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Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis

Most air pollution research conducted in Brazil has focused on assessing the daily-term effects of pollutants, but little is known about the health effects of air pollutants at an intermediate time term. The objective of this study was to determine the monthly-term association between air pollution...

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Autores principales: Agudelo-Castañeda, Dayana Milena, Calesso Teixeira, Elba, Alves, Larissa, Fernández-Niño, Julián Alfredo, Rodríguez-Villamizar, Laura Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843508/
https://www.ncbi.nlm.nih.gov/pubmed/31600878
http://dx.doi.org/10.3390/ijerph16203787
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author Agudelo-Castañeda, Dayana Milena
Calesso Teixeira, Elba
Alves, Larissa
Fernández-Niño, Julián Alfredo
Rodríguez-Villamizar, Laura Andrea
author_facet Agudelo-Castañeda, Dayana Milena
Calesso Teixeira, Elba
Alves, Larissa
Fernández-Niño, Julián Alfredo
Rodríguez-Villamizar, Laura Andrea
author_sort Agudelo-Castañeda, Dayana Milena
collection PubMed
description Most air pollution research conducted in Brazil has focused on assessing the daily-term effects of pollutants, but little is known about the health effects of air pollutants at an intermediate time term. The objective of this study was to determine the monthly-term association between air pollution and respiratory morbidity in five cities in South Brazil. An ecological time-series study was performed using the municipality as the unit of observation in five cities in South Brazil (Gravataí, Triunfo, Esteio, Canoas, and Charqueadas) between 2013 and 2016. Data for hospital admissions was obtained from the records of the Hospital Information Service. Air pollution data, including PM(10), SO(2), CO, NO(2), and O(3) (µg/m(3)) were obtained from the environmental government agency in Rio Grande do Sul State. Panel multivariable Poisson regression models were adjusted for monthly counts of respiratory hospitalizations. An increase of 10 μg/m(3) in the monthly average concentration of PM(10) was associated with an increase of respiratory hospitalizations in all age groups, with the maximum effect on the population aged between 16 and 59 years (IRR: Incidence rate ratio 2.04 (95% CI: Confidence interval = 1.97–2.12)). For NO(2) and SO(2), stronger intermediate-term effects were found in children aged between 6 and 15 years, while for O(3) higher effects were found in children under 1 year. This is the first multi-city study conducted in South Brazil to account for intermediate-term effects of air pollutants on respiratory health.
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spelling pubmed-68435082019-11-25 Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis Agudelo-Castañeda, Dayana Milena Calesso Teixeira, Elba Alves, Larissa Fernández-Niño, Julián Alfredo Rodríguez-Villamizar, Laura Andrea Int J Environ Res Public Health Article Most air pollution research conducted in Brazil has focused on assessing the daily-term effects of pollutants, but little is known about the health effects of air pollutants at an intermediate time term. The objective of this study was to determine the monthly-term association between air pollution and respiratory morbidity in five cities in South Brazil. An ecological time-series study was performed using the municipality as the unit of observation in five cities in South Brazil (Gravataí, Triunfo, Esteio, Canoas, and Charqueadas) between 2013 and 2016. Data for hospital admissions was obtained from the records of the Hospital Information Service. Air pollution data, including PM(10), SO(2), CO, NO(2), and O(3) (µg/m(3)) were obtained from the environmental government agency in Rio Grande do Sul State. Panel multivariable Poisson regression models were adjusted for monthly counts of respiratory hospitalizations. An increase of 10 μg/m(3) in the monthly average concentration of PM(10) was associated with an increase of respiratory hospitalizations in all age groups, with the maximum effect on the population aged between 16 and 59 years (IRR: Incidence rate ratio 2.04 (95% CI: Confidence interval = 1.97–2.12)). For NO(2) and SO(2), stronger intermediate-term effects were found in children aged between 6 and 15 years, while for O(3) higher effects were found in children under 1 year. This is the first multi-city study conducted in South Brazil to account for intermediate-term effects of air pollutants on respiratory health. MDPI 2019-10-09 2019-10 /pmc/articles/PMC6843508/ /pubmed/31600878 http://dx.doi.org/10.3390/ijerph16203787 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Agudelo-Castañeda, Dayana Milena
Calesso Teixeira, Elba
Alves, Larissa
Fernández-Niño, Julián Alfredo
Rodríguez-Villamizar, Laura Andrea
Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis
title Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis
title_full Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis
title_fullStr Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis
title_full_unstemmed Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis
title_short Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis
title_sort monthly-term associations between air pollutants and respiratory morbidity in south brazil 2013–2016: a multi-city, time-series analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843508/
https://www.ncbi.nlm.nih.gov/pubmed/31600878
http://dx.doi.org/10.3390/ijerph16203787
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