Long-term PM2.5 exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China

医学 哮喘 慢性阻塞性肺病 危险系数 队列 呼吸系统 比例危险模型 呼吸道疾病 队列研究 置信区间 入射(几何) 内科学 环境卫生 光学 物理
作者
Mengfan Yan,Ge Han,Liwen Zhang,Xi Chen,Xueli Yang,Fangchao Liu,Anqi Shan,Fengchao Liang,Xuejun Li,Zhao Ma,Guang‐Hui Dong,Yamin Liu,Jie Chen,Tong Wang,Baoxin Zhao,Qiang Zeng,Xiangfeng Lu,Yang Liu,Nai-jun Tang
出处
期刊:Ecotoxicology and Environmental Safety [Elsevier]
卷期号:244: 114025-114025 被引量:21
标识
DOI:10.1016/j.ecoenv.2022.114025
摘要

Several literatures have examined the risk of chronic respiratory diseases in association with short-term ambient PM2.5 exposure in China. However, little evidence has examined the chronic impacts of PM2.5 exposure on morbidity of chronic respiratory diseases in cohorts from high pollution countries. Our study aims to investigate the associations. Based on a retrospective cohort among adults in northern China, a Cox regression model with time-varying PM2.5 exposure and a concentration-response (C-R) curve model were performed to access the relationships between incidence of chronic respiratory diseases and long-term PM2.5 exposure during a mean follow-up time of 9.8 years. Individual annual average PM2.5 estimates were obtained from a satellite-based model with high resolution. The incident date of a chronic respiratory disease was identified according to self-reported physician diagnosis time and/or intake of medication for treatment. Among 38,047 urban subjects analyzed in all-cause chronic respiratory disease cohort, 482 developed new cases. In CB (38,369), asthma (38,783), and COPD (38,921) cohorts, the onsets were 276, 89, and 14, respectively. After multivariable adjustment, hazard ratio and 95% confidence interval for morbidity of all-cause chronic respiratory disease, CB, asthma, and COPD were 1.15 (1.01, 1.31), 1.20 (1.00, 1.42), 0.76 (0.55, 1.04), and 0.66 (0.29, 1.47) with each 10 μg/m3 increment in PM2.5, respectively. Stronger effect estimates were suggested in alcohol drinkers across stratified analyses. Additionally, the shape of C-R curve showed an increasing linear relationship before 75.00 μg/m3 concentrations of PM2.5 for new-onset all-cause chronic respiratory disease, and leveled off at higher levels. These findings indicated that long-term exposure to high-level PM2.5 increased the risks of incident chronic respiratory diseases in China. Further evidence of C-R curves is warranted to clarify the associations of adverse chronic respiratory outcomes involving air pollution.
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