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Rev. chil. enferm. respir ; 35(3): 181-190, 2019. tab, graf
Article in Spanish | LILACS | ID: biblio-1058073

ABSTRACT

OBJETIVO: Determinar el impacto de la contaminación del aire sobre la salud respiratoria en las comunas de Chillán, Concepción y Los Ángeles entre los años 2013 y 2017. MATERIAL Y MÉTODOS: Se estimaron modelos lineales generalizados (GLM) a partir de datos diarios de atenciones de urgencias por enfermedades respiratorias desagregadas por tipo y rango etario, concentraciones de material particulado respirable (MP10) y material particulado fino (MP2,5), índice viral, variables meteorológicas y estacionales. RESULTADOS: Se obtiene una asociación positiva entre los contaminantes analizados y las atenciones de urgencias por causas respiratorias, especialmente IRA alta y Bronquitis/Bronquiolitis aguda en Chillán, IRA alta en Concepción, y además, IRA alta, Influenza y Crisis Obstructiva Bronquial en Los Ángeles. CONCLUSIONES: El incremento en el número de todas las atenciones de urgencia es aproximadamente 18.695 al año por cada 1 μg/m3 de incremento en las concentraciones de material particulado.


OBJECTIVE: To determine the impact of air pollution on respiratory diseases in the districts of Chillán, Concepción and Los Ángeles, Chile between 2013 and 2017. MATERIAL AND METHODS: Generalized linear models (GLM) were estimated from daily data for emergency room admissions disaggregated by type and age range, concentrations of respirable particulate matter (PM10) and fine particulate matter (PM2.5), viral index, meteorological and seasonal variables. RESULTS: A positive association is obtained between the analyzed contaminants and the number of emergency room admissions for respiratory causes, especially acute upper respiratory infection (URI) and acute bronchitis / bronchiolitis in Chillán, acute URI in Concepción, and also, acute URI, Influenza and obstructive bronchial crisis in Los Angeles. CONCLUSIONS: The increase in the total number of emergency room admissions is approximately 18,695 per year for every 1 μg / m3 increase in PM concentrations.


Subject(s)
Humans , Male , Female , Infant , Child, Preschool , Child , Adolescent , Adult , Middle Aged , Aged , Young Adult , Respiratory Tract Diseases/epidemiology , Air Pollution/adverse effects , Emergency Medical Services/statistics & numerical data , Particulate Matter/adverse effects , Pneumonia/epidemiology , Respiratory Tract Diseases/chemically induced , Respiratory Tract Infections/epidemiology , Linear Models , Chile , Age Distribution , Risk Assessment , Influenza, Human/epidemiology , Particulate Matter/analysis
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