The Potential Effects of Policy-driven Air Pollution Interventions on Childhood Lung Development.

Abstract

<b>Rationale:</b> Although elevated air pollution exposure impairs lung-function development in childhood, it remains a challenge to use this information to estimate the potential public health benefits of air pollution interventions in exposed populations.<b>Objectives:</b> Apply G-computation to estimate hypothetical effects of several realistic scenarios for future air pollution reductions on lung growth.<b>Methods:</b> Mixed-effects linear regression was used to estimate FEV₁ and FVC from age 11 to 15 years in 2,120 adolescents across 3 cohorts (1993-2001, 1997-2004, and 2007-2011). Models included regional pollutants (nitrogen dioxide [NO₂] or particulate matter with an aerodynamic diameter ≤2.5 μm [PM_2.5]) and other important covariates. Using G-computation, a causal inference-based method, we then estimated changes in mean lung growth in our population for hypothetical interventions on either NO₂ or PM_2.5. Confidence intervals (CIs) were computed by bootstrapping (<i>N</i> = 1,000).<b>Measurements and Main Results:</b> Compared with the effects of exposure from observed NO₂ concentrations during the study period, had communities remained at 1994 to 1997 NO₂ levels, FEV₁ and FVC growth were estimated to have been reduced by 2.7% (95% CI, -3.6 to -1.8) and 4.2% (95% CI, -5.2 to -3.4), respectively. If NO₂ concentrations had been reduced by 30%, we estimated a 4.4% increase in FEV₁ growth (95% CI, 2.8-5.9) and a 7.1% increase in FVC growth (95% CI, 5.7-8.6). Comparable results were observed for PM_2.5 interventions.<b>Conclusions:</b> We estimated that substantial increases in lung function would occur as a result of interventions that reduce NO₂ or PM_2.5 concentrations. These findings provide a quantification of potential health benefits of air quality improvement.