Urban-rural difference in the lagged effects of PM2.5 and PM10 on COPD mortality in Chongqing, China

BMC Public Health

Research

Jiangbo Wang¹  Aiping Gou²  Guanzheng Tan²  Chunyan Gou³  Xianbin Ding⁴  Qiang Tan⁴  Xiaoyan Lv⁴ 

[1] College of Architecture, Nanjing Tech University, 211816, Nanjing, China;College of Ecological Technology and Engineering, Shanghai Institute of Technology, 201418, Shanghai, China;Department of Acupuncture, Chongqing Traditional Chinese Medicine Hospital, 400021, Chongqing, China;Institute of Chronic and Non-communicable Disease Control and Prevention, Chongqing Center for Disease Control and Prevention, 400042, Chongqing, China;

关键词: DLNMs;    COPD;    Urban-rural differences;    PM2.5;    PM10;    Lagged effects;   

DOI  :  10.1186/s12889-023-16113-9

 received in 2023-03-30, accepted in 2023-06-13,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundIt 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.MethodsIn 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.ResultsAccording 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.ConclusionExposure 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.

【 授权许可】

CC BY   
© The Author(s) 2023

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