Abstract
OBJECTIVE: Air pollution, particularly particulate matter (PM), is a leading environmental risk factor contributing to global morbidity and premature mortality. The World Health Organization's (WHO) AirQ+© software is a vital tool for assessing the health impacts of air pollution. Our study used this software to estimate premature deaths attributable to long-term particulate matter (PM(2.5)) exposure in Türkiye in 2019 and explored its relationship with each province's socio-economic status. MATERIAL AND METHODS: We conducted an ecological study using annual average PM(2.5) levels from air quality stations. Due to limited PM(2.5) measurements (only 16% of stations), we derived PM(2.5) values from PM(10) data using WHO's conversion coefficient for Türkiye. RESULTS: We identified the provinces with the highest PM(2.5) concentrations and associated mortality: Iğdır, Şırnak, Çorum, Düzce, and Kahramanmaraş had the highest concentrations, while Erzurum, Çorum, Iğdır, Sinop, and Kütahya had the highest mortality rates per 100,000 population. No significant correlation was found between premature deaths and the socio-economic development index of each province. Our study estimated 37,768 premature deaths attributed to long-term PM(2.5) exposure in adequately monitored provinces. CONCLUSION: In 2019, Türkiye faced persistent air pollution, with PM(2.5) levels exceeding WHO's 2021 limits across all provinces and stations. Türkiye lacks specific PM(2.5) limits legislation. Our findings provide a fresh insight into the literature, highlighting policy reform needs. However, data deficiencies hindered analysis in some provinces, affecting nearly 20% of the population aged 30 and above and 31% of the total surface area. Therefore, the actual burden of air pollution-related deaths may be higher than our estimates, underscoring the need to address these challenges urgently.