HRS Bibliography

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Samper-Ternent R, Kuo YFang, Ray LA, Ottenbacher KJ, Markides KS, Snih SAl. Prevalence of Health Conditions and Predictors of Mortality in Oldest Old Mexican Americans and Non-Hispanic Whites. Journal of the American Medical Directors Association. 2012;13(3):254 - 259. doi:10.1016/j.jamda.2010.07.010.
Samuels R. Customized Benefits, Financial Literacy Are Key to Closing the Racial Retirement Savings Gap.
Samwick AA. Means Testing Federal Health Entitlement Benefits. Tax Policy and the Economy. 2018;32(1):173 - 210. doi:10.3386/w23990.
Samwick AA, Wise DA. Option Value Estimation with HRS Data. In: Ogura S, Tachibanaki T, Wise DA, eds. Labor Markets and Firm Benefit Policies in Japan and the United States. Labor Markets and Firm Benefit Policies in Japan and the United States. Chicago: University of Chicago Press; 2003:205-228.
Sanchez-Arias R, Batista RW. Unsupervised Learning on the Health and Retirement Study using Geometric Data Analysis. In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). Boca Raton, FL, USA: IEEE; 2019. doi:10.1109/ICMLA.2019.00063.
Sanchez-Niubo A, Forero CG, Wu Y-T, et al. Development of a common scale for measuring healthy ageing across the world: results from the ATHLOS consortium. International Journal of Epidemiology. 2021;50(3):880-892. doi:10.1093/ije/dyaa236.
Sanchez-Niubo A, Egea-Cortés L, Olaya B, et al. Cohort Profile: The Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project. International Journal of Epidemiology. 2019;48(4):1052-1053i. doi:10.1093/ije/dyz077.
Sanghvi DEnna, Chen MShuquan, Bonanno GA. Prospective trajectories of depression predict mortality in cancer patients. Journal of Behavioral Medicine. Forthcoming. doi:10.1007/s10865-024-00485-3.
Sanguinetti TP. Decision-Making in Health Insurance Markets. Philosophy. 2020;Doctor of Philosophy.
Sanses TVD. Functional Status and Muscle Evaluation in Older Women with Urinary Incontinence. Epidemiology and Preventive Medicine. 2019;M.S.:103.
Sanses TVD, Schiltz NK, Couri BM, et al. Functional status in older women diagnosed with pelvic organ prolapse. Am J Obstet Gynecol. 2016;214(5):613.e1-7. doi:10.1016/j.ajog.2015.11.038.
http://www.ncbi.nlm.nih.gov/pubmed/26704893?dopt=Abstract
Santiago AM, Muschkin CG. Disentangling the effects of disability status and gender on the labor supply of Anglo, black, and Latino older workers. Gerontologist. 1996;36(3):299-310. doi:10.1093/geront/36.3.299.
http://www.ncbi.nlm.nih.gov/pubmed/8682328?dopt=Abstract
Santosa A, Ng N, Zetterberg L, Eriksson M. Study Protocol: Social Capital as a Resource for the Planning and Design of Socially Sustainable and Health Promoting Neighborhoods- A Mixed Method Study. Front Public Health. 2020;8:581078. doi:10.3389/fpubh.2020.581078.
Sanz-de-Galdeano A, Terskaya A, Upegui A. Association of a genetic risk score with BMI along the life-cycle: Evidence from several US cohorts. PLoS One. 2020;15(9):e0239067. doi:10.1371/journal.pone.0239067.
http://www.ncbi.nlm.nih.gov/pubmed/32941506?dopt=Abstract
Sanzenbacher GT, Wu AYanyuan, Rutledge MS. The Impact of Temporary Assistance Programs on the Social Security Claiming Age. Chestnut Hill, MA: Center for Retirement Research at Boston College; 2015:1-331.
Sanzenbacher GT, Sass SA, Gillis CM. How job changes affect retirement timing by socioeconomic status. Boston: Center for Retirement Research at Boston College; 2017.
Sanzenbacher GT, Belbase A. Cognitive Impairment and Social Security’s Representative Payee Program. Center for Retirement Research at Boston College; 2016.
Sargent-Cox KA, Anstey KJ, Kendig H, Skladzien E. Determinants of retirement timing expectations in the United States and Australia: a cross-national comparison of the effects of health and retirement benefit policies on retirement timing decisions. J Aging Soc Policy. 2012;24(3):291-308. doi:10.1080/08959420.2012.676324.
http://www.ncbi.nlm.nih.gov/pubmed/22720888?dopt=Abstract
Sarpong E. Essays in Labor Economics: Alcohol consumption and socioeconomic outcomes. Economics. 2007;Doctor of Philosophy.
Sarraf MA, Menie MAWoodley, Peñaherrera-Aguirre M. The anti-Wilson effect: The decrease in heritability of general cognitive ability, as proxied by polygenic expressivity, with advanced age. Personality and Individual Differences. 2023;202:111969. doi:https://doi.org/10.1016/j.paid.2022.111969.
Sass SA, Sun W, Webb A. When Should Married Men Claim Social Security Benefits?. Boston: Center for Retirement Research at Boston College; 2008.
Sasson I, Umberson D. Widowhood and depression: new light on gender differences, selection, and psychological adjustment. The journals of gerontology. Series B, Psychological sciences and social sciences. 2014;69(1):135.
Sathyan S, Ayers E, Adhikari D, et al. Biological Age Acceleration and Motoric Cognitive Risk Syndrome. Ann Neurol. 2023. doi:10.1002/ana.26624.
Sathyan S, Wang T, Ayers E, Verghese J. Genetic basis of motoric cognitive risk syndrome in the Health and Retirement Study. Neurology. 2019;92(13):e1427-e1434. doi:10.1212/WNL.0000000000007141.
http://www.ncbi.nlm.nih.gov/pubmed/30737336?dopt=Abstract
Sato K, Noguchi H, Inoue K, Kawachi I, Kondo N. Retirement and cardiovascular disease: a longitudinal study in 35 countries. Int J Epidemiol. 2023. doi:10.1093/ije/dyad058.