Ambient Particulate Air Pollution and Daily Mortality in 652 Cities

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F19%3A00508320" target="_blank" >RIV/68378289:_____/19:00508320 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41330/19:79734

Výsledek na webu

<a href="https://www.nejm.org/doi/pdf/10.1056/NEJMoa1817364?articleTools=true" target="_blank" >https://www.nejm.org/doi/pdf/10.1056/NEJMoa1817364?articleTools=true</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1056/NEJMoa1817364" target="_blank" >10.1056/NEJMoa1817364</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Ambient Particulate Air Pollution and Daily Mortality in 652 Cities

Popis výsledku v původním jazyce

BackgroundThe systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias.nMethodsWe 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.nResultsOn 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.nConclusionsOur 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.)nModeling 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.

Název v anglickém jazyce

Ambient Particulate Air Pollution and Daily Mortality in 652 Cities

Popis výsledku anglicky

BackgroundThe systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias.nMethodsWe 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.nResultsOn 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.nConclusionsOur 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.)nModeling 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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10510 - Climatic research

Projekt

<a href="/cs/project/GA18-22125S" target="_blank" >GA18-22125S: Modelování vztahů mezi počasím a lidským zdravím</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

New England Journal of Medicine

ISSN

0028-4793

e-ISSN

—

Svazek periodika

381

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

705-715

Kód UT WoS článku

000483203400006

EID výsledku v databázi Scopus

2-s2.0-85071318200