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目的探讨唐山市大气污染对居民呼吸系统疾病日门诊人数的影响。方法收集唐山市2014年11月—2015年3月期间的气象条件、大气污染物浓度、人群呼吸系统疾病日门诊人数等资料,采用相关和多元线性回归分析大气污染物浓度与人群呼吸系统疾病日门诊人数之间的相关性。结果唐山市2014年11月—2015年3月主要大气污染物为PM_(2.5)、PM_(10)和NO_2,日平均浓度分别为(104.5±62.8)μg/m~3、(175.7±91.1)μg/m~3和(72.4±26.3)μg/m~3。呼吸系统疾病日门诊人数与PM_(2.5)和PM_(10)浓度之间的Spearman相关系数分别为0.252和0.163(P<0.05);多元线性逐步回归分析显示,只有大气PM_(2.5)浓度进入呼吸系统疾病日门诊人数的回归方程,标准回归系数为0.502(P<0.05)。结论大气PM_(2.5)浓度与某医院呼吸系统疾病日门诊人数之间存在正相关。
Objective To investigate the impact of air pollution on the number of outpatients with respiratory diseases in Tangshan City. Methods Data of Tangshan from November 2014 to March 2015 were collected, such as meteorological conditions, air pollutant concentration, number of outpatients in respiratory diseases day and so on. Correlation and multiple linear regression were used to analyze the relationship between air pollutant concentration and respiratory disease day Correlation between patient numbers. Results The main air pollutants of PM2.5, PM10 and NO2 in Tangshan City from November 2014 to March 2015 were (104.5 ± 62.8) μg / m 3, (175.7 ± 91.1) μg / m ~ 3 and (72.4 ± 26.3) μg / m ~ 3. The Spearman correlation coefficients between the numbers of outpatients with respiratory diseases and the concentrations of PM 2.5 and PM 10 were 0.252 and 0.163 respectively (P <0.05). Multivariate linear stepwise regression analysis showed that only PM 2.5 concentrations in the atmosphere entered the respiratory tract The regression equation of the number of outpatients on system disease day was 0.502 (P <0.05). Conclusion There is a positive correlation between PM_ (2.5) concentration in the atmosphere and the number of outpatients in a hospital respiratory disease day.