Association between air pollution and death from respiratory diseases in Wuhan from 2014 to 2019
10.19428/j.cnki.sjpm.2022.21711
- VernacularTitle:武汉市2014—2019年大气污染与居民呼吸系统疾病死亡关系研究
- Author:
Yuanyuan ZHAO
1
;
Niannian YANG
1
;
Juan DAI
1
;
Xiaoxia ZHANG
1
;
Yaqiong YAN
1
Author Information
1. Division of Non-communicable Diseases， Wuhan Municipal Center for Disease Control and Prevention， Wuhan， Hubei 430024， China
- Publication Type:Journal Article
- Keywords:
air pollution;
respiratory disease;
generalized additive model
- From:
Shanghai Journal of Preventive Medicine
2022;34(7):629-633
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo determine the association between air pollutants （PM2.5， PM10， SO2， NO2） and death from respiratory diseases in Wuhan. MethodsDaily air pollutants， meteorological data and mortality from respiratory disease between 2014 and 2019 were collected for a descriptive analysis. A time series semi-parametric generalized additive model （GAM） was used to determine the exposure-effect relationship between atmospheric pollutants and daily mortality from respiratory diseases，and the excess risk （ER） was used to quantify the effects of air pollutants on death from respiratory diseases. ResultsThere was significant effect of PM2.5， PM10， SO2 and NO2 on respiratory diseases mortality. In the period with strongest effect， the ER of death from respiratory diseases were 2.803%（95%CI：2.151%‒3.460%）， 1.878%（95%CI：1.477%‒2.281%）， 10.210%（95%CI：7.922%‒12.549%）， 4.564%（95%CI：3.530%‒5.608%）， along with an incremental 10 μg·m-3 of PM2.5，PM10，SO2 and NO2， respectively. Furthermore， females were more sensitive to PM2.5， SO2 and NO2， while males were more sensitive to PM10. Residents aged less than 65 years were more sensitive to PM2.5 and NO2， and those older than 65 years were more sensitive to PM10 and SO2. ConclusionAir pollutants （PM2.5， PM10， SO2， and NO2） in Wuhan are associated with the death from respiratory diseases. Therefore， at-risk groups should be considered for formulating local policies against air pollution.
