HRS Bibliography

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Found 8037 results
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Aguirregabiria V. Evaluation of Social Security reforms under alternative models of retirement and savings. University of Western Ontario; 2001.
Agus DB, Gaudette É, Goldman DP, Messali A. The Long-Term Benefits of Increased Aspirin Use by At-Risk Americans Aged 50 and Older. Song Q, ed. PLoS One. 2016;11(11):e0166103. doi:10.1371/journal.pone.0166103.
http://www.ncbi.nlm.nih.gov/pubmed/27902693?dopt=Abstract
Ahituv A, Zeira J. Technical Progress and Early Retirement*. The Economic JournalThe Economic Journal. 2011;121(551):171 - 193. doi:10.1111/j.1468-0297.2010.02392.x.
Ahituv A, Zeira J. Technical progress and early retirement. Hebrew University of Jerusalem; 2001.
Ahmadi A. Essays on Long-Term Care Insurance: Risk Misperceptions, Suboptimal Timing, and Racial Disparities. 2022;Ph.D.
Ahmed S. Essays in Labor Economics. 2021;Ph.D.
Ahn S, Lingerfelt CN, Lee CEun, Lee J-A, Raynor HA, Anderson JG. Association of Adherence to high-intensity physical activity and the Mediterranean-dietary approaches to stop hypertension intervention for neurodegenerative delay diet with cognition: A cross-sectional study. International Journal of Nursing Studies. 2022;131:104243. doi:https://doi.org/10.1016/j.ijnurstu.2022.104243.
Ahn S. Influence of physical activity and the MIND diet on cognition. Alzheimer's Dementia. 2023;19(S8). doi:https://doi.org/10.1002/alz.062948.
Ahn SN, Kim S, Zhang H. Changes in Depressive Symptoms among Older Adults with Multiple Chronic Conditions: Role of Positive and Negative Social Support. Int J Environ Res Public Health. 2016;14(1). doi:10.3390/ijerph14010016.
http://www.ncbi.nlm.nih.gov/pubmed/28035968?dopt=Abstract
Ahn SN, Kim S, Zhang H, Dobalian A, Slavich G. Lifetime Adversity Prospectively Predicts Depression, Anxiety, and Cognitive Impairment in a Nationally Representative Sample of Older Adults in the United States. Forthcoming. doi:10.22541/au.167407887.71569947/v1.
Ailshire JA, Garcia K. Unequal Places: The Impacts of Socioeconomic and Race/Ethnic Differences in Neighborhoods. San Francisco, California: American Society on Aging; 2018:20-27.
Ailshire JA, Beltrán-Sánchez H, Crimmins EM. Social characteristics and health status of exceptionally long-lived Americans in the Health and Retirement Study. J Am Geriatr Soc. 2011;59(12):2241-8. doi:10.1111/j.1532-5415.2011.03723.x.
http://www.ncbi.nlm.nih.gov/pubmed/22188072?dopt=Abstract
Ailshire JA, Crimmins EM. Physical and biological indicators of health and functioning in U.S. oldest old. In: Robine J-M, Jagger C, Crimmins EM, eds. Annual Review of Gerontology and Geriatrics. Vol. 33. Annual Review of Gerontology and Geriatrics. New York: Springer; 2013:193-215.
Ailshire JA, Beltrán-Sánchez H, Crimmins EM. Becoming centenarians: disease and functioning trajectories of older US Adults as they survive to 100. J Gerontol A Biol Sci Med Sci. 2015;70(2):193-201. doi:10.1093/gerona/glu124.
http://www.ncbi.nlm.nih.gov/pubmed/25136001?dopt=Abstract
Ailshire JA, Crimmins EM. Fine particulate matter air pollution and cognitive function among older US adults. Am J Epidemiol. 2014;180(4):359-66. doi:10.1093/aje/kwu155.
http://www.ncbi.nlm.nih.gov/pubmed/24966214?dopt=Abstract
Ailshire JA, Walsemann KM, Fisk CE. Regional variation in U.S dementia trends from 2000-2012. SSM - Population Health. 2022;19:101164. doi:https://doi.org/10.1016/j.ssmph.2022.101164.
Ailshire JA, Crimmins EM. Psychosocial Factors Associated with Longevity in the United States: Age Differences between the Old and Oldest-Old in the Health and Retirement Study. J Aging Res. 2011;2011:530534. doi:10.4061/2011/530534.
http://www.ncbi.nlm.nih.gov/pubmed/22028969?dopt=Abstract
Ailshire JA, Walsemann KM. Education Differences in the Adverse Impact of PM2.5 on Incident Cognitive Impairment Among U.S. Older Adults. Journal of Alzheimer's Disease. 2021;79(2):615-625. doi:10.3233/JAD-200765.
Ailshire JA, Osuna M, Wilkens J, Lee J. Family caregiving and place of death: Insights from cross-national analysis of the Harmonized End of Life Data. The Journals of Gerontology: Series B . 2021;76(Supplement_1):S76-S85. doi:10.1093/geronb/gbaa225.
Airaksinen J, Gluschkoff K, Kivimäki M, Jokela M. Connectivity of depression symptoms before and after diagnosis of a chronic disease: A network analysis in the U.S. Health and Retirement Study. Journal of Affective Disorders. 2020;266:230 - 234. doi:https://doi.org/10.1016/j.jad.2020.01.170.
Ajmal A. Factors Associated with Advance Care Plans and End-of-life Care Choices Among Elderly Americans: An Analysis of Health and Retirement Study Data. Health Services and Policy Management. 2019;PhD:236.
Ajnakina O, Agbedjro D, McCammon RJ, et al. Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation. BMC Medical Research Methodology. 2021;21(1):8. doi:10.1186/s12874-020-01204-7.
Akamigbo AB, Wolinsky FD. New evidence of racial differences in access and their effects on the use of nursing homes among older adults. Med Care. 2007;45(7):672-9. doi:10.1097/MLR.0b013e3180455677.
http://www.ncbi.nlm.nih.gov/pubmed/17571016?dopt=Abstract
Akamigbo AB, Wolinsky FD. Reported expectations for nursing home placement among older adults and their role as risk factors for nursing home admissions. Gerontologist. 2006;46(4):464-73. doi:10.1093/geront/46.4.464.
http://www.ncbi.nlm.nih.gov/pubmed/16921000?dopt=Abstract
Akamigbo AB. Nursing home placement among older adults: A national study of risk perceptions, access and placement outcomes. 2007.