HRS Bibliography

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O

O'Carroll E. Understanding why loneliness exists can help ease it, say scientists. Christian Science Monitor.
Obaoye JO, Dawson AZ, Thorgerson A, Ikonte CO, Williams JS, Egede LE. Understanding the relationship between perceived discrimination, allostatic load, and all-cause mortality in US older adults: A mediation analysis. Journal of the American Geriatric Society. 2023;71(5):1515-1525. doi:10.1111/jgs.18215.
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)
Ornstein KA, Aldridge MD, Garrido MM, et al. The Use of Life-Sustaining Procedures in the Last Month of Life Is Associated With More Depressive Symptoms in Surviving Spouses. J Pain Symptom Manage. 2017;53(2):178-187.e1. doi:10.1016/j.jpainsymman.2016.08.023.
http://www.ncbi.nlm.nih.gov/pubmed/27864126?dopt=Abstract

P

Papke LE. Underfunded Public Sector Pension Plans, Social Security Participation, and the Retirement Decisions of Public Employees. Ann Arbor, MI: Michigan Retirement and Disability Research Center, University of Michigan; 2021.
Patel N. Using generalized estimating equations to analyze alcohol consumption and job displacement among older workers. Biostatistics. 2010;Doctor of Philosophy.
Perozek M. Using subjective expectations to forecast longevity: do survey respondents know something we don't know?. Demography. 2008;45(1):95-113. doi:10.1353/dem.2008.0010.
http://www.ncbi.nlm.nih.gov/pubmed/18390293?dopt=Abstract
Poterba JM, Rauh J, Venti SF, Wise DA. Utility Evaluation of Risk in Retirement Saving Accounts. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005. doi:10.3386/w9892.
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.

R

Raykov T, Zajacova A, Gorelick PB, Marcoulides GA. Using Latent Variable Modeling for Discrete Time Survival Analysis: Examining the Links of Depression to Mortality. Structural Equation Modeling: A Multidisciplinary Journal. 2018;25(2):287-293. doi:10.1080/10705511.2017.1364969.
Rideaux T, Beaudreau SA, Fernandez S, O'Hara R. Utility of the Abbreviated Fuld Object Memory Evaluation and MMSE for Detection of Dementia and Cognitive Impairment not Dementia in Diverse Ethnic Groups. Journal of Alzheimers Disease. 2012;31(2):371-386. doi:10.3233/jad-2012-112180.
Robinson KN, Menne HL, Gaeta R. Use of Informal Support as a Predictor of Home- and Community-Based Services Utilization. The Journals of Gerontology: Series B. 2020;76(1):133-140. doi:10.1093/geronb/gbaa046.
Rogers MAM, Blumberg N, Heal JM, Langa KM. Utilization of blood transfusion among older adults in the United States. Transfusion. 2011;51(4):710-8. doi:10.1111/j.1537-2995.2010.02937.x.
http://www.ncbi.nlm.nih.gov/pubmed/21087284?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
Ross JS, Bernheim SM, Bradley EH, Teng H-M, Gallo WT. Use of preventive care by the working poor in the United States. Prev Med. 2007;44(3):254-9. doi:10.1016/j.ypmed.2006.11.006.
http://www.ncbi.nlm.nih.gov/pubmed/17196642?dopt=Abstract

S

Sabbath EL, Guevara IMejia, M. Glymour M, Berkman LF. Use of life course work-family profiles to predict mortality risk among US women. American journal of public health. 2015;105(4):e96-e102. doi:10.2105/ajph.2014.302471.
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.
Shin SHyun, Lillard DR, Bhattacharya J. Understanding the correlation between Alzheimer’s Disease polygenic risk, wealth, and the composition of wealth holdings. Washington, DC: National Bureau of Economic Research; 2019.
Shiovitz-Ezra S, Ayalon L. Use of Direct Versus Indirect Approaches to Measure Loneliness in Later Life. Research on Aging. 2012;34(5):572.
Singer E, Ye C. The Use and Effects of Incentives in Surveys. The ANNALS of the American Academy of Political and Social Science. 2013;645(1):112-141. doi:h10.1177/0002716212458082.
Sloan FA, Zhang HH, Wang J. Upstream Intergenerational Transfers. Southern Economic Journal. 2002;69(2):363-80. doi:10.2307/1061677.
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.
Smith JP. Unequal Wealth and Incentives to Save. RAND Documented Briefings. 1995.
Sonnega A, Fisher GG, Helppie-McFall B. Using HRS-ONET Linked Data to Study Subjective and Objective Mismatch Between Work Demands and Capacity at Older Ages. Innovation in Aging. 2021;5(Suppl _1):231–232. doi:https://doi.org/10.1093/geroni/igab046.888.
St Clair PA, Gaudette É, Zhao H, Tysinger B, Seyedin R, Goldman DP. Using self-reports or claims to assess disease prevalence: It's complicated. Medical Care. 2017;55(8):782-788. doi:10.1097/MLR.0000000000000753.
http://www.ncbi.nlm.nih.gov/pubmed/28617703?dopt=Abstract