IDEAS home Printed from https://ideas.repec.org/a/kap/poprpr/v41y2022i3d10.1007_s11113-021-09684-1.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11113-021-09684-1
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11113-021-09684-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. 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.
    3. repec:aph:ajpbhl:10.2105/ajph.2017.303768_5 is not listed on IDEAS
    4. 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.
    5. 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.
    6. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sakaue, Katsuki, 2018. "Informal fee charge and school choice under a free primary education policy: Panel data evidence from rural Uganda," International Journal of Educational Development, Elsevier, vol. 62(C), pages 112-127.
    2. Birgitte Grøgaard & Asmund Rygh & Gabriel R. G. Benito, 2019. "Bringing corporate governance into internalization theory: State ownership and foreign entry strategies," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(8), pages 1310-1337, October.
    3. Dudek Hanna & Wojewódzka-Wiewiórska Agnieszka, 2024. "Housing Deprivation Among Polish Households: Prevalence and Associated Factors," Real Estate Management and Valuation, Sciendo, vol. 32(2), pages 58-69.
    4. Craig Gundersen & David R. Just & Fei Men, 2017. "Mothers' Within-Marriage Economic Prospects and Later Food Security: Does Marital Outcome Matter?," Journal of Consumer Affairs, Wiley Blackwell, vol. 51(3), pages 682-702, November.
    5. K. P. Kannan, 2022. "India’s Elusive Quest for Inclusive Development: An Employment Perspective," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(3), pages 579-623, September.
    6. Brache, Jose & Felzensztein, Christian, 2019. "Exporting firm’s engagement with trade associations: Insights from Chile," International Business Review, Elsevier, vol. 28(1), pages 25-35.
    7. KIZILCA, F. Kemal, 2013. "Booze and women: Gendering labor market outcomes of secular consumption patterns in a Muslim society," MPRA Paper 60134, University Library of Munich, Germany, revised 01 Nov 2014.
    8. Allain, Marie-Laure & Chambolle, Claire & Rey, Patrick & Teyssier, Sabrina, 2021. "Vertical integration as a source of hold-up: An experiment," European Economic Review, Elsevier, vol. 137(C).
    9. Hiramatsu, Tomoko & Marshall, Maria I., 2017. "The effect of Small Business Administration (SBA) Disaster Loans on Revenues of Small Businesses in Mississippi after Hurricane Katrina," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252713, Southern Agricultural Economics Association.
    10. Efing, Matthias, 2015. "Arbitraging the Basel securitization framework: Evidence from German ABS investment," Discussion Papers 40/2015, Deutsche Bundesbank.
    11. Zachary Zimmer & Yasuhiko Saito & Olga Theou & Clove Haviva & Kenneth Rockwood, 2021. "Education, wealth, and duration of life expected in various degrees of frailty," European Journal of Ageing, Springer, vol. 18(3), pages 393-404, September.
    12. Liu, Yulong & Yu, Yang, 2018. "Institutions, firm resources and the foreign establishment mode choices of Chinese firms: The moderating role of home regional institutional development," Journal of Business Research, Elsevier, vol. 93(C), pages 111-121.
    13. Zhang, Yameng & Sharma, Piyush & Xu, Yekun & Zhan, Wu, 2021. "Challenges in internationalization of R&D teams: Impact of foreign technocrats in top management teams on firm innovations," Journal of Business Research, Elsevier, vol. 128(C), pages 728-741.
    14. Anna Garriga & Sebastià Sarasa & Paolo Berta, 2015. "Mother’s educational level and single motherhood: Comparing Spain and Italy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(42), pages 1165-1210.
    15. Blind, Knut & Petersen, Sören S. & Riillo, Cesare A.F., 2017. "The impact of standards and regulation on innovation in uncertain markets," Research Policy, Elsevier, vol. 46(1), pages 249-264.
    16. Tatjana Miljkovic & Saleem Shaik & Dragan Miljkovic, 2017. "Redefining standards for body mass index of the US population based on BRFSS data using mixtures," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(2), pages 197-211, January.
    17. Magne Mogstad & Joseph P Romano & Azeem M Shaikh & Daniel Wilhelm, 2024. "Inference for Ranks with Applications to Mobility across Neighbourhoods and Academic Achievement across Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 476-518.
    18. E. Keith Smith & Dennis Kolcava & Thomas Bernauer, 2024. "Stringent sustainability regulations for global supply chains are supported across middle-income democracies," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    19. Marcus Heise & Astrid Fink & Jens Baumert & Christin Heidemann & Yong Du & Thomas Frese & Solveig Carmienke, 2021. "Patterns and associated factors of diabetes self-management: Results of a latent class analysis in a German population-based study," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-23, March.
    20. Zou, Baoling & Mishra, Ashok K. & Luo, Biliang, 2018. "Aging population, farm succession, and farmland usage: Evidence from rural China," Land Use Policy, Elsevier, vol. 77(C), pages 437-445.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:poprpr:v:41:y:2022:i:3:d:10.1007_s11113-021-09684-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.