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巴西马托格罗索州库亚巴市空气污染对儿童健康的影响。

Effects of exposure to air pollutants on children's health in Cuiabá, Mato Grosso State, Brazil.

作者信息

Machin Adrian Blanco, Nascimento Luiz Fernando Costa

机构信息

Universidade Estadual Paulista Júlio de Mesquita Filho, Guaratinguetá, Brasil.

Universidade de Taubaté, Taubaté, Brasil.

出版信息

Cad Saude Publica. 2018 Mar 8;34(3):e00006617. doi: 10.1590/0102-311X00006617.

Abstract

Exposure to air pollutants, usually measured by environmental agencies that are not present in all states, may be associated with respiratory admissions in children. An ecological time series study was conducted with data on hospitalizations due to selected respiratory diseases in children under 10 years of age in 2012 in the city of Cuiabá, Mato Grosso State, Brazil. Mean levels of fine particulate matter (PM2.5) were estimated with a mathematical model, data on low temperatures and relative humidity were obtained from the Brazilian National Institute of Meteorology, and the numbers of brush burnings were obtained from the Environmental Information System. The statistical approach used the Poisson regression generalized additive model with lags of 0 to 7 days. The financial costs and increases in hospitalizations due to increments in PM2.5 were estimated. There were 565 hospitalizations (mean 1.54 admissions/day; SD = 1.52), and mean PM2.5 concentration was 15.7µg/m3 (SD = 3.2). Associations were observed between exposure and hospitalizations in the second semester at lags 2 and 3, and at lag 2 when the entire year was analyzed. An increment of 5µg/m3 in PM2.5 was associated with an increase of 89 hospitalizations and costs exceeding BRL 95,000 (≈ USD 38,000) for the Brazilian Unified National Health System. Data estimated by mathematical models can be used in locations where pollutants are not monitored.

摘要

接触空气污染物(通常由并非在所有州都存在的环境机构进行测量)可能与儿童呼吸道疾病住院情况相关。在巴西马托格罗索州库亚巴市,针对2012年10岁以下儿童因特定呼吸道疾病住院的数据进行了一项生态时间序列研究。采用数学模型估算细颗粒物(PM2.5)的平均水平,从巴西国家气象研究所获取低温和相对湿度数据,从环境信息系统获取森林火灾次数。统计方法采用泊松回归广义相加模型,滞后时间为0至7天。估算了因PM2.5增加导致的住院费用和住院人数增加情况。共有565例住院病例(平均每天1.54例;标准差=1.52),PM2.5平均浓度为15.7µg/m3(标准差=3.2)。在第二学期,滞后2天和3天以及分析全年时滞后2天的情况下,观察到暴露与住院之间存在关联。PM2.5每增加5µg/m3,住院人数增加89例,巴西统一国家卫生系统的费用超过95,000雷亚尔(约合38,000美元)。通过数学模型估算的数据可用于未监测污染物的地区。

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