HRS Bibliography

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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
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.

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Himes CL. Racial differences in education, obesity, and health in later life. Ann N Y Acad Sci. 1999;896:370-2. doi:10.1111/j.1749-6632.1999.tb08144.x.
http://www.ncbi.nlm.nih.gov/pubmed/10681925?dopt=Abstract
Lee J, Han A, Kim J, Park S-H. Relationships Between Types of Leisure Activities and Mental Health among Older Adults With Diabetes During the COVID-19 Pandemic. Am J Health Behav. 2023;47(2):228-236. doi:10.5993/AJHB.47.2.3.

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Yu H-J, Ho M, Chau PHing, Geng L, Fong DYee Tak. Salivary telomere length and the risks of prediabetes and diabetes among middle-aged and older adults: findings from the Health and Retirement Study. Acta Diabetologica. 2023;60(2):273-283. doi:10.1007/s00592-022-02004-9.
Song MK, Ratcliffe SJ, Tkacs NC, Riegel B. Self-care and health outcomes of diabetes mellitus. Clin Nurs Res. 2012;21(3):309-26. doi:10.1177/1054773811422604.
http://www.ncbi.nlm.nih.gov/pubmed/21926278?dopt=Abstract
González KA, Stickel AM, Kaur SS, Ramos AR, González HM, Tarraf W. Serum Cystatin-C is linked to increased prevalence of diabetes and higher risk of mortality in diverse middle-aged and older adults. PLoS One. 2022;17(9):e0270289. doi:10.1371/journal.pone.0270289.
Wray LA, Alwin DF, McCammon RJ, Manning T, Best LE. Social status, risky health behaviors, and diabetes in middle-aged and older adults. J Gerontol B Psychol Sci Soc Sci. 2006;61(6):S290-8. doi:10.1093/geronb/61.6.s290.
http://www.ncbi.nlm.nih.gov/pubmed/17114308?dopt=Abstract
Marker DA, Mardon R, Jenkins F, et al. State-level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data. Statistics in Medicine. 2018;37(27):3975-3990. doi:10.1002/sim.7848.
Mardon R, Campione J, Nooney J, et al. State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states. Population Health Metrics. 2022;20(1):22. doi:10.1186/s12963-022-00298-z.
Falba T, Busch SH. Survival expectations of the obese: Is excess mortality reflected in perceptions?. Obes Res. 2005;13(4):754-61. doi:10.1038/oby.2005.85.
http://www.ncbi.nlm.nih.gov/pubmed/15897485?dopt=Abstract

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Palloni A, McEniry M, Wong R, Pelaez M. The tide to come: elderly health in Latin America and the Caribbean. J Aging Health. 2006;18(2):180-206. doi:10.1177/0898264305285664.
http://www.ncbi.nlm.nih.gov/pubmed/16614340?dopt=Abstract

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McWilliams JM, Meara E, Zaslavsky AM, Ayanian JZ. Use of health services by previously uninsured Medicare beneficiaries. N Engl J Med. 2007;357(2):143-53. doi:10.1056/NEJMsa067712.
http://www.ncbi.nlm.nih.gov/pubmed/17625126?dopt=Abstract
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