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• W2914511981 abstract "The obesity epidemic has prevailed worldwide and is currently recognized as a global pandemic disease. Given the argument that various socio-economic features contribute to substantial differences in obesity rates across countries, economic development can also be considered a crucial factor of such variation. This study examines the relationship between economic development and each of three weight-related health statuses (rates of overweight, obesity, and morbid obesity). This study uses panel data analysis. Using country-level panel data of 130 countries during the period from 1975 to 2010, we apply dynamic panel data analysis to mitigate possible endogeneity problems. The main results show a clear pattern of the obesity Kuznets curve, i.e. a non-linear relationship between a country's income per capita and its weight-related health status, for both males and females. For low-income countries, as incomes increase, the weight-related health status deteriorates; thus, an increase in incomes raises the health risk. In contrast, for high-income countries, as incomes increase, the weight-related health status improves; thus, an increase in incomes reduces the health risk. The policy implications from our analysis include the argument that a strong initiative for health policy targeting obesity prevention is required for middle-income countries, many of which are currently experiencing high economic growth." @default.
• W2914511981 created "2019-02-21" @default.
• W2914511981 creator A5015846464 @default.
• W2914511981 creator A5031278523 @default.
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• W2914511981 date "2019-04-01" @default.
• W2914511981 modified "2023-10-01" @default.
• W2914511981 title "Obesity Kuznets curve: international evidence" @default.
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• W2914511981 doi "https://doi.org/10.1016/j.puhe.2019.01.004" @default.
• W2914511981 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30776741" @default.
• W2914511981 hasPublicationYear "2019" @default.
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