Frontiers in public health · 2025
Association between air pollution, altitudes, and overweight/obesity in China.
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Wang Yugen, Yu Muchun, Liu Yanyan
Аннотация
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 (PM2.5), Sulfur dioxide (SO2), Carbon monoxide (CO), Nitrogen dioxide (NO2), Ozone (O3), Black Carbon (BC), Methane (CH4), Ammonia (NH3), 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-PM2.5, BC, NMVOCs, and CH4-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.
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 (PM2.5), Sulfur dioxide (SO2), Carbon monoxide (CO), Nitrogen dioxide (NO2), Ozone (O3), Black Carbon (BC), Methane (CH4), Ammonia (NH3), 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-PM2.5, BC, NMVOCs, and CH4-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.