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应用时间分层病例交叉设计探索不同城市形态城市空气污染和季节对儿童哮喘住院的影响:政府开放数据的大数据分析。

Application of a Time-Stratified Case-Crossover Design to Explore the Effects of Air Pollution and Season on Childhood Asthma Hospitalization in Cities of Differing Urban Patterns: Big Data Analytics of Government Open Data.

机构信息

Institute of Information Management, Yuan-Ze University, 135 Yuan-Tung Road, Jung-Li, Taoyuan 320, Taiwan.

Department of Medical Administration, Taoyuan General Hospital, Ministry of Health and Welfare, 1492 Zhongshan Road, Taoyuan Dist., Taoyuan 330, Taiwan.

出版信息

Int J Environ Res Public Health. 2018 Mar 31;15(4):647. doi: 10.3390/ijerph15040647.

DOI:10.3390/ijerph15040647
PMID:29614737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5923689/
Abstract

Few studies have assessed the lagged effects of levels of different urban city air pollutants and seasons on asthma hospitalization in children. This study used big data analysis to explore the effects of daily changes in air pollution and season on childhood asthma hospitalization from 2001 to 2010 in Taipei and Kaohsiung City, Taiwan. A time-stratified case-crossover study and conditional logistic regression analysis were employed to identify associations between the risk of hospitalization due to asthma in children and the levels of air pollutants (PM, PM, O₃, SO₂, and NO₂) in the days preceding hospitalization. During the study period, 2900 children in Taipei and 1337 in Kaohsiung aged ≤15 years were hospitalized due to asthma for the first time. The results indicated that the levels of air pollutants were significantly associated with the risk of asthma hospitalization in children, and seasonal effects were observed. High levels of air pollution in Kaohsiung had greater effects than in Taipei after adjusting for seasonal variation. The most important factor was O₃ in spring in Taipei. In children aged 0-6 years, asthma was associated with O₃ in Taipei and SO₂ in Kaohsiung, after controlling for the daily mean temperature and relative humidity.

摘要

很少有研究评估不同城市空气污染物水平和季节对儿童哮喘住院的滞后影响。本研究使用大数据分析方法,探讨了 2001 年至 2010 年台湾台北市和高雄市空气污染日变化水平和季节变化对儿童哮喘住院的影响。采用时间分层病例交叉研究和条件逻辑回归分析,确定了儿童哮喘住院风险与大气污染物(PM、PM、O₃、SO₂和 NO₂)在住院前几天的水平之间的关联。在研究期间,台北市有 2900 名儿童和高雄市有 1337 名年龄≤15 岁的儿童首次因哮喘住院。结果表明,大气污染物水平与儿童哮喘住院风险显著相关,且存在季节性影响。调整季节性变化后,高雄市高水平的空气污染比台北市的影响更大。最重要的因素是台北市春季的 O₃。在年龄为 0-6 岁的儿童中,在控制每日平均温度和相对湿度后,哮喘与台北的 O₃和高雄的 SO₂有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a43/5923689/6415cf1f6bda/ijerph-15-00647-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a43/5923689/6415cf1f6bda/ijerph-15-00647-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a43/5923689/6415cf1f6bda/ijerph-15-00647-g001.jpg

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