Background and objective
Long‐term respiratory risks following exposure to relatively short periods of poor air quality early in life are unknown. We aimed to evaluate the association between exposure to a 6‐week episode of air pollution from a coal mine fire in children aged <2 years, and their lung function 3 years after the fire.
Methods
We conducted a prospective cohort study. Individual exposure to 24‐h average and peak concentrations of particulate matter with an aerodynamic diameter <2.5 μm in diameter (PM2.5) during the fire were estimated using dispersion and chemical transport modelling. Lung function was measured using the forced oscillation technique (FOT), generating standardized Z‐scores for resistance and reactance at a frequency of 5 Hz (Rrs5 and Xrs5), and area under the reactance curve (AX). We used linear regression models to assess the associations between PM2.5 exposure and lung function, adjusted for potential confounders.
Results
Of the 203 infants originally recruited, 84 aged 4.3 ± 0.5 years completed FOT testing. Median (interquartile range, IQR) for average and peak PM2.5 were 7.9 (6.8–16.8) and 103.4 (60.6–150.7) μg/m3, respectively. The mean ± SD Z‐scores for Rrs5, Xrs5 and AX were 0.56 ± 0.80, –0.76 ± 0.88 and 0.72 ± 0.92, respectively. After adjustment for potential confounders including maternal smoking during pregnancy, a 10 μg/m3 increase in average PM2.5 was significantly associated with worsening AX (β‐coefficient: 0.260; 95% CI: 0.019, 0.502), while the association between a 100‐μg/m3 increase in peak PM2.5 and AX was borderline (0.166; 95% CI: −0.002, 0.334).
Conclusion
Infant exposure to coal mine fire emissions could be associated with long‐term impairment of lung reactance.
Objectives: To describe the retail availability of tobacco and to examine the association between tobacco outlet density and area‐level remoteness and socio‐economic status classification in Tasmania.
Design: Ecological cross‐sectional study; analysis of tobacco retail outlet data collected by the Department of Health and Human Services (Tasmania) according to area‐level (Statistical Areas Level 2) remoteness (defined by the Remoteness Structure of the Australian Statistical Geographical Standard) and socio‐economic status (defined by the 2011 Australian Bureau of Statistics Index of Relative Socioeconomic Advantage and Disadvantage).
Main outcome measure: Tobacco retail outlet density per 1000 residents.
Results: On 31 December 2016, there were 1.54 tobacco retail outlets per 1000 persons. The density of outlets was 79% greater in suburbs or towns in outer regional, remote and very remote Tasmania than in inner regional Tasmania (rate ratio [RR], 1.79; 95% confidence Interval [CI], 1.29–2.50; P < 0.001). Suburbs or towns in Tasmania with the greatest socio‐economic disadvantage had more than twice the number of tobacco outlets per 1000 people as areas of least disadvantage (RR, 2.30; 95% CI, 1.32–4.21; P = 0.014).
Conclusions: A disproportionate concentration of tobacco retail outlets in regional and remote Tasmania and in areas of lowest socio‐economic status is evident. Our findings are consistent with those of analyses in New South Wales and Western Australia. Progressive tobacco retail restrictions have been proposed as the next frontier in tobacco control. However, the intended and unintended consequences of such policies need to be investigated, particularly for socio‐economically deprived and rural areas.
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