Acute effects of ambient air pollution on outpatient children with respiratory diseases in Shijiazhuang, China

被引:60
|
作者
Song, Jie [1 ,2 ]
Lu, Mengxue [3 ]
Zheng, Liheng [4 ]
Liu, Yue [5 ]
Xu, Pengwei [1 ]
Li, Yuchun [1 ]
Xu, Dongqun [5 ]
Wu, Weidong [1 ,2 ]
机构
[1] Xinxiang Med Univ, Sch Publ Hlth, Xinxiang 453003, Peoples R China
[2] Henan Int Collaborat Lab Hlth Effects & Intervent, Xinxiang 453003, Peoples R China
[3] Xinxiang Med Univ, Xinxiang 453003, Peoples R China
[4] Hebei Chest Hosp, Shijiazhuang 050041, Hebei, Peoples R China
[5] Chinese Ctr Dis Control & Prevent, Natl Inst Environm Hlth, Beijing 100021, Peoples R China
来源
BMC PULMONARY MEDICINE | 2018年 / 18卷
基金
中国国家自然科学基金;
关键词
Air pollution; Respiratory disease; Children; Outpatients; Time-series study; PARTICULATE MATTER; TIME-SERIES; HOSPITAL VISITS; DAILY MORTALITY; INFECTIONS; ADMISSIONS; OZONE;
D O I
10.1186/s12890-018-0716-3
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background: Associations between ambient air pollution and child health outcomes have been well documented in developed countries such as the United States; however, only a limited number of studies have been conducted in developing countries. This study aimed to explore the acute effects of five ambient air pollutants (inhalable particles [PM10], fine particles [PM2.5], sulfur dioxide [SO2], nitrogen dioxide [NO2] and 0zone [O-3]) on children hospital outpatients with respiratory diseases in Shijiazhuang, China. Methods: Three years (2013-2015) of daily data, including cause-specific respiratory outpatient records and the concentrations of five air pollutants, were collected to examine the short-term association between air pollution and children's respiratory diseases; using a quasi-Poisson regression generalized additive model. Stratified analyses by season and age were also performed. Results: From 2013 to 2015, a total of 551,678 hospital outpatient records for children with respiratory diseases were collected in Shijiazhuang, China. A 10 mu g/m(3) increase in a two-day average concentration (lag01) of NO2, PM2.5, and SO2 corresponded to an increase of 0.66% (95% confidence interval [CI]: 0.30-1.03%), 0.13% (95% CI: 0.02-0.24%), and 0.33% (95% CI: 0.10-0.56%) in daily hospital outpatient visits for children with respiratory diseases, respectively. The effects were stronger in the transition season (April, May, September and October) than in other seasons (the hot season [June to August] and the cool season [November to March]). Furthermore, results indicated a generally stronger association in older (7-14 years of age) than younger children (< 7 years of age). Conclusions: This research found a significant association between ambient NO2, PM2.5, and SO2 levels and hospital outpatient visits in child with respiratory diseases in Shijiazhuang, China.
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收藏
页数:10
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