IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/83182.html
   My bibliography  Save this paper

Body Weight and Hypertension Risk in a Developing Country

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/83182/1/MPRA_paper_83182.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    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.
    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. Black, Nicole & Hughes, Robert & Jones, Andrew M., 2018. "The health care costs of childhood obesity in Australia: An instrumental variables approach," Economics & Human Biology, Elsevier, vol. 31(C), pages 1-13.
    2. Bozzi, Debra G. & Nicholas, Lauren Hersch, 2021. "A Causal Estimate of Long-Term Health Care Spending Attributable to Body Mass Index Among Adults," Economics & Human Biology, Elsevier, vol. 41(C).
    3. Xuezheng Qin & Jay Pan, 2016. "The Medical Cost Attributable to Obesity and Overweight in China: Estimation Based on Longitudinal Surveys," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1291-1311, October.
    4. John Cullinan & Paddy Gillespie, 2016. "Does Overweight and Obesity Impact on Self‐Rated Health? Evidence Using Instrumental Variables Ordered Probit Models," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1341-1348, October.
    5. Md. Alauddin Majumder, 2013. "Does Obesity Matter for Wages? Evidence from the United States," Economic Papers, The Economic Society of Australia, vol. 32(2), pages 200-217, June.
    6. Averett, Susan L. & Smith, Julie K., 2014. "Financial hardship and obesity," Economics & Human Biology, Elsevier, vol. 15(C), pages 201-212.
    7. Guettabi, Mouhcine & Munasib, Abdul, 2015. "The Impact of Obesity on Consumer Bankruptcy," Economics & Human Biology, Elsevier, vol. 17(C), pages 208-224.
    8. 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.
    9. Courtemanche, Charles & Pinkston, Joshua C. & Stewart, Jay, 2015. "Adjusting body mass for measurement error with invalid validation data," Economics & Human Biology, Elsevier, vol. 19(C), pages 275-293.
    10. Dolado, Juan J. & Minale, Luigi & Guerra, Airam, 2023. "Uncovering the roots of obesity-based wage discrimination: The role of job characteristics," Labour Economics, Elsevier, vol. 85(C).
    11. Auld, M. Christopher, 2011. "Effect of large-scale social interactions on body weight," Journal of Health Economics, Elsevier, vol. 30(2), pages 303-316, March.
    12. Cawley, John & Maclean, Johanna Catherine & Hammer, Mette & Wintfeld, Neil, 2015. "Reporting error in weight and its implications for bias in economic models," Economics & Human Biology, Elsevier, vol. 19(C), pages 27-44.
    13. Kinge, Jonas Minet, 2015. "Body mass index and employment status: a new look," HERO Online Working Paper Series 2015:3, University of Oslo, Health Economics Research Programme.
    14. Donal O'Neill & Olive sweetman, 2012. "The Consequences of Measurement Error when Estimating the Impact of BMI on Labour Market Outcomes," Economics Department Working Paper Series n232b-12.pdf, Department of Economics, National University of Ireland - Maynooth.
    15. John Cawley & Davide Dragone & Stephanie Von Hinke Kessler Scholder, 2016. "The Demand for Cigarettes as Derived from the Demand for Weight Loss: A Theoretical and Empirical Investigation," Health Economics, John Wiley & Sons, Ltd., vol. 25(1), pages 8-23, January.
    16. O’Neill, Donal, 2015. "Measuring obesity in the absence of a gold standard," Economics & Human Biology, Elsevier, vol. 17(C), pages 116-128.
    17. Kinge, Jonas Minet, 2016. "Waist circumference, body mass index and employment outcomes," HERO Online Working Paper Series 2016:4, University of Oslo, Health Economics Research Programme.
    18. Kinge, Jonas Minet & Morris, Stephan, 2015. "The impact of childhood obesity on health and health service use: an instrumental variable approach," HERO Online Working Paper Series 2015:2, University of Oslo, Health Economics Research Programme.
    19. Joseph J. Sabia & Jeffrey Swigert & Timothy Young, 2017. "The Effect of Medical Marijuana Laws on Body Weight," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 6-34, January.
    20. 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.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:83182. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.