HRS Bibliography

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Oldrige NB, Stump TE, Nothwehr F, Clark DO. Prevalence and outcomes of comorbid metabolic and cardiovascular conditions in middle- and older-age adults. J Clin Epidemiol. 2001;54(9):928-34. doi:10.1016/s0895-4356(01)00350-x.
Clark DO, Mungai SM, Stump TE, Wolinsky FD. Prevalence and impact of risk factors for lower body difficulty among Mexican Americans, African Americans, and whites. J Gerontol A Biol Sci Med Sci. 1997;52(2):M97-105. doi:10.1093/gerona/52a.2.m97.
http://www.ncbi.nlm.nih.gov/pubmed/9060977?dopt=Abstract
Yelin E, Sonneborn D, Trupin LS. The prevalence and impact of accommodations on the employment of persons 51-61 years of age with musculoskeletal conditions. Arthritis Care Res. 2000;13(3):168-76. doi:10.1002/1529-0131(200006)13:3<168::aid-anr6>3.0.co;2-r.
http://www.ncbi.nlm.nih.gov/pubmed/14635290?dopt=Abstract
Turvey CL, Schultz K, Arndt S, Wallace RB, Herzog AR. Prevalence and correlates of depressive symptoms in a community sample of people suffering from heart failure. J Am Geriatr Soc. 2002;50(12):2003-8. doi:10.1046/j.1532-5415.2002.50612.x.
http://www.ncbi.nlm.nih.gov/pubmed/12473012?dopt=Abstract
Noone JH, Stephens C, Alpass FM. Preretirement Planning and Well-Being in Later Life: A Prospective Study. Research on Aging. 2009;31(3):295.
Sun W, Barboza G, Richman K. Preparing for the Future: Latinos' Financial Literacy and Retirement Planning. The Business Journal of Hispanic Research. 2007;1(2):54-68.
Tang AB, L Diaz-Ramirez G, Smith AK, Lee SJ, Whitlock EL. Preoperative Factors Predict Memory Decline After Coronary Artery Bypass Grafting or Percutaneous Coronary Intervention in an Epidemiological Cohort of Older Adults. J Am Heart Assoc. 2023;12(1). doi:10.1161/JAHA.122.027849.
Sloan FA, Padrón NA, Platt AC. Preferences, beliefs, and self-management of diabetes. Health Serv Res. 2009;44(3):1068-87. doi:10.1111/j.1475-6773.2009.00957.x.
http://www.ncbi.nlm.nih.gov/pubmed/19674433?dopt=Abstract
Barsky R, Kimball MS, F. Juster T, Shapiro MD. Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the HRS. Quarterly Journal of Economics. 1997;112(May):S537-S579.
Duffy S, Smith J. Preference for increasing wages: How do people value various streams of income?. Judgment and Decision Making. 2013;8(1):74.
Tsang M, Gan S, Wong ML, Walter LC, Smith AK. Pre-existing geriatric conditions in older adults with poor prognosis cancers. Journal of Clinical Oncology. 2021;39(15_suppl):12044-12044. doi:10.1200/JCO.2021.39.15_suppl.12044.
Stites SD, Largent EA, Gill J, Gurian A, Harkins K, Karlawish J. Predictors of who Serves as an Alzheimer's Disease Research Participant's Study Partner and the Impact of their Relationship on Study Partners' Reports on Participants. Research on Aging. 2022;44(9-10):734-746. doi:10.1177/01640275221075739.
Choi NG, Schlichting-Ray L. Predictors of transitions in disease and disability in pre- and early-retirement populations. J Aging Health. 2001;13(3):379-409. doi:10.1177/089826430101300304.
http://www.ncbi.nlm.nih.gov/pubmed/11813732?dopt=Abstract
Szinovacz ME, Davey A. Predictors of perceptions of involuntary retirement. Gerontologist. 2005;45(1):36-47. doi:10.1093/geront/45.1.36.
http://www.ncbi.nlm.nih.gov/pubmed/15695416?dopt=Abstract
Clark DO, Stump TE, Wolinsky FD. Predictors of Onset Of and Recovery From Mobility Difficulty Among Adults Aged 51-61 Years. American Journal of Epidemiology. 1998;148(1):63-71.
Longino CF, Bradley DE, Stoller EP, Haas WH. Predictors of non-local moves among older adults: a prospective study. J Gerontol B Psychol Sci Soc Sci. 2008;63(1):S7-14. doi:10.1093/geronb/63.1.s7.
http://www.ncbi.nlm.nih.gov/pubmed/18332203?dopt=Abstract
Leggett AN, Pepin R, Sonnega A, Assari S. Predictors of New Onset Sleep Medication and Treatment Utilization Among Older Adults in the United States. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2016;71(7):954-960. doi:10.1093/gerona/glv227.
Clark DO, Stump TE, Hui SL, Wolinsky FD. Predictors of Mobility and Basic ADL Difficulty Among Adults Aged 70 Years and Older. Journal of Aging and Health. 1998;10(4):422-40.
Lee YG, Lown JM, Sharpe DL. Predictors of Holding Consumer and Mortgage Debt among Older Americans. Journal of Family and Economic Issues. 2007;28(2):305. doi:https://doi.org/10.1007/s10834-007-9055-x.
Shen X, Yin F, Jiao C. Predictive Models of Life Satisfaction in Older People: A Machine Learning Approach. Int J Environ Res Public Health. 2023;20(3). doi:10.3390/ijerph20032445.
Blue L, Gill L, Faul J, Bradway K, Stapleton D. Predicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence From the Health and Retirement Study. Journal of Aging and Health. 2019;31(4):555-579. doi:10.1177/0898264317737893.
http://www.ncbi.nlm.nih.gov/pubmed/29254420?dopt=Abstract
Stulick A. Predicting Nursing Home Care for Dementia Patients Is Possible With Models .
Banaszak-Holl J, A. Fendrick M, Foster NL, et al. Predicting Nursing Home Admission: Estimates from a seven-year follow-up of a nationally representative sample of older Americans. Alzheimer Disease and Associated Disorders. 2004;18(2):83-89.
Aschwanden D, Aichele S, Ghisletta P, et al. Predicting Cognitive Impairment and Dementia: A Machine Learning Approach. Journal of Alzheimer's disease : JAD. 2020;75(3):717-728. doi:10.3233/JAD-190967.
Cruz M, Covinsky KE, Widera EW, Stijacic-Cenzer I, Lee SJ. Predicting 10-year mortality for older adults. JAMA. 2013;309(9):874-6. doi:10.1001/jama.2013.1184.
http://www.ncbi.nlm.nih.gov/pubmed/23462780?dopt=Abstract