# Cold climate and obesity in China: a cross-sectional ecological analysis

**Authors:** Fuwei Yin, Yonghong Bao, Dahu Sun, Yang Zhang

PMC · DOI: 10.3389/fpubh.2025.1722366 · Frontiers in Public Health · 2026-01-12

## TL;DR

This study finds that cold climate contributes to obesity in China, especially in eastern provinces, and suggests climate should be considered in obesity prevention strategies.

## Contribution

The study provides new evidence on the role of cold climate in shaping obesity patterns in China.

## Key findings

- Cold days are associated with higher overweight/obesity rates in transitional eastern provinces.
- The cold-overweight link is stronger in women than in men.
- Geographic variation in the cold-obesity relationship highlights the need for region-specific prevention strategies.

## Abstract

Most research on obesity has focused on dietary, behavioral, and socioeconomic determinants. Environmental exposures such as climate, however, may also shape geographic variation in obesity, yet evidence from China remains scarce. Understanding whether cold exposure contributes to obesity distribution is important for broadening the framework of obesity prevention.

We conducted an ecological analysis of 26 mainland Chinese provinces. Annual cold days (<4 °C) were averaged from 2000 to 2021. Overweight and obesity prevalence in 2019, derived from a national surveillance dataset of 15.8 million adults, were linked to climatic exposures. Associations were examined using ordinary least squares (OLS) regression and geographically weighted regression (GWR) to account for spatial heterogeneity. Sex differences were tested with pooled log–log models including interaction terms.

OLS residuals exhibited spatial autocorrelation, which was resolved by GWR. GWR revealed pronounced geographic variation: associations between cold days and overweight/obesity were strongest in transitional eastern provinces (Shanghai, Jiangsu, Zhejiang, Anhui; coefficients 0.40–0.48), whereas northern and western provinces showed relatively weaker or nonsignificant associations. In pooled models, the cold–overweight association was stronger in women than men (p = 0.009). For obesity, sex differences were not statistically significant (p = 0.33).

Chronic cold exposure contributes to the spatial distribution of obesity in China, with the strongest effects in transitional eastern provinces. Climate should be recognized alongside socioeconomic and behavioral determinants in obesity epidemiology and considered in the design of regionally tailored prevention strategies.

## Linked entities

- **Diseases:** obesity (MONDO:0011122)

## Full-text entities

- **Diseases:** obesity (MESH:D009765), Overweight (MESH:D050177)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC12833273/full.md

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Source: https://tomesphere.com/paper/PMC12833273