EVALUATING THE HEALTH BURDEN OF AIR POLLUTION EXPOSURE IN URBAN POPULATIONS: AN EPIDEMIOLOGICAL PERSPECTIVE

Abstract

Urban air pollution has emerged as a critical global health concern, disproportionately affecting densely populated metropolitan areas and contributing to escalating rates of chronic disease. This epidemiological study evaluated the health burden of air pollution exposure by integrating quantitative environmental measurements with clinical indicators and qualitative community health experiences. Using mixed-methods analysis, pollutant concentrations—including PM₂.₅, PM₁₀, NO₂, SO₂, CO, and O₃—were monitored across multiple urban exposure zones, and individual exposure indices were calculated using weighted toxicity models. Health outcomes were assessed through spirometry, cardiovascular measurements, inflammatory biomarkers, and structured symptom questionnaires, while qualitative interviews captured perceived health impacts and daily-life disruptions. Findings revealed strong associations between elevated pollutant levels and reductions in lung function, increased respiratory complaints, heightened cardiovascular stress, and elevated systemic inflammation. The integrated exposure–health risk index demonstrated that populations in high-exposure zones faced substantially increased health risks compared with those in low-exposure areas. Qualitative insights further reinforced quantitative findings, illustrating the lived experience of pollution through reports of breathing difficulty, sleep disturbances, psychological stress, and restricted outdoor activity. Overall, the study underscores the significant health burden posed by urban air pollution and highlights the need for urgent policy interventions, including stricter emission controls, improved urban planning, and targeted health strategies for vulnerable populations. These findings contribute to the growing body of evidence advocating for environmental health equity and the implementation of sustainable clean-air initiatives in rapidly urbanizing regions.