HRS Bibliography

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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
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
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. Bonn, Germany: IZA Institute of Labor Economics; 2020.
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, Belbase A. Cognitive Impairment and Social Security’s Representative Payee Program. Center for Retirement Research at Boston College; 2016.
Sanzenbacher GT, Sass SA, Gillis CM. How job changes affect retirement timing by socioeconomic status. Boston: Center for Retirement Research at Boston College; 2017.
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.
Sarpong E. Essays in Labor Economics: Alcohol consumption and socioeconomic outcomes. Economics. 2007;Doctor of Philosophy.
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, 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
Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics. 2018;50(7):912 - 919. doi:10.1038/s41588-018-0152-6.
Savva GM, Maty SC, Setti A, Feeney J. Cognitive and Physical Health of the Older Populations of England, the United States, and Ireland: International Comparability of The Irish Longitudinal Study on Ageing. Journal of the American Geriatrics Society. 2013;61:S291-S298. doi:http://dx.doi.org/10.1111/jgs.12196.
Saxena A. Effect of Retirement on Health and Mortality. Public Health. 2018;Master of Science:231.
Schaller J, Eck C. Adverse Life Events and Intergenerational Transfers. W.E. Upjohn Institute for Employment Research; 2019. doi:10.17848/wp19-313.
Schaller J, Eck C. Family Support in Hard Times: Dynamics of Intergenerational Exchange after Adverse Events. Cambridge, MA: National Bureau of Economic Research; 2020. doi:10.3386/w28295.
Schapmire TJ. Emotional distress in older adults with cancer: A multilevel longitudinal study. 2012;Ph.D.:218.
Schapmire TJ, Faul AC. Depression symptoms in older adults with cancer: A multilevel longitudinal study. Journal of Psychosocial Oncology. 2017;35(3):260-277. doi:10.1080/07347332.2017.1286698.
Scherbov S, Arpino B, Bordone V. Subjective Life Expectancy: Differences by Smoking, Education and Gender. In: European Population Conference 2016. European Population Conference 2016. ; 2016.
Schildberg-Hörisch H. Are Risk Preferences Stable?. Journal of Economic Perspectives. 2018;32(2):135 - 154. doi:10.1257/jep.32.2.135.
Schiltz NK, Warner DF, Sun J, et al. Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach. Med Care. 2017;55(3):276-284. doi:10.1097/MLR.0000000000000660.
http://www.ncbi.nlm.nih.gov/pubmed/27753745?dopt=Abstract
Schiltz NK, Dolansky MA, Warner DF, Stange KC, Gravenstein S, Koroukian SM. Impact of Instrumental Activities of Daily Living Limitations on Hospital Readmission: an Observational Study Using Machine Learning. Journal of General internal Medicine. 2020. doi:https://doi.org/10.1007/s11606-020-05982-0.
Schiltz NK, Warner DF, Smyth KA, Gravenstein S, Stange KC, Koroukian SM. The Influence of Multimorbidity on Leading Causes of Death in Older Adults With Cognitive Impairment. Journal of Aging & Health. 2019;31(6). doi:10.1177/0898264317751946.
http://www.ncbi.nlm.nih.gov/pubmed/29347865?dopt=Abstract
Schimmel J. The Effect of Health Insurance on the Health, Health Care, and Labor Market Outcomes of the Near-Elderly: Evidence from the Health and Retirement Study. 2005.