Ouyang Feiyun, Liu Siyun, Mao Jie, Zheng Qianqian, Ma Tianlin, Hu Ming
Department of Epidemiology and Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Department of Medical Record, Chongqing General Hospital, Chongqing 400013, China.
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2017 Dec 28;42(12):1417-1424. doi: 10.11817/j.issn.1672-7347.2017.12.010.
To explore the relationship between air pollution and the number of pneumonia hospitalization in a children's hospital in Changsha. Methods: Children who have been in this hospital for the treatment of pneumonia between December 2013 and December 2015 were enrolled in this study. Based on daily meteorological data and air pollution data from December 2013 to December 2015 in Changsha, we constructed a generalized additive model to analyze the relationship between air pollution and the number of pneumonia hospitalization. Results: During the research, the average concentration of PM2.5 and PM10 exceeded the Grade II national standards for air quality. The average concentration of SO2 exceeded the Grade I national standards. The change of all the 3 main air pollution indexes showed strong statistical relationship with the change of the number of pneumonia hospitalization (P<0.05), among which, the impact of SO2 ranked number 1, followed by PM2.5 and PM10. Effect of atmospheric pollution on the number of pneumonia boys was basically same as that in the total pneumonia children (P<0.05). The effect on girls showed no statistical relationship in both models (P>0.05). Conclusion: The concentrations of SO2, PM2.5 and PM10 are positively correlated with pneumonia hospitalization number of children, and their effect on boys is more obvious than that in the girls.
探讨长沙市某儿童医院空气污染与肺炎住院人数之间的关系。方法：选取2013年12月至2015年12月期间在该院治疗肺炎的儿童作为研究对象。基于长沙市2013年12月至2015年的每日气象数据和空气污染数据，构建广义相加模型分析空气污染与肺炎住院人数之间的关系。结果：研究期间，PM2.5和PM10的平均浓度超过国家空气质量二级标准，SO2的平均浓度超过国家空气质量一级标准。3种主要空气污染指标的变化与肺炎住院人数的变化均呈现出较强的统计学关系（P<0.05），其中SO2的影响最为显著，其次是PM2.5和PM10。大气污染对肺炎男童住院人数的影响与总体肺炎儿童基本相同（P<0.05）。在两个模型中，大气污染对女童住院人数的影响均无统计学意义（P>0.05）。结论：SO2、PM2.5和PM10浓度与儿童肺炎住院人数呈正相关，且对男孩的影响比对女孩更明显。
