Concentration-response of short-term ozone exposure and hospital admissions for asthma in Texas

Zu, Ke; Liu, Xiaobin; Shi, Liuhua; Tao, Ge; Loftus, Christine T.; Lange, Sabine; Goodman, Julie E.

doi:10.1016/j.envint.2017.04.006

Cited by 47 publications

(14 citation statements)

References 24 publications

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“…In children, research has focused so far in the direct relationship between different air pollutants and asthma symptoms, acute wheezing episodes, and hospitalizations . There is also strong evidence that both indoor pollution as well as outdoor pollution increase the risk of several respiratory diseases in children.…”

Section: Introductionmentioning

confidence: 99%

Association between air pollution and sleep disordered breathing in children

Sánchez

Gozal

Smith

et al. 2019

Pediatric Pulmonology

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Background and Objective Similar to other respiratory diseases, sleep disordered breathing (SDB) may be exacerbated by air contaminants. Air pollution may have an impact on incidence and severity of SDB in children. The aims of this study were to examine potential associations between the exposure to different air pollutants and SDB symptoms in children. Methods In this cross‐sectional study, parents from first grade children of elementary schools throughout Chile were included. Data about clinical and family‐related SDB risk factors, and the pediatric sleep questionnaire (PSQ) were obtained. Air pollution and meteorological data were obtained from the Chilean online air quality database. Results A total of 564 children (44.9% males) aged (median) 6 years (5‐9 year) were included. Prevalence of SDB based on PSQ was 17.7%. When examining air pollutants and conditions, only higher humidity (β = 0.005, 95%CI 0.001‐0.009, P = 0.011) was significantly associated with higher PSQ scores after adjusting for demographic and household variables. Higher ozone (O3) levels (OR = 1.693, 95%CI 1.409‐2.035, P < 0.001), higher humidity (OR = 1.161, 95%CI 1.041‐2.035, P = 0.008) and higher dioxide sulfur (SO2) levels (OR = 1.16, 95%CI 1.07‐1.94, P < 0.001]) were associated with increased odds of wheezing‐related sleep disturbances after adjusting for confounders. Lower temperature was a significant predictor of snoring at least >3 nights/week, following adjustment (OR = 0.865, 95%CI 0.751‐0.997, P < 0.05). Conclusion Sleep respiratory symptoms (wheezing and snoring) are significantly associated with air pollutants such as O3 and SO2. In addition, meteorological conditions such as humidity and low temperatures may be also associated with SDB‐related symptoms.

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Section: Introductionmentioning

confidence: 99%

Association between air pollution and sleep disordered breathing in children

Sánchez

Gozal

Smith

et al. 2019

Pediatric Pulmonology

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“…Another Chinese study found a non log-linear increase in the occurrence of respiratory diseases for daily PM 2.5 levels above 50 μg/m 3 [12]. Evidences of violation of the loglinearity assumption were found also in Li et al [13] for the relationship between PM 2.5 and mortality and in Zu et al [14] for the relationship between ozone and hospitalizations from asthma. Finally, in the recent study conducted by Liu and colleagues on 652 cities around the world, the estimated pooled exposure-response functions between daily average levels of PM 10 and PM 2.5 and all-cause mortality showed no thresholds and seemed to flatten at high air pollutants concentrations [15].…”

Section: Introductionmentioning

confidence: 84%

“…Up to now, the studies that explored the violation of the log-linearity assumption in the context of the short-term effects of air pollution usually described the exposureresponse function by including flexible terms in the Poisson or quasi-Poisson regression model specified on the daily number of health events, for example a regression spline or a penalized spline defined on the daily air pollutant concentrations [7,12,14,15,19,20]. Alternative approaches to regression have never been adopted.…”

Section: Introductionmentioning

confidence: 99%

Assessing short-term impact of PM10 on mortality using a semiparametric generalized propensity score approach

2020

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Background: The shape of the exposure-response curve describing the effects of air pollution on population health has crucial regulatory implications, and it is important in assessing causal impacts of hypothetical policies of air pollution reduction. Methods: After having reformulated the problem of assessing the short-term impact of air pollution on health within the potential outcome approach to causal inference, we developed a method based on the generalized propensity score (GPS) to estimate the average dose-response function (aDRF) and quantify attributable deaths under different counterfactual scenarios of air pollution reduction. We applied the proposed approach to assess the impact of airborne particles with a diameter less than or equal to 10 μm (PM 10) on deaths from natural, cardiovascular and respiratory causes in the city of Milan, Italy (2003-2006). Results: As opposed to what is commonly assumed, the estimated aDRFs were not linear, being steeper for low-moderate values of exposure. In the case of natural mortality, the curve became flatter for higher levels; this behavior was less pronounced for cause-specific mortality. The effect was larger in days characterized by higher temperature. According to the curves, we estimated that a hypothetical intervention able to set the daily exposure levels exceeding 40 μg/m 3 to exactly 40 would have avoided 1157 deaths (90%CI: 689, 1645) in the whole study period, 312 of which for respiratory causes and 771 for cardiovascular causes. These impacts were higher than those obtained previously from regression-based methods. Conclusion: This novel method based on the GPS allowed estimating the average dose-response function and calculating attributable deaths, without requiring strong assumptions about the shape of the relationship. Its potential as a tool for investigating effect modification by temperature and its use in other environmental epidemiology contexts deserve further investigation.

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“…In our study, we did not nd out the signi cant association between these six common air pollutants and asthma hospitalization. However, the pattern that O 3 affected the prevalence of asthma was other than that of SO 2 , NO 2 , CO, PM 2.5 , and PM 10 , which may increase the risk for asthma [25]. The numerous inconsistencies in epidemiological data may be indirect evidence of no association between air pollutants and the prevalence of childhood asthma [26].…”

Section: Discussionmentioning

confidence: 99%

The preliminary investigation of potential response biomarkers to air pollution (PAHs) exposure on childhood asthma

Bao

Jin

et al. 2020

Preprint

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BackgroundIn recent five years, air quality in China has been gradually improved; however, the prevalence of asthma in China has still increased significantly. This study aims to examine whether air pollution exposure is a significant contributor to childhood asthma and to explore the mechanisms using exposure and response biomarkers. MethodsThe generalized additive model was applied to evaluate the effects of air pollutants on asthma hospitalization. Urinary 1-hydroxypyrene (1-OHPyr) was determined as PAHs exposure biomarker.Metabolic profiles and microbial diversity were screened and selected as response biomarkers. ResultsDaily average concentrations of the six common air pollutants were not significantly associated with daily childhood asthma hospitalization. Urinary 1-OHPyr level showed large variability among asthmatic children and were positively correlated with the abundance of Prevotella (genus level) and purine metabolism. ConclusionsThe biomarker of PAHs exposure is associated with metabolic and microbiological biomarkers of childhood asthma. As the potential health risk, we suggest that PAHs should be included in the national monitoring system aiming to reduce the exposure.in the role of air pollution in the prevalence of asthma [7]. Until now, there has been no update evidence regarding the association between air pollution exposure and childhood asthma in recent five years in China.In addition, polycyclic aromatic hydrocarbons (PAHs) as the most abundant component of atmospheric particulate matters has been found related to the onsets of asthma or exacerbation of asthma symptoms [8][9][10][11][12]. Recent evidence suggests that PAHs exposure altered the abundance of commensal bacteria that were associated with health outcomes. Atmospherica PAHs exposure could influence the composition and abundance of skin microbiota and induce endocrine signaling pathway disrupted [13]. It has been demonstrated that the development of asthma is highly associated with the microbiogical circumstance [14]. Atmospherica PAHs exposure may also induce the aberrant metabolic profiling focused on oxidative stress that leads to airway inflammation [15]. Importantly, studies in childhood asthma linking environmental PAH exposure, human commensal microbiota and metabolic pathways are largely unknown. To better understand how PAHs exerts its effects on childhood asthma, omics analysis based on microbiome and metabolome were performed. Therefore in the present study, we firstly used the public data to analyze the asscociation between the six common air pollutants (SO 2 , NO 2 , CO, O 3 , PM 2.5 , and PM 10 ) and childhood asthma hospitalization in Nanjing for 2015-2018. We aimed to clarify the effects of these air pollutants on asthma under current environment. Then by measuring urinary 1-OHPyr as internal exposure biomarker to PAHs, we expected to find response biomarkers based on the changes of the global metabolic signatures and throat microbial diversity in asthmatic children and explored the underlying mechanisms associate...

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Concentration-response of short-term ozone exposure and hospital admissions for asthma in Texas

Cited by 47 publications

References 24 publications

Association between air pollution and sleep disordered breathing in children

Association between air pollution and sleep disordered breathing in children

Assessing short-term impact of PM10 on mortality using a semiparametric generalized propensity score approach

The preliminary investigation of potential response biomarkers to air pollution (PAHs) exposure on childhood asthma

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