The Benefits of Educational Attainment for U.S. Adult Mortality: Are they Contingent on the Broader Environment?
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The growing recognition that educational attainment is one of the strongest preventive factors for adult health and longevity has fueled an interest in educational attainment as a population health strategy. However, less attention has been given to identifying social, economic, and behavioral resources that may moderate the health and longevity benefits of education. We draw on theories of resource substitution and multiplication to examine the extent to which the education–mortality association is contingent on other resources (marriage, employment, income, healthy lifestyles). We use data on adults aged 30–84 in the 1997–2006 National Health Interview Survey Linked Mortality File and estimate discrete-time event history models stratified by gender (N = 146,558; deaths = 10,399). We find that the mortality benefits of education are generally largest for adults—especially women—who have other resources such as employment and marriage, supporting the theory of resource multiplication. Nonetheless, our results also imply that other resources can potentially attenuate the mortality disadvantages (advantages) associated with low (high) levels of education. The findings suggest that efforts to improve population health and longevity by raising education levels should be augmented with strategies that assure widespread access to social, economic, and behavioral resources.
KeywordsEducation Gradient Mortality Gender NHIS-LMF
- Allison, P. (1995). Survival analysis using SAS: A practical guide. Cary, NC: SAS Institute Inc.Google Scholar
- Dziak, J. J., Coffman, D. L., Lanza, S. T., & Li, R. (2012). Sensitivity and specificity of information criteria. Technical report series #12-119. The Pennsylvania State University: The Methodology Center, College of Health and Human Development.Google Scholar
- House, J. S., Schoeni, R. F., Kaplan, G. A., & Pollack, H. (2008). The health effects of social and economic policy: The promise and challenge for research and policy. In R. F. Schoeni, J. S. House, G. A. Kalpan, & H. Pollack (Eds.), Making Americans healthier: Social and economic policy as health policy (pp. 1–26). New York: Russell Sage Foundation.Google Scholar
- Ingram, D. D., Lochner, K. A., & Cox, C. S. (2008). Mortality experience of the 1986–2000 National Health Interview Survey linked mortality files participants. Hyattsville, MD: National Center for Health Statistics.Google Scholar
- Minnesota Population Center. (2012). Minnesota population center and state health access data assistance center, integrated health i nterview s eries: Version 5.0. Minneapolis: University of Minnesota. Available via http://www.ihis.us.
- Mirowsky, J., & Ross, C. E. (2003). Education, social status, and health. New York: Aldine de Gruyter.Google Scholar
- Mirwosky, J. (2012). Analyzing associations between mental health and social circumstances. In C. S. Aneshensel, J. C. Phelan, & A. Bierman (Eds.), Handbook of the sociology of mental health (2nd ed., pp. 143–165). New York: Springer.Google Scholar
- NCHS. (2009). The National Health Interview Survey (1986–2004) linked mortality files, mortality follow-up through 2006: Matching methodology. Hyattsville, MD: NCHS.Google Scholar
- Raghunathan, T. E., Solenberger, P. W., & Van Hoewyk, J. (2002). IVEware: Imputation and Variance Estimation Software Users Guide. Ann Arbor, MI: University of Michigan.Google Scholar
- Smith, J. P. (2004). Unraveling the SES-health connection. Population and Development Review, 30(Suppl), 108–132.Google Scholar
- United Nations. (n.d.). Millen nium development goals and beyond 2015. Available at http://www.un.org/millenniumgoals/.
- Waite, L. J., & Gallagher, M. (2000). The case for marriage: Why married people are happier, healthier, and better off financially. New York, NY: Doubleday.Google Scholar