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The effects of short-term exposure to air pollution on mortality in Baotou, China, during 2015-2019.
Lu, Ya-Ke; Liu, Xiao-Ling; Liu, Yu-Hong; Chen, Ning; Gao, Hao-Yu; Jin, Yan-Hui; Yan, Yu-Xiang.
Afiliación
  • Lu YK; Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
  • Liu XL; Baotou Center for Disease Control and Prevention, Baotou, 014000, Inner Mongolia, China.
  • Liu YH; Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
  • Chen N; Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
  • Gao HY; Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
  • Jin YH; Baotou Center for Disease Control and Prevention, Baotou, 014000, Inner Mongolia, China. btjyh624@163.com.
  • Yan YX; Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China. yanyxepi@ccmu.edu.cn.
Environ Geochem Health ; 45(6): 3387-3404, 2023 Jun.
Article en En | MEDLINE | ID: mdl-36322227
Air pollution was considered one of the main causes linked to increased morbidity and mortality around the world. This study aimed to estimate the effect of air pollutants on daily death in Baotou city of Inner Mongolia. Daily deaths data were provided by Baotou Centers for Disease Control and Prevention for the years 2015-2019 (Baotou CDC). The air pollutants, PM2.5, PM10, NO2, SO2, CO and maximum 8-h average concentrations of O3, came from the eight environmental monitoring stations in Baotou city. Time-series plots were used to exploit the trend of air pollutants at calendar time. Generalized additive model was used to estimate the effect of air pollutants on daily death. Restricted cubic spline was employed to investigate non-line relationships between air pollutants and daily death. After adjusting the meteorological factors, non-accidental daily deaths were related to PM2.5 (ER = 0.074%) and PM10 (ER = 0.023%), respectively. In stratified analysis, population aged over 65 years and females were more sensitive to air pollutants exposure and warm season might make people more susceptible to air pollutants compared with cold season. PM2.5 and PM10 increase the risk of non-accidental and cardiovascular daily death, but not respiratory daily death.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Prognostic_studies Límite: Aged / Female / Humans País/Región como asunto: Asia Idioma: En Revista: Environ Geochem Health Asunto de la revista: QUIMICA / SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Prognostic_studies Límite: Aged / Female / Humans País/Región como asunto: Asia Idioma: En Revista: Environ Geochem Health Asunto de la revista: QUIMICA / SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos