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[气象变量、空气污染及其与儿童呼吸系统疾病住院率的关联:巴西圣保罗的案例研究]

[Meteorological variables and air pollution and their association with hospitalizations due to respiratory diseases in children: a case study in São Paulo, Brazil].

作者信息

Moraes Sara Lopes de, Almendra Ricardo, Santana Paula, Galvani Emerson

机构信息

Faculdade de Filosofia, Letras e Ciências Humanas, Universidade de São Paulo, São Paulo, Brasil.

Universidade de Coimbra, Coimbra, Portugal.

出版信息

Cad Saude Publica. 2019 Jul 29;35(7):e00101418. doi: 10.1590/0102-311X00101418.

DOI:10.1590/0102-311X00101418
PMID:31365700
Abstract

Urban climate changes, excessive air pollution, and increasing social inequalities have become determinant factors in the high risk of hospitalizations due to respiratory diseases. The current study thus aimed to understand how meteorological factors (air temperature, relative humidity, and precipitation) and air pollution (particulate matter with aerodynamic diameter less than 10µm - PM10) are related to hospitalizations due to respiratory diseases in children in 14 districts in the city of São Paulo, Brazil. The combination of generalized linear models with a negative binomial distribution and distributed lag non-linear model (DLNM) were used as the statistical method to analyze the relationship between hospitalizations, climatic factors, and pollution from 2003 to 2013. The results show statistically significant association with high relative risk between mean air temperature (17.5ºC to 21ºC, for the total analyzed), relative humidity (84% to 98% for females), precipitation (0mm to 2.3mm for the total and both sexes and > 120mm for females), and PM10 (> 35µg/m³ for the total and for females). These results showed that environmental factors contribute to the high risk of hospitalizations.

摘要

城市气候变化、空气污染过度以及社会不平等加剧,已成为因呼吸系统疾病住院风险高的决定性因素。因此,本研究旨在了解气象因素(气温、相对湿度和降水量)以及空气污染(空气动力学直径小于10微米的颗粒物——PM10)与巴西圣保罗市14个区儿童因呼吸系统疾病住院之间的关系。采用广义线性模型与负二项分布相结合以及分布滞后非线性模型(DLNM)作为统计方法,分析2003年至2013年期间住院情况、气候因素和污染之间的关系。结果显示,平均气温(分析总体为17.5ºC至21ºC)、相对湿度(女性为84%至98%)、降水量(总体及男女均为0毫米至2.3毫米,女性大于120毫米)和PM10(总体及女性均大于35µg/m³)与高相对风险之间存在统计学显著关联。这些结果表明,环境因素导致了住院的高风险。

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