Association of short-term exposure to ambient fine particle matter with hospital admission risks and costs in China, a case-crossover study

Q1 Social Sciences
Yuze Gao , Jiangshao Gu , Ying Shi , Haibo Wang , Ting Chen , Qian Di
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引用次数: 2

Abstract

As Fine particulate matter (PM2.5) levels declined in China in past years, the health and social benefits brought about by the air quality improvement are beginning to emerge. We did a time-stratified, case-crossover study which including in total of 106, 120, 862 hospital admissions from 1040 class 3 hospitals in 268 cities, 31 provinces in China, from January 1, 2013 to December 31, 2017, obtained from High Quality Monitoring System (HQMS). We obtained PM2.5 and ozone concentrations from a high-resolution model and joined daily air pollution estimates for each patient based on hospital location. To assess the association between main air pollutants and hospital admission, hospital days, and hospitalization expenses, we applied conditional logistic regressions to perform a risk assessment associated with main pollutants (PM2.5 and Ozone) in two-pollutant models. The results show that the risk of hospital admission was positively associated with short-term exposure to PM2.5 in all major diseases. Specifically, every 10 μg/m3 increase in the concentration level of PM2.5 (adjusted for ozone) was associated with 0.27% (95% CI: 0.25%, 0.29%) increase in hospital admission, 39.00 (95% CI: 36.11, 41.89) yuan increase in hospitalization expense per admission, and 0.0280 (95% CI: 0.0259, 0.0300) days increase in hospital days per admission. Moreover, the relative risk increases of mental disorders, respiratory diseases and circulatory diseases showed significant associations with short-term PM2.5 exposure. Based on our calculations, improved air quality since 2013 saved 2.28 billion yuan in medical expenses in 2017.

中国短期暴露于环境细颗粒物与住院风险和费用的相关性,一项案例交叉研究
随着过去几年中国细颗粒物(PM2.5)水平的下降,空气质量改善带来的健康和社会效益开始显现。我们进行了一项时间分层的病例交叉研究,包括2013年1月1日至2017年12月31日来自中国31个省268个城市1040家三级医院的106120862名住院患者,这些患者来自高质量监测系统。我们从高分辨率模型中获得了PM2.5和臭氧浓度,并根据医院位置加入了每位患者的每日空气污染估计。为了评估主要空气污染物与入院、住院天数和住院费用之间的关系,我们应用条件logistic回归对两个污染物模型中的主要污染物(PM2.5和臭氧)进行了风险评估。结果表明,在所有主要疾病中,住院风险与短期暴露于PM2.5呈正相关。具体而言,PM2.5浓度水平每增加10微克/立方米(经臭氧调整),住院天数就会增加0.27%(95%CI:0.25%,0.29%),每次住院费用会增加39.00(95%CI:36.11,41.89)元,每次住院天数会增加0.0280(95%CI:0.0259,0.0300)天。此外,精神障碍、呼吸系统疾病和循环系统疾病的相对风险增加与短期PM2.5暴露显著相关。根据我们的计算,自2013年以来,空气质量的改善为2017年节省了22.8亿元的医疗费用。
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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来源期刊
Global Transitions
Global Transitions Social Sciences-Development
CiteScore
18.90
自引率
0.00%
发文量
1
审稿时长
20 weeks
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