Table 2.
Findings from recent publications examining the effects of air pollution on asthma outcomes
Reference | Study Design | Age (years) | Exposure Assessment | N | Pollutants | Outcomes | Notes |
---|---|---|---|---|---|---|---|
Farber et al, 2016 (8*) | Cross sectional | <18 | Survey | 22,470 | Secondhand smoke | Significant association between SHS and ED visits in children whose mothers smoke | |
Tetreault et al, 2016 (9) | Retrospective cohort | <13 | Daily average levels linked to postal code of residence | 162,752 | NO2, PM2.5, O3 | Positive association between time-dependent exposure to pollutants and asthma exacerbation frequency | Stronger association with long term exposure than exposure at birth. |
Schvartsman et al, 2017 (10) | Ecological time-series | <19 | Daily average city-wide levels of pollutants | 20,958 visits | O3, CO, NO2, SO2, PM10 | Increase in PM10 and SO2 daily levels positively correlated with number of ED visits for asthma; 7-day cumulative effect of PM10 and SO2 on ED visits was much higher | Cumulative exposure had much larger effect on asthma-related ED visits than did same day exposure |
Orellano et al, 2017 (11) | Systematic review | 0–80 | Multiple | 267,415 | NO2, SO2, PM10, PM2.5, CO, O3 | Subgroup analysis showed significant association between NO2, SO2, and PM2.5 and pediatric asthma exacerbations | |
Ding et al, 2017 (12) | Case crossover | 0–18 | Daily average city-wide levels of pollutants | 2,507 visits | PM10, PM2.5, SO2, NO2, CO, O3 | Increase of 10 μg/m3 in PM10, PM2.5, SO2, NO2, CO were positively associated with asthma-related hospital visits | No association between asthma-related hospital visits and O3 |
Goodman et al, 2017 (13) | Time-series analysis | 5 to >65 | Area-specific daily average 8h maximum O3 concentration | 74,824 hospital admiss-ions | O3 | Positive correlation between pediatric asthma-related hospitalization and short-term O3 exposure | Association was strongest in August and September, correlating with start of school year |