HRS Bibliography

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Cho J, Kim BR, Jeon J, Park S. Perceived Usefulness and Easiness of Information and Communication Technologies and Volunteering among Older Adults. Journal of Gerontological Social Work. 2020;63(3). doi:10.1080/01634372.2020.1760992.
Cho J, Kim BR, Park SJung, Jang J. Postretirement work and volunteering by poverty groups informed by role theory. Journal of Gerontological Social Work. 2018;61(3):243-260. doi:10.1080/01634372.2017.1416719.
Choi SL, Martin P, Cho J, Ryou YJi, Heinz M. Personality and compliance with COVID-19 protective measures among older Americans: Moderating effects of age, gender, and race/ethnicity. Personality and Individual Difference. 2022;189:111499. doi:10.1016/j.paid.2022.111499.
Choi YJin, Ailshire JA. Perceived neighborhood disorder, social cohesion, and depressive symptoms in spousal caregivers. Aging Ment Health. 2023:1-8. doi:10.1080/13607863.2023.2212250.
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.
Choi SL, Carr D, Namkung EHa. Physical Disability and Older Adults' Perceived Food and Economic Insecurity During the COVID-19 Pandemic. The Journals of Gerontology, Series B . 2022;77(7):e123-e133. doi:10.1093/geronb/gbab162.
Choi NG. Potential Consequences of Raising the Social Security Eligibility Age on Low-Income Older Workers. Journal of Aging and Social Policy. 2000;11(4):15-39. doi:10.1300/J031v11n04_04.
Choi NG, Bohman TM. Predicting the changes in depressive symptomatology in later life: how much do changes in health status, marital and caregiving status, work and volunteering, and health-related behaviors contribute?. J Aging Health. 2007;19(1):152-77. doi:10.1177/0898264306297602.
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.
Chopik WJ, Francis J. Partner influences on ICT use variety among middle-aged and older adults: The role of need for cognition. Computers in Human Behavior. 2022;126:107028. doi:10.1016/j.chb.2021.107028.
Chowdhury RI, M. Islam A. Predictive Models for Trajectory Risks Prediction from Repeated Ordinal Outcomes. Bulletin of the Malaysian Mathematical Sciences Society. 2022. doi:10.1007/s40840-022-01277-1.
Chowdhury RI, M. Islam A. Prediction of Disease Status: Transition Model Approach for Repeated Measures. Pakistan Journal of Statistics . 2014;30(2):181-196.PDF icon PAKJSTAT.pdf (403.25 KB)
Chowdhury RI, M. Islam A, Huda S, Briollais L. Parameter Estimation in Logistic Regression for Transition, Reverse Transition and Repeated Transition from Repeated Outcomes. Applied Mathematics. 2012:1739-1749.PDF icon AM_SAS.pdf (215.62 KB)
Citroner G. People Who Survive Cancer May Be Less Likely to Develop Alzheimer’s. Healthline.
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.
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.
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.
Clark JBennett. Pros and cons of retiring near children. Chicago Tribune. Published 2017.
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.
Clark R, Hammond R, Khalaf C, Morrill M. Planning for retirement? The importance of time preferences. Cambridge, MA: National Bureau of Economic Research; 2017. doi:10.3386/w23501.
Cleary JL, Fang Y, Zahodne LB, Bohnert ASB, Burmeister M, Sen S. Polygenic Risk and Social Support in Predicting Depression Under Stress. The American Journal of Psychiatry. 2023;180(2):139-145. doi:10.1176/appi.ajp.21111100.
Clouston SAP, Richmond LL, Scott SB, et al. Pattern Recognition to Objectively Differentiate the Etiology of Cognitive Decline: Analysis of the Impact of Stroke and Alzheimer's Disease. Neuroepidemiology. 2020. doi:10.1159/000510133.
Clouston SAP, Zhang Y, Smith DM. Pattern Recognition to Identify Stroke in the Cognitive Profile: Secondary Analyses of a Prospective Cohort Study. Cerebrovascular Diseases Extra. 2019:114-122. doi:10.1159/000503002.
Coe NB, White L, Oney M, Basu A, Larson EB. Public spending on acute and long-term care for Alzheimer's disease and related dementias. Alzheimer's & Dementia. Forthcoming. doi:10.1002/alz.12657.
Cogan JF, Mitchell OS. Perspectives from the President’s Commission on Social Security Reform. Journal of Economic Perspectives. 2003;17(2):149-172.