HRS Bibliography

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Tembhe A, Preisser JS, Batorsky A, Weintraub JA. Ten-year cross-sectional and longitudinal assessment and factors associated with unfavourable self-rated oral health in older adults in the United States. Gerodontology. 2023. doi:10.1111/ger.12710.
Eng CW, Mayeda ER, Gilsanz P, Whitmer RA, Kim AS, M. Glymour M. Temporal Trends in Stroke-Related Memory Change: Results From a US National Cohort 1998-2016. Stroke. 2021;52(5):1702-1711. doi:10.1161/STROKEAHA.120.031063.
Hamad R, Walter S, Rehkopf D. Telomere length and health outcomes: A two-sample genetic instrumental variables analysis. Exp Gerontol. 2016;82:88-94. doi:10.1016/j.exger.2016.06.005.
http://www.ncbi.nlm.nih.gov/pubmed/27321645?dopt=Abstract
Poterba JM, Wise DA, Venti SF. Tapping Assets in Retirement: Which Assets, How, and When?. NBER; 2008.
Levy HG, Weir DR. Take-up of Medicare Part D: results from the Health and Retirement Study. J Gerontol B Psychol Sci Soc Sci. 2010;65(4):492-501. doi:10.1093/geronb/gbp107.
http://www.ncbi.nlm.nih.gov/pubmed/20034992?dopt=Abstract
Levy HG, Weir DR. Take-Up of Medicare Part D and the SSA Subsidy: Early Results from the Health and Retirement Study. Cambridge, MA, National Bureau of Economic Research, Working Paper 14692; 2009.

S

Higgins C, Ware EB, Hicken M, Zawistowski M, Bakulski KM. Systemic inflammation is associated with dementia status in the health and retirement study. 2023. doi:10.1002/alz.053316.
Hauser RM, Willis RJ. Survey Design and Methodology in the Health and Retirement Study and the Wisconsin Longitudinal Study. In: Waite LJ, ed. Aging, Health and Public Policy: Demographic and Economic Perspectives. Vol. 30. Aging, Health and Public Policy: Demographic and Economic Perspectives. New York: Population Council; 2005:209-235. doi:10.7826/isr-um.06.585031.001.05.0012.2005.PDF icon Download PDF (165.87 KB)
Hauser RM, Willis RJ. Survey Design and Methodology in the Health and Retirement Study and the Wisconsin Longitudinal Study. In: Waite LJ, ed. Aging, Health and Public Policy: Demographic and Economic Perspectives. Vol. 30. Aging, Health and Public Policy: Demographic and Economic Perspectives. New York: Population Council; 2005:209-235. doi:10.7826/isr-um.06.585031.001.05.0012.2005.PDF icon Download PDF (165.87 KB)
Shi Y, Warner DO. Surgery as a teachable moment for smoking cessation. Anesthesiology. 2010;112(1):102-7. doi:10.1097/ALN.0b013e3181c61cf9.
http://www.ncbi.nlm.nih.gov/pubmed/19996946?dopt=Abstract
Haveman R, Holden KC, Wolfe B, Romanov A. The Sufficiency of Retirement Savings: Comparing Cohorts at the Time of Retirement. In: Redefining Retirement: How Will Boomers Fare?. Redefining Retirement: How Will Boomers Fare? New York, NY: Oxford University Press; 2007.
Hurd MD, McFadden D, Gan L. Subjective Survival Curves and Life Cycle Behavior. In: Wise DA, ed. Inquiries in the Economics of Aging. Inquiries in the Economics of Aging. Chicago and London: University of Chicago Press; 1998:259 -305.
Chen B, Covinsky KE, Cenzer I, Adler NE, Williams BA. Subjective social status and functional decline in older adults. J Gen Intern Med. 2012;27(6):693-9. doi:10.1007/s11606-011-1963-7.
http://www.ncbi.nlm.nih.gov/pubmed/22215272?dopt=Abstract
Wan X, Lighthall NR, Paulson D. Subjective markers of successful aging and change in Internet use among older adults: The distinctive role of subjective health. Computers in Human Behavior. 2022;127:107064. doi:https://doi.org/10.1016/j.chb.2021.107064.
Wang Y. Subjective Expectations: Test for Bias and Implications for Choices. 2009.
Wu B. Subjective cognitive impairment of older adults: a comparison between the US and China. International Journal of Methods in Psychiatric Research. 2016;25(1):68-75. doi:10.1002/mpr.1499.
Stephan Y, Sutin AR, Wurm S, Terracciano A. Subjective Aging and Incident Cardiovascular Disease. The Journals of Gerontology: Series B. 2021;76(5):910-919. doi:10.1093/geronb/gbaa106.
Ward L. Study Shows One Way to Extend Working Years. Journal Reports: Wealth Management.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.