HRS Bibliography

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Journal Article

Marden JR, Mayeda ER, Walter S, et al. Using an Alzheimer Disease Polygenic Risk Score to Predict Memory Decline in Black and White Americans Over 14 Years of Follow-up. Alzheimer Dis Assoc Disord. 2016;30(3):195-202. doi:10.1097/WAD.0000000000000137.
http://www.ncbi.nlm.nih.gov/pubmed/26756387?dopt=Abstract
Wei Y, Heun-Johnson H, Tysinger B. Using dynamic microsimulation to project cognitive function in the elderly population. PLoS One. 2022;17(9):e0274417. doi:10.1371/journal.pone.0274417.
Viroli C. Using factor mixture analysis to model heterogeneity, cognitive structure, and determinants of dementia: an application to the Aging, Demographics, and Memory Study. Statistics in Medicine. 2012;31(19):2110-2122. doi:10.1002/sim.5320.
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.
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.
Nandi A, M. Glymour M, Kawachi I, VanderWeele TJ. Using marginal structural models to estimate the direct effect of adverse childhood social conditions on onset of heart disease, diabetes, and stroke. Epidemiology. 2012;23(2):223-32. doi:10.1097/EDE.0b013e31824570bd.
http://www.ncbi.nlm.nih.gov/pubmed/22317806?dopt=Abstract
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. Social Security Bulletin. 2010;70(2):63-82.
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.
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
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.
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
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
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
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.
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.
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.
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.
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.
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.
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
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.
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
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.