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The Contribution of Drug Overdose to Educational Gradients in Life Expectancy in the United States, 1992–2011

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  • Jessica Y. Ho

    (Duke University)

Abstract

Since the mid-1990s, the United States has witnessed a dramatic rise in drug overdose mortality. Educational gradients in life expectancy widened over the same period, and drug overdose likely plays a role in this widening, particularly for non-Hispanic whites. The contemporary drug epidemic is distinctive in terms of its scope, the nature of the substances involved, and its geographic patterning, which influence how it impacts different education groups. I use vital statistics and National Health Interview Survey data to examine the contribution of drug overdose to educational gradients in life expectancy from 1992–2011. I find that over this period, years of life lost due to drug overdose increased for all education groups and for both males and females. The contribution of drug overdose to educational gradients in life expectancy has increased over time and is greater for non-Hispanic whites than for the population as a whole. Drug overdose accounts for a sizable proportion of the increases in educational gradients in life expectancy, particularly at the prime adult ages (ages 30–60), where it accounts for 25 % to 100 % of the widening in educational gradients between 1992 and 2011. Drug overdose mortality has increased more rapidly for females than for males, leading to a gender convergence. These findings shed light on the processes driving recent changes in educational gradients in life expectancy and suggest that effective measures to address the drug overdose epidemic should take into account its differential burden across education groups.

Suggested Citation

  • Jessica Y. Ho, 2017. "The Contribution of Drug Overdose to Educational Gradients in Life Expectancy in the United States, 1992–2011," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 1175-1202, June.
  • Handle: RePEc:spr:demogr:v:54:y:2017:i:3:d:10.1007_s13524-017-0565-3
    DOI: 10.1007/s13524-017-0565-3
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    References listed on IDEAS

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    1. Seeman, Teresa & Merkin, Sharon S. & Crimmins, Eileen & Koretz, Brandon & Charette, Susan & Karlamangla, Arun, 2008. "Education, income and ethnic differences in cumulative biological risk profiles in a national sample of US adults: NHANES III (1988-1994)," Social Science & Medicine, Elsevier, vol. 66(1), pages 72-87, January.
    2. Hiram Beltran-Sanchez & Samuel Preston & Vladimir Canudas-Romo, 2008. "An integrated approach to cause-of-death analysis: cause-deleted life tables and decompositions of life expectancy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(35), pages 1323-1350.
    3. Oh, Joong-Hwan & Shin, Eui Hang, 2003. "Inequalities in nonfatal work injury: the significance of race, human capital, and occupations," Social Science & Medicine, Elsevier, vol. 57(11), pages 2173-2182, December.
    4. Keyes, K.M. & Cerdá, M. & Brady, J.E. & Havens, J.R. & Galea, S., 2014. "Understanding the rural-urban differences in nonmedical prescription opioid use and abuse in the United States," American Journal of Public Health, American Public Health Association, vol. 104(2), pages 52-59.
    5. Faul, M. & Dailey, M.W. & Sugerman, D.E. & Sasser, S.M. & Levy, B. & Paulozzi, L.J., 2015. "Disparity in naloxone administration by emergency medical service providers and the burden of drug overdose in US rural communities," American Journal of Public Health, American Public Health Association, vol. 105, pages 26-32.
    6. Elo, Irma T. & Preston, Samuel H., 1996. "Educational differentials in mortality: United States, 1979-1985," Social Science & Medicine, Elsevier, vol. 42(1), pages 47-57, January.
    7. Jonas, Adam B. & Young, April M. & Oser, Carrie B. & Leukefeld, Carl G. & Havens, Jennifer R., 2012. "OxyContin® as currency: OxyContin® use and increased social capital among rural Appalachian drug users," Social Science & Medicine, Elsevier, vol. 74(10), pages 1602-1609.
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    Cited by:

    1. Arun S. Hendi, 2017. "Trends in Education-Specific Life Expectancy, Data Quality, and Shifting Education Distributions: A Note on Recent Research," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 1203-1213, June.
    2. Jessica Y. Ho, 2020. "Cycles of Gender Convergence and Divergence in Drug Overdose Mortality," Population and Development Review, The Population Council, Inc., vol. 46(3), pages 443-470, September.
    3. Yana C. Vierboom, 2020. "Trends in Alcohol-Related Mortality by Educational Attainment in the U.S., 2000–2017," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 39(1), pages 77-97, February.
    4. Lindsey Rose Bullinger & Benjamin C. Ward, 2021. "What about the children? How opioid use affects child well‐being," Contemporary Economic Policy, Western Economic Association International, vol. 39(4), pages 737-759, October.
    5. Anne Case & Angus Deaton, 2023. "Accounting for the Widening Mortality Gap Between Adult Americans with and without a BA," NBER Working Papers 31236, National Bureau of Economic Research, Inc.
    6. Bullinger, Lindsey Rose & Wing, Coady, 2019. "How many children live with adults with opioid use disorder?," Children and Youth Services Review, Elsevier, vol. 104(C), pages 1-1.
    7. Hendi, Arun S. & Elo, Irma T. & Martikainen, Pekka, 2021. "The implications of changing education distributions for life expectancy gradients," Social Science & Medicine, Elsevier, vol. 272(C).
    8. Peter Congdon, 2019. "Geographical Patterns in Drug-Related Mortality and Suicide: Investigating Commonalities in English Small Areas," IJERPH, MDPI, vol. 16(10), pages 1-17, May.
    9. David M. Cutler & Edward L. Glaeser, 2021. "When Innovation Goes Wrong: Technological Regress and the Opioid Epidemic," Journal of Economic Perspectives, American Economic Association, vol. 35(4), pages 171-196, Fall.
    10. Arun S. Hendi, 2019. "Proximate Sources of Change in Trajectories of First Marriage in the United States, 1960–2010," Demography, Springer;Population Association of America (PAA), vol. 56(3), pages 835-862, June.
    11. Smart, Rosanna & Powell, David & Pacula, Rosalie Liccardo & Peet, Evan & Abouk, Rahi & Davis, Corey S., 2024. "Investigating the complexity of naloxone distribution: Which policies matter for pharmacies and potential recipients," Journal of Health Economics, Elsevier, vol. 97(C).
    12. Enrique Acosta & Alain Gagnon & Nadine Ouellette & Robert R. Bourbeau & Marilia R. Nepomuceno & Alyson A. van Raalte, 2020. "The boomer penalty: excess mortality among baby boomers in Canada and the United States," MPIDR Working Papers WP-2020-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    13. Shannon M. Monnat, 2022. "Demographic and Geographic Variation in Fatal Drug Overdoses in the United States, 1999–2020," The ANNALS of the American Academy of Political and Social Science, , vol. 703(1), pages 50-78, September.

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