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Labor market engagement and the body mass index of working adults: Evidence from India

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  • Dang, Archana
  • Maitra, Pushkar
  • Menon, Nidhiya

Abstract

Galvanized by rapid income growth, labor market transitions in the nature of jobs, and lifestyle factors, there has been an increase in rates of obesity in many developing countries. This paper examines the relationship between BMI and sector and physical intensity of work among urban adults in India. We document that BMI is positively and significantly associated with labor market inactivity. Women in white-collar work have about 1.01 kg/m2 higher BMI than women in blue-collar work. For working men, the comparable estimate is approximately 1.18 kg/m2. We find that the increase in overall BMI originates from those who are already at high levels of BMI. Further, relative to the non-working sample, employment in a blue-collar occupation is associated with a BMI penalty for men and women. We find suggestive evidence that the increase in BMI for women is driven by a decline in energy expenditure, while both a decrease in energy expenditure and an increase in energy intake are important in explaining BMI dynamics for men. These results are robust to a variety of specification and methodological checks, and suggest that the increasing trend in BMI may be attributed to the transition towards a more sedentary occupational structure. Overall our research underlines the important role played by occupational engagement in determining the general health of populations in developing countries.

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  • Dang, Archana & Maitra, Pushkar & Menon, Nidhiya, 2019. "Labor market engagement and the body mass index of working adults: Evidence from India," Economics & Human Biology, Elsevier, vol. 33(C), pages 58-77.
  • Handle: RePEc:eee:ehbiol:v:33:y:2019:i:c:p:58-77
    DOI: 10.1016/j.ehb.2019.01.006
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    Cited by:

    1. Ping Li & Xiaozhou Chen & Qi Yao, 2021. "Body Mass and Income: Gender and Occupational Differences," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
    2. Aiyar, Anaka & Rahman, Andaleeb & Pingali, Prabhu, 2021. "India’s rural transformation and rising obesity burden," World Development, Elsevier, vol. 138(C).
    3. Purushotham, Anjali & Aiyar, Anaka & von Cramon-Taubadel, Stephan, 2021. "Dietary transition and its relationship with socio-economic status and peri-urban obesity," DARE Discussion Papers 2104, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    4. Brinda Viswanathan & Archana Agnihotri, 2020. "Double Burden of Malnutrition in India: Decadal Changes among Adult Men and Women," Working Papers 2020-200, Madras School of Economics,Chennai,India.
    5. Nicolau Martin‐Bassols & Sonja C. de New & David W. Johnston & Michael A. Shields, 2023. "Cognitive activity at work and the risk of dementia," Health Economics, John Wiley & Sons, Ltd., vol. 32(7), pages 1561-1580, July.
    6. Archana Dang, 2023. "Time preferences and obesity: Evidence from urban India," Agricultural Economics, International Association of Agricultural Economists, vol. 54(4), pages 487-514, July.
    7. Menon, Nidhiya, 2021. "Does BMI predict the early spatial variation and intensity of Covid-19 in developing countries? Evidence from India," Economics & Human Biology, Elsevier, vol. 41(C).
    8. Aiyar, Anaka & Dhingra, Sunaina & Pingali, Prabhu, 2021. "Transitioning to an obese India: Demographic and structural determinants of the rapid rise in overweight incidence," Economics & Human Biology, Elsevier, vol. 43(C).
    9. Archana Dang & Indrani Gupta, 2023. "Overnutrition and COVID Prevalence in India: Evidence and Implications," Indian Journal of Human Development, , vol. 17(1), pages 44-59, April.
    10. Archana Dang, 2020. "Role of Time Preferences in Explaining the Burden of Malnutrition: Evidence from Urban India," Working papers 309, Centre for Development Economics, Delhi School of Economics.
    11. Archana Agnihotri & Brinda Viswanathan, 2021. "Gender Differences in Double Burden of Malnutrition in India: Quantile Regression Estimates," Working Papers 2021-208, Madras School of Economics,Chennai,India.
    12. Purushotham, Anjali & Aiyar, Anaka & von Cramon-Taubadel, Stephan, 2023. "Processed foods, socio-economic status, and peri-urban obesity in India," Food Policy, Elsevier, vol. 117(C).
    13. Archana Dang & Indrani Gupta, 2021. "Obesity and its Impact on COVID Occurrence: Evidence from India," IEG Working Papers 430, Institute of Economic Growth.
    14. Chandana Maitra & Vani Sethi & Sayeed Unisa & Sriram Shankar, 2019. "Household Food Insecurity and Maternal and Child Nutritional Status: Evidence from Maharashtra," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(S1), pages 63-101, November.

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    More about this item

    Keywords

    BMI; Overweight or obese; Labor market sector; Physical intensity; Gender; India;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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