Association of ambient pollutants (particulate matter <2.5 μg in aerodynamic diameter [PM2.5], proportion black carbon [BC], and NO2) with odds of reporting uncontrolled asthma, adverse asthma-related quality of life, health care utilization, and missed school days. Multiple-pollutant random effects logistic regression models adjusted for age, sex, socioeconomic status score (SES), body mass index (BMI), baseline forced expiratory volume in 1 second (FEV1) z-score, site, and temperature (°C). In the y-axis, we plot odds ratios and corresponding 95% confidence intervals (CI) for uncontrolled asthma, adverse asthma-related quality of life, health care utilization, and missed school days to reflect an interquartile range increase in each pollutant.