Evidence map›Paper›PMID 40069695›Full record

ArticleBMC public health2025

Does income have a non-linear impact on residents' BMI? Re-examining the obesity Kuznets curve.

Nianyu Du, Lele Liu, Zongshuo Yin, Cui Xu, Shijiu Yin

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. 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 · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nianyu DuSchool of Economics, Qufu Normal University, 80 Yantai Road, Rizhao, Shandong Province, P.R. China. dunianyu2008@163.com.
Lele LiuSchool of Economics, Qufu Normal University, 80 Yantai Road, Rizhao, Shandong Province, P.R. China.
Zongshuo YinChina Academy for Rural Development, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province, P.R. China.
Cui XuSchool of Statistics and Data Science, Qufu Normal University, 80 Yantai Road, Rizhao, Shandong Province, P.R. China.
Shijiu YinSchool of Economics and Management, Anhui Agricultural University, 130 Jiangxi Road, Hefei, Anhui Province, P.R. China. ysjtougao@163.com.

Funding

the National Social Science Fund of China No. 20BJY016
6 · The paper itself

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.

Indexed as

Body Mass IndexIncomeObesityAdultAgedChinaFemaleHumansMaleMiddle AgedBMIInstrumental variable methodObesity Kuznets curveResidents’ income

Identifiers

PMID40069695
PMCPMC11895372

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.