Effects of particulate matter on hospital admissions for respiratory diseases: an ecological study based on 12.5 years of time series data in Shanghai.

Wenjia Peng, Hao Li, Li Peng, Ying Wang, Weibing Wang
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引用次数: 14

Abstract

Background: Previous epidemiological studies on the association between short-term exposure to particulate matter (PM) with hospital admission in major cities in China were limited to shorter study periods or a single hospital. The aim of this ecological study based on a 12.5-year time series was to investigate the association of short-term exposure to PM with aerodynamic diameter ≤ 2.5 μm (PM2.5) and aerodynamic diameter ≤ 10 μm (PM10) with hospital admissions for respiratory diseases.

Methods: Daily hospital admissions data were from the Shanghai Medical Insurance System for the period January 1, 2008 to July 31, 2020. We estimated the percentage change with its 95% confidence interval (CI) for each 10 μg/m3 increase in the level of PM2.5 and PM10 after adjustment for calendar time, day of the week, public holidays, and meteorological factors applying a generalized additive model with a quasi-Poisson distribution.

Results: There were 1,960,361 hospital admissions for respiratory diseases in Shanghai during the study period. A 10 μg/m3 increase in the level of each class of PM was associated with increased total respiratory diseases when the lag time was 0 day (PM2.5: 0.755%; 95% CI: 0.422, 1.089%; PM10: 0.250%; 95% CI: 0.042, 0.459%). The PM2.5 and PM10 levels also had positive associations with admissions for COPD, asthma, and pneumonia. Stratified analyses demonstrated stronger effects in patients more than 45 years old and during the cold season. Total respiratory diseases increased linearly with PM concentration from 0 to 100 μg/m3, and increased more slowly at higher PM concentrations.

Conclusions: This time-series study suggests that short-term exposure to PM increased the risk for hospital admission for respiratory diseases, even at low concentrations. These findings suggest that reducing atmospheric PM concentrations may reduce hospital admissions for respiratory diseases.

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颗粒物对呼吸系统疾病住院率的影响:基于上海12.5年时间序列数据的生态学研究
背景:以往关于中国主要城市短期暴露于颗粒物(PM)与住院之间关系的流行病学研究仅限于较短的研究时间或单一医院。本生态研究基于12.5年的时间序列,旨在探讨空气动力直径≤2.5 μm (PM2.5)和空气动力直径≤10 μm (PM10)的PM短期暴露与呼吸系统疾病住院率的关系。方法:2008年1月1日至2020年7月31日,每日住院人数数据来自上海市医保系统。我们使用准泊松分布的广义加性模型,对PM2.5和PM10水平每增加10 μg/m3进行调整后,使用95%置信区间(CI)估计其百分比变化。结果:在研究期间,上海市呼吸道疾病住院人数为1,960,361人。滞后时间为0 d时,各类PM水平每增加10 μg/m3,呼吸道疾病总量增加(PM2.5: 0.755%;95% ci: 0.422, 1.089%;可吸入颗粒物:0.250%;95% ci: 0.042, 0.459%)。PM2.5和PM10水平也与慢性阻塞性肺病、哮喘和肺炎的入院率呈正相关。分层分析表明,在45岁以上和寒冷季节的患者中,效果更强。在0 ~ 100 μg/m3范围内,呼吸系统总疾病随PM浓度线性增加,PM浓度越高,增加速度越慢。结论:这项时间序列研究表明,短期暴露于PM会增加因呼吸系统疾病住院的风险,即使浓度很低。这些发现表明,降低大气中PM浓度可能会减少呼吸道疾病的住院率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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