A population-based birth cohort study of the association between childhood-onset asthma and exposure to industrial air pollutant emissions. (December 2018)

• Record Type: Journal Article
• Authors: Buteau, Stéphane; Doucet, Mariève; Tétreault, Louis-François; Gamache, Philippe; Fournier, Michel; Brand, Allan; Kosatsky, Tom; Smargiassi, Audrey
• Is Part Of: Environment international. Volume 121(2018)Part 1
• Page Start: 23
• Page End: 30
• Publication Date: 2018-12
• Subjects: Air pollution -- Cohort study -- Asthma -- Industry -- Children -- Fine particles -- Sulfur dioxide; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2018.08.040
• Languages: English
• ISSNs: 0160-4120

Abstract

Abstract: Background: Studies of the association between air pollution and asthma onset have mostly focused on urban and traffic-related air pollution. We investigated the associations between exposure to industrial emissions and childhood-onset asthma in a population-based birth cohort in Quebec, Canada, 2002–2011. Methods: The cohort was built from administrative health databases. We developed separately for PM2.5 and SO2 different metrics representing children's time-varying residential exposure to industrial emissions: 1) yearly number of tons of air pollutant emitted by industries located within 2.5 km of the residence; 2) distance to the nearest "major emitter" (≥100 tons) of either PM2.5 and SO2 within 7.5 km of the residence, and; 3) tons of air pollutant emitted by the nearest "major emitter" within 7.5 km, weighted by the inverse of the distance and the percentage of time that the residence was downwind. To handle the large number of zeros (i.e., children unexposed) we decomposed the exposure variable into two covariates simultaneously included in the regression model: a binary indicator of exposure and a continuous exposure variable centered at the mean value among exposed children. We performed Cox models using age as the time axis, adjusted for gender, material and social deprivation and calendar year. We indirectly adjusted for unmeasured secondhand smoke. Results: The cohort included 722, 667 children and 66, 559 incident cases of asthma. Across the different exposure metrics, mean percentage changes in the risk of asthma onset in children exposed to the mean relative to those unexposed ranged from 4.5% (95% CI: 2.8, 6.3%) to 10.6% (95% CI: 6.2, 15.2%) for PM2.5 and, from 1.1% (95% CI: −0.1, 3.3%) to 8.9% (95% CI: 7.1, 11.1%) for SO2 . Indirect adjustment for secondhand smoke did not substantially affect the associations. In children exposed, the risk of asthma onset increased with the magnitude of the exposure for all metrics, except the distance to the nearest major emitter of SO2 . Conclusions: In this population-based birth cohort, residential exposure to industrial air pollutant emissions was associated with childhood-onset asthma. Additional studies with improved models for estimating exposure to industrial point-sources are needed to further support the observed associations. Highlights: We studied asthma onset and residential exposure to industrial emissions. We used a population-based birth cohort in Quebec, Canada, 2002–2011. We built exposure metrics using distance to industries, tons emitted and wind data. We found that children exposed were at greater risk than those unexposed. Among exposed, the risk of asthma onset increased with the magnitude of exposure.