Ambient PM_2.5 and PM₁₀ Exposure and Respiratory Disease Hospitalization in Kandy, Sri Lanka

• Main Authors: Sajith Priyankara, Mahesh Senarathna, Rohan Jayaratne, Lidia Morawska, Sachith Abeysundara, Rohan Weerasooriya, Luke D. Knibbs, Shyamali C. Dharmage, Duminda Yasaratne, Gayan Bowatte
• Format: Article
• Language: English
• Published: MDPI AG 2021-09-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: ambient particulate matter; asthma; COPD; respiratory disease hospitalization; generalized additive model
• Online Access: https://www.mdpi.com/1660-4601/18/18/9617
• ISSN: 1661-7827; 1660-4601

Evidence of associations between exposure to ambient air pollution and health outcomes are sparse in the South Asian region due to limited air pollution exposure and quality health data. This study investigated the potential impacts of ambient particulate matter (PM) on respiratory disease hospitalization in Kandy, Sri Lanka for the year 2019. The Generalized Additive Model (GAM) was applied to estimate the short-term effect of ambient PM on respiratory disease hospitalization. As the second analysis, respiratory disease hospitalizations during two distinct air pollution periods were analyzed. Each 10 μg/m³ increase in same-day exposure to PM_2.5 and PM₁₀ was associated with an increased risk of respiratory disease hospitalization by 1.95% (0.25, 3.67) and 1.63% (0.16, 3.12), respectively. The effect of PM_2.5 or PM₁₀ on asthma hospitalizations were 4.67% (1.23, 8.23) and 4.04% (1.06, 7.11), respectively (<i>p</i> < 0.05). The 65+ years age group had a higher risk associated with PM_2.5 and PM₁₀ exposure and hospital admissions for all respiratory diseases on the same day (2.74% and 2.28%, respectively). Compared to the lower ambient air pollution period, higher increased hospital admissions were observed among those aged above 65 years, males, and COPD and pneumonia hospital admissions during the high ambient air pollution period. Active efforts are crucial to improve ambient air quality in this region to reduce the health effects.