Long-term impacts of ambient fine particulate matter exposure on overweight or obesity in Chinese adults: The China-PAR project.

Long-term impacts of ambient fine particulate matter exposure on overweight or obesity in Chinese adults: The China-PAR project.
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DOI:
10.1016/j.envres.2021.111611
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发表时间:
2021-10
影响因子:
8.3
通讯作者:
Gu, Dongfeng
Gu, Dongfeng
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Huang, Sihan;Zhang, Xinyu;Liu, Zhongying;Liang, Fengchao;Li, Jianxin;Huang, Keyong;Yang, Xueli;Chen, Jichun;Liu, Xiaoqing;Cao, Jie;Chen, Shufeng;Shen, Chong;Yu, Ling;Zhao, Yingxin;Deng, Ying;Hu, Dongsheng;Huang, Jianfeng;Liu, Yang;Lu, Xiangfeng;Liu, Fangchao;Gu, Dongfeng

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尽管新兴的研究已经将环境中的细颗粒物(PM2.5)与肥胖联系起来,但来自高污染地区的证据仍然缺乏。因此,我们评估了PM2.5对身体质量指数和超重/肥胖流行风险(BMI≥25 kg/m2)的长期影响,纳入了著名的中国动脉粥样硬化性心血管疾病风险预测(中国-PAR)项目,该项目包括77,609名参与者,并使用基于卫星的1公里空间分辨率PM2.5估计值。长期PM2.5值平均值为70.4μg/m~3,变化范围为32.1~94.2μg/m~3。PM2.5值每增加10μg/m~3,体重指数和超重/肥胖风险分别增加0.421 kg/m~2(95%可信区间:0.402,0.439)和13.5%(95%可信区间:12.8%,14.3%)。此外,与PM2.5的最低四分位数(≤57.5μg/m~3)相比,最高四分位数(>85.9μg/m~3)超重/肥胖流行的相对风险为1.611(95%CI:1.566,1.657)。暴露-反应曲线表明PM2.5暴露与超重/肥胖之间存在非线性关系。此外,年龄、糖尿病、高血压和血脂异常状况也改变了这种关联。我们的研究为中国长期PM2.5对体重指数和超重/肥胖的不利影响提供了证据,研究结果对制定空气质量政策具有重要意义,特别是在污染严重的地区。
Although emerging researches have linked ambient fine particulate matter (PM2.5) to obesity, evidence from high-polluted regions is still lacking. We thus assessed the long-term impacts of PM2.5 on body mass index (BMI) and the risk of the prevalence of overweight/obesity (BMI≥25 kg/m2), by incorporating the well-established Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project comprising 77,609 participants with satellite-based PM2.5 estimates at 1-km spatial resolution. The average of long-term PM2.5 level was 70.4 μg/m3, with the range of 32.1–94.2 μg/m3. Each 10 μg/m3 increment of PM2.5 was associated with 0.421 kg/m2 (95% confidence interval [CI]: 0.402, 0.439) and 13.5% (95% CI: 12.8%, 14.3%) increased BMI and overweight/obesity risk, respectively. Moreover, compared with the lowest quartile of PM2.5 (≤57.5 μg/m3), the relative risk of the prevalence of overweight/obesity from the highest quartile (>85.9 μg/m3) was 1.611 (95% CI: 1.566, 1.657). The exposure-response curve suggested a non-linear relationship between PM2.5 exposure and overweight/obesity. Besides, the association was modified by age, diabetes mellitus, hypertension and dyslipidemia status. Our study provides the evidence for the adverse impacts of long-term PM2.5 on BMI and overweight/obesity in China, and the findings are important for policy development on air quality, especially in severely polluted areas.
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