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Measuring the total impact of demographic and behavioural factors on the risk of obesity accounting for the depression status: a structural model approach using new BMI

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  • L. Beaudin
  • J. Skaza

Abstract

Building upon previous studies that highlight considerable overlap in the influential factors of both obesity and depression, we employ a structural model to investigate the direct and indirect impacts of behavioural and demographic factors on obesity. We use new body mass index (BMI) to calculate the obesity status and find a significant relationship between an individual's depression status and his/her obesity status. The results and simulations imply that demographic and behavioural factors can significantly influence the obesity status both directly and indirectly through their impact on depression. Therefore, this study suggests that models which do not account for these various pathways of influence are most likely misrepresenting the impact of these factors on obesity.

Suggested Citation

  • L. Beaudin & J. Skaza, 2015. "Measuring the total impact of demographic and behavioural factors on the risk of obesity accounting for the depression status: a structural model approach using new BMI," Applied Economics, Taylor & Francis Journals, vol. 47(55), pages 6041-6053, November.
    • Handle: RePEc:taf:applec:v:47:y:2015:i:55:p:6041-6053
    DOI: 10.1080/00036846.2015.1061648
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    References listed on IDEAS

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    1. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May.
    2. Beaudin, Laura & Huang, Ju-Chin, 2014. "Weather conditions and outdoor recreation: A study of New England ski areas," Ecological Economics, Elsevier, vol. 106(C), pages 56-68.
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