HRS Bibliography

Bibliography Search
Export 456 results:
Filters: First Letter Of Title is S  [Clear All Filters]

S

Kington R, Smith JP. Socioeconomic Status and Racial and Ethnic Differences in Functional Status Associated with Chronic Diseases. American Journal of Public Health. 1997;87(5):805-10.
Cutler DM, Meara E, Stewart S. Socioeconomic Status and the Experience of Pain: An Example from Knees. Cambridge, MA: The National Bureau of Economic Research; 2020. doi:10.3386/w27974.
Wilson SE. Socioeconomic status and the prevalence of health problems among married couples in late midlife. Am J Public Health. 2001;91(1):131-5. doi:10.2105/ajph.91.1.131.
http://www.ncbi.nlm.nih.gov/pubmed/11189807?dopt=Abstract
Li W. Socioeconomic Status, Dietary Patterns, and Cardiovascular Risk Factors in an Aging Population. Epidemiological Science. 2019;PhD:149.
Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study. BMJ. 2018;360:k1046. doi:10.1136/bmj.k1046.
Silver MPannor. Socio-economic status over the lifecourse and internet use in older adulthood. Ageing and Society. 2014;34(6):1019-1034. doi:10.1017/s0144686x12001420.
Xu X, Liang J, Bennett JM, Botoseneanu A, Allore HG. Socioeconomic stratification and multidimensional health trajectories: evidence of convergence in later old age. J Gerontol B Psychol Sci Soc Sci. 2015;70(4):661-71. doi:10.1093/geronb/gbu095.
http://www.ncbi.nlm.nih.gov/pubmed/25161216?dopt=Abstract
Mills MC, Barban N, Tropf FC. The Sociogenomics of Polygenic Scores of Reproductive Behavior and Their Relationship to Other Fertility Traits. RSF: The Russell Sage Foundation Journal of the Social Sciences. 2018;4(4):122-136. doi:10.7758/rsf.2018.4.4.07.
Marak C. Solo agers plan to age alone without the help of nearby family or close friends. The Kentucky Standard. http://www.kystandard.com/content/solo-agers-plan-age-alone-without-help-nearby-family-or-close-friends. Published 2017.
Rodgers WL, Nolte MA. Solving problems of disclosure risk in an academic setting: using a combination of restricted data and restricted access methods. J Empir Res Hum Res Ethics. 2006;1(3):85-98. doi:10.1525/jer.2006.1.3.85.
http://www.ncbi.nlm.nih.gov/pubmed/19385825?dopt=Abstract
Demirkan A, Lahti J, Direk N, et al. Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies. Psychol Med. 2016;46(8):1613-23. doi:10.1017/S0033291715002081.
http://www.ncbi.nlm.nih.gov/pubmed/26997408?dopt=Abstract
Kolata G. Some Chronically Ill Adults Wait for Medicare to Arrive. New York Times. 2007.
Hill MJ, Maestas N, Mullen KJ. Source of health insurance coverage and employment survival among newly disabled workers: Evidence from the health and retirement study. Universitat Pompeu Fabra; 2014.
Fang H, Keane MP, Silverman DS. Sources of Advantageous Selection: Evidence from the Medigap Insurance Market. Journal of Political Economy. 2008;116(2):303-350. doi:https://doi.org/10.1086/587623.
Bosworth B, Burtless GT, Zhang K. Sources of Increasing Differential Mortality Among the Aged by Socioeconomic Status. Boston College; 2015.
Wilson RS, Weir DR, Leurgans SE, et al. Sources of variability in estimates of the prevalence of Alzheimer's disease in the United States. Alzheimers Dement. 2011;7(1):74-9. doi:10.1016/j.jalz.2010.11.006.
http://www.ncbi.nlm.nih.gov/pubmed/21255745?dopt=Abstract
Smith JP, Stafford F, Walker JR. Special Issue on Cross-National Comparative Research Using Panel Surveys (Introduction). Journal of Human Resources. 2003;38(2):231-240. doi:10.2307/1558744.
Perna M, Stempien J. Spending in retirement: How you just might find what you want and what you need. Atlanta: PGIM; 2020.
Wolfe B, Brazier R. Spending in retirement…or not?. New York City, NY: BlackRock; 2017.
Spending Patterns in Retirement: Retirees are Slow to Exhaust their Assets. Washington, DC: Employee Benefit Research Institute ; 2018:1-2.
Hurd MD, Rohwedder S. Spending Patterns in the Older Population. In: Drolet A, Schwarz N, Yoon C, eds. Aging Consumer: Perspectives from Psychology and Economics. Aging Consumer: Perspectives from Psychology and Economics. New York: Routledge; 2010:25-49.
Levingston I. Spotting Alzheimer’s Early Could Save America $7.9 Trillion. Bloomberg. https://www.bloomberg.com/news/articles/2018-03-20/u-s-is-said-to-plan-heavy-china-tariff-hit-as-soon-as-this-week. Published 2018.
Han SHwang, Kim K, Burr JA. Spousal Activity Limitations and Depressive Symptoms: Benefits of Spousal Caregiving and Costs of Spousal Pain. Innovation in Aging. 2020;4(Suppl 1):354. doi:10.1093/geroni/igaa057.1138.
Hoppmann CA, Gerstorf D, Hibbert A. Spousal associations between functional limitation and depressive symptom trajectories: Longitudinal findings from the study of Asset and Health Dynamics Among the Oldest Old (AHEAD). Health Psychol. 2011;30(2):153-62. doi:10.1037/a0022094.
http://www.ncbi.nlm.nih.gov/pubmed/21401249?dopt=Abstract
Springer KW, Lee C, Carr D. Spousal breadwinning across 30 years of marriage and husbands' health: A gendered life course stress approach. Journal of Aging and Health. 2019;31(1):37-66. doi:10.1177/0898264317721824.
http://www.ncbi.nlm.nih.gov/pubmed/28782397?dopt=Abstract