Air pollution and hospitalizations in the largest Brazilian metropolis

Detalhes bibliográficos
Autor(a) principal: Gouveia,Nelson
Data de Publicação: 2017
Outros Autores: Corrallo,Flavia Prado, Leon,Antônio Carlos Ponce de, Junger,Washington, Freitas,Clarice Umbelino de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000100299
Resumo: ABSTRACT OBJECTIVE To evaluate the impact of air pollution on hospitalizations for respiratory and cardiovascular diseases in the largest Brazilian metropolis. METHODS This study was carried out at the Metropolitan Region of São Paulo, Brazil. Environmental data were obtained from the network of monitoring stations of nine municipalities. Air pollution exposure was measured by daily means of PM10 (particles with a nominal mean aerodynamic diameter ≤ 10 μm) per municipality, while daily counts of hospitalizations for respiratory and cardiovascular diseases within the Brazilian Unified Health System were the outcome. For each municipality a time series analysis was carried out in which a semiparametric Poisson regression model was the framework to explain the daily fluctuations on counts of hospitalizations over time. The results were combined in a meta-analysis to estimate the overall risk of PM10 in hospitalizations for respiratory and cardiovascular diseases at the Metropolitan Region of São Paulo. RESULTS Regarding hospitalizations for respiratory diseases, the effect estimates were statistically significant (p < 0.05) for all municipalities, except Santo André and Taboão da Serra. The RR (Relative Risk) of this outcome for an increase of 10 µg/m3 in the levels of PM10 ranged from 1.011 (95%CI 1.009–1.013) for São Paulo to 1.032 (95%CI 1.024–1.040) in São Bernardo do Campo. The RR of hospitalization for respiratory diseases in children for an increase of 10 µg/m3 of PM10 ranged from 1.009 (95%CI 1.001–1.017) in Santo André to 1.077 (95%CI 1.056–1.098) in Mauá. Only São Paulo and São Bernardo do Campo presented positive and statistically significant results for hospitalizations for cardiovascular diseases. CONCLUSIONS This is the first study to estimate the risk of illness from air pollution in the set of municipalities of the Metropolitan Region of São Paulo, Brazil. Global estimates of the effect of exposure to pollution in the region indicated associations only with respiratory diseases. Only São Paulo and São Bernardo do Campo showed an association between the levels of PM10 and hospitalizations for cardiovascular diseases.
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spelling Air pollution and hospitalizations in the largest Brazilian metropolisAir Pollution, adverse effectsRespiratory Diseases, epidemiologyCardiovascular Diseases, epidemiologyMeta-analysisABSTRACT OBJECTIVE To evaluate the impact of air pollution on hospitalizations for respiratory and cardiovascular diseases in the largest Brazilian metropolis. METHODS This study was carried out at the Metropolitan Region of São Paulo, Brazil. Environmental data were obtained from the network of monitoring stations of nine municipalities. Air pollution exposure was measured by daily means of PM10 (particles with a nominal mean aerodynamic diameter ≤ 10 μm) per municipality, while daily counts of hospitalizations for respiratory and cardiovascular diseases within the Brazilian Unified Health System were the outcome. For each municipality a time series analysis was carried out in which a semiparametric Poisson regression model was the framework to explain the daily fluctuations on counts of hospitalizations over time. The results were combined in a meta-analysis to estimate the overall risk of PM10 in hospitalizations for respiratory and cardiovascular diseases at the Metropolitan Region of São Paulo. RESULTS Regarding hospitalizations for respiratory diseases, the effect estimates were statistically significant (p < 0.05) for all municipalities, except Santo André and Taboão da Serra. The RR (Relative Risk) of this outcome for an increase of 10 µg/m3 in the levels of PM10 ranged from 1.011 (95%CI 1.009–1.013) for São Paulo to 1.032 (95%CI 1.024–1.040) in São Bernardo do Campo. The RR of hospitalization for respiratory diseases in children for an increase of 10 µg/m3 of PM10 ranged from 1.009 (95%CI 1.001–1.017) in Santo André to 1.077 (95%CI 1.056–1.098) in Mauá. Only São Paulo and São Bernardo do Campo presented positive and statistically significant results for hospitalizations for cardiovascular diseases. CONCLUSIONS This is the first study to estimate the risk of illness from air pollution in the set of municipalities of the Metropolitan Region of São Paulo, Brazil. Global estimates of the effect of exposure to pollution in the region indicated associations only with respiratory diseases. Only São Paulo and São Bernardo do Campo showed an association between the levels of PM10 and hospitalizations for cardiovascular diseases.Faculdade de Saúde Pública da Universidade de São Paulo2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000100299Revista de Saúde Pública v.51 2017reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.11606/s1518-8787.2017051000223info:eu-repo/semantics/openAccessGouveia,NelsonCorrallo,Flavia PradoLeon,Antônio Carlos Ponce deJunger,WashingtonFreitas,Clarice Umbelino deeng2017-11-29T00:00:00Zoai:scielo:S0034-89102017000100299Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2017-11-29T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Air pollution and hospitalizations in the largest Brazilian metropolis
title Air pollution and hospitalizations in the largest Brazilian metropolis
spellingShingle Air pollution and hospitalizations in the largest Brazilian metropolis
Gouveia,Nelson
Air Pollution, adverse effects
Respiratory Diseases, epidemiology
Cardiovascular Diseases, epidemiology
Meta-analysis
title_short Air pollution and hospitalizations in the largest Brazilian metropolis
title_full Air pollution and hospitalizations in the largest Brazilian metropolis
title_fullStr Air pollution and hospitalizations in the largest Brazilian metropolis
title_full_unstemmed Air pollution and hospitalizations in the largest Brazilian metropolis
title_sort Air pollution and hospitalizations in the largest Brazilian metropolis
author Gouveia,Nelson
author_facet Gouveia,Nelson
Corrallo,Flavia Prado
Leon,Antônio Carlos Ponce de
Junger,Washington
Freitas,Clarice Umbelino de
author_role author
author2 Corrallo,Flavia Prado
Leon,Antônio Carlos Ponce de
Junger,Washington
Freitas,Clarice Umbelino de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Gouveia,Nelson
Corrallo,Flavia Prado
Leon,Antônio Carlos Ponce de
Junger,Washington
Freitas,Clarice Umbelino de
dc.subject.por.fl_str_mv Air Pollution, adverse effects
Respiratory Diseases, epidemiology
Cardiovascular Diseases, epidemiology
Meta-analysis
topic Air Pollution, adverse effects
Respiratory Diseases, epidemiology
Cardiovascular Diseases, epidemiology
Meta-analysis
description ABSTRACT OBJECTIVE To evaluate the impact of air pollution on hospitalizations for respiratory and cardiovascular diseases in the largest Brazilian metropolis. METHODS This study was carried out at the Metropolitan Region of São Paulo, Brazil. Environmental data were obtained from the network of monitoring stations of nine municipalities. Air pollution exposure was measured by daily means of PM10 (particles with a nominal mean aerodynamic diameter ≤ 10 μm) per municipality, while daily counts of hospitalizations for respiratory and cardiovascular diseases within the Brazilian Unified Health System were the outcome. For each municipality a time series analysis was carried out in which a semiparametric Poisson regression model was the framework to explain the daily fluctuations on counts of hospitalizations over time. The results were combined in a meta-analysis to estimate the overall risk of PM10 in hospitalizations for respiratory and cardiovascular diseases at the Metropolitan Region of São Paulo. RESULTS Regarding hospitalizations for respiratory diseases, the effect estimates were statistically significant (p < 0.05) for all municipalities, except Santo André and Taboão da Serra. The RR (Relative Risk) of this outcome for an increase of 10 µg/m3 in the levels of PM10 ranged from 1.011 (95%CI 1.009–1.013) for São Paulo to 1.032 (95%CI 1.024–1.040) in São Bernardo do Campo. The RR of hospitalization for respiratory diseases in children for an increase of 10 µg/m3 of PM10 ranged from 1.009 (95%CI 1.001–1.017) in Santo André to 1.077 (95%CI 1.056–1.098) in Mauá. Only São Paulo and São Bernardo do Campo presented positive and statistically significant results for hospitalizations for cardiovascular diseases. CONCLUSIONS This is the first study to estimate the risk of illness from air pollution in the set of municipalities of the Metropolitan Region of São Paulo, Brazil. Global estimates of the effect of exposure to pollution in the region indicated associations only with respiratory diseases. Only São Paulo and São Bernardo do Campo showed an association between the levels of PM10 and hospitalizations for cardiovascular diseases.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.11606/s1518-8787.2017051000223
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dc.publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.51 2017
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
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instname_str Universidade de São Paulo (USP)
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institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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