HRS Bibliography

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Wolf DA, Mitchell OS. Disability-free life trends at older ages: Implications for longevity risk management . In: New Models for Managing Longevity Risk: Public-Private Partnerships. New Models for Managing Longevity Risk: Public-Private Partnerships. Oxford University Press; 2022. doi:10.1093/oso/9780192859808.001.0001.
Bardenheier BH, Lin J, Zhuo X, et al. Disability-Free Life-Years Lost Among Adults Aged ≥50 Years, With and Without Diabetes. Diabetes Care. 2015. doi:10.2337/dc15-1095.
Fong JH, Mitchell OS, Koh BSK. Disaggregating activities of daily living limitations for predicting nursing home admission. Health Serv Res. 2015;50(2):560-78. doi:10.1111/1475-6773.12235.
http://www.ncbi.nlm.nih.gov/pubmed/25256014?dopt=Abstract
Abowd JM, Schmutte IM, Vilhuber L. Disclosure Limitation and Confidentiality Protection in Linked Data. In: Chun AYoung, Larsen MD, Durrant G, Reiter JP, eds. Administrative Records for Survey Methodology. Administrative Records for Survey Methodology. John Wiley & Sons, Ltd; 2021:25-59. doi:https://doi.org/10.1002/9781119272076.ch2.
Polenick CA, Birditt KS, Turkelson A, Bugajski BC, Kales HC. Discordant Chronic Conditions and Depressive Symptoms: Longitudinal Associations Among Middle-Aged and Older Couples. The Journals of Gerontology: Series B. 2021;76(3):451-460. doi:10.1093/geronb/gbz137.
Maestas N, Li X. Discouraged Workers? Job Search Outcomes of Older Workers. The University of Michigan, Michigan Retirement Research Center; 2006.
Gurinovich A. Discovery and Characterization of Genetic Variants Associated with Extreme Longevity. Bioinformatics GRS/ENG. 2019;PhD:133.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Raykov T, Gorelick PB, Zajacova A, Marcoulides GA. Discrete time survival analysis via latent variable modeling: A note on lagged depression links to stroke in middle and late life. Structural Equation Modeling: A Multidisciplinary Journal. 2018;25(1):115-120. doi:10.1080/10705511.2017.1327817.
Schultebraucks K, Choi KW, Galatzer-Levy IR, Bonanno GA. Discriminating Heterogeneous Trajectories of Resilience and Depression After Major Life Stressors Using Polygenic Scores. JAMA Psychiatry. 2021;78(7):744-752. doi:10.1001/jamapsychiatry.2021.0228.
Xu J. Discrimination and health: A longitudinal study. Sociology. 2010;M.S.:59.
Liu SY, Kawachi I. Discrimination and Telomere Length Among Older Adults in the United States. Public Health Reports. 2017. doi:10.1177/0033354916689613.
Nguyen TT, Vable AM, M. Glymour M, Allen AM. Discrimination in health care and biomarkers of cardiometabolic risk in U.S. adults. SSM - Population Health. 2019;7:100306. doi:10.1016/j.ssmph.2018.10.006.
Rogers SE, Thrasher AD, Miao Y, W Boscardin J. Discrimination in Healthcare Settings is Associated with Disability in Older Adults: Health and Retirement Study, 2008-2012. J Gen Intern Med. 2015;30(10):1413-20. doi:10.1007/s11606-015-3233-6.
http://www.ncbi.nlm.nih.gov/pubmed/25773918?dopt=Abstract
Sims KD, G Batty D, Smit E, Hystad PW, McGregor JC, Odden MC. Discrimination, Mediating Psychosocial or Economic Factors, and Antihypertensive Treatment: A 4-Way Decomposition Analysis in the Health and Retirement Study. American Journal of Epidemiology. 2022;191(10):1710-1721. doi:10.1093/aje/kwac102.
Willis RJ. Discussion of James Poterba, Joshua Rauh, Steven Venti and David Wise, Utility Evaluation of Risk in Retirement Savings Accounts. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005:53.
Willis RJ. Discussion of Li Gan, Michael Hurd and Daniel McFadden, Individual Subjective Survival Curves. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005.
Banks J, Marmot M, Oldfield Z, Smith JP. Disease and Disadvantage in the United States and in England. Journal of the American Medical Association. 2006;295(17):2037-2045.
Gray MR. Disease as a predictor of depression in aging adults. 2012;M.A.
Sole-Auro A, Michaud P-C, Hurd MD, Crimmins EM. Disease incidence and mortality among older Americans and Europeans. Demography. 2015;52(2):593-611. doi:10.1007/s13524-015-0372-7.
http://www.ncbi.nlm.nih.gov/pubmed/25715676?dopt=Abstract
Wilson SE, Howell BL. Disease prevalence and survey design effects: A response to Weir and Smith. Social Science and Medicine. 2007;65(6):1078. doi:https://doi.org/10.1016/j.socscimed.2007.04.039.
Banks J, Muriel A, Smith JP. Disease prevalence, disease incidence, and mortality in the United States and in England. Demography. 2010;47 Suppl(Suppl 1):S211-31. doi:10.1353/dem.2010.0008.
http://www.ncbi.nlm.nih.gov/pubmed/21302425?dopt=Abstract
Santiago AM, Muschkin CG. Disentangling the effects of disability status and gender on the labor supply of Anglo, black, and Latino older workers. Gerontologist. 1996;36(3):299-310. doi:10.1093/geront/36.3.299.
http://www.ncbi.nlm.nih.gov/pubmed/8682328?dopt=Abstract
Brown LL, Mitchell UA, Ailshire JA. Disentangling the Stress Process: Race/Ethnic Differences in the Exposure and Appraisal of Chronic Stressors among Older Adults. Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2020. doi:10.1093/geronb/gby072.
http://www.ncbi.nlm.nih.gov/pubmed/29878196?dopt=Abstract