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The Impact of BMI on Mental Health: Further Evidence from Genetic Markers

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  • Amin, Vikesh
  • Flores, Carlos A.
  • Flores-Lagunes, Alfonso

Abstract

We examine the relationship between BMI and mental health for young adults and elderly individuals using data from the National Longitudinal Study of Adolescent Health and the Health & Retirement Study. While OLS estimates show that BMI is significantly associated with worse mental health in both young adulthood and old age, they are likely to be confounded by (i) unobserved factors that affect both BMI and mental health and (ii) reverse causality. To tackle confounding, we take two complementary approaches. First, we use a polygenic score for BMI as an IV and adjust for polygenic scores for other factors that may invalidate this IV. The IV estimates indicate that there is no statistically significant relationship between BMI and mental health for young adults, whereas there is a positive and statistically significant relationship for the elderly. Moreover, we show that IV estimates likely have to be interpreted as identifying a weighted average of effects of BMI on mental health mostly for individuals on the upper quantiles of the BMI distribution. Given potential remaining concerns about the validity of the IV, our second approach is to consider it an “imperfect” IV and estimate an upper bound on the average treatment effect for the corresponding population following Nevo & Rosen (2012). The estimated upper bounds reinforce the conclusions from the IV estimates: they show little evidence of a detrimental effect of BMI on mental health for young adults while being consistent with an economically meaningful effect for elderly individuals. Lastly, we explore some of the potential channels through which BMI may affect mental health for the elderly.

Suggested Citation

  • Amin, Vikesh & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2019. "The Impact of BMI on Mental Health: Further Evidence from Genetic Markers," GLO Discussion Paper Series 385, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:385
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    1. Bonanno, Alessandro & Bimbo, Francesco & Cleary, Rebecca & Castellari, Elena, 2018. "Food labels and adult BMI in Italy – An unconditional quantile regression approach," Food Policy, Elsevier, vol. 74(C), pages 199-211.
    2. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
    3. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    4. Aviv Nevo & Adam M. Rosen, 2012. "Identification With Imperfect Instruments," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 659-671, August.
    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. Christine Himes, 2000. "Obesity, disease, and functional limitation in later life," Demography, Springer;Population Association of America (PAA), vol. 37(1), pages 73-82, February.
    7. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    8. Petri Böckerman & John Cawley & Jutta Viinikainen & Terho Lehtimäki & Suvi Rovio & Ilkka Seppälä & Jaakko Pehkonen & Olli Raitakari, 2019. "The effect of weight on labor market outcomes: An application of genetic instrumental variables," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 65-77, January.
    9. von Hinke, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2016. "Genetic markers as instrumental variables," Journal of Health Economics, Elsevier, vol. 45(C), pages 131-148.
    10. Morris, Stephen, 2007. "The impact of obesity on employment," Labour Economics, Elsevier, vol. 14(3), pages 413-433, June.
    11. Hyungserk Ha & Chirok Han & Beomsoo Kim, 2017. "Can Obesity Cause Depression? Using Pseudo Panel Analysis," Discussion Paper Series 1701, Institute of Economic Research, Korea University.
    12. Magnus Johannesson & David I. Laibson & Sarah E. Medland & Michelle N. Meyer & Joseph K. Pickrell & Tõnu Esko & Robert F. Krueger & Jonathan P. Beauchamp & Philipp D. Koellinger & Daniel J. Benjamin &, 2016. "Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses," Post-Print hal-02017373, HAL.
    13. Wehby, George L. & Courtemanche, Charles J., 2012. "The heterogeneity of the cigarette price effect on body mass index," Journal of Health Economics, Elsevier, vol. 31(5), pages 719-729.
    14. Huber, Martin, 2019. "A review of causal mediation analysis for assessing direct and indirect treatment effects," FSES Working Papers 500, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    15. Flores, Carlos A. & Flores-Lagunes, Alfonso, 2009. "Identification and Estimation of Causal Mechanisms and Net Effects of a Treatment under Unconfoundedness," IZA Discussion Papers 4237, Institute of Labor Economics (IZA).
    16. Thomas A. DiPrete & Casper A. P. Burik & Philipp D. Koellinger, 2018. "Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(22), pages 4970-4979, May.
    17. Brunello, Giorgio & D'Hombres, Beatrice, 2007. "Does body weight affect wages?: Evidence from Europe," Economics & Human Biology, Elsevier, vol. 5(1), pages 1-19, March.
    18. Greve, Jane, 2008. "Obesity and labor market outcomes in Denmark," Economics & Human Biology, Elsevier, vol. 6(3), pages 350-362, December.
    19. Janet Currie & Enrico Moretti, 2003. "Mother's Education and the Intergenerational Transmission of Human Capital: Evidence from College Openings," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1495-1532.
    20. Willage, Barton, 2018. "The effect of weight on mental health: New evidence using genetic IVs," Journal of Health Economics, Elsevier, vol. 57(C), pages 113-130.
    21. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    22. Euna Han & Lisa M. Powell, 2013. "Fast Food Prices And Adult Body Weight Outcomes: Evidence Based On Longitudinal Quantile Regression Models," Contemporary Economic Policy, Western Economic Association International, vol. 31(3), pages 528-536, July.
    23. Puhl, R.M. & Heuer, C.A., 2010. "Obesity stigma: Important considerations for public health," American Journal of Public Health, American Public Health Association, vol. 100(6), pages 1019-1028.
    24. Carpenter, K.M. & Hasin, D.S. & Allison, D.B. & Faith, M.S., 2000. "Relationships between obesity and DSM-IV major depressive disorder, suicide ideation, and suicide attempts: Results from a general population study," American Journal of Public Health, American Public Health Association, vol. 90(2), pages 251-257.
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    Cited by:

    1. Baltagi, Badi H. & Flores-Lagunes, Alfonso & Karatas, Haci M., 2023. "The effect of higher education on Women's obesity and smoking: Evidence from college openings in Turkey," Economic Modelling, Elsevier, vol. 123(C).
    2. Barone, Adriana & Barra, Cristian, 2019. "Weight status and mental health in Italy: Evidence from EHIS2 microdata," MPRA Paper 96703, University Library of Munich, Germany.
    3. Si Wang & Qingqing Yang, 2022. "Does weight impact adolescent mental health? Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 31(10), pages 2269-2286, October.

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    More about this item

    Keywords

    obesity; mental health; depression; polygenic scores;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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