HRS Bibliography

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Choi H, Steptoe A, Heisler MM, et al. Comparison of Health Outcomes Among High- and Low-Income Adults Aged 55 to 64 Years in the US vs England. JAMA Intern Med. 2020. doi:10.1001/jamainternmed.2020.2802.
Kim N, Jacobson M. Comparison of catastrophic out-of-pocket medical expenditure among older adults in the United States and South Korea: what affects the apparent difference?. BMC Health Services Research. 2022;22(1):1202. doi:10.1186/s12913-022-08575-1.
Miller B, Arpawong TE, Jiao H, et al. Comparing the utility of mitochondrial and nuclear DNA to adjust for genetic ancestry in association studies. Cells. 2019;8(4). doi:10.3390/cells8040306.
http://www.ncbi.nlm.nih.gov/pubmed/30987182?dopt=Abstract
Jain U, Sheehan CM. Comparative Analysis of Gender and Age Patterns in Informal Care Received among Disabled Older Adults: A Cross-National Study across the United States, Mexico, China, and Indonesia. journal of Cross Cultural Gerontology. Forthcoming. doi:10.1007/s10823-023-09488-0.
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
Robbins R, Sonnega A, II RWTurner, Jean-Louis G, Langa KM. COGNITIVE IMPAIRMENT AND SLEEP DIFFICULTIES OVER 10 YEARS IN A NATIONAL SAMPLE OF OLDER ADULTS. Innovation in Aging. 2019;3(Suppl 1):S453 - S453.
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.
Jacobs L. CHANGES IN NEW DISABILITY AWARDS: UNDERSTANDING TRENDS AND LOOKING AHEAD. Chestnut Hill, MA: Center for Retirement Research at Boston College; 2021.
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.