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Outdoor air concentrations of nitrogen dioxide and sulfur dioxide and prevalence of wheezing in school children.

机译:室外空气中二氧化氮和二氧化硫的浓度以及小学生的喘息流行。

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We report analysis of data on outdoor air pollution and respiratory symptoms in children collected in the Czech part of the international Small Area Variations in Air pollution and Health (SAVIAH) Project, a methodological study designed to test the use of geographical information systems (GIS) in studies of environmental exposures and health at small area level. We collected the following data in two districts of Prague: (1) individual data on 3,680 children (response rate 88%) by questionnaires; (2) census-based socio-demographic data for small geographical units; (3) concentrations of nitrogen dioxide (NO2) and sulfur dioxide (SO2) measured by passive samplers in three 2-week surveys at 80 and 50 locations, respectively. We integrated all data into a geographical information system. Modeling of NO2 and SO2 allowed estimation of exposure to outdoor NO2 and SO2 at school and at home for each child. We examined the associations between air pollution and prevalence of wheezing or whistling in the chest in the last 12 months by logistic regression at individual level, weighted least squares regression at small area (ecological) level and multilevel modeling. The results varied by the level of analysis and method of exposure estimation. In multilevel analyses using individual data, odds ratios per 10 microg/m3 increase in concentrations were 1.16 (95% CI = 0.95-1.42) for NO2, and 1.08 (95% CI = 0.97-1.21) for SO2. While mapping of spatial distribution of NO2 and SO2 in the study area appeared valid, the interpolation from outdoor to personal exposures requires consideration.
机译:我们报告了国际空气污染与健康小区域变异(SAVIAH)项目的捷克部分中收集的儿童室外空气污染和呼吸道症状的数据分析,该研究旨在测试地理信息系统(GIS)的使用方法在小范围内研究环境暴露和健康。我们在布拉格的两个地区收集了以下数据:(1)通过问卷调查获得了3,680名儿童的个人数据(答复率为88%); (2)基于人口普查的小地理单位的社会人口数据; (3)由被动采样器分别在80个和50个位置进行的三个为期2周的调查中测量的二氧化氮(NO2)和二氧化硫(SO2)的浓度。我们将所有数据整合到一个地理信息系统中。通过对NO2和SO2进行建模,可以估算每个孩子在学校和在家中暴露于室外NO2和SO2的程度。我们通过个体水平的逻辑回归,小面积(生态)水平的加权最小二乘回归和多层建模,研究了空气污染与过去12个月内胸部喘息或吹口哨的流行之间的关系。结果因分析水平和暴露估计方法而异。在使用单个数据进行的多级分析中,NO2浓度每增加10 microg / m3,比值比为1.16(95%CI = 0.95-1.42),SO2为1.08(95%CI = 0.97-1.21)。虽然研究区域中NO2和SO2的空间分布图似乎是有效的,但从室外暴露到个人暴露的插值方法需要考虑。

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