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Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F24%3A00586087" target="_blank" >RIV/68378289:_____/24:00586087 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41330/24:100792

  • Result on the web

    <a href="https://academic.oup.com/ije/article/53/3/dyae066/7667947?login=true" target="_blank" >https://academic.oup.com/ije/article/53/3/dyae066/7667947?login=true</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/ije/dyae066" target="_blank" >10.1093/ije/dyae066</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities

  • Original language description

    Background Model-estimated air pollution exposure products have been widely used in epidemiological studies to assess the health risks of particulate matter with diameters of <= 2.5 mu m (PM2.5). However, few studies have assessed the disparities in health effects between model-estimated and station-observed PM2.5 exposures.Methods We collected daily all-cause, respiratory and cardiovascular mortality data in 347 cities across 15 countries and regions worldwide based on the Multi-City Multi-Country collaborative research network. The station-observed PM2.5 data were obtained from official monitoring stations. The model-estimated global PM2.5 product was developed using a machine-learning approach. The associations between daily exposure to PM2.5 and mortality were evaluated using a two-stage analytical approach.Results We included 15.8 million all-cause, 1.5 million respiratory and 4.5 million cardiovascular deaths from 2000 to 2018. Short-term exposure to PM2.5 was associated with a relative risk increase (RRI) of mortality from both station-observed and model-estimated exposures. Every 10-mu g/m3 increase in the 2-day moving average PM2.5 was associated with overall RRIs of 0.67% (95% CI: 0.49 to 0.85), 0.68% (95% CI:0.03 to 1.39) and 0.45% (95% CI: 0.08 to 0.82) for all-cause, respiratory, and cardiovascular mortality based on station-observed PM2.5 and RRIs of 0.87% (95% CI: 0.68 to 1.06), 0.81% (95% CI: 0.08 to 1.55) and 0.71% (95% CI: 0.32 to 1.09) based on model-estimated exposure, respectively.Conclusions Mortality risks associated with daily PM2.5 exposure were consistent for both station-observed and model-estimated exposures, suggesting the reliability and potential applicability of the global PM2.5 product in epidemiological studies.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Epidemiology

  • ISSN

    0300-5771

  • e-ISSN

    1464-3685

  • Volume of the periodical

    53

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    8

  • Pages from-to

    dyae066

  • UT code for WoS article

    001217635900001

  • EID of the result in the Scopus database

    2-s2.0-85192813318