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Body Weight and Hypertension Risk in a Developing Country

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  • Dang, Thang

Abstract

This study provides a first causal inference of the link between body weight and the risk of hypertension among adults in a developing country, Vietnam. The study uses biological offspring’s body weight as an instrument for exogenous changes in parents’ body weight to address the potential problem of endogeneity and applies the instrumental variable approach to estimate the relationship of interest. The paper finds that on average an addition BMI unit causally increases the likelihood of being hypertensive by about 5.1–7.3% points for men and 5.6–8.2% points for women. The paper also shows that the impacts of body weight on the risk of hypertension are different with various age intervals. Furthermore, overweight or obesity causally enlarges the risk of hypertension compared to underweight or normal weight.

Suggested Citation

  • Dang, Thang, 2017. "Body Weight and Hypertension Risk in a Developing Country," MPRA Paper 83182, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:83182
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    File URL: https://mpra.ub.uni-muenchen.de/83182/1/MPRA_paper_83182.pdf
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    References listed on IDEAS

    as
    1. Grossbard, Shoshana & Mukhopadhyay, Sankar, 2017. "Body-Weight and Women's Hours of Work: More Evidence That Marriage Markets Matter," IZA Discussion Papers 10775, Institute of Labor Economics (IZA).
    2. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    3. Sohn, Kitae, 2017. "The Association between Height and Hypertension in Indonesia," Economics & Human Biology, Elsevier, vol. 27(PA), pages 74-83.
    4. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
    5. Cawley, John & Meyerhoefer, Chad, 2012. "The medical care costs of obesity: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 31(1), pages 219-230.
    6. Adam I. Biener & John Cawley & Chad Meyerhoefer, 2017. "The Medical Care Costs of Youth Obesity: An Instrumental Variables Approach," NBER Working Papers 23682, National Bureau of Economic Research, Inc.
    7. Doherty, Edel & Queally, Michelle & Cullinan, John & Gillespie, Paddy, 2017. "The impact of childhood overweight and obesity on healthcare utilisation," Economics & Human Biology, Elsevier, vol. 27(PA), pages 84-92.
    8. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    9. Sotomayor, Orlando, 2013. "Fetal and infant origins of diabetes and ill health: Evidence from Puerto Rico's 1928 and 1932 hurricanes," Economics & Human Biology, Elsevier, vol. 11(3), pages 281-293.
    10. Gregory S. Barsh & I. Sadaf Farooqi & Stephen O'Rahilly, 2000. "Genetics of body-weight regulation," Nature, Nature, vol. 404(6778), pages 644-651, April.
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    More about this item

    Keywords

    Body weight; Hypertension; Causal effect; Vietnam;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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