Wang Yugen, Yu Muchun, Liu Yanyan
Department of Philosophy, College of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, China.
Front Public Health. 2025 Jul 10;13:1589201. doi: 10.3389/fpubh.2025.1589201. eCollection 2025.
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.
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), Sulfur dioxide (SO), Carbon monoxide (CO), Nitrogen dioxide (NO), Ozone (O), Black Carbon (BC), Methane (CH), Ammonia (NH), 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.
Four air pollution-PM, BC, NMVOCs, and CH-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.
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.
空气污染和海拔高度是重要的致肥胖环境风险因素。尚无研究探讨这两种风险因素共同暴露与体重指数（BMI）之间的影响。我们讨论了九种空气污染、海拔高度与BMI之间的浓度-反应（C-R）关系及潜在机制。
使用了中国家庭追踪调查中38617名18至90岁个体的数据。通过卫星遥感反演数据与全国代表性调查相结合，生成了九个空气暴露变量——细颗粒物2.5（PM）、二氧化硫（SO）、一氧化碳（CO）、二氧化氮（NO）、臭氧（O）、黑碳（BC）、甲烷（CH）、氨（NH）和非甲烷挥发性有机化合物（NMVOCs）——以及海拔网格数据。采用贝叶斯核机器回归和调节链式中介模型来检验C-R关系及潜在机制。
四种空气污染物质——PM、BC、NMVOCs和CH——与超重/肥胖呈正相关。海拔高度与BMI之间的相关性呈现出低海拔（τ30至τ55，73.77 - 403.87米）、中海拔（τ55至τ75，403.88 - 944.73米）和高海拔（τ75至τ99，944.74 - 2610.72米）的“负-正-负相关”模式。海拔高度对空气污染与BMI之间的关系具有负向调节作用。由身体活动和睡眠质量依次组成的链式中介部分介导了空气污染与BMI之间的关联。
空气污染和海拔高度的共同暴露对个体BMI有复杂影响。维持健康环境对肥胖的联合防控至关重要。
