PDF(Pubmed)
Abstract：
It is true that Chronic obstructive pulmonary disease (COPD) will increase social burden, especially in developing countries. Urban-rural differences in the lagged effects of PM2.5 and PM10 on COPD mortality remain unclear, in Chongqing, China.
In this study, a distributed lag non-linear model (DLNMs) was established to describe the urban-rural differences in the lagged effects of PM2.5, PM10 and COPD mortality in Chongqing, using 312,917 deaths between 2015 and 2020.
According to the DLNMs results, COPD mortality in Chongqing increases with increasing PM2.5 and PM10 concentrations, and the relative risk (RR) of the overall 7-day cumulative effect is higher in rural areas than in urban areas. High values of RR in urban areas occurred at the beginning of exposure (Lag 0 ~ Lag 1). High values of RR in rural areas occur mainly during Lag 1 to Lag 2 and Lag 6 to Lag 7.
Exposure to PM2.5 and PM10 is associated with an increased risk of COPD mortality in Chongqing, China. COPD mortality in urban areas has a high risk of increase in the initial phase of PM2.5 and PM10 exposure. There is a stronger lagging effect at high concentrations of PM2.5 and PM10 exposure in rural areas, which may further exacerbate inequalities in levels of health and urbanization.
In this study, a distributed lag non-linear model (DLNMs) was established to describe the urban-rural differences in the lagged effects of PM2.5, PM10 and COPD mortality in Chongqing, using 312,917 deaths between 2015 and 2020.
According to the DLNMs results, COPD mortality in Chongqing increases with increasing PM2.5 and PM10 concentrations, and the relative risk (RR) of the overall 7-day cumulative effect is higher in rural areas than in urban areas. High values of RR in urban areas occurred at the beginning of exposure (Lag 0 ~ Lag 1). High values of RR in rural areas occur mainly during Lag 1 to Lag 2 and Lag 6 to Lag 7.
Exposure to PM2.5 and PM10 is associated with an increased risk of COPD mortality in Chongqing, China. COPD mortality in urban areas has a high risk of increase in the initial phase of PM2.5 and PM10 exposure. There is a stronger lagging effect at high concentrations of PM2.5 and PM10 exposure in rural areas, which may further exacerbate inequalities in levels of health and urbanization.
摘要：
背景：慢性阻塞性肺疾病（COPD）确实会增加社会负担，尤其是在发展中国家。PM2.5和PM10对COPD死亡率的滞后效应的城乡差异仍不清楚。在重庆,中国。
方法：在本研究中，建立了分布滞后非线性模型(DLNMs)来描述重庆市PM2.5、PM10和COPD死亡率滞后效应的城乡差异,在2015年至2020年期间使用312,917例死亡。
结果：根据DLNMs的结果，重庆的COPD死亡率随着PM2.5和PM10浓度的增加而增加，农村地区总体7天累积效应的相对风险(RR)高于城市地区。城市地区的RR值较高发生在暴露开始时(滞后0~滞后1)。农村地区RR的高值主要发生在滞后1到滞后2和滞后6到滞后7。
结论：在重庆，PM2.5和PM10暴露与COPD死亡风险增加相关，中国。城市地区的COPD死亡率在PM2.5和PM10暴露的初始阶段增加的风险很高。农村地区PM2.5和PM10高浓度暴露存在较强的滞后效应,这可能进一步加剧健康和城市化水平的不平等。
方法：在本研究中，建立了分布滞后非线性模型(DLNMs)来描述重庆市PM2.5、PM10和COPD死亡率滞后效应的城乡差异,在2015年至2020年期间使用312,917例死亡。
结果：根据DLNMs的结果，重庆的COPD死亡率随着PM2.5和PM10浓度的增加而增加，农村地区总体7天累积效应的相对风险(RR)高于城市地区。城市地区的RR值较高发生在暴露开始时(滞后0~滞后1)。农村地区RR的高值主要发生在滞后1到滞后2和滞后6到滞后7。
结论：在重庆，PM2.5和PM10暴露与COPD死亡风险增加相关，中国。城市地区的COPD死亡率在PM2.5和PM10暴露的初始阶段增加的风险很高。农村地区PM2.5和PM10高浓度暴露存在较强的滞后效应,这可能进一步加剧健康和城市化水平的不平等。
