Exposure to NO2 and children hospitalization due to respiratory diseases in Ribeirão Preto, SP, Brazil

Carvalho, Priscila Camargo; Nakazato, Lígia Furitani; Nascimento, Luiz Fernando Costa

doi:10.1590/1413-81232018238.16312016

Cited by 13 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Cubatão, São Paulo State, Brazil, generalized additive Poisson regression models were used to model daily concentrations of PM 10 , SO 2 , and O 3 and daily hospital admissions counts, showing the adverse effects of these pollutants on respiratory diseases for all ages [35]. Similar to our findings of the effects of NO 2 in children, a study conducted in Ribeirão Preto was able to demonstrate that an increase of 10 ug/m 3 in NO 2 is associated with a RR of between 1.05 and 1.09 for having respiratory hospitalizations in children between 0 to 9 years [36].…”

Section: Discussionsupporting

confidence: 83%

“…Furthermore, this analysis assumes a single pollutant approach in which the interaction and combined effect of pollutants are not taken into account. Second, the quality of health data compiled by DATASUS might include misclassification bias that are inherent to the health administrations process but if present are non-differential across cities and months [36]. Third, of this study the number of data by city that did not allow us to stratify the effects by city so as to explore differences between them.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

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

Agudelo-Castañeda

Teixeira

Alves

et al. 2019

IJERPH

View full text Add to dashboard Cite

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 PM10, SO2, CO, NO2, and O3 (µg/m3) 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/m3 in the monthly average concentration of PM10 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 NO2 and SO2, stronger intermediate-term effects were found in children aged between 6 and 15 years, while for O3 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.

show abstract

Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 99%

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

Agudelo-Castañeda

Teixeira

Alves

et al. 2019

IJERPH

View full text Add to dashboard Cite

show abstract

“…They found that NO 2 was a significant risk factor on lag 2 and lag 3 in a single-pollutant model. They also found a positive association on lags 2 to 5 and lag 7 with a relative risk of 1.05 to 1.09 per 10-μg/m 3 increase in the NO 2 concentration [20]. A meta-analysis of 10 European birth cohorts within the ESCAPE project detected consistent evidence that the combined adjusted ORs for pneumonia were significantly higher for NO 2 (OR = 1.30 and 95% CI = 1.02-1.65 per 10-μg/m 3 increase in NO 2 ) in early childhood [21].…”

Section: Discussionmentioning

confidence: 90%

Impact of air pollutants on pediatric admissions for Mycoplasma pneumonia: a cross-sectional study in Shanghai, China

et al. 2020

View full text Add to dashboard Cite

Background: Children are especially vulnerable to pneumonia and the effects of air pollution. However, little is known about the impacts of air pollutants on pediatric admissions for Mycoplasma pneumonia. This study was conducted to investigate the impacts of air pollutants on pediatric hospital admissions for Mycoplasma pneumonia in Shanghai, China. Methods: A cross-sectional design was applied to explore the association between pediatric hospital admissions and levels of air pollutants (fine particulate matter, particulate matter, ozone, sulfur dioxide, nitrogen dioxide, and carbon monoxide). Data on hospital admissions for pneumonia and levels of ambient air pollutants were obtained for the period of 2015 to 2018. Associations between pediatric admissions for Mycoplasma pneumonia and ambient air pollutants were calculated using logistic regression and described by the odds ratio and relevant 95% confidence interval. The hysteresis effects of air pollutants from the day of hospital admission to the previous 7 days were evaluated in single-pollutant models and multi-pollutant models with adjustments for weather variables and seasonality. Lag 0 was defined as the day of hospital admission, lag 1 was defined as the day before hospital admission, and so forth. Results: In the single-pollutant models (without adjustment for other pollutants), pediatric hospital admissions for pneumonia were positively associated with elevated concentrations of nitrogen dioxide and fine particulate matter. A 0.5% increase in daily admissions per 10-μg/m 3 increase in the nitrogen dioxide level occurred at lag 1 and lag 2, and a 0.3% increase in daily admissions per 10-μg/m 3 increase in fine particulate matter occurred at lag 1. In the multi-pollutant models, nitrogen dioxide and fine particulate matter remained significant after inclusion of particulate matter, ozone, sulfur dioxide, and carbon monoxide.

show abstract

“…In 2018, Carvalho et al examined more than 150 pediatric hospital admissions for respiratory diseases including pneumonia, bronchitisbronchiolitis, asthma, and laryngitis-tracheitis. They found that NO 2 was a significant risk factor on lag 2 and lag 3 in a single-pollutant model; they also found a positive association on lags 2 to 5 and lag 7 with a relative risk of 1.05 to 1.09 per 10-µg/m 3 increase in the NO 2 concentration [20]. A metaanalysis of 10 European birth cohorts within the ESCAPE project detected consistent evidence that the combined adjusted ORs for pneumonia were significantly higher for NO 2 (OR = 1.30 and 95% CI = 1.02-1.65 per 10-µg/m 3 increase in NO 2 ) in early childhood [21].…”

Section: Discussionmentioning

confidence: 96%

Impact of air pollutants on pediatric admissions for Mycoplasma pneumonia: A cross-sectional study in Shanghai, China

Chen

Shi

Huang

et al. 2020

Preprint

View full text Add to dashboard Cite

Background Children are especially vulnerable to pneumonia and the effects of air pollution. However, little is known about the impacts of air pollutants on pediatric admissions for Mycoplasma pneumonia.This study was conducted to investigate the impacts of air pollutants on pediatric hospital admissions for Mycoplasma pneumonia in Shanghai, China.Methods A cross-sectional design was applied to explore the association between pediatric hospital admissions and levels of air pollutants (fine particulate matter, particulate matter, ozone, sulfur dioxide, nitrogen dioxide, and carbon monoxide). Data on hospital admissions for pneumonia and levels of ambient air pollutants were obtained for the period of 2015 to 2018. Associations between pediatric admissions for Mycoplasma pneumonia and ambient air pollutants were calculated using logistic regression and described by the odds ratio and relevant 95% confidence interval. The hysteresis effects of air pollutants from the day of hospital admission to the previous 7 days were evaluated in single-pollutant models and multi-pollutant models with adjustments for weather variables and seasonality. Lag 0 was defined as the day of hospital admission, lag 1 was defined as the day before hospital admission, and so forth. ResultsIn the single-pollutant models (without adjustment for other pollutants), pediatric hospital admissions for pneumonia were positively associated with elevated concentrations of nitrogen dioxide and fine particulate matter. A 0.5% increase in daily admissions per 10-μg/m3 increase in the nitrogen dioxide level occurred at lag 1 and lag 2, and a 0.3% increase in daily admissions per 10-μg/m3 increase in fine particulate matter occurred at lag 1. In the multi-pollutant models, nitrogen dioxide and fine particulate matter remained significant after inclusion of particulate matter, ozone, sulfur dioxide, and carbon monoxide.Conclusions This study illustrated that higher levels of nitrogen dioxide and fine particulate matter increase the risk of hospitalization for Mycoplasma pneumonia in Shanghai, China. These findings imply that the high incidence of Mycoplasma pneumonia in children in Asia might be attributed to the high concentration of specific air pollutants in Asia. Background 4Pneumonia is the single largest infectious cause of death in children worldwide, accounting for 16% of all deaths of children aged < 5 years and accounting for the deaths of 920,136 children in 2015 [1].Mycoplasma pneumoniae is a leading causative pathogen of respiratory infections in children, accounting for as many as 30% of cases of pediatric community-acquired pneumonia [2,3,4,5]. In 2012, Miyashita et al. demonstrated that M. pneumoniae was the most prevalent pathogen in children (23%) and adolescents (29%) with community-acquired pneumonia, followed by Haemophilus influenzae (children, 15%; adolescents, 10%) and Streptococcus pneumoniae (children, 8%; adolescents, 14%)[6]. In 2018, Liu et al. reported that M. pneumoniae was detected at the highest frequency in pediatric patie...

show abstract

Exposure to NO2 and children hospitalization due to respiratory diseases in Ribeirão Preto, SP, Brazil

Cited by 13 publications

References 5 publications

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

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

Impact of air pollutants on pediatric admissions for Mycoplasma pneumonia: a cross-sectional study in Shanghai, China

Impact of air pollutants on pediatric admissions for Mycoplasma pneumonia: A cross-sectional study in Shanghai, China

Contact Info

Product

Resources

About