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Effects of Particulate Matter and Its Chemical Constituents on Elderly Hospital Admissions Due to Circulatory and Respiratory Diseases

机译:颗粒物及其化学成分对循环系统和呼吸系统疾病引起的老年医院入院的影响

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摘要

Various fractions of particulate matter have been associated with increased mortality and morbidity. The purpose of our study is to analyze the associations between concentrations of PM2.5, PM2.5–10, PM10 and their chemical constituents (soluble ions) with hospital admissions due to circulatory and respiratory diseases among the elderly in a medium-sized city in Brazil. A time series study was conducted using Poisson regression with generalized additive models adjusted for confounders. Statistically significant associations were identified between PM10 and PM2.5–10 and respiratory diseases. Risks of hospitalization increased by 23.5% (95% CI: 13.5; 34.3) and 12.8% (95% CI: 6.0; 20.0) per 10 μg/m3 of PM2.5-10 and PM10, respectively. PM2.5 exhibited a significant association with circulatory system diseases, with the risk of hospitalization increasing by 19.6% (95% CI: 6.4; 34.6) per 10 μg/m3. Regarding the chemical species; SO42−, NO3, NH4+ and K+ exhibited specific patterns of risk, relative to the investigated outcomes. Overall, SO42− in PM2.5–10 and K+ in PM2.5 were associated with increased risk of hospital admissions due to both types of diseases. The results agree with evidence indicating that the risks for different health outcomes vary in relation to the fractions and chemical composition of PM10. Thus, PM10 speciation studies may contribute to the establishment of more selective pollution control policies.
机译:各种颗粒物质与死亡率和发病率增加有关。我们研究的目的是分析中型城市老年人中由于循环系统和呼吸系统疾病引起的PM2.5,PM2.5-10,PM10的浓度及其化学成分(可溶性离子)与医院入院的关系在巴西。使用Poisson回归进行了时间序列研究,并针对混杂因素调整了广义加性模型。在PM10和PM2.5-10与呼吸系统疾病之间发现了具有统计学意义的关联。每10μg/ m 3 PM2.5-10和PM10,住院的风险分别增加23.5%(95%CI:13.5; 34.3)和12.8%(95%CI:6.0; 20.0),分别。 PM2.5与循环系统疾病显着相关,每10μg/ m 3 的住院风险增加19.6%(95%CI:6.4; 34.6)。关于化学种类;相对于研究对象,SO4 2-,NO3 -,NH4 + 和K + 表现出特定的风险模式结果。总体而言,由于两种疾病,PM2.5-10中的SO4 2 − 和PM2.5中的K + 与入院风险增加相关。结果与证据相符,表明不同健康结果的风险随PM10的含量和化学成分而变化。因此,PM10物种研究可能有助于建立更具选择性的污染控制政策。

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