Full
Outline
To investigate the association between medium- to long-term PM2.5 exposure around school areas and overweight/obesity among primary and secondary school students in Guangxi, providing data support and theoretical foundations for scientifically addressing overweight and obesity in primary and secondary school students.
From September to November 2023, a stratified cluster random sampling method was employed to select 251 183 students aged 7-18 years (grade 1 to grade 12) from 14 prefecture level cities (111 districts and counties) in Guangxi. PM2.5 mass concentration data were obtained from the Tracking Air Pollution in China (TAP) dataset. Preliminary comparative analysis was conducted using the Mann-Whitney U test, while binary Logistic regression models were applied to quantify the relationship between PM2.5 exposure and overweight/obesity. Restricted cubic spline analysis was further utilized to examine the nonlinear association between PM2.5 concentration and overweight/obesity risk.
The detection rate of overweight/obesity among Guangxi students in 2023 was 19.5%. The median PM2.5 concentration in the year prior to the study was higher in the overweight/obesity group (23.22 μg/m3) compared to the non-overweight/obesity group (22.63 μg/m3) (Z=-15.66, P < 0.01), and consistent trends were observed across gender (male/female) and educational stage (primary/junior/senior high school) subgroups (all P < 0.01). Binary Logistic regression revealed that for every 10 μg/m3 increase in the annual average PM2.5 concentration, the risk of overweight/obesity increased by 12% (OR=1.12, 95%CI=1.09-1.15, P < 0.01). Restricted cubic spline analysis indicated a nonlinear relationship between monthly PM2.5 levels and overweight/obesity risk (Ptrend < 0.01). Below 22.68 μg/m3, PM2.5 exposure showed no significant association with obesity risk; above the threshold, the risk increased with rising PM2.5 levels.
Medium- to long-term PM2.5 exposure around school environments is significantly associated with overweight/obesity among primary and secondary school students.
2
1
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
