Air Quality Index as a Predictor of Respiratory Morbidity in At-Risk Populations

Brandy M. Byrwa-Hill (), Tricia Morphew, John O’Neill and Deborah Gentile
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Brandy M. Byrwa-Hill: Department of Public Health, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
Tricia Morphew: Johns Hopkins Bloomberg School of Public Health, John Hopkins University, Baltimore, MD 21218, USA
John O’Neill: Department of Emergency Medicine, Allegheny General Hospital, Pittsburgh, PA 15212, USA
Deborah Gentile: Department of Medical Affairs, Community Partners in Asthma Care, Canonsburg, PA 15317, USA

IJERPH, 2025, vol. 22, issue 10, 1-20

Abstract: The Mon Valley near Pittsburgh, Pennsylvania, consistently reports some of the poorest air quality in the United States. Recent studies have linked air pollution in this region to poor asthma outcomes but did not examine the impact on other respiratory conditions or vulnerable populations. This retrospective study examined the relationship between the air quality index (AQI) and respiratory exacerbations of asthma, bronchitis, and chronic obstructive pulmonary disease (COPD) in the Mon Valley between January 2018 and February 2020. We linked daily Air Quality Index (AQI) values for ozone, PM 2.5 , SO 2 and NO 2 , plus temperature and wind speed to healthcare utilization for these conditions. Using a Poisson generalized linear model, we quantified the association between pollutant levels and same-day exacerbation rates, stratified analyses by age, sex, and insurance type to identify vulnerable subgroups. Results indicated that higher AQI scores, driven primarily by PM 2.5 and SO 2 , were significantly associated with increased asthma exacerbations on the day of exposure. Children and individuals with public insurance experienced the greatest impact. Bronchitis exacerbations showed a delayed response to SO 2 . Our findings affirm PM 2.5 and SO 2 as key drivers of acute asthma events in the Mon Valley and extend this observation to include impacts on bronchitis and vulnerable populations. They also demonstrate the AQI’s value for public health surveillance and underscore the importance of tailored interventions such as issuing timely air quality alerts, strengthening emissions regulations, and improving access to preventive care to protect at-risk populations from adverse air pollution effects.

Keywords: air quality index (AQI); asthma; bronchitis; PM 2.5; SO 2 (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2025
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