aging, Health and Public Policy: Demographic and Economic Perspectives. Vol. 30. Aging, Health and Public Policy: Demographic and Economic Perspectives. New York: Population Council; 2005:108-132.
Kaskie B, Bhagianadh D, Bobitt J, Martinos F, Milavetz G, Arora K. Unrelenting Growth and Diversification: Using the Health and Retirement Study to Illuminate Cannabis Use among Aging Americans. The Gerontologist. Forthcoming. doi:10.1093/geront/gnae016.
Zurlo KA, Yoon W, Kim H. Unsecured Consumer Debt and Mental Health Outcomes in Middle-Aged and Older Americans. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2014;69(3):461-469. doi:10.1093/geronb/gbu020.
Finke MS, Guo T, Huston S. The unsophisticated “sophisticated”: Old age and the accredited investors definition. Financial Planning Review. 2021;4(2):e1114. doi:10.1002/cfp2.1114.
Sanchez-Arias R, Batista RW. Unsupervised Learning on the Health and Retirement Study using Geometric Data Analysis. In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). Boca Raton, FL, USA: IEEE; 2019. doi:10.1109/ICMLA.2019.00063.
de Langavant LCleret, Bayen E, Yaffe K. Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study. Journal of Medical Internet Research. 2018;20(7):e10493. doi:10.2196/10493.
http://www.ncbi.nlm.nih.gov/pubmed/29986849?dopt=Abstract
Lima JC, Ogarek J, Mor V. Untapped Potential: Using the HRS-Medicare Linked Files to Study the Changing Nursing Home Population. Medical Care. 2018;56(3):216-219. doi:10.1097/MLR.0000000000000866.
http://www.ncbi.nlm.nih.gov/pubmed/29298176?dopt=Abstract
Rogers MAM, Langa KM. Untreated poor vision: a contributing factor to late-life dementia. Am J Epidemiol. 2010;171(6):728-35. doi:10.1093/aje/kwp453.
http://www.ncbi.nlm.nih.gov/pubmed/20150357?dopt=Abstract
Munnell AH, Sass SA, Golub-Sass A, Karamcheva NS. Unusual Social Security Claiming Strategies: Costs and Distributional Effects. Center for Retirement Research at Boston College; 2009.
Powell VD, Abedini NC, Galecki AT, Kabeto MU, Kumar N, Silveira MJ. Unwelcome Companions: Loneliness Associates with the Cluster of Pain, Fatigue, and Depression in Older Adults. Gerontology and Geriatric Medicine. 2021;7:2333721421997620. doi:10.1177/2333721421997620.
Ofstedal MBeth, Weir DR, Chen KT, Wagner J. Updates to HRS Sample Weights. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2011.PDF icon Download PDF (209.48 KB)
Sloan FA, Zhang HH, Wang J. Upstream Intergenerational Transfers. Southern Economic Journal. 2002;69(2):363-80. doi:10.2307/1061677.
Sun N, Hua CL, Qiu X, J Brown S. Urban and Rural Differences in Trajectories of Depressive Symptoms in Later Life in the United States. Journal of Applied Gerontology. 2022;41(1):148-157. doi:10.1177/0733464820972527.
Aneshensel CS, Ko MJ, Chodosh J, Wight RG. The urban neighborhood and cognitive functioning in late middle age. J Health Soc Behav. 2011;52(2):163-79. doi:10.1177/0022146510393974.
http://www.ncbi.nlm.nih.gov/pubmed/21673145?dopt=Abstract
Wight RG, Cummings JR, Karlamangla AS, Aneshensel CS. Urban neighborhood context and change in depressive symptoms in late life. J Gerontol B Psychol Sci Soc Sci. 2009;64(2):247-51. doi:10.1093/geronb/gbn016.
http://www.ncbi.nlm.nih.gov/pubmed/19181693?dopt=Abstract
Wight RG, Cummings JR, Karlamangla AS, Aneshensel CS. Urban neighborhood context and mortality in late life. J Aging Health. 2010;22(2):197-218. doi:10.1177/0898264309355980.
http://www.ncbi.nlm.nih.gov/pubmed/20056813?dopt=Abstract
Wight RG, Aneshensel CS, Miller-Martinez D, et al. Urban neighborhood context, educational attainment, and cognitive function among older adults. Am J Epidemiol. 2006;163(12):1071-8. doi:10.1093/aje/kwj176.
http://www.ncbi.nlm.nih.gov/pubmed/16707655?dopt=Abstract
Harig FA. The Urban Neighborhood, Depressive Symptoms, and Age: Stress and Psychosocial Resources. 2012;M.S.(AAT 1512042):104.