ArticleBMC public health2025
Does income have a non-linear impact on residents' BMI? Re-examining the obesity Kuznets curve.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Wealth and weight revisited: A Bayesian model averaging approach to the Obesity Kuznets Curve.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- Türkiye's position in socio-economic inequalities in adult obesity: a gender-specific and regional assessment.Public health nutrition · 2026Article
- The impacts of digital payment capability on food consumption upgrading in rural households: evidence from China.Frontiers in nutrition · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundAfter more than 40 years of growth, the income of Chinese residents has greatly increased; however, the problems of overweight and obesity among residents have become increasingly prominent.
methodsWe used data from the China Family Panel Studies (CFPS) to study the relationship between residents' income and obesity using the instrumental variable (IV) method.
resultsThe impact of income on residents' body mass index (BMI) is an inverted U-shape; that is, when income is low, BMI significantly rises with income, and when per capita income exceeds 57,066 yuan in 2023 prices (equivalent to 8,098 dollars), further increases in income will lead to a decrease in BMI.
conclusionsThe results suggest that the impact of income on resident obesity may be related to dietary behaviour and health investment. Although income increases the likelihood of health expenditure and exercise, it has an inverted U-shaped effect on whether residents consume fish, meat, fried or pickled foods, and dine out. That is, in the low-income stage, income mainly increases consumption of unhealthy foods such as fish, meat, and fried and pickled foods, leading to a significant increase in BMI. In the high-income stage, residents reduce consumption of large amounts of fish and meat, pay more attention to healthy diet and healthcare, and increase exercise, which leads to a decline in BMI and an overall inverted U-shaped impact of income on obesity. Further heterogeneous analysis showed that income has a greater impact on obesity among rural residents, those aged 50 years and older, and those with low education levels. Finally, this study provides relevant suggestions for the prevention and control (P&C) of obesity among urban and rural residents.
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