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How the economy affects teenage weight

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  • Arkes, Jeremy

Abstract

Much research has focused on the proximate determinants of weight gain and obesity for adolescents, but not much information has emerged on identifying which adolescents might be at risk or on prevention. This research focuses on a distal determinant of teenage weight gain, namely changes in the economy, which may help identify geographical areas where adolescents may be at risk and may provide insights into the mechanisms by which adolescents gain weight. This study uses a nationally representative sample of individuals, between 15 and 18Â years old from the 1997 US National Longitudinal Survey of Youth, to estimate a model with state and year fixed effects to examine how within-state changes in the unemployment rate affect four teenage weight outcomes: an age- and gender-standardized percentile in the body-mass-index distribution and indicators for being overweight, obese, and underweight. I found statistically significant estimates, indicating that females gain weight in weaker economic periods and males gain weight in stronger economic periods. Possible causes for the contrasting results across gender include, among other things, differences in the responsiveness of labor market work to the economy and differences in the types of jobs generally occupied by female and male teenagers.

Suggested Citation

  • Arkes, Jeremy, 2009. "How the economy affects teenage weight," Social Science & Medicine, Elsevier, vol. 68(11), pages 1943-1947, June.
    • Handle: RePEc:eee:socmed:v:68:y:2009:i:11:p:1943-1947
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    Cited by:

    1. Ruhm, Christopher J., 2015. "Recessions, healthy no more?," Journal of Health Economics, Elsevier, vol. 42(C), pages 17-28.
    2. Cristina Bellés‐Obrero & Sergi Jiménez‐Martín & Judit Vall‐Castello, 2016. "Bad Times, Slimmer Children?," Health Economics, John Wiley & Sons, Ltd., vol. 25(S2), pages 93-112, November.
    3. Pabilonia, Sabrina Wulff, 2014. "The Effects of the Great Recession on Teenagers' Risky Health Behaviors and Time Use," IZA Discussion Papers 8204, Institute of Labor Economics (IZA).
    4. Garth Heutel & Christopher J. Ruhm, 2016. "Air Pollution and Procyclical Mortality," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(3), pages 667-706.
    5. Joelle Abramowitz, 2016. "The connection between working hours and body mass index in the U.S.: a time use analysis," Review of Economics of the Household, Springer, vol. 14(1), pages 131-154, March.
    6. Sabrina Wulff Pabilonia, 2017. "Teenagers’ risky health behaviors and time use during the great recession," Review of Economics of the Household, Springer, vol. 15(3), pages 945-964, September.
    7. Chen, Lipeng & Liu, Wanlin, 2022. "The effect of Internet access on body weight: Evidence from China," Journal of Health Economics, Elsevier, vol. 85(C).
    8. Cawley, John, 2015. "An economy of scales: A selective review of obesity's economic causes, consequences, and solutions," Journal of Health Economics, Elsevier, vol. 43(C), pages 244-268.
    9. Sun, Zhen & Cheng, Lei, 2021. "Air pollution and procyclical mortality: Evidence from China," China Economic Review, Elsevier, vol. 68(C).

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