Abstract
Researchers investigating the relationship between education and mortality in industrialized countries have consistently shown that higher levels of education are associated with decreased mortality risk. The shape of the education–mortality relationship and how it varies by demographic group have been examined less frequently. Using the U.S. National Health Interview Survey-Linked Mortality Files, which link the 1986 through 2004 NHIS to the National Death Index through 2006, we examine the shape of the education–mortality curve by cohort, race/ethnicity, and gender. Whereas traditional regression models assume a constrained functional form for the dependence of education and mortality, in most cases semiparametric models allow us to more accurately describe how the association varies by cohort, both between and within race/ethnic and gender subpopulations. Notably, we find significant changes over time in both the shape and the magnitude of the education–mortality gradient across cohorts of women and white men, but little change among younger cohorts of black men. Such insights into demographic patterns in education and mortality can ultimately help increase life expectancies.
Similar content being viewed by others
Notes
We also estimated Cox proportional hazard models with penalized spline on the education term with both accelerated failure Weibull distributions and accelerated failure logged distributions. These two specifications, however, yielded very poor model fit and are therefore excluded from the results presented in the paper.
References
Adler, N. E., & Rehkopf, D. H. (2008). U.S. disparities in health: Descriptions, causes, and mechanisms. Annual Review of Public Health, 29, 235–252.
Altonji, J. G., & Blank, R. M. (1999). Race and gender in the labor market. Handbook of Labor Economics, 3, 3143–3259.
Antonovsky, A. (1967). Social class, life expectancy and overall mortality. Milbank Memorial Fund Quarterly, 45, 31–73.
Arrow, K. (1973). The theory of discrimination. In O. Ashenfelter & A. Rees (Eds.), Discrimination in labor markets (pp. 3–33). Princeton, NJ: Princeton University Press.
Backlund, E., Sorlie, P. D., & Johnson, N. J. (1999). A comparison of the relationships of education and income with mortality: The national longitudinal mortality study. Social Science & Medicine, 49, 1373–1384.
Bertrand, M., & Mullainathan, S. (2004). Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination. American Economic Review, 94, 991–1013.
Bonacich, E. (1976). Advanced capitalism and black/white race relations in the United States: A split labor market interpretation. American Sociological Review, 41, 34–51.
Brunner, E. (1997). Socioeconomic determinants of health: Stress and the biology of inequality. British Medical Journal, 314, 1472.
Buchmann, C., DiPrete, T. A., & McDaniel, A. (2008). Gender inequalities in education. Annual Review of Sociology, 34, 319–337.
Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference. Sociological Methods and Research, 33, 261–304.
Cancian, F. M., & Gordon, S. L. (1988). Changing emotion norms in marriage: Love and anger in US women’s magazines since 1900. Gender and Society, 2, 308–342.
Card, D., & Lemieux, T. (2011). Can falling supply explain the rising return to college for younger men? A cohort-based analysis. Quarterly Journal of Economics, 116, 705–746.
Donohue, J. J., I. I. I., & Heckman, J. (1991). Continuous versus episodic change: The impact of civil rights policy on the economic status of blacks. Journal of Economic Literature, 29, 1603–1643.
Eilers, P. H. C., & Marx, B. D. (1996). Flexible smoothing with B-splines and penalties. Statistical Science, 11, 89–102.
Elo, I. T., Martikainen, P., & Smith, K. P. (2006). Socioeconomic differentials in mortality in Finland and the United States: The role of education and income. European Journal of Population, 22, 179–203.
Everett, B. G., Rogers, R. G., Hummer, R. A., & Krueger, P. M. (2011). Trends in educational attainment by race/ethnicity, nativity, and sex in the United States, 1989–2005. Ethnic and Racial Studies, 34(9), 1543–1566.
Fryer, R. G. Jr., Heaton, P. S., Levitt, S. D., & Murphy, K. M. (2005). Measuring the impact of crack cocaine. NBER Working Paper, No. 11318.
Fuchs, V. R. (1968). The service economy. New York: National Bureau of Economic Research.
Goldin, C. (1977). Female labor force participation: The origin of black and white differences, 1870 and 1880. Journal of Economic History, 37, 87–108.
Goldin, C., & Katz, L. F. (1999). The returns to skill in the United States across the twentieth century. National Bureau of Economic Research Working Paper Series, No. 7126. Retrieved March 11, 2011 from http://www.nber.org/papers/w7126.
Goldin, C., & Katz, L. F. (2011). The origins of technology-skill complementarity. Quarterly Journal of Economics, 113, 693–732.
Hanushek, E. A., & Rivkin, S. G. (2006). School quality and the black–white achievement gap. NBER Working Paper, No. 12651.
Holzer, H. J. (2009). The labor market and young black men: Updating Moynihan’s perspective. Annals of the American Academy of Political and Social Science, 621, 47–69.
Holzer, H. J., Raphael, S., & Stoll, M. A. (2004). Will employers hire former offenders? Employer preferences, background checks, and their determinants. In M. Pattillo, D. Wieman, & B. Wester (Eds.), Imprisoning America: The social effects of mass incarceration (pp. 205–243). New York: Russell Sage Foundation.
Howell, D. R., & Wolff, E. N. (1991). Trends in the growth and distribution of skills in the U.S. workplace, 1960–1985. Industrial & Labor Relations Review, 44, 486–502.
Hummer, R. A., & Lariscy, J. T. (2011). Educational attainment and adult mortality. In R. G. Rogers & E. M. Crimmins (Eds.), International handbook of adult mortality (pp. 241–261). New York: Springer.
Hurvich, C. M., Simonoff, J. S., & Tsai, C.-L. (1998). Smoothing parameter selection in nonparametric regression using an improved Akaike Information Criterion. Journal of the Royal Statistical Society: Series B, 60, 271–293.
Jacobs, J. A. (1996). Gender inequality and higher education. Annual Review of Sociology, 22, 153–185.
Jemal, A., Ward, E., Hao, Y., & Thun, M. (2008). Mortality from leading causes by education and race in the United States, 2001. American Journal of Preventive Medicine, 34, 1–8.
Kitagawa, E. M., & Hauser, P. M. (1973). Differential mortality in the United States: A study in socioeconomic epidemiology. Cambridge, MA: Harvard University Press.
Kom, E. L., Graubard, B. I., & Midthune, D. (1997). Time-to-event analysis of longitudinal follow-up of a survey: Choice of the time-scale. American Journal of Epidemiology, 145, 72–80.
Krieger, N., Rowley, D. L., Herman, A. A., Avery, B., & Phillips, M. T. (1993). Racism, genderism, and social class: Implications for studies of health, disease, and well-being. American Journal of Preventive Medicine, 9(6), 312–323.
Kunitz, S. J. (2007). Sex, race and social role: History and the social determinants of health. International Journal of Epidemiology, 36, 3–10.
Levy, F., & Murnane, R. J. (1992). U.S. earnings levels and earnings inequality: A review of recent trends and proposed explanations. Journal of Economic Literature, 30, 1333–1381.
Lewis, T. T., Aiello, A. E., Leurgans, S., Kelly, J., & Barnes, L. (2010). Self-reported experiences of everyday discrimination are associated with elevated C-reactive protein levels in older African-American adults. Brain Behavior and Immunity, 24(3), 483–443.
Link, B. G., & Phelan, J. (1995). Social conditions as fundamental causes of disease. Journal of Health and Social Behavior, 35, 80–94.
Lochner, K., Hummer, R., Bartee, S., Wheatcroft, G., & Cox, C. (2008). The public-use National Health Interview Survey Linked Mortality Files: Methods of re-identification risk avoidance and comparative analysis. American Journal of Epidemiology, 168, 336–344.
Lynch, S. M. (2003). Cohort and life-course patterns in the relationship between education and health: A hierarchical approach. Demography, 40, 309–331.
Lynch, S. M. (2006). Explaining life course and cohort variation in the relationship between education and health: The role of income. Journal of Health and Social Behavior, 47, 324–338.
Masters, R. K., Hummer, R. A., & Powers, D. A. (2012). Educational differences in U.S. adult mortality: A cohort perspective. American Sociological Review, 77, 548–572.
Meara, E. R., Richards, S., & Cutler, D. M. (2008). The gap gets bigger: Changes in mortality and life expectancy, by education, 1981–2000. Health Affairs, 27, 350–360.
Miech, R., Pampel, F., Kim, J., & Rogers, R. G. (2011). The enduring association between education and mortality: The role of widening and narrowing disparities. American Sociological Review, 76, 913–934.
Mirowsky, J., & Ross, C. E. (1998). Education, personal control, lifestyle and health: A human capital hypothesis. Research on Aging, 20(4), 415–449.
Mirowsky, J., & Ross, C. E. (2003). Education, social status, and health. New York: Aldine de Gruyter.
Molla, M. T., Madans, J. H., & Wagener, D. K. (2004). Differentials in adult mortality and activity limitation by years of education in the United States at the end of the 1990s. Population and Development Review, 30, 625–646.
Montez, J. K., Hayward, M. D., Brown, D. C., & Hummer, R. A. (2009). Why is the educational gradient of mortality steeper for men? Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 64B, 625–634.
Montez, J. K., Hummer, R. A., & Hayward, M. (2012). Educational attainment and adult mortality in the United States: A systematic analysis of functional form. Demography, 49(1), 315–336.
National Center for Atmospheric Research (NCAR). (2012). Verification: Forecast verification utilities. R package version 1.34. Retrieved January 2013 from http://CRAN.R-project.org/package=verification.
National Center for Health Statistics. (2005). The 1986–2000 National Health Interview Survey Linked Mortality Files: Matching Methodology. Hyattsville, MD. Retrieved January 2010 from http://www.cdc.gov/nchs/data/datalinkage/matching_methodology_nhis_final.pdf.
National Center for Health Statistics. (2010). National Health Interview Survey, Linked Mortality Public-Use Data File: 1986–2006 Survey Years. Hyattsville, MD: U.S. Department of Health and Human Services.
Neal, D. (2006). Why has black–white skill convergence stopped? Handbook of the Economics of Education, 1, 511–576.
OECD. (2000). Employment outlook. Paris: OECD.
Olshansky, S. J., Antonucci, T., Berkman, L., Binstock, R. H., Boersch-Supan, A., Cacioppo, J. T., et al. (2012). Differences in life expectancy due to race and educational differences are widening, and many may not catch up. Health Affairs, 31, 1803–1813.
Pappas, G., Queen, S., Hadden, W., & Fisher, G. (1993). The increasing disparity in mortality between socioeconomic groups in the United States, 1960 and 1986. New England Journal of Medicine, 329, 103–109.
Phelan, J. C., Link, B. G., Diez-Roux, A., Kawachi, I., & Levin, B. (2004). Fundamental causes of social inequalities in mortality: A test of the theory. Journal of Health and Social Behavior, 45, 265–285.
Phelps, E. S. (1972). The statistical theory of racism and sexism. American Economic Review, 62, 659–661.
Preston, S. H., & Elo, I. T. (1995). Are educational differentials in adult mortality increasing in the United States? Journal of Aging and Health, 7, 476–496.
Ramsey, J., & Ripley, B. (2007). Pspline: Penalized smoothing splines. R package version 1–0.
Rehkopf, D., Berkman, L. F., Coull, B., & Krieger, N. (2008). The non-linear risk of mortality by income level in a healthy population: US National Health and Nutrition Examination Survey mortality follow-up cohort, 1988–2001. BMC Public Health, 8, 383.
Rehkopf, D. H., Krieger, N. H., Coull, B., & Berkman, L. F. (2010). Biologic risk markers for coronary heart disease: Nonlinear associations with income. Epidemiology, 21, 38–46.
Rogers, R. G., Everett, B. G., Zajacova, A., & Hummer, R. A. (2010). Educational degrees and adult mortality risk in the United States. Biodemography and Social Biology, 56, 80–99.
Rogers, R. G., Hummer, R. A., & Everett, B. G. (2012). Educational differentials in US adult mortality: An examination of mediating factors. Social Science Research. doi:10.1016/j.ssresearch.2012.09.003.
Rogers, R. G., Hummer, R. A., & Nam, C. B. (2000). Living and dying in the USA: Behavioral, health, and social differences in adult mortality. San Diego, CA: Academic Press.
Ross, C. E., Masters, R. K., & Hummer, R. A. (2012). Education and the gender gaps in health and mortality. Demography, 49, 1157–1183.
Ross, C. E., & Wu, C.-L. (1995). The links between education and health. American Sociological Review, 60(5), 719–745.
Ruppert, D., Wand, M. P., & Carroll, R. J. (2003). Semiparametric regression. Boston, MA: Cambridge University Press.
Ryan, A. M., Gee, G. C., & Laflamme, D. F. (2006). The association between self-reported discrimination, physical health, and blood pressure: Findings from African Americans, black immigrants, and Latino immigrants in New Hampshire. Journal of Health Care for the Poor and Underserved, 17, 116–132.
Steenland, K., Henley, J., & Thun, M. (2002). All-cause and cause-specific death rates by educational status for two million people in two American Cancer Society cohorts, 1959–1996. American Journal of Epidemiology, 156, 11–21.
Williams, D. R., Neighbors, H. W., & Jackson, J. S. (2008). Racial/ethnic discrimination and health: Findings from community studies. American Journal of Public Health, 98, S29–S37.
Wood, S. N. (2006). Generalized additive models: An introduction with R. Boca Raton, FL: CRC Press.
Zajacova, A. (2006). Education, gender, and mortality: Does schooling have the same effect on mortality for men and women in the US? Social Science & Medicine, 63, 2176–2190.
Zajacova, A., & Hummer, R. A. (2009). Gender differences in education effects on all-cause mortality for white and black adults in the United States. Social Science & Medicine, 69, 529–537.
Acknowledgments
This article was supported by Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) research (R01 HD053696) and infrastructure (R24 HD066613) grants, and by NICHD and Office of Research on Women’s health (ORWH) grant number K12HD055892. We thank the National Center for Health Statistics (NCHS) for collecting and assembling the data and generously making them available to the research public; Nancy Mann for expert editorial assistance; and the anonymous reviewers for insightful and helpful comments. The content of this manuscript is the sole responsibility of the authors and does not necessarily represent the official views of NIH, NICHD, or NCHS.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Everett, B.G., Rehkopf, D.H. & Rogers, R.G. The Nonlinear Relationship Between Education and Mortality: An Examination of Cohort, Race/Ethnic, and Gender Differences. Popul Res Policy Rev 32, 893–917 (2013). https://doi.org/10.1007/s11113-013-9299-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11113-013-9299-0