Peng Zhaoqiong, Yu Shuyuan, Zhang Zhen, Liu Guohong, He Long, Liao Xiangqing, Zhang Ling, Wu Hui, Wu Yongsheng
Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Wei Sheng Yan Jiu. 2011 Jul;40(4):485-8.
To explore quantitatively the impact of the ambient air PM10 concentration (inhalable particulate matter) on the hospital outpatients for respiratory diseases.
Daily hospital visits data in 2008 was collected from a hospital in Shenzhen, meteorological data and air pollution data were collected from Shenzhen Meteorological Bureau and Shenzhen Environmental Protection Bureau, respectively. There was a time serial analysis using semi-parameter generalized additive model extend Poisson regression, after controlled with long-term tend, the-day-of-week, meteorological factors and other air pollutants. Excess relative risks (ER) of daily hospital visits associated with increased PM10 level were estimated.
Ambient air PM10 concentration were no association with the increase of outpatients for respiratory in the same day. The lagged effect of 5 days with an ER of 1.113% (95% CI 0.613% - 1.616%) was observed. Except (PM10 + CO) model, the ER value increased when SO2, NO2, CO concentrations were introduced.
The ambient air PM10 concentration could positively associated with the increase of daily hospital visits for respiratory diseases in Shenzhen.
定量探讨环境空气中PM10浓度(可吸入颗粒物)对呼吸系统疾病医院门诊量的影响。
收集深圳市某医院2008年的每日门诊数据,气象数据和空气污染数据分别来自深圳市气象局和深圳市环境保护局。采用半参数广义相加模型扩展泊松回归进行时间序列分析,控制长期趋势、星期几、气象因素和其他空气污染物。估计与PM10水平升高相关的每日门诊量的超额相对风险(ER)。
环境空气中PM10浓度与当日呼吸系统门诊量的增加无关联。观察到滞后5天的效应,ER为1.113%(95%CI 0.613% - 1.616%)。除(PM10 + CO)模型外,引入SO2、NO2、CO浓度时ER值增加。
深圳市环境空气中PM10浓度与呼吸系统疾病每日门诊量的增加呈正相关。