Association between air pollution, altitudes, and overweight/obesity in China
Bibliographic Data
| ID | 22072128 |
|---|---|
| Authors | Yugen Wang (0009-0000-5742-8153, Xi'an Jiaotong University), Min Yu (0000-0002-7614-0355, Xi'an Jiaotong University), Muchun Yu, Yanyan Liu (0000-0001-7553-2464, Xi'an Jiaotong University, corresponding author) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1589201-1589201 |
| Publication date | 2025-07-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1589201 |
| PMID | 40709031 |
| OpenAlex | W4412141389 |
| Language | EN |
| References cited | 32 |
Background Air pollution and altitudes are important obesogenic environmental risks. No studies have examined the influence of the co-exposure of these two risks and Body Mass Index (BMI). We discuss the concentration–response (C–R) relationships and potential mechanisms between nine air pollution, altitudes, and BMI. Methods Data from 38,617 individuals aged 18–90 years in the China Family Panel Survey were used. Nine air exposure variables–Particulate Matter 2.5 (PM 2.5 ), Sulfur dioxide (SO 2 ), Carbon monoxide (CO), Nitrogen dioxide (NO 2 ), Ozone (O 3 ), Black Carbon (BC), Methane (CH 4 ), Ammonia (NH 3 ), and Non–Methane Volatile Organic Compounds (NMVOCs)–and altitude grid data were generated through the combination of satellite remote sensing inversion data and nationally representative surveys. Bayesian kernel machine regression and the moderated chain–mediation model were employed to examine the C–R relationships and potential mechanisms. Results Four air pollution–PM 2.5 , BC, NMVOCs, and CH 4 -were positively associated with OW/OB. A “negative–positive–negative correlation” pattern across low altitudes (τ30 to τ55, 73.77–403.87 m), medium altitudes (τ55 to τ75, 403.88–944.73 m), and high altitudes (τ75 to τ99, 944.74–2,610.72 m) was revealed for the correlation between altitudes and BMI. Altitudes negatively moderated the relationship between air pollution and BMI. A chain mediator, consisting of physical activity and sleep quality sequentially, partially mediated the association between air pollution and BMI. Conclusions Co-exposure of air pollution and altitude had a complex influence on individual BMI. Maintaining a healthy environment is important for the joint prevention and control of obesity
Air pollution · Biology · China · Environmental health · Geography · Obesity · Overweight · Air Quality and Health Impacts · Environmental Science · High Altitude and Hypoxia · Medicine · Psychology · Urban Transport and Accessibility · Internal Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |