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Depressive Symptoms and Endogenous Physical Activity: An Ordered Probability Approach

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  • Zhang, Jun
  • Yen, Steven T.

Abstract

Depression is a serious mental disorder which affects more than 350 million people of all ages worldwide in the 2012 and physical activity is generally believed to be effective in combating depressive symptoms. This study investigates the effects of regular physical activity and sociodemographic factors on depressive symptoms for both men and women. Data for this study come from the 2011 Behavioral Risk Factor Surveillance System (BRFSS) and an ordered probability model with binary endogenous physical activity is developed to accommodate the ordinal nature of depression outcomes. Results suggest that physical activity is most beneficial for mild and moderate depressed individuals and the effect of regular physical activity is most notable on mild depressed females. In addition, socio-demographic factors are found to vary significantly between gender, and factors of age, income, race, education, employment status and recent mental health condition play important roles in affecting depressive symptoms.

Suggested Citation

  • Zhang, Jun & Yen, Steven T., 2013. "Depressive Symptoms and Endogenous Physical Activity: An Ordered Probability Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150133, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea13:150133
    DOI: 10.22004/ag.econ.150133
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    References listed on IDEAS

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    1. Papke, Leslie E. & Wooldridge, Jeffrey M., 2005. "A computational trick for delta-method standard errors," Economics Letters, Elsevier, vol. 86(3), pages 413-417, March.
    2. Steven T. Yen & Donald J. Bruce & Lisa Jahns, 2012. "Supplemental Nutrition Assistance Program Participation And Health: Evidence From Low‐Income Individuals In Tennessee," Contemporary Economic Policy, Western Economic Association International, vol. 30(1), pages 1-12, January.
    3. Yen, Steven T. & Shaw, W. Douglass & Yuan, Yan, 2010. "Cigarette smoking and self-reported health in China," China Economic Review, Elsevier, vol. 21(4), pages 532-543, December.
    4. Frederick J. Zimmerman & Wayne Katon, 2005. "Socioeconomic status, depression disparities, and financial strain: what lies behind the income‐depression relationship?," Health Economics, John Wiley & Sons, Ltd., vol. 14(12), pages 1197-1215, December.
    5. Jang, Soong-Nang & Kawachi, Ichiro & Chang, Jiyeun & Boo, Kachung & Shin, Hyun-Gu & Lee, Hyejung & Cho, Sung-il, 2009. "Marital status, gender, and depression: Analysis of the baseline survey of the Korean Longitudinal Study of Ageing (KLoSA)," Social Science & Medicine, Elsevier, vol. 69(11), pages 1608-1615, December.
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    More about this item

    Keywords

    Consumer/Household Economics; Institutional and Behavioral Economics; Labor and Human Capital; Risk and Uncertainty;
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