Avoidable mortality due to long-term exposure to PM 2.5 in Colombia 2014-2019.

Autor: Rodriguez-Villamizar LA; Department of Public Health, Universidad Industrial de Santander, Carrera 32 29-31 Of. 301 Facultad de Salud, 68002, Bucaramanga, Colombia. laurovi@uis.edu.co., Belalcazar-Ceron LC; School of Engineering, Universidad Nacional de Colombia, Bogotá, Colombia., Castillo MP; School of Engineering, Universidad Nacional de Colombia, Bogotá, Colombia., Sanchez ER; School of Engineering, Universidad Nacional de Colombia, Bogotá, Colombia., Herrera V; Department of Public Health, Universidad Industrial de Santander, Carrera 32 29-31 Of. 301 Facultad de Salud, 68002, Bucaramanga, Colombia.; Faculty of Health Sciences, Universidad Autónoma de Bucaramanga, Bucaramanga, Colombia., Agudelo-Castañeda DM; Department of Civil and Environmental Engineering, Universidad del Norte, Barranquilla, Colombia.
Jazyk: angličtina
Zdroj: Environmental health : a global access science source [Environ Health] 2022 Dec 24; Vol. 21 (1), pp. 137. Date of Electronic Publication: 2022 Dec 24.
DOI: 10.1186/s12940-022-00947-8
Abstrakt: Objective: To compare estimates of spatiotemporal variations of surface PM 2.5 concentrations in Colombia from 2014 to 2019 derived from two global air quality models, as well as to quantify the avoidable deaths attributable to the long-term exposure to concentrations above the current and projected Colombian standard for PM 2.5 annual mean at municipality level.
Methods: We retrieved PM 2.5 concentrations at the surface level from the ACAG and CAMSRA global air quality models for all 1,122 municipalities, and compare 28 of them with available concentrations from monitor stations. Annual mortality data 2014-2019 by municipality of residence and pooled effect measures for total, natural and specific causes of mortality were used to calculate the number of annual avoidable deaths and years of potential life lost (YPLL) related to the excess of PM 2.5 concentration over the current mean annual national standard of 25 µg/m 3 and projected standard of 15 µg/m 3 .
Results: Compared to surface data from 28 municipalities with monitoring stations in 2019, ACAG and CAMSRA models under or overestimated annual mean PM 2.5 concentrations. Estimations from ACAG model had a mean bias 1,7 µg/m 3 compared to a mean bias of 4,7 µg/m 3 from CAMSRA model. Using ACAG model, estimations of total nationally attributable deaths to PM 2.5 exposure over 25 and 15 µg/m 3 were 142 and 34,341, respectively. Cardiopulmonary diseases accounted for most of the attributable deaths due to PM 2.5 excess of exposure (38%). Estimates of YPLL due to all-cause mortality for exceeding the national standard of 25 µg/m 3 were 2,381 years.
Conclusion: Comparison of two global air quality models for estimating surface PM 2.5 concentrations during 2014-2019 at municipality scale in Colombia showed important differences. Avoidable deaths estimations represent the total number of deaths that could be avoided if the current and projected national standard for PM 2.5 annual mean have been met, and show the health-benefit of the implementation of more restrictive air quality standards.
(© 2022. The Author(s).)
Databáze: MEDLINE
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