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|本期目录/Table of Contents|

2016—2020年江西省南昌市大气污染物与儿童呼吸疾病门诊病例数的时间序列关联研究(PDF)

《现代预防医学》[ISSN:1003-8507/CN:51-1365/R]

期数:
2022年14期
页码:
2539-2545
栏目:
环境与职业卫生
出版日期:
2022-07-30

文章信息/Info

Title:
Time-series study on association between air pollution and the number of outpatient visits for respiratory diseases among children in Nanchang city, Jiangxi Province, 2016—2020
作者:
宋孝光1武昊12付俊杰1鲁柯柯12何文鑫12卢飞豹1江文斌1谢丽丽1何加芬1
1.江西省疾病预防控制中心环境健康所, 江西 南昌 330029;
2.南昌大学江西医学院公共卫生学院, 江西 南昌 330006
Author(s):
SONG Xiao-guang* WU Hao FU Jun-jie LU Ke-ke HE Wen-xin LU Fei-bao JIANG Wen-bin XIE Li-li HE Jia-fen
*Institute of Environmental Health, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi 330029, China
关键词:
大气污染物儿童呼吸系统疾病日门诊量时间序列方法
Keywords:
Air pollutant Childhood respiratory disorders Daily outpatient visits Time-series
分类号:
X503.1R122.2
DOI:
10.20043/j.cnki.MPM.202203033
文献标识码:
A
摘要:
目的 探讨江西省南昌市6种常规监测大气污染物对儿童呼吸疾病的影响。方法 选取2016-2020年江西省南昌市大气污染物、气象数据和江西省儿童医院呼吸系统日门诊量,采用时间序列Poisson分布的广义相加模型(GAM),定量分析大气污染物与儿童呼吸系统疾病门诊病例数的相关性。 结果 研究期间大气污染物SO2、NO2、O3-8h、CO、PM2.5、PM10的日均浓度分别为11.35 μg/m3、32.80 μg/m3、 91.80 μg/m3、0.89 mg/m3、37.42 μg/m3、68.22 μg/m3。PM2.5、PM10、SO2、CO、NO2的浓度升高对儿童呼吸系统疾病日门诊量的增加存在统计学意义,均在当日(lag0)和累积滞后第7 d(lag07)效应最强,其中SO2在累积滞后(lag07)的浓度值对儿童呼吸系统疾病门诊病例数的超额危险度(ER = 9.47%,95%CI:6.78%~12.22%)最大。双污染物模型中,调整其他5种污染物后,O3-8h对儿童呼吸系统疾病门诊量的增加无统计学意义;将O3-8h引入双污染物模型后,均一定程度的增加了其他污染物的效应,SO2在O3-8h的影响下,对儿童呼吸系统疾病门诊数影响效应值最大;PM2.5、PM10、O3-8h引入双污染模型后,SO2和NO2的效应值均扩大。 结论 2016-2020年大气污染物对南昌市儿童呼吸系统疾病有统计学影响,污染物浓度的升高导致儿童呼吸系统门诊量就诊人数增加,其中SO2对门诊量影响最大。
Abstract:
Objective To evaluate the effects of six routine monitoring pollutants on childhood respiratory disorders in Nanchang city, Jiangxi Province. Methods Data of the concentration of air pollutants, the corresponding meteorological data, and the daily outpatient visits for childhood respiratory disorders from Jiangxi Provincial Children’s Hospital between 2016 and 2020 were collected, and the correlation between air pollution and daily outpatient visits of childhood respiratory disorders were quantitatively assessed using generalized additive model (GAM) based on Poisson distribution. Results The average concentrations of SO2, NO2, O3-8h, CO, PM2.5, and PM10 during study period were 11.35 μg/m3, 32.80 μg/m3, 91.80 μg/m3, 0.89 mg/m3, 37.42 μg/m3, and 68.22 μg/m3, respectively. There was an obvious lag effect between the increase of air pollutants and the outpatient visits for childhood respiratory disorders, which was the strongest on the day (lag0) and the seventh day of cumulative lag (lag07). The concentration of SO2 in the cumulative lag (lag07) was the largest excess risk for childhood respiratory disorders (ER=9.47%, 95%CI: 6.78%-12.22%). The results of double-pollutant model showed that after adjusting the other five pollutants, O3-8h had no significant effect on the increase of outpatient number in childhood respiratory disorders. After the introduction of O3-8h into the model, the effect of other pollutants was increased to a certain extent. Under the influence of O3-8h, the effect of SO2 on the outpatient number of respiratory diseases in children was particularly obvious. After introducing PM2.5, PM10, O3-8h into the double-pollutant model, the effects of both SO2 and NO2 increased. Conclusion Air pollution has a significant impact on childhood respiratory disorders in Nanchang from 2016 to 2020, and the concentration of air pollutants could increase the number of daily outpatient visits for childhood respiratory disorders, among which SO2 has the strongest effect.

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备注/Memo

备注/Memo:
基金项目:江西省卫生健康委科技计划(20204847)
作者简介:宋孝光(1981-),男,硕士在读,研究方向:环境与健康
通信作者::何加芬,E-mail:277927308@qq.com
更新日期/Last Update: 2022-07-28