Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/1414-431X20188130 http://hdl.handle.net/11449/186205 |
Resumo: | Exposure to air pollution is an important cause of hospital admissions due to respiratory diseases. Nevertheless, few studies use pollutant concentration data estimated by mathematical models. A time-series ecological study was developed, using data from hospitalizations due to respiratory diseases in people over 60 years of age, residents of Cuiaba, Brazil, during 2012, obtained from the Brazilian Ministry of Health. The independent variables were the concentrations of fine particulate matter (PM2.5) and carbon monoxide (CO) estimated by mathematical modeling, minimum temperature, and relative humidity (obtained from the Brazilian Meteorological Agency), and the number of forest fires. The generalized linear regression model of Poisson was used, with lags of 0 to 7 days. The coefficients obtained were transformed into relative risk of hospitalization, with respective 95% confidence intervals; alpha=5% was adopted. In that year, 591 hospitalizations were evaluated, with a daily average of 1.61 (SD=1.49), the PM2.5 average concentration was 15.7 mu g/m(3), and the CO average concentration was 144.2 ppb. Significant associations between exposure to these contaminants and hospitalizations in lags 3 and 4 in 2012 were observed. There was a hospitalization risk increase of 31.8%, with an increase of 3.5 mu g/m(3) of PM2.5 concentrations and an increase of 188 in the total number of hospitalizations, with an expense of more than approximate to US$ 96,000 for the Brazilian Public Health System. This study provided information on the cost of air pollution to the health system and the feasibility of using a mathematical model to estimate environmental concentration of air pollutants. |
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Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian AmazonAir pollutantsParticulate matterRespiratory diseasesElderly healthMathematical modelingExposure to air pollution is an important cause of hospital admissions due to respiratory diseases. Nevertheless, few studies use pollutant concentration data estimated by mathematical models. A time-series ecological study was developed, using data from hospitalizations due to respiratory diseases in people over 60 years of age, residents of Cuiaba, Brazil, during 2012, obtained from the Brazilian Ministry of Health. The independent variables were the concentrations of fine particulate matter (PM2.5) and carbon monoxide (CO) estimated by mathematical modeling, minimum temperature, and relative humidity (obtained from the Brazilian Meteorological Agency), and the number of forest fires. The generalized linear regression model of Poisson was used, with lags of 0 to 7 days. The coefficients obtained were transformed into relative risk of hospitalization, with respective 95% confidence intervals; alpha=5% was adopted. In that year, 591 hospitalizations were evaluated, with a daily average of 1.61 (SD=1.49), the PM2.5 average concentration was 15.7 mu g/m(3), and the CO average concentration was 144.2 ppb. Significant associations between exposure to these contaminants and hospitalizations in lags 3 and 4 in 2012 were observed. There was a hospitalization risk increase of 31.8%, with an increase of 3.5 mu g/m(3) of PM2.5 concentrations and an increase of 188 in the total number of hospitalizations, with an expense of more than approximate to US$ 96,000 for the Brazilian Public Health System. This study provided information on the cost of air pollution to the health system and the feasibility of using a mathematical model to estimate environmental concentration of air pollutants.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Estadual Paulista, Fac Engn Guaratingueta, Guaratingueta, SP, BrazilUniv Taubate, Programa Posgrad Ciencias Ambientais, Taubate, SP, BrazilFac Tecnol Guaratingueta FATEC, Guaratingueta, SP, BrazilUniv Concepcion, Fac Ingn, Dept Ingn Mecan, Concepcion, ChileUniv Estadual Paulista, Fac Engn Guaratingueta, Guaratingueta, SP, BrazilCAPES: 001CNPq: 311109-2014-4Assoc Bras Divulg CientificaUniversidade Estadual Paulista (Unesp)Univ TaubateFac Tecnol Guaratingueta FATECUniv ConcepcionMachin, A. B. [UNESP]Nascimento, L. F. [UNESP]Mantovani, K.Machin, E. B.2019-10-04T12:42:49Z2019-10-04T12:42:49Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article7application/pdfhttp://dx.doi.org/10.1590/1414-431X20188130Brazilian Journal Of Medical And Biological Research. Ribeirao Preto: Assoc Bras Divulg Cientifica, v. 52, n. 2, 7 p., 2019.0100-879Xhttp://hdl.handle.net/11449/18620510.1590/1414-431X20188130S0100-879X2019000200604WOS:000456508800001S0100-879X2019000200604.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBrazilian Journal Of Medical And Biological Researchinfo:eu-repo/semantics/openAccess2023-11-07T06:09:08Zoai:repositorio.unesp.br:11449/186205Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-07T06:09:08Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon |
title |
Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon |
spellingShingle |
Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon Machin, A. B. [UNESP] Air pollutants Particulate matter Respiratory diseases Elderly health Mathematical modeling |
title_short |
Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon |
title_full |
Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon |
title_fullStr |
Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon |
title_full_unstemmed |
Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon |
title_sort |
Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon |
author |
Machin, A. B. [UNESP] |
author_facet |
Machin, A. B. [UNESP] Nascimento, L. F. [UNESP] Mantovani, K. Machin, E. B. |
author_role |
author |
author2 |
Nascimento, L. F. [UNESP] Mantovani, K. Machin, E. B. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Univ Taubate Fac Tecnol Guaratingueta FATEC Univ Concepcion |
dc.contributor.author.fl_str_mv |
Machin, A. B. [UNESP] Nascimento, L. F. [UNESP] Mantovani, K. Machin, E. B. |
dc.subject.por.fl_str_mv |
Air pollutants Particulate matter Respiratory diseases Elderly health Mathematical modeling |
topic |
Air pollutants Particulate matter Respiratory diseases Elderly health Mathematical modeling |
description |
Exposure to air pollution is an important cause of hospital admissions due to respiratory diseases. Nevertheless, few studies use pollutant concentration data estimated by mathematical models. A time-series ecological study was developed, using data from hospitalizations due to respiratory diseases in people over 60 years of age, residents of Cuiaba, Brazil, during 2012, obtained from the Brazilian Ministry of Health. The independent variables were the concentrations of fine particulate matter (PM2.5) and carbon monoxide (CO) estimated by mathematical modeling, minimum temperature, and relative humidity (obtained from the Brazilian Meteorological Agency), and the number of forest fires. The generalized linear regression model of Poisson was used, with lags of 0 to 7 days. The coefficients obtained were transformed into relative risk of hospitalization, with respective 95% confidence intervals; alpha=5% was adopted. In that year, 591 hospitalizations were evaluated, with a daily average of 1.61 (SD=1.49), the PM2.5 average concentration was 15.7 mu g/m(3), and the CO average concentration was 144.2 ppb. Significant associations between exposure to these contaminants and hospitalizations in lags 3 and 4 in 2012 were observed. There was a hospitalization risk increase of 31.8%, with an increase of 3.5 mu g/m(3) of PM2.5 concentrations and an increase of 188 in the total number of hospitalizations, with an expense of more than approximate to US$ 96,000 for the Brazilian Public Health System. This study provided information on the cost of air pollution to the health system and the feasibility of using a mathematical model to estimate environmental concentration of air pollutants. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-04T12:42:49Z 2019-10-04T12:42:49Z 2019-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/1414-431X20188130 Brazilian Journal Of Medical And Biological Research. Ribeirao Preto: Assoc Bras Divulg Cientifica, v. 52, n. 2, 7 p., 2019. 0100-879X http://hdl.handle.net/11449/186205 10.1590/1414-431X20188130 S0100-879X2019000200604 WOS:000456508800001 S0100-879X2019000200604.pdf |
url |
http://dx.doi.org/10.1590/1414-431X20188130 http://hdl.handle.net/11449/186205 |
identifier_str_mv |
Brazilian Journal Of Medical And Biological Research. Ribeirao Preto: Assoc Bras Divulg Cientifica, v. 52, n. 2, 7 p., 2019. 0100-879X 10.1590/1414-431X20188130 S0100-879X2019000200604 WOS:000456508800001 S0100-879X2019000200604.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Brazilian Journal Of Medical And Biological Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
7 application/pdf |
dc.publisher.none.fl_str_mv |
Assoc Bras Divulg Cientifica |
publisher.none.fl_str_mv |
Assoc Bras Divulg Cientifica |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1799964846933934080 |