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兰州市西固区空气中主要污染物对呼吸系统疾病门诊量的影响 [中文引用][英文引用]

Main Air Pollutants Effects on Number of Respiratory System Diseases Outpatient in Xigu District of Lanzhou

作者(英文):ZHAO Guixue1  FAN Ning1  ZHANG Xinglu1  ZHAO Xiaotong1  WEI Xingmin1  WU Jianjun1  LI Jinjuan1  WANG Yuhong2  WANG Jinyu3  LI Shouyu3  FENG Yali3  JIA Qing2  WANG Lingqing2  WEI Xingfu4  LI Sheng5 
单位(英文): 
分类号:R122.7
出版年·卷·期(页码):2019·9·第4期(320-325)
DOI:
-----摘要:-------------------------------------------------------------------------------------------

目的 探讨兰州市西固区空气中主要污染物对呼吸系统疾病门诊量的影响。方法 收集201611—20171231日西固区两家监测医院呼吸系统疾病每日门诊量数据,并收集同期环境监测数据。采用秩相关分析空气污染物和不同气象因素之间的关系;采用单因素和多因素广义相加模型分析西固区空气污染对医院呼吸系统门诊量的影响。结果 2016—2017年兰州市西固区监测医院呼吸系统的日均门诊量为98/次,四分位数间距为62/次;Spearman相关结果显示,除湿度与NO2CO及温度的相关性无统计学意义外,其余空气污染物和气象因素之间均存在相关性且差异有统计学意义(P<0.05);单因素广义相加模型分析显示,SO2NO2COPM10PM2.5分别在滞后21156 d时对呼吸系统门诊量的影响达到最大,RR95% CI分别为1.032 51.026 11.039 0)、1.032 01.028 61.035 5)、3.039 42.617 73.529 2)、1.002 11.001 41.002 9)、1.014 31.011 81.016 7);多因素广义相加模型下SO2NO2COPM10PM2.5RR值及95% CI分别为1.009 61.000 71.018 6)、1.005 51.000 21.010 9)、1.107 20.812 51.508 6)、1.002 21.000 71.003 8)和1.007 71.000 91.014 6),但CO对呼吸系统门诊量的影响差异无统计学意义。结论 空气中的SO2NO2PM10PM2.5会增加居民患呼吸系统疾病的风险,是引起呼吸系统疾病门诊量上升的原因之一。

-----英文摘要:---------------------------------------------------------------------------------------

Objectives To investigate the effects of main air pollutants on outpatient visits of respiratory system diseases in Xigu district of Lanzhou. Methods Daily outpatient visits data of respiratory system was collected from January 1,2016 to December 31, 2017 in 2 monitored hospitals in Xigu district, and environmental monitoring data was collected for the same period. Rank correlation was used to analyze the relationships between air pollutants and different meteorological factors. Single factor and multifactor generalized additive model were used to analyze the influence of main air pollutants on the outpatient visits respiratory system disease in Xigu district. Results From January 1,2016 to December 31,2017, the average daily outpatient visits number of the monitoring hospital's respiratory system disease was 98 person/time, and the quartile spacing was 62 person/time. Spearman correlation result showed that the correlations between humidity and NO2, CO and temperature were not statistically significant. Other air pollutants and meteorological factors were correlated and statistically significant. Univariate generalized additive model analysis showed that SO2, NO2, CO, PM10 and PM2.5 had the greatest impact on respiratory outpatient volume when the delay was 2 days,1 day,1 day, 5 days and 6 days respectively. RR and 95%CI were 1.032 5 (1.026 1,1.039 0), 1.032 0 (1.028 6,1.035 5), 3.039 4 (2.617 7,3.529 2), 1.002 1 (1.001 4,1.002 9), 1.014 3 (1.011 8,1.016 7), respectively. Under the multivariate generalized additive model, the RR values of SO2, NO2, CO, PM10 and PM2.5 were 1.009 6 (1.000 7,1.018 6), 1.005 5 (1.000 2,1.010 9), 1.107 2 (0.812 5,1.508 6), 1.002 2 (1.000 7,1.003 8), and 1.007 7 (1.000 9,1.014 6), respectively. However, the effect of CO on respiratory disease outpatient visits was not statistically significant. Conclusions SO2, NO2, PM10 and PM2.5 will increase the risk of residents suffering from respiratory diseases.

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中文着录格式: 赵贵雪1,,范宁1,,张兴璐1,,赵晓彤1,,魏兴民1,,吴建军1,,李金娟1,,王宇红2,,王金玉3,,李守禹3,,冯亚莉3,,贾清2,,王龄庆2,,韦性富4,,李盛5.兰州市西固区空气中主要污染物对呼吸系统疾病门诊量的影响.环境卫生学杂志.2019;9(4):320-325.
英文着录格式: ZHAO,Guixue1,,FAN,Ning1,,ZHANG,Xinglu1,,ZHAO,Xiaotong1,,WEI,Xingmin1,,WU,Jianjun1,,LI,Jinjuan1,,WANG,Yuhong2,,WANG,Jinyu3,,LI,Shouyu3,,FENG,Yali3,,JIA,Qing2,,WANG,Lingqing2,,WEI,Xingfu4,,LI,Sheng5.Main Air Pollutants Effects on Number of Respiratory System Diseases Outpatient in Xigu District of Lanzhou..2019;9(4):320-325.

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