HRS Bibliography

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Davidson T, Vinneau-Palarino J, Goode JA, Boardman JD. Utilizing genome wide data to highlight the social behavioral pathways to health: The case of obesity and cardiovascular health among older adults. Social Science & Medicine. 2021;273:113766. doi:https://doi.org/10.1016/j.socscimed.2021.113766.
Banerjee S. Utilization Patterns and Out-of-Pocket Expenses for Different Health Care Services Among American Retirees. Washington, DC, Employee Benefit Research Institute; 2015.
Keptner KM, Smyth KA, Koroukian SM, Schluchter M, Furlan A. Utilization of rehabilitation services in stroke: A study utilizing the Health and Retirement Study with linked Medicare claims data. Arch Phys Med Rehabil. 2019. doi:10.1016/j.apmr.2019.06.017.
http://www.ncbi.nlm.nih.gov/pubmed/31421093?dopt=Abstract
Liu C-J, Stump TE, Ambuehl R, Clark DO. Utilization of occupational and physical therapy services in postacute care: Findings from the 2006 health and retirement study and linked medicare claims data. Physical and Occupational Therapy in Geriatrics. 2014;32(1):85-96.
Baughman R, Hurdelbrink J. Utilization of Long-Term Care by an Aging Population. University of New Hampshire ; 2018.
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
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.
Li C, Ma Y, Hua R, Zheng F, Xie W. Utility of SCORE2 risk algorithm for predicting life course accelerated frailty and physical function decline. Journal of Cachexia Sarcopenia and Muscle. 2023;14(1):596-605. doi:10.1002/jcsm.13165.
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.
Cross-Denny B, Robinson MA. Using the Social Determinants of Health as a Framework to Examine and Address Predictors of Depression in Later Life. Ageing International. 2017;42(4):393-412. doi:10.1007/s12126-017-9278-6.
Ruksakulpiwat S. Using the Self-Regulation Model to Understand Factors Influencing Medication Adherence Among Older Adults Living with Hypertension in the United States Utilizing the Health and Retirement Study Data. Nursing. 2024;Doctor of Philosophy:181.
Hayward MD. Using the Health and Retirement Survey to Investigate Health Disparities. 2002.PDF icon Download PDF (218.46 KB)
Benítez-Silva H, Eren S, Heiland F, Jimenez-Martin S. Using the Health and Retirement Study to Analyze Housing Decisions, Housing Values, and Housing Prices. Cityscape: A Journal of Policy Development and Research. 2010;12(2):149-58.
Mullen KJ. Using the Health and Retirement Study for Research on the Impact of the Working Conditions on the Individual Life Course. Forum for Health Economics & Policy. 2022. doi:10.1515/fhep-2021-0059.
Mullen KJ. Using the Health and Retirement Study for Research on the Impact of the Working Conditions on the Individual Life Course. 2021.PDF icon Download PDF (276.76 KB)
Hyde JSchimmel, Stapleton D. Using the Health and Retirement Study for Disability Policy Research: A Review. 2016.PDF icon Download PDF (129.91 KB)
Chao Y-S, Wu C-J, Wu H-C, et al. Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes. Scientific Reports. 2020;10. doi:10.1038/s41598-020-60869-8.
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
Teo AR, Markwardt S, Hinton L. Using Skype to Beat the Blues: Longitudinal Data from a National Representative Sample. American Journal of Geriatric Psychiatry. 2019;27(3):254-262. doi:10.1016/j.jagp.2018.10.014.
http://www.ncbi.nlm.nih.gov/pubmed/30442532?dopt=Abstract
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
Verweij RM, Mills MC, Stulp G, et al. Using Polygenic Scores in Social Science Research: Unraveling Childlessness. Frontiers in Sociology. 2019;4:74. doi:10.3389/fsoc.2019.00074.
Brown TH, Richardson LJ, Hargrove TW, Thomas CS. Using Multiple-hierarchy Stratification and Life Course Approaches to Understand Health Inequalities: The Intersecting Consequences of Race, Gender, SES, and Age. J Health Soc Behav. 2016;57(2):200-22. doi:10.1177/0022146516645165.
http://www.ncbi.nlm.nih.gov/pubmed/27284076?dopt=Abstract
DeLiema M. Using mixed methods to identify the characteristics of older fraud victims. 2015;3704229:132.
Jain S, Rosenbaum PR, Reiter JG, et al. Using Medicare claims in identifying Alzheimer's disease and related dementias. Alzheimer's & Dementia. Forthcoming. doi:10.1002/alz.12199.
Meijer E, Karoly LA, Michaud P-C. Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low Income Subsidy Program. Santa Monica, CA: RAND Corporation ; 2010.