Fine particulate matter estimated by mathematical model and hospitalizations for pneumonia and asthma in children

César, Ana Cristina Gobbo; Nascimento, Luiz Fernando Costa; Mantovani, Katia Cristina Cota; Vieira, Luciana Cristina Pompeo Ferreira da Silva

doi:10.1016/j.rppede.2015.12.005

Cited by 24 publications

(23 citation statements)

References 26 publications

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“…Likewise, a study in Taubaté, SP, which has a population similar to that of Volta Redonda, also found an association between exposure to PM 2.5 , at concentrations similar to those of Volta Redonda, and hospitalizations due to pneumonia and asthma among children. 13 Chronic and sub-chronic exposure to fine particulate matter, among other pollutants, was shown to be a risk factor for hospitalization due to acute bronchiolitis among children in California. 19 Using logistic regression, those authors showed that there was an association between exposure to PM 2.5 and the outcome of hospitalization due to acute bronchiolitis; and that an increase in PM 2.5 concentration of 10 µg/m 3 increased the odds of hospitalization by 9% (95% CI: 1.04-1.14).…”

Section: Discussionmentioning

confidence: 99%

“…The pollutant levels were obtained by means of mathematical modeling and good correlation between these data and real data has been identified, 10 but there may have been some degree of uncertainty concerning the estimation of these data. Nonetheless, it needs to be remembered that use of these data has been recorded in several recent articles 5,[12][13][14] and was very adequate, with few gaps in quantifying the values.…”

Section: Discussionmentioning

confidence: 99%

“…5,[12][13][14] The importance of studying how exposure to this pollutant can act on human health comes from the fact that, because of its aerodynamic diameter (less than 2.5 microns), it can remain suspended in the air for a longer time and thus be transported over longer distances and also reach deeper portions of the respiratory system.…”

Section: Introductionmentioning

confidence: 99%

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Air pollution and respiratory diseases: ecological time series

et al. 2016

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CONTEXT AND OBJECTIVE: Exposure to air pollutants is one of the factors responsible for hospitalizations due to respiratory diseases. The objective here was to estimate the effect of exposure to particulate matter (such as PM 2.5 ) on hospitalizations due to certain respiratory diseases among residents in Volta Redonda (RJ). DESIGN AND SETTING: Ecological time series study using data from Volta Redonda (RJ). METHODS: Data on hospital admissions among residents of Volta Redonda (RJ), between January 1, 2012, and December 31, 2012, due to pneumonia, acute bronchitis, bronchiolitis and asthma, were analyzed. Daily data on PM 2.5 concentrations were estimated through the CCATT-BRAMS model. The generalized additive Poisson regression model was used, taking the daily number of hospitalizations to be the dependent variable and the PM 2.5 concentration to be the independent variable, with adjustment for temperature, relative humidity, seasonality and day of the week, and using lags of zero to seven days. Excess hospitalization and its cost were calculated in accordance with increases in PM 2.5 concentration of 5 µg/m 3 . RESULTS: There were 752 hospitalizations in 2012; the average concentration of PM 2.5 was 17.2 µg/m 3 ; the effects of exposure were significant at lag 2 (RR = 1.017), lag 5 (RR = 1.022) and lag 7 (RR = 1,020). A decrease in PM 2.5 concentration of 5 µg/m 3 could reduce admissions by up to 76 cases, with a decrease in spending of R$ 84,000 a year. CONCLUSION: The findings from this study provide support for implementing public health policies in this municipality, which is an important steelmaking center. RESUMOCONTEXTO E OBJETIVO: A exposição aos poluentes do ar é um dos fatores responsáveis por internações por doenças respiratórias; o objetivo foi estimar o efeito da exposição a material particulado (como PM 2,5 ) sobre as hospitalizações devido a certas doenças respiratórias em moradores de Volta Redonda (RJ). TIPO DE ESTUDO E LOCAL: Estudo ecológico de séries temporais utilizando dados de Volta Redonda (RJ).MÉTODOS: Foram analisados dados de internação hospitalar, entre 1 de janeiro de 2012 e 31 de dezembro de 2012, devida a pneumonia, bronquite aguda, bronquiolite e asma, em residentes em Volta Redonda (RJ), e dados diários das concentrações de PM 2,5 obtidos a partir do modelo CCATT-BRAMS. Utilizou-se o modelo aditivo generalizado de regressão de Poisson, sendo o número diário de internações a variável dependente e a concentração PM 2,5 a variável independente, ajustado para temperatura, umidade relativa, sazonalidade e dia da semana e defasagens entre zero e sete dias. Excesso de internação hospitalar e seu custo, de acordo com o aumento de 5 ug/m 3 na concentração de PM 2,5 , foram calculados. RESULTADOS: Ocorreram 752 internações em 2012; a concentração média de PM 2,5 foi de 17,2 ug/m 3 ; os efeitos da exposição foram significativos em lag 2 (RR = 1,017), lag 5 (RR = 1,022) e lag 7 (RR = 1,020). A redução em 5 ug/m 3 na concentração de PM 2,5 poderia reduzir até 76 casos as internações...

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Air pollution and respiratory diseases: ecological time series

et al. 2016

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“…César et al 22 estimaram a associação entre exposição ao material particulado fino com as internações por pneumonia e asma em crianças com até 10 anos, em Taubaté e usaram o modelo aditivo generalizado de regressão de Poisson para estimar o risco relativo, com defasagem de zero até cinco dias após a exposição; o modelo unipoluente foi ajustado pela temperatura aparente, medida definida a partir da temperatura e umidade relativa do ar, sazonalidade e dia da semana. Os valores dos riscos relativos para internações por pneumonia e asma foram significativos para lag 0 (RR=1,051; IC95% 1,016-1,088); lag 2 (RR=1,066; IC95% 1,023-1,113); lag 3 (RR=1,053; IC95% 1,015-1,092); lag 4 (RR=1,043; IC95% 1,004-1,088) e no lag 5 (RR=1,061; IC95% 1,018-1,106).…”

Section: Tabela 5 -Média Móvel E Riscos Relativos Para O Ozônio Na Inunclassified

Condições Climáticas E O Risco De Exacerbação Da Asma

Souza

Santos

Kofanovski³

et al. 2017

Saúde (Sta. Maria)

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RESUMOObjetivo: Foi investigada a associação entre diferenças horárias da poluição do ar e exacerbação da asma em Campo Grande, usando dados relacionados com internações por asma e verificada a sazonalidade e status socioeconômico com uma resolução temporal horária. Metodologia: Foi aplicado caso de cruzamento estratificada ajustado para o tempo; o atraso foi estratificado com 1 e 6, 7 e 12, We investigated the association between time differences of air pollution and exacerbation of asthma in Campo Grande, MS, using data related hospitalizations for asthma and verified seasonality and socioeconomic status with an hourly temporal resolution. Methodology: Stratified cross case was applied to set the time. It was laminated with the delay 1 and 6, 7, 12, 13, 18, 19 and 24, 25 and 48, and 49 and 72 h. Odds ratio (95% confidence interval), the interquartile range was increased after 19 and 24 h to O 3 . Results: The effect was lag 25 and 48 h in winter for ozone (O 3 ). The effects for O 3 were to the age of low socioeconomic status modified lag 7e12 h (1,252 (1:04 and 1:51)). The O 3 increased the risk of asthma exacerbations. Higher levels of O 3 were associated with increased risk of exposure of asthma exacerbations. Conclusions: The adverse effects of O 3 of the season were modified by age.The results indicate that health policy in the municipality should focus on vulnerable populations, such as people with asthma.

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“…It has been shown that the AOT has a moderate to high correlation with the PM 10 and PM 2.5 atmospheric particle levels. 5,6 . Traditionally, concentrations of atmospheric particles are measured at individual points and the values obtained are assumed to represent surrounding areas up to many hundreds of square-kilometers.…”

Section: Introductionmentioning

confidence: 99%

Association between climate variables, pollutants, aerosols and hospitalizations due to asthma

Souza¹,

Santos²,

Ikefuti³

2017

Mundo da Saúde

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Many studies have shown that climatic and pollutant variables are directly related to the increase of hospitalizations due to respiratory diseases, mainly asthma. The aim of this study was to estimate the association between exposure to climate variables, pollutants, aerosols and hospitalizations due to asthma. This ecological study used time series with daily asthma hospitalization indicators, and concentrations of pollutants, climate data and aerosols, between January 2013 and December 2013. A generalized additive model using Poisson regression was used to estimate the relative risk with a two-day lag after exposure; the unipollutant model was adjusted by the apparent temperature, a measure defined from the temperature and relative humidity of the air, and a variable was added to control the seasonality and the day of the week. As a result, the values of relative risks (RR) for hospitalizations due to asthma were: for minimum temperature RR= 0.8985; maximum humidity RR= 0.9819; wind speed RR= 0.9419; rain RR= 0.9834; ozone RR= 0.9735; aerosols (AOT) RR= 1.0078; clearness index (Kt) RR= 0.0492 and carbon monoxide RR= 1.0865 for a two-day lag. After considering the aforementioned factors, we found the values of B coefficients. Exposure to climatic variables, pollutants, aerosols and clearness index was associated with hospitalizations due to asthma, and provided subsidies for the implementation of preventive measures to decrease these outcomes.Keywords: Hospitalization. Asthma. Environmental pollutants. Atmosphere. ResumoMuitos estudos vêm demonstrando que variáveis climáticas e poluentes tem uma relação direta no aumento de internações por doenças respiratórias, principalmente por asma. O objetivo deste estudo foi estimar a associação entre exposição às variáveis climáticas, poluentes, aerossóis nas internações por asma. O presente estudo ecológico utilizou séries temporais com indicadores diários de internação por asma, e concentrações de poluentes, dados de clima e aerossóis, entre janeiro de 2013 e dezembro de 2013. Um modelo aditivo generalizado utilizando regressão de Poisson foi usado para estimar o risco relativo, com defasagem de dois dias após a exposição; o modelo unipoluente foi ajustado pela temperatura aparente, medida definida a partir da temperatura e umidade relativa do ar, foi adicionada uma variável para controlar a sazonalidade e o dia da semana. Como resultados, os valores dos riscos relativos para internações por asma foram para Temperatura mínima: RR=0,8985; umidade máxima RR=0,9819; velocidade dos ventos RR=0,9419; precipitação RR= 0,9834; ozônio RR=0,9735; aerossóis (AOT; RR=1,0078; índice de claridade (Kt) RR=0,0492 e monóxido de carbono RR=1,0865 para defasagem temporal de dois dias. Após considerar os fatores mencionados, encontramos os valores dos coeficientes B's. A exposição às variáveis climáticas, poluentes, aerossóis e índice de claridade esteve associada às internações por asma, e forneceu subsídios para implantação de medidas preventivas para diminuírem esses desfechos.

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Fine particulate matter estimated by mathematical model and hospitalizations for pneumonia and asthma in children

Cited by 24 publications

References 26 publications

Air pollution and respiratory diseases: ecological time series

Air pollution and respiratory diseases: ecological time series

Condições Climáticas E O Risco De Exacerbação Da Asma

Association between climate variables, pollutants, aerosols and hospitalizations due to asthma

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