Associations between ozone, PM2.5, and four pollen types on emergency department pediatric asthma events during the warm season in New Jersey: A case-crossover study

Gleason, Jessie A.; Bielory, Leonard; Fagliano, Jerald

doi:10.1016/j.envres.2014.03.035

Cited by 147 publications

(104 citation statements)

References 60 publications

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“…Contradictory data are found in the literature, probably due to the fact that PM 2.5 levels are linked to other pollutants through a cocktail effect [11]. In addition, exposure to PM 2.5 was here evaluated at day 0 and in the previous week at five sites; however, such exposure has been found to be a risk factor for asthma-related ED visits up to 5 days before the medical consultation [12,14,17,29]. Numerous other factors may also affect assessment of the PM 2.5 effect on asthma, especially when exposure measurements are aggregated.…”

Section: Discussionmentioning

confidence: 86%

“…It has been shown that average rates of pollutants (PM 10 , ozone, nitrogen dioxide, carbon monoxide, and benzene) vary; similarly, rates of nasal eosinophils, values for the fraction of exhaled nitric oxide, and peak flow charts have been found to vary over a week in asthmatic children [23]. However, few epidemiological studies take into account confounding factors such as meteorological conditions, viral infections, and pollen counts according to place of residence [6,14,27]. For a decade, no French study has evaluated the impact of pollution on asthmatic disease, despite the lowering of the WHOrecommended threshold values.…”

Section: Introductionmentioning

confidence: 99%

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Air pollution and children’s asthma-related emergency hospital visits in southeastern France

et al. 2017

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C h i l d r e n 's a s t h m a i s m u l t i f a c t o r i a l . Environmental factors like air pollution exposure, meteorological conditions, allergens, and viral infections are strongly implicated. However, place of residence has rarely been investigated in connection with these factors. The primary aim of our study was to measure the impact of particulate matter (PM), assessed close to the children's homes, on asthma-related pediatric emergency hospital visits within the Bouches-du-Rhône area in 2013. In a nested case-control study on 3-to 18-year-old children, each control was randomly matched on the emergency room visit day, regardless of hospital. Each asthmatic child was compared to 15 controls. PM 10 and PM 2.5 , meteorological conditions, pollens, and viral data were linked to ZIP code and analyzed by purpose of emergency visit. A total of 68,897 visits were recorded in children, 1182 concerning asthma. Short-term exposure to PM 10 measured near children's homes was associated with excess risk of asthma emergency visits (adjusted odds ratio 1.02 (95% CI 1.01-1.04; p = 0.02)). Male gender, young age, and temperature were other risk factors. Conversely, wind speed was a protective factor. Conclusion: PM 10 and certain meteorological conditions near children's homes increased the risk of emergency asthma-related hospital visits in 3-to 18-year-old children in Bouches-du-Rhône. What is Known:• A relationship between short-term exposure to air pollution and increase in emergency room visits or hospital admissions as a result of increased pollution levels has already been demonstrated. What is New:• This study confirms these results but took into account confounding factors (viral data, pollens, and meteorological conditions) and is based on estimated pollution levels assessed close to the children's homes, rather than those recorded at the hospital.• The study area, the Mediterranean, is favorable to creation of secondary pollutants in these sunny and dry seasons.

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Section: Discussionmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Air pollution and children’s asthma-related emergency hospital visits in southeastern France

et al. 2017

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“…Fourteen studies conceptualized social and psychosocial factors as modifying the influence of the environmental exposure; one study treated aspects of the indoor environment at modifying the effects of maternal interpersonal violence for child asthma risk [15]. With regard to environmental exposures considered, the majority of studies (n = 14) examined outdoor air exposures (primarily traffic-related air pollution, e.g., PM 2.5 , ozone, black carbon, NO 2 , CO) [12][13][14][16][17][18][19][20][21][22][23][24][25][26], one considered the physical deterioration of the home environment (e.g., peeling paint, holes in floor) [15], and one examined tobacco smoke exposure [14]. For the social exposures, seven studies considered socioeconomic status (SES; e.g., household income, housing type, maternal education) [18, 20-23, 25, 26], five focused on psychosocial stressors (e.g., violence, perceived stress) [12,13,[15][16][17], and two [14,24] considered both SES and psychosocial factors as separate modifiers of the environmental exposure for asthma risk.…”

Section: Resultsmentioning

confidence: 99%

“…Other approaches included time series [21], case-crossover [22,23], ecologic and spatial [24,25], and econometric [26] designs and analyses. Several different asthma-related outcomes were examined across studies, including hospitalization and/ or emergency room visits (n = 7) [20][21][22][23][24][25][26], reports of wheeze (n = 2) [12,19], asthma-related biomarkers or measures of lung function (n = 2) [16][17][18], and reports of asthma diagnoses or symptoms (n = 3) [13,14,18,27]. Fourteen studies conceptualized social and psychosocial factors as modifying the influence of the environmental exposure; one study treated aspects of the indoor environment at modifying the effects of maternal interpersonal violence for child asthma risk [15].…”

Section: Resultsmentioning

confidence: 99%

A Systematic Review of the Interplay Between Social Determinants and Environmental Exposures for Early-Life Outcomes

Appleton

Holdsworth

Kubzansky

2016

Curr Envir Health Rpt

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Forty-one studies met the search criteria and were reviewed. Of these, 37, 34, and 29 % of studies focused on asthma, cognition/behavior, and perinatal outcomes, respectively. No study focused on obesity. Across all studies reviewed, 72 % observed significant synergistic associations between social and environmental exposures. Air pollution was the most frequently studied environmental exposure, and socioeconomic status was the most commonly studied social factor. The emerging evidence suggests that social and environmental risks may jointly affect child health. Recommendations for future research are discussed, including enhancing characterization of the social environment and broadening the types of environmental risks assessed.

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“…Additionally, conditional or mixed model logistic regressions, accounting for correlation between case and control records, are commonly used to model the relation between air pollution and meteorological data with adverse health effects (Chan and Ng 2011;Chang et al 2005;Chen et al 2010;Gleason et al 2014;Guo et al 2009;Hansen et al 2012;Kan and Chen 2003;Lee et al 2008;Li et al 2011;Lin et al 2013;Qorbani et al 2012;Tobías et al 2011;Villeneuve et al 2012;Wendt et al 2014;Wong et al 2014;Yang et al 2004). However, the artificial neural networks (ANNs) were also used for modeling in the present study.…”

Section: Introductionmentioning

confidence: 99%

Air pollution and hospital admissions for cardiorespiratory diseases in Iran: artificial neural network versus conditional logistic regression

Shakerkhatibi

Dianat

Jafarabadi

et al. 2015

Int. J. Environ. Sci. Technol.

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This study was conducted to evaluate the relationship between air pollutants (including nitrogen oxides [NO, NO 2 ]) and hospital admissions for cardiovascular and respiratory diseases. The study had a case-crossover design which was conducted in Tabriz, Iran. Daily hospital admissions and air quality data from March 2009 to March 2011 were analyzed using the artificial neural networks (ANNs) and conditional logistic regression modeling. The results showed significant associations between gaseous air pollutants including NO 2 , O 3 , and NO and hospital admissions for cardiovascular disease. Gaseous air pollutants of NO 2 , NO, and CO were associated with hospital admissions for chronic obstructive pulmonary disease, while PM 10 was associated with hospitalizations due to respiratory infections. PM 10 and O 3 were also associated with asthmatic hospital admissions. There was no significant association between SO 2 and studied health outcomes. Comparing the results of logistic regressions and ANNs confirmed the optimality of the ANNs for detection of the best predictors of hospital admissions caused by air pollution. Further research is required to investigate the effects of seasonal variations on air pollution-related health outcomes.

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Associations between ozone, PM2.5, and four pollen types on emergency department pediatric asthma events during the warm season in New Jersey: A case-crossover study

Cited by 147 publications

References 60 publications

Air pollution and children’s asthma-related emergency hospital visits in southeastern France

Air pollution and children’s asthma-related emergency hospital visits in southeastern France

A Systematic Review of the Interplay Between Social Determinants and Environmental Exposures for Early-Life Outcomes

Air pollution and hospital admissions for cardiorespiratory diseases in Iran: artificial neural network versus conditional logistic regression

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