Liu Wen-Yi, Yi Jing-Ping, Shi Leiyu, Tung Tao-Hsin
Department of Health Policy Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Institute for Hospital Management, Tsing Hua University, Shenzhen, China.
Front Public Health. 2022 Apr 4;10:865798. doi: 10.3389/fpubh.2022.865798. eCollection 2022.
This study aimed to explore the time-series relationship between air pollutants and the number of children's respiratory outpatient visits in coastal cities.
We used time series analysis to investigate the association between air pollution levels and pediatric respiratory outpatient visits in Zhoushan city, China. The population was selected from children aged 0-18 who had been in pediatric respiratory clinics for eight consecutive years from 2014 to 2020. After describing the population and weather characteristics, a lag model was used to explore the relationship between outpatient visits and air pollution.
We recorded annual outpatient visits for different respiratory diseases in children. The best synergy lag model found a 10 μg/m increase in PM for every 4-10% increase in the number of pediatric respiratory outpatient visits ( < 0.05). The cumulative effect of an increase in the number of daily pediatric respiratory clinics with a lag of 1-7 days was the best model.
PM is significantly related to the number of respiratory outpatient visits of children, which can aid in formulating policies for health resource allocation and health risk assessment strategies.
本研究旨在探讨沿海城市空气污染物与儿童呼吸道门诊就诊次数之间的时间序列关系。
我们采用时间序列分析方法，研究中国舟山市空气污染水平与儿科呼吸道门诊就诊情况之间的关联。研究对象为2014年至2020年连续八年在儿科呼吸道门诊就诊的0至18岁儿童。在描述了人群和天气特征后，使用滞后模型探讨门诊就诊次数与空气污染之间的关系。
我们记录了儿童不同呼吸道疾病的年度门诊就诊次数。最佳协同滞后模型发现，每增加10μg/m的细颗粒物（PM），儿科呼吸道门诊就诊次数增加4%-10%（P<0.05）。滞后1至7天的每日儿科呼吸道门诊就诊次数增加的累积效应是最佳模型。
细颗粒物（PM）与儿童呼吸道门诊就诊次数显著相关，这有助于制定卫生资源分配政策和健康风险评估策略。
