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State-Level Variation in the Association Between Educational Attainment and Sleep

Author

Listed:
  • Connor Sheehan

    (Arizona State University)

  • Anna Zajacova

    (University of Western Ontario)

  • Dylan Connor

    (Arizona State University)

  • Jennifer Karas Montez

    (Syracuse University)

Abstract

Demographers have consistently documented the importance of educational attainment for population-health. However, it is becoming increasingly clear that the relationship between educational attainment and health varies considerably across contexts. This study examines how the education-sleep association varies across U.S. states to glean insights into whether and how states may shape the importance of education for sleep and for which education level(s) there is the most state-level variation. Using data from the 2014, 2016, and 2018 Behavioral Risk Factor Surveillance System survey (n = 798,242), we fit multinomial regression models predicting self-reported sleep duration (normal-sleep of seven to eight hours as base, short-sleep of six or fewer hours, and long-sleep of nine or more hours) from education and state of residence, before and after adjusting for demographic, socioeconomic, behavior-related, and health covariates. We find that the education-sleep association varies considerably across states. This variation is driven primarily by the low-educated; those with high levels of education have similarly advantaged sleep durations across states. We show that adjusting for socioeconomic, behavioral and health covariates explained most of the state level education-sleep variation and that health factors were especially important for short-sleep while socioeconomic factors were especially important for long-sleep, suggesting that policies that minimize health and socioeconomic disparities across states could minimize educational inequality in sleep and educational variation across states. Our findings thus document variation across states in the education-sleep association and suggest that those with lower levels of education may be most vulnerable to state characteristics.

Suggested Citation

  • Connor Sheehan & Anna Zajacova & Dylan Connor & Jennifer Karas Montez, 2022. "State-Level Variation in the Association Between Educational Attainment and Sleep," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 1137-1160, June.
  • Handle: RePEc:kap:poprpr:v:41:y:2022:i:3:d:10.1007_s11113-021-09684-1
    DOI: 10.1007/s11113-021-09684-1
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    References listed on IDEAS

    as
    1. Nelson, D.E. & Powell-Griner, E. & Town, M. & Kovar, M.G., 2003. "A Comparison of National Estimates from the National Health Interview Survey and the Behavioral Risk Factor Surveillance System," American Journal of Public Health, American Public Health Association, vol. 93(8), pages 1335-1341.
    2. Montez, J.K. & Zajacova, A. & Hayward, M.D., 2017. "Disparities in disability by educational attainment across US states," American Journal of Public Health, American Public Health Association, vol. 107(7), pages 1101-1108.
    3. Anna Zajacova & Sarah Burgard, 2013. "Healthier, Wealthier, and Wiser: A Demonstration of Compositional Changes in Aging Cohorts Due to Selective Mortality," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(3), pages 311-324, June.
    4. Bridget J. Goosby & Elizabeth Straley & Jacob E. Cheadle, 2017. "Discrimination, Sleep, and Stress Reactivity: Pathways to African American-White Cardiometabolic Risk Inequities," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(5), pages 699-716, October.
    5. Dylan Shane Connor & Michael Storper, 2020. "The changing geography of social mobility in the United States," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(48), pages 30309-30317, December.
    6. repec:aph:ajpbhl:10.2105/ajph.2017.303768_5 is not listed on IDEAS
    7. Aïda Solé-Auró & Hiram Beltrán-Sánchez & Eileen Crimmins, 2015. "Are Differences in Disability-Free Life Expectancy by Gender, Race, and Education Widening at Older Ages?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 34(1), pages 1-18, February.
    8. Richard Williams, 2012. "Using the margins command to estimate and interpret adjusted predictions and marginal effects," Stata Journal, StataCorp LP, vol. 12(2), pages 308-331, June.
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