当前位置: X-MOL 学术Air Qual. Atmos. Health › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Risks of hospital outpatient visits for overall and cause-specific respiratory disease associated with particulate matter pollution in Lanzhou, China
Air Quality, Atmosphere & Health ( IF 2.9 ) Pub Date : 2021-05-18 , DOI: 10.1007/s11869-021-01030-w
Jiyuan Dong , Renqing Yang , Guangyu Zhai , Jiancheng Wang , Hairong Bao

Until now, few epidemiological studies have focused on the association between ambient particulate matter (PM) pollution and hospital outpatient visits for overall and cause-specific respiratory disease, especially in Lanzhou. This study aimed to evaluate the short-term effects of PM2.5, PMC, and PM10 on hospital outpatient visits for overall and subtypes of respiratory disease in Lanzhou, China, during 2007–2017, using a generalized additive model (GAM). We further assessed the impact of ambient size-fractioned PM on daily total and cause-specific respiratory morbidity, following a series of air quality improvement action in the area with overall and period-specific analyses. Positive associations were identified between PM2.5, PMC, and PM10 and daily morbidity rates from overall respiratory diseases, upper respiratory tract infection, lower respiratory tract infection, pneumonia, and COPD at different lag pattern. Each 10 μg/m3 increase in PM2.5 at lag07, PMC at lag03, and PM10 at lag06 corresponded to an increase of 1.353% (95% CI: 1.249%, 1.457%), 0.052% (95%CI: 0.015%, 0.089%), and 0.201% (95% CI: 0.165%, 0.236%) in daily hospital outpatient visits for total respiratory, respectively. We did not find significant effects of PM2.5, PMC, and PM10 on asthma. For specific subtypes of respiratory diseases, the effects of PM were strongest on pneumonia morbidity, with an increase of 3.712% (95% CI: 3.308%, 4.117%), 0.874% (95% CI: 0.698%, 1.051%), and 0.967% (95% CI: 0.836%, 1.099%) per 10 μg/m3 increment in PM2.5, PMC, and PM10, respectively. The exposure-response association was non-linear across the full range of exposures. With drastic reductions in annual PM levels, the three size-specific PM associate and respiratory morbidity risk showed decreasing trend over time. This study suggests that PM could exert adverse influences on the outcomes of all-cause and cause-specific respiratory outpatient visits in Lanzhou, China. PM2.5 would have significant effects on pneumonia and RTI. Strategies should be considered to further reduce levels of ambient PM2.5.

更新日期:2021-05-18
down
wechat
bug