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Sökning: id:"swepub:oai:DiVA.org:oru-79921" > Short-Term Associat...

Short-Term Associations of Fine Particulate Matter and Synoptic Weather Types with Cardiovascular Mortality : An Ecological Time-Series Study in Shanghai, China

Tian, Qing (författare)
Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
Li, Mei, 1970- (författare)
Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Center for Assessment of Medical Technology
Montgomery, Scott, 1961- (författare)
Karolinska Institutet,Örebro universitet,Institutionen för medicinska vetenskaper,Clinical Epidemiology Division, Department of Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology and Public Health, University College London, London WC, UK,Clinical Epidemiology and Biostatistics
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Fang, Bo (författare)
Division of Vital Statistics, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
Wang, Chunfang (författare)
Division of Vital Statistics, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
Xia, Tian (författare)
Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
Cao, Yang, Associate Professor, 1972- (författare)
Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län
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 (creator_code:org_t)
2020-02-10
2020
Engelska.
Ingår i: International Journal of Environmental Research and Public Health. - : MDPI. - 1661-7827 .- 1660-4601. ; 17:3
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background: Exposures to both ambient fine particulate matter (PM2.5) and extreme weather conditions have been associated with cardiovascular disease (CVD) deaths in numerous epidemiologic studies. However, evidence on the associations with CVD deaths for interaction effects between PM2.5 and weather conditions is still limited. This study aimed to investigate associations of exposures to PM2.5 and weather conditions with cardiovascular mortality, and further to investigate the synergistic or antagonistic effects of ambient air pollutants and synoptic weather types (SWTs).Methods: Information on daily CVD deaths, air pollution, and meteorological conditions between 1 January 2012 and 31 December 2014 was obtained in Shanghai, China. Generalized additive models were used to assess the associations of daily PM2.5 concentrations and meteorological factors with CVD deaths. A 15-day lag analysis was conducted using a polynomial distributed lag model to access the lag patterns for associations with PM2.5.Results: During the study period, the total number of CVD deaths in Shanghai was 59,486, with a daily mean of 54.3 deaths. The average daily PM2.5 concentration was 55.0 µg/m3. Each 10 µg/m3 increase in PM2.5 concentration was associated with a 1.26% (95% confidence interval (CI): 0.40%, 2.12%) increase in CVD mortality. No SWT was statistically significantly associated with CVD deaths. For the interaction between PM2.5 and SWT, statistically significant interactions were found between PM2.5 and cold weather, with risk for PM2.5 in cold dry SWT decreasing by 1.47% (95% CI: 0.54%, 2.39%), and in cold humid SWT the risk decreased by 1.45% (95% CI: 0.52%, 2.36%). In the lag effect analysis, statistically significant positive associations were found for PM2.5 in the 1-3 lag days, while no statistically significant effects were found for other lag day periods.Conclusions: Exposure to PM2.5 was associated with short-term increased risk of cardiovascular deaths with some lag effects, while the cold weather may have an antagonistic effect with PM2.5. However, the ecological study design limited the possibility to identify a causal relationship, so prospective studies with individual level data are warranted.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Arbetsmedicin och miljömedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Occupational Health and Environmental Health (hsv//eng)

Nyckelord

PM2.5
air pollution
antagonistic effect
cardiovascular mortality
fine particulate matter
interaction effect
lag effect
synergistic effect
synoptic weather type
weather

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