HRS Bibliography

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Willink A, Davis K, Schoen C, Wolff JL. Physical and/or Cognitive Impairment, Out-of-Pocket Spending, and Medicaid Entry among Older Adults. J Urban Health. 2016;93(5):840-850. doi:10.1007/s11524-016-0078-1.
http://www.ncbi.nlm.nih.gov/pubmed/27653385?dopt=Abstract
Chiu C-J, Wray LA. Physical disability trajectories in older Americans with and without diabetes: the role of age, gender, race or ethnicity, and education. Gerontologist. 2011;51(1):51-63. doi:10.1093/geront/gnq069.
http://www.ncbi.nlm.nih.gov/pubmed/20713455?dopt=Abstract
Clark DO, Callahan CM, Mungai SM, Wolinsky FD. Physical function among retirement-aged African American men and women. Gerontologist. 1996;36(3):322-31. doi:10.1093/geront/36.3.322.
http://www.ncbi.nlm.nih.gov/pubmed/8682330?dopt=Abstract
Wei MY, Kabeto MU, Galecki AT, Langa KM. Physical Functioning Decline and Mortality in Older Adults with Multimorbidity: Joint Modeling of Longitudinal and Survival Data. Journals of Gerontology Series A: Biological Sciences & Medical Sciences. 2019;74(2):226-232. doi:10.1093/gerona/gly038.
http://www.ncbi.nlm.nih.gov/pubmed/29529179?dopt=Abstract
Wolinsky FD, Ayres L, Jones MP, Lou Y, Wehby GL, Ullrich FA. A pilot study among older adults of the concordance between their self-reports to a health survey and spousal proxy reports on their behalf. BMC Health Serv Res. 2016;16:485. doi:10.1186/s12913-016-1734-6.
http://www.ncbi.nlm.nih.gov/pubmed/27612571?dopt=Abstract
Wolinsky FD, Ayres L, Jones MP, Lou Y, Wehby GL, Ullrich FA. A pilot study among older adults of the concordance between their self-reports to a health survey and spousal proxy reports on their behalf. BMC Health Serv Res. 2016;16:485. doi:10.1186/s12913-016-1734-6.
http://www.ncbi.nlm.nih.gov/pubmed/27612571?dopt=Abstract
Kulminski AM, He L, Culminskaya I, et al. Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. Barsh GS, ed. PLoS Genet. 2016;12(11):e1006314. doi:10.1371/journal.pgen.1006314.
http://www.ncbi.nlm.nih.gov/pubmed/27832070?dopt=Abstract
Patel PC, Rietveld CA, Wolfe MT, Wiklund J. The Polygenic Risk Score of Subjective Well-Being, Self-Employment, and Earnings Among Older Individuals. Entrepreneurship Theory and Practice. 2021;45(2):440-466. doi:https://doi.org/10.1177/1042258720936984.
Patel PC, Rietveld CA, Wolfe MT, Wiklund J. The Polygenic Risk Score of Subjective Well-Being, Self-Employment, and Earnings Among Older Individuals. Entrepreneurship Theory and Practice. 2021;45(2):440-466. doi:https://doi.org/10.1177/1042258720936984.
Rosen HS, Wu S. Portfolio Choice and Health Status. Cambridge, MA: The National Bureau of Economic Research; 2003.
Windsor TD, Gerstorf D, Pearson E, Ryan LH, Anstey KJ. Positive and Negative Social Exchanges and Cognitive Aging in Young-Old Adults: Differential Associations Across Family, Friend, and Spouse Domains. Psychology and Aging. 2014;29(1):28-43.
Hong JH, Lachman ME, Charles ST, et al. The positive influence of sense of control on physical, behavioral, and psychosocial health in older adults: An outcome-wide approach. Preventative Medicine. 2021;149:106612. doi:10.1016/j.ypmed.2021.106612.
Zhang Z, Wang J, Ma B, Wang J, Jia Y, Chen O. Positive Self-perceptions of Aging Increase Physical Resilience to Facilitate Social Re-engagement of Older Adults Who Fall: Analysis Based on Health and Retirement Study Data. Arch Phys Med Rehabil. 2023. doi:10.1016/j.apmr.2023.02.006.
Zhang Z, Wang J, Ma B, Wang J, Jia Y, Chen O. Positive Self-perceptions of Aging Increase Physical Resilience to Facilitate Social Re-engagement of Older Adults Who Fall: Analysis Based on Health and Retirement Study Data. Arch Phys Med Rehabil. 2023. doi:10.1016/j.apmr.2023.02.006.
Wu AYanyuan, Hyde JSchimmel. The Postretirement Well-Being of Workers With Disabilities. Journal of Disability Policy Studies. 2018;30(1):46 - 55.
Burkhauser RV, Daly MC. The Potential Impact on the Employment of People with Disabilities. In: West J, ed. Implementing the Americans with Disabilities Act. Implementing the Americans with Disabilities Act. Cambridge, MA: Blackwell Publishers; 1996:153-192.
Chopik WJ, Wimer C, Betson DM, Manfield L. Poverty among the aged population: The role of out-of-pocket medical expenditures and annuitized assets in supplemental poverty measure estimates. 2018:47-75.
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
Hill NL, Mogle J, Bell TReed, Bhargava S, Wion RK, Bhang I. Predicting current and future anxiety symptoms in cognitively intact older adults with memory complaints. International Journal of Geriatric Psychiatry. 2019;34(12):1874-1882. doi:10.1002/gps.5204.
Badolato L, Decter-Frain A, Irons NJ, et al. Predicting individual-level longevity with statistical and machine learning methods. Max Planck Institute; 2023. doi:10.4054/MPIDR-WP-2023-008.
Puterman E, Weiss J, Hives BA, et al. Predicting mortality from 57 economic, behavioral, social, and psychological factors. Proceedings of the National Academy of Sciences. 2020. doi:10.1073/pnas.1918455117.
Waddell EL, Jacobs-Lawson JM. Predicting positive well-being in older men and women. Int J Aging Hum Dev. 2010;70(3):181-97. doi:10.2190/AG.70.3.a.
http://www.ncbi.nlm.nih.gov/pubmed/20503804?dopt=Abstract
Geiger JR, Wilks SE, Livermore MM. Predicting SNAP Participation in Older Adults: Do Age Categorizations Matter?. Educational Gerontology. 2014;40(12):932-946. doi:10.1080/03601277.2014.912837.
Preisser JS, Moss K, Finlayson TL, Jones JA, Weintraub JA. Prediction Model Development and Validation of 12-Year Incident Edentulism of Older Adults in the United States. JDR Clinical & Translational Research. Forthcoming. doi:10.1177/23800844221112062.
Lou Y, Edmonds SW, Jones MP, et al. Predictors of bone mineral density testing among older women on Medicare. Osteoporos Int. 2016;27(12):3577-3586. doi:10.1007/s00198-016-3688-2.
http://www.ncbi.nlm.nih.gov/pubmed/27358177?dopt=Abstract