# Long-Term Exposure to Fine Particulate Matter (PM2.5) Components and Precocious Puberty Among School-Aged Children: Cross-Sectional Study

**Authors:** Xuelian Zhou, Xiaochi Zhang, Guannan Bai, Guanping Dong, Xinyi Li, Ruimin Chen, Shaoke Chen, Rongxiu Zheng, Chunlin Wang, Haiyan Wei, Bingyan Cao, Yan Liang, Hui Yao, Zhe Su, Mireguli Maimaiti, Feihong Luo, Pin Li, Min Zhu, Hongwei Du, Yu Yang, Lanwei Cui, Jinling Wang, Jinna Yuan, Zhuang Liu, Wei Wu, Qi Zhao, Junfen Fu

PMC · DOI: 10.2196/62861 · JMIR Public Health and Surveillance · 2025-02-07

## TL;DR

This study finds that long-term exposure to fine particulate matter, especially organic matter, is linked to precocious puberty in Chinese girls.

## Contribution

The study provides population-based evidence linking PM2.5 components to precocious puberty in Chinese children, highlighting sex-specific effects.

## Key findings

- Long-term PM2.5 exposure was associated with increased odds of precocious puberty in girls but not in boys.
- Organic matter was identified as the main contributor to the effect of PM2.5 on precocious puberty.
- Family income and dietary habits modified the association in certain subgroups.

## Abstract

The increasing incidence of precocious puberty is a major health challenge for Chinese children, while related risk factors remain less well explored. Exposure to ambient fine particulate matter (PM2.5) is a leading environmental hazard in China. Although certain components of PM2.5 have been reported to be endocrine disruptors for sex hormones, population-based evidence is still lacking on the association between PM2.5 exposure and precocious puberty in China.

Based on a cross-sectional survey covering 30 cities in 2017 to 2019, this study was designed to explore the association between long-term exposure to PM2.5 and its 5 major components with precocious puberty in China and to check the potential modifying effects of family-related and personal factors.

We included 34,105 children aged 6 to 9 years. We collected the 5-year average concentrations of PM2.5 and its 5 major components (sulfate, nitrate, ammonium, organic matter, and black carbon) in the area (at a spatial resolution of 0.1° × 0.1°) where each school was located. We used mixed effect logistic regression to estimate the effect sizes of the total mass of PM2.5 and each of its components on precocious puberty, and we examined the modifying effects of family-related and personal factors using an additional interactive term. A weighted quantile sum (WQS) regression model was applied to identify the weights of each component in explaining the effect size of the total mass of PM2.5.

We found that the odds ratio (OR) for precocious puberty per IQR increase in the concentration of total PM2.5 mass was 1.27 (95% CI 0.92-1.75) for the whole population, 2.12 (95% CI 1.27-3.55) for girls, and 0.90 (95% CI 0.62-1.30) for boys. Similarly, the effect sizes of the 5 major components were all substantial for girls but minimal for boys. Results of the WQS analysis showed that organic matter could explain the highest proportion of the effect of PM2.5, with the weight of its contribution being 0.71. Modification effects of family income and dietary habits were only observed in certain population subgroups.

Long-term exposure to total PM2.5 mass was significantly associated with precocious puberty in girls, with organic matter identified as the major effect contributor. The results add evidence on the detrimental effects of PM2.5 on children’s development and growth.

## Linked entities

- **Chemicals:** sulfate (PubChem CID 1117), nitrate (PubChem CID 943), ammonium (PubChem CID 223), black carbon (PubChem CID 172866199)
- **Diseases:** precocious puberty (MONDO:0000088)

## Full-text entities

- **Diseases:** endocrine disruptors (MESH:D004700), Precocious Puberty (MESH:D011629)
- **Chemicals:** sulfate (MESH:D013431), carbon (MESH:D002244), ammonium (MESH:D064751), nitrate (MESH:D009566), Fine Particulate Matter (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11830487/full.md

## References

51 references — full list in the complete paper: https://tomesphere.com/paper/PMC11830487/full.md

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Source: https://tomesphere.com/paper/PMC11830487