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The Nonlinear Relationship Between Education and Mortality: An Examination of Cohort, Race/Ethnic, and Gender Differences

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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.

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Notes

  1. 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.

    Article  Google Scholar 

  • Altonji, J. G., & Blank, R. M. (1999). Race and gender in the labor market. Handbook of Labor Economics, 3, 3143–3259.

    Article  Google Scholar 

  • Antonovsky, A. (1967). Social class, life expectancy and overall mortality. Milbank Memorial Fund Quarterly, 45, 31–73.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Brunner, E. (1997). Socioeconomic determinants of health: Stress and the biology of inequality. British Medical Journal, 314, 1472.

    Article  Google Scholar 

  • Buchmann, C., DiPrete, T. A., & McDaniel, A. (2008). Gender inequalities in education. Annual Review of Sociology, 34, 319–337.

    Article  Google Scholar 

  • Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference. Sociological Methods and Research, 33, 261–304.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Eilers, P. H. C., & Marx, B. D. (1996). Flexible smoothing with B-splines and penalties. Statistical Science, 11, 89–102.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Goldin, C. (1977). Female labor force participation: The origin of black and white differences, 1870 and 1880. Journal of Economic History, 37, 87–108.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Chapter  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Jacobs, J. A. (1996). Gender inequality and higher education. Annual Review of Sociology, 22, 153–185.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Kitagawa, E. M., & Hauser, P. M. (1973). Differential mortality in the United States: A study in socioeconomic epidemiology. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Kunitz, S. J. (2007). Sex, race and social role: History and the social determinants of health. International Journal of Epidemiology, 36, 3–10.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Link, B. G., & Phelan, J. (1995). Social conditions as fundamental causes of disease. Journal of Health and Social Behavior, 35, 80–94.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Lynch, S. M. (2003). Cohort and life-course patterns in the relationship between education and health: A hierarchical approach. Demography, 40, 309–331.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Mirowsky, J., & Ross, C. E. (1998). Education, personal control, lifestyle and health: A human capital hypothesis. Research on Aging, 20(4), 415–449.

    Article  Google Scholar 

  • Mirowsky, J., & Ross, C. E. (2003). Education, social status, and health. New York: Aldine de Gruyter.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Neal, D. (2006). Why has black–white skill convergence stopped? Handbook of the Economics of Education, 1, 511–576.

    Article  Google Scholar 

  • OECD. (2000). Employment outlook. Paris: OECD.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Phelps, E. S. (1972). The statistical theory of racism and sexism. American Economic Review, 62, 659–661.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Ross, C. E., Masters, R. K., & Hummer, R. A. (2012). Education and the gender gaps in health and mortality. Demography, 49, 1157–1183.

    Article  Google Scholar 

  • Ross, C. E., & Wu, C.-L. (1995). The links between education and health. American Sociological Review, 60(5), 719–745.

    Article  Google Scholar 

  • Ruppert, D., Wand, M. P., & Carroll, R. J. (2003). Semiparametric regression. Boston, MA: Cambridge University Press.

    Book  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Wood, S. N. (2006). Generalized additive models: An introduction with R. Boca Raton, FL: CRC Press.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

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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.

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Correspondence to Bethany G. Everett.

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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

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