HRS Bibliography

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Journal Article

Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
McAninch EA, Rajan KB, Jo S, Chaker L, al. et. A Common DIO2 Polymorphism and Alzheimer Disease Dementia in African and European Americans. Journal of Endocrinology & Metabolism. 2018;103(5):118-1826.
Ryan LH, Smith J, Antonucci TC, Jackson JS. Cohort differences in the availability of informal caregivers: are the Boomers at risk?. Gerontologist. 2012;52(2):177-88. doi:10.1093/geront/gnr142.
http://www.ncbi.nlm.nih.gov/pubmed/22298747?dopt=Abstract
Wolinsky FD, Jones MP, Ullrich FA, Lou Y, Wehby GL. Cognitive function and the concordance between survey reports and Medicare claims in a nationally representative cohort of older adults. Med Care. 2015;53(5):455-62. doi:10.1097/MLR.0000000000000338.
http://www.ncbi.nlm.nih.gov/pubmed/25793268?dopt=Abstract
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Martin-Bassols N, de New SC, Johnston DW, Shields MA. Cognitive activity at work and the risk of dementia. Health Econ. 2023;32(7):1561-1580. doi:10.1002/hec.4679.
Sneed RS, Stubblefield A, Gardner G, Jordan T, Mezuk B. Chronic Disease, Functional Limitations, and Workforce Participation Among Medicaid Enrollees Over 50: The Potential Impact of Medicaid Work Requirements Post-COVID-19. J Aging Soc Policy. 2023:1-19. doi:10.1080/08959420.2023.2226291.
Jih J, Stijacic-Cenzer I, Seligman HK, W Boscardin J, Nguyen TT, Ritchie CS. Chronic disease burden predicts food insecurity among older adults. Public Health Nutrition. 2018;21(9):1737-1742. doi:10.1017/S1368980017004062.
http://www.ncbi.nlm.nih.gov/pubmed/29388533?dopt=Abstract
Sneed RS, Stubblefield A, Gardner G, Jordan T, Mezuk B. Chronic Disease and Workforce Participation Among Medicaid Enrollees Over 50: The Potential Impact of Medicaid Work Requirements Post-COVID-19. medRxiv. Forthcoming. doi:10.1101/2022.02.07.22270614.
Parajuli J, Berish D, Jao Y-L. Chronic conditions and depressive symptoms in older adults: the mediating role of functional limitations. Aging and Mental Health. 2019;25(2):243-249. doi:10.1080/13607863.2019.1693971.
Bardenheier BH, Zullo AR, Jutkowitz E, Gravenstein S. Characteristics of Repeated Influenza Vaccination Among Older U.S. Adults. American Journal of Preventive Medicine. 2020. doi:10.1016/j.amepre.2020.05.009.
Chen T-Y, Janke MC. Change in leisure participation among older adults after falling. Leisure Sciences. 2019. doi:10.1080/01490400.2018.1536568.
Orlovic M, Mossialos E, Orkaby AR, et al. Challenges for Patients Dying of Heart Failure and Cancer. Circulation. Heart Failure. 2022;15(12):e009922. doi:10.1161/CIRCHEARTFAILURE.122.009922.
Johnson RW, Uccello CE. Cash Balance Plans and the Distribution of Pension Wealth. Industrial Relations. 2003;42(4):745. doi:https://doi.org/10.1111/1468-232X.00314.
Gaugler JE, Jutkowitz E, Peterson C, Zmora R. Caregivers dying before care recipients with dementia. Alzheimer's & Dementia . 2018;4:688-693. doi:10.1016/j.trci.2018.08.010.
http://www.ncbi.nlm.nih.gov/pubmed/30581974?dopt=Abstract
Jin Y, Liang J, Hong C, Liang R, Luo Y. Cardiometabolic multimorbidity, lifestyle behaviours, and cognitive function: a multicohort study. The Lancet. Healthy Longevity. Forthcoming. doi:10.1016/S2666-7568(23)00054-5.
Vable AM, Canning D, M. Glymour M, Kawachi I, Jimenez MP, Subramanian SV. Can social policy influence socioeconomic disparities? Korean War GI Bill eligibility and markers of depression. Ann Epidemiol. 2016;26(2):129-135.e3. doi:10.1016/j.annepidem.2015.12.003.
http://www.ncbi.nlm.nih.gov/pubmed/26778285?dopt=Abstract
Rizzo A, Jing B, W Boscardin J, Shah SJ, Steinman MA. Can markers of disease severity improve the predictive power of claims-based multimorbidity indices?. Journal of the American Geriatrics Society. 2023;71(3):845-857. doi:10.1111/jgs.18150.
Brown RT, Komaiko KD, Shi Y, et al. Bringing functional status into a big data world: Validation of national Veterans Affairs functional status data. Hernandez-Boussard T, ed. PLoS One. 2017;12(6):e0178726. doi:10.1371/journal.pone.0178726 Free full text.
Carr DC, Jason K, Taylor M, Washington TR. A Brief Report on Older Working Caregivers: Developing a Typology of Work Environments. The Journal of Gerontology, Series B. 2022;77(7):1263-1268. doi:10.1093/geronb/gbab131.
Jenkins KRahrig. Body-weight change and physical functioning among young old adults. J Aging Health. 2004;16(2):248-66. doi:10.1177/0898264303262626.
http://www.ncbi.nlm.nih.gov/pubmed/15030665?dopt=Abstract
Nicklett EJ, Taylor RJoseph, Rostant O, Johnson KE, Evans L. Biopsychosocial Predictors of Fall Events Among Older African Americans. Research on Aging. 2017;39(4):501-525. doi:10.1177/0164027516651974.
Nelson NA, Jacobucci R, Grimm KJ, Zelinski E. The bidirectional relationship between physical health and memory. Psychology and Aging. 2020. doi:10.1037/pag0000579.
Andrea SB, Eisenberg-Guyot J, Oddo VM, Peckham T, Jacoby D, Hajat A. Beyond Hours Worked and Dollars Earned: Multidimensional EQ, Retirement Trajectories and Health in Later Life. Work Aging and Retirement. 2022;8(1):51-73. doi:10.1093/workar/waab012.