期刊
NEW ENGLAND JOURNAL OF MEDICINE
卷 381, 期 8, 页码 705-715出版社
MASSACHUSETTS MEDICAL SOC
DOI: 10.1056/NEJMoa1817364
关键词
-
资金
- National Natural Science Foundation of China [91843302, 91643205]
- China Medical Board Collaborating Program [16-250]
- Medical Research Council, United Kingdom [MR/R013349/1, MR/M022625/1]
- Career Development Fellowship of the Australian National Health and Medical Research Council [APP1107107, APP1163693]
- Ministry of Education of Spain [PRX17/00705]
- National Plan for I+D+I - Instituto de Salud Carlos III Directorate General for Evaluation [PI15/00515]
- European Regional Development Fund (FEDER)
- Global Research Laboratory from the National Research Foundation of Korea - Ministry of Science, Information and Communication Technologies [K21004000001-10A0500-00710]
- Academy of Finland [310372, 310373]
- Estonian Ministry of Education and Research [IUT34-17]
- Czech Science Foundation [18-22125S]
- Health Effects Institute, United States
- National Research Foundation of Korea [2010-00451] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- Academy of Finland (AKA) [310373, 310373] Funding Source: Academy of Finland (AKA)
- MRC [MR/M022625/1, MR/R013349/1] Funding Source: UKRI
BackgroundThe systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias. MethodsWe evaluated the associations of inhalable particulate matter (PM) with an aerodynamic diameter of 10 mu m or less (PM10) and fine PM with an aerodynamic diameter of 2.5 mu m or less (PM2.5) with daily all-cause, cardiovascular, and respiratory mortality across multiple countries or regions. Daily data on mortality and air pollution were collected from 652 cities in 24 countries or regions. We used overdispersed generalized additive models with random-effects meta-analysis to investigate the associations. Two-pollutant models were fitted to test the robustness of the associations. Concentration-response curves from each city were pooled to allow global estimates to be derived. ResultsOn average, an increase of 10 mu g per cubic meter in the 2-day moving average of PM10 concentration, which represents the average over the current and previous day, was associated with increases of 0.44% (95% confidence interval [CI], 0.39 to 0.50) in daily all-cause mortality, 0.36% (95% CI, 0.30 to 0.43) in daily cardiovascular mortality, and 0.47% (95% CI, 0.35 to 0.58) in daily respiratory mortality. The corresponding increases in daily mortality for the same change in PM2.5 concentration were 0.68% (95% CI, 0.59 to 0.77), 0.55% (95% CI, 0.45 to 0.66), and 0.74% (95% CI, 0.53 to 0.95). These associations remained significant after adjustment for gaseous pollutants. Associations were stronger in locations with lower annual mean PM concentrations and higher annual mean temperatures. The pooled concentration-response curves showed a consistent increase in daily mortality with increasing PM concentration, with steeper slopes at lower PM concentrations. ConclusionsOur data show independent associations between short-term exposure to PM10 and PM2.5 and daily all-cause, cardiovascular, and respiratory mortality in more than 600 cities across the globe. These data reinforce the evidence of a link between mortality and PM concentration established in regional and local studies. (Funded by the National Natural Science Foundation of China and others.) Modeling of the associations between mortality and air pollution data from 652 cities, mostly in the northern hemisphere, showed that concentrations of inhalable and fine particulate matter were associated with daily all-cause, cardiovascular, and respiratory mortality. An interactive map allows the reader to explore the geographic distribution of PM, and a Quick Take summarizes the findings in a short video.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据