Journal of Shandong University (Health Sciences) ›› 2018, Vol. 56 ›› Issue (11): 98-104.doi: 10.6040/j.issn.1671-7554.0.2017.1268

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Time series analysis of the impacts of gaseous air pollutants on community residents outpatient visits in Licheng District of Jinan City during 2014 and 2016

MAN Jinyu1, YUE Kesan2, CUI Liangliang3, LI Xinwei3, HAN Lianyu2, WU Xingbin2, LIU Shouqin3   

  1. 1. Department of Epidemiology, School of Public Health, Shandong University, Jinan 250012, Shandong, China;
    2. Department of Public Health, Jinan Licheng District Center for Disease Control and Prevention, Jinan 250199, Shandong, China;
    3. Department of Environmental Health, Jinan Center for Disease Control and Prevention, Jinan 250021, Shandong, China
  • Published:2022-09-27

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Abstract: Objective To investigate the short-term effects of gaseous air pollutants on residents outpatient visits in the heavily polluted Licheng District of Jinan City. Methods The daily number of outpatients in a general hospital, daily air pollution and meteorological data in Licheng District during Jan. 1, 2014 and Dec. 31, 2016 were collected for 山 东 大 学 学 报 (医 学 版)56卷11期 -满金宇,等.2014~2016年济南市历城区大气气态污染物对社区人群门诊就诊影响的时间序列分析 \=-descriptive analysis. The relationship between the daily concentrations of gaseous air pollutants and the number of outpatients was analyzed with generalized linear model(GLM). The correlations between the concentrations of pollutants and different gender groups, age groups(<65 years and ≥65 years), respiratory diseases and cardiovascular diseases were evaluated. Results The total number of outpatients was 241 574, averaged 220 per day. The average daily concentrations of NO2, SO2 and CO were 53 μg/m3, 58 μg/m3 and 1 506 μg/m3, respectively. The concentration of NO2 was related to the number of outpatients. An increase of 10 μg/m3 in the concentration of NO2 meant the number of outpatients would increase by 1.13%(95%CI: 0.55%-1.70%)on lag0 and by 1.47%(95%CI:0.72%-2.22%)on lag02. There was correlation between the daily concentration of NO2 and the total number of outpatients, different gender groups and age groups, respiratory diseases and cardiovascular diseases. The same lag pattern was observed in different gender groups, age groups, and cardiovascular diseases. The pattern of respiratory diseases was different. The male had a higher risk than female, and the ≥65 group had a higher risk than the <65 group. Conclusion Our findings indicate that NO2 has posed a considerable risk to residents outpatient visits, and the elderly population(≥ 65 years)and males are more vulnerable.

Key words: Air pollution, Gaseous pollutants, Hospital visit, Time series analysis, Generalized linear model

CLC Number: 

  • R181.3+4
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