School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100083, China.
Sci Total Environ. 2021 Jul 15;778:145812. doi: 10.1016/j.scitotenv.2021.145812. Epub 2021 Mar 2.
Certain studies suggest that air pollution could be a risk factor for obesity, but the evidence on the association between air pollution exposure and obesity in adults is limited. This study aims to examine the association between long-term exposure to fine particulate matter (PM) and obesity-related traits in Chinese adults. Thus, a cross-sectional study was conducted based on a nationally representative sample of 91, 121 adults from 31 provinces in China. Integrated the data from satellites, chemical transport model, and ground observations, annual average concentrations of PM was obtained at the township level using a machine learning method. The information on body weight, height, and waist circumference (WC) were obtained from a questionnaire survey. The general obesity and abdominal obesity status were classified based on body mass index (BMI) and WC, respectively. Logistic and multivariate linear regression models were used to examine the association between PM and obesity-related traits, along with the examination of potential effect modifications. After adjustment for covariates, a 10 μg/m increase in PM concentration was associated with 8.0% [95% confidence interval (CI): 1.0%, 10.0%] and 10% (95% CI: 9.0%, 11.0%) increases in odds for general obesity and abdominal obesity, respectively. The odds ratios associated with per 10 μg/m PM increase were significantly greater in individuals of older age (≥60 years), of Han ethnicity, with lower socioeconomic status (SES), cooking without using a ventilation device, using unclean household fuels, having near-home pollution sources, and doing no physical exercise. These findings suggest that long-term exposure to ambient PM increase obesity risk in Chinese adults. It has significant significance to reduce air pollution to reducing the burden of obesity, particularly for the susceptible populations.
一些研究表明，空气污染可能是肥胖的一个风险因素，但有关空气污染暴露与成年人肥胖之间关联的证据有限。本研究旨在探讨中国成年人长期暴露于细颗粒物（PM）与肥胖相关特征之间的关系。因此，进行了一项基于中国 31 个省的 91121 名成年人的全国代表性样本的横断面研究。综合卫星、化学输送模型和地面观测数据，采用机器学习方法获得乡镇一级的 PM 年平均浓度。体重、身高和腰围（WC）的信息来自问卷调查。根据体重指数（BMI）和 WC 分别将一般肥胖和腹型肥胖状况进行分类。采用逻辑回归和多元线性回归模型来检验 PM 与肥胖相关特征之间的关联，并检验潜在的效应修饰作用。在调整了协变量后，PM 浓度增加 10μg/m，与一般肥胖和腹型肥胖的几率分别增加 8.0%（95%置信区间：1.0%，10.0%）和 10%（95%置信区间：9.0%，11.0%）相关。与 PM 每增加 10μg/m 相关的比值比在年龄较大（≥60 岁）、汉族、社会经济地位较低（SES）、不使用通风设备烹饪、使用不洁家用燃料、附近有污染源和不进行体育锻炼的个体中显著更高。这些发现表明，长期暴露于环境 PM 会增加中国成年人肥胖的风险。减少空气污染对于减轻肥胖负担具有重要意义，特别是对于易感人群。
