HRS Bibliography

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Journal Article

de la Fuente J, Caballero FFélix, Sánchez-Niubó A, et al. Determinants of health trajectories in England and the US: an approach to identify different patterns of healthy aging. Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2018;73(11):1512-1518. doi:10.1093/gerona/gly006.
http://www.ncbi.nlm.nih.gov/pubmed/29346518?dopt=Abstract
McKee MM, Choi H, Wilson S, DeJonckheere MJ, Zazove P, Levy HG. Determinants of Hearing Aid Use Among Older Americans With Hearing Loss. The Gerontologist. 2019. doi:10.1093/geront/gny051.
Demiralp B, Koenig L, Nguyen JT, Soltoff SA. Determinants of hip and knee replacement: The role of social support and family dynamics. Inquiry. 2019;56:46958019837438. doi:10.1177/0046958019837438.
http://www.ncbi.nlm.nih.gov/pubmed/30947603?dopt=Abstract
Kelley AS, Ettner SL, R Morrison S, Du Q, Wenger NS, Sarkisian CA. Determinants of medical expenditures in the last 6 months of life. Annals of Internal Medicine. 2011;154(4):235-242. doi:10.7326/0003-4819-154-4-201102150-00004.
Yang T, Zhu M, Xie X. The determinants of presenteeism: a comprehensive investigation of stress-related factors at work, health, and individual factors among the aging workforce. J Occup Health. 2016;58(1):25-35. doi:10.1539/joh.15-0114-OA.
http://www.ncbi.nlm.nih.gov/pubmed/26490428?dopt=Abstract
Lin H, Prince JT. Determinants of Private Long-Term Care Insurance Purchase in Response to the Partnership Program. Health Serv Res. 2016;51(2):687-703. doi:10.1111/1475-6773.12353.
http://www.ncbi.nlm.nih.gov/pubmed/26303435?dopt=Abstract
Sargent-Cox KA, Anstey KJ, Kendig H, Skladzien E. Determinants of retirement timing expectations in the United States and australia: a cross-national comparison of the effects of health and retirement benefit policies on retirement timing decisions. J Aging Soc Policy. 2012;24(3):291-308. doi:10.1080/08959420.2012.676324.
Choi NG. Determinants of self-perceived changes in health status among pre- and early-retirement populations. Int J Aging Hum Dev. 2003;56(3):197-222. doi:10.2190/T8JD-1P30-6MFT-8WHA.
http://www.ncbi.nlm.nih.gov/pubmed/14661813?dopt=Abstract
Jivraj S, Nazroo J. Determinants of socioeconomic inequalities in subjective well-being in later life: a cross-country comparison in England and the USA. Quality of Life Research. 2014;23(9):2545-2558. doi:10.1007/s11136-014-0694-8.
Choi NG. Determinants of stability and changes in self-reported work disability among older working-age populations. J Aging Soc Policy. 2003;15(1):11-31. doi:10.1300/J031v15n01_02.
http://www.ncbi.nlm.nih.gov/pubmed/12822692?dopt=Abstract
Brinks R, Bardenheier BH, Hoyer A, Lin J, Landwehr S, Gregg EW. Development and demonstration of a state model for the estimation of incidence of partly undetected chronic diseases. BMC MEDICAL RESEARCH METHODOLOGY. 2015;15:98.
Suemoto CKimie, Ueda H, Beltrán-Sánchez H, et al. Development and Validation of a 10-Year Mortality Prediction Model: Meta-Analysis of Individual Participant Data From Five Cohorts of Older Adults in Developed and Developing Countries. J Gerontol A Biol Sci Med Sci. 2017;72(3):410-416. doi:10.1093/gerona/glw166.
http://www.ncbi.nlm.nih.gov/pubmed/27522061?dopt=Abstract
Fong TG, Jones RN, Rudolph JL, et al. Development and validation of a brief cognitive assessment tool: the sweet 16. Archives of Internal Medicine. 2011;171(5):432-437. doi:10.1001/archinternmed.2010.423.
Barnes DE, Beiser AS, Lee A, et al. Development and validation of a brief dementia screening indicator for primary care. Alzheimers Dement. 2014;10(6):656-665.e1. doi:10.1016/j.jalz.2013.11.006.
http://www.ncbi.nlm.nih.gov/pubmed/24491321?dopt=Abstract
Carey EC, Walter LC, Lindquist K, Covinsky KE. Development and Validation of a Functional Morbidity Index to Predict Mortality in Community-Dwelling Elders. Journal of General Internal Medicine. 2004;19(10):1027-1033.
Lee SJ, Lindquist K, Segal M, Covinsky KE. Development and Validation of a Prognostic Index for 4-year Mortality in Older Adults. Journal of the American Medical Association. 2006;295(7):801 -808.
Covinsky KE, Hilton J, Lindquist K, Dudley RA. Development and validation of an index to predict activity of daily living dependence in community-dwelling elders. Medical Care. 2006;44(2):149-157.
Ajnakina O, Agbedjro D, McCammon RJ, et al. Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation. BMC Medical Research Methodology. 2021;21(1):8. doi:10.1186/s12874-020-01204-7.
Wu C, G Geldhof J, Xue Q-L, Kim DH, Newman AB, Odden MC. Development, Construct Validity, and Predictive Validity of a Continuous Frailty Scale: Results from Two Large U.S. Cohorts. American Journal of Epidemiology. 2018;187(8):1752-1762. doi:10.1093/aje/kwy041.
http://www.ncbi.nlm.nih.gov/pubmed/29688247?dopt=Abstract
Roberts MH, Mapel DW, Bruse S, Petersen H, Nyunoya T. Development of a Modified BODE Index as a Mortality Risk Measure Among Older Adults With and Without Chronic Obstructive Pulmonary Disease. American Journal of Epidemiology. 2013;178(7):1150-1160. doi:10.1093/aje/kwt087.
Gianattasio KZ, Ciarleglio A, Power MC. Development of Algorithmic Dementia Ascertainment for Racial/Ethnic Disparities Research in the US Health and Retirement Study. Epidemiology (Cambridge, Mass.). 2020;31:126-133. doi:10.1097/EDE.0000000000001101.
Gianattasio KZ, Ciarleglio A, Power MC. Development of Algorithmic Dementia Ascertainment for Racial/Ethnic Disparities Research in the US Health and Retirement Study. Epidemiology. 2020;31(1):126-133. doi:10.1097/EDE.0000000000001101.
Chatterji P, Joo H, Lahiri KC. Diabetes and labor market exits: Evidence from the Health & Retirement Study (HRS). The Journal of the Economics of Ageing. 2017;9:100-110. doi:10.1016/j.jeoa.2016.08.005.
Lewis CM, Schrader RM, Many A, Mackay M, Rogers RG. Diabetes and Urinary Incontinence in 50- to 90-year-old Women: A cross-sectional population-based study. American Journal of Obstetrics and Gynecology. 2005;53(6):879-885.
Rumball-Smith J, Barthold D, Nandi A, Heymann J. Diabetes associated with early labor-force exit: A comparison of sixteen high-income countries. Health Affairs. 2014;33(1):110-115.