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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 05669naa a2200553 4500 | |
| 001 | oai:DiVA.org:oru-79921 | |
| 003 | SwePub | |
| 008 | 200220s2020 | |||||||||||000 ||eng| | |
| 009 | oai:prod.swepub.kib.ki.se:143158848 | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-799212 URI |
| 024 | 7 | a https://doi.org/10.3390/ijerph170311112 DOI |
| 024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1431588482 URI |
| 040 | a (SwePub)orud (SwePub)ki | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Tian, Qingu Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden4 aut |
| 245 | 1 0 | a Short-Term Associations of Fine Particulate Matter and Synoptic Weather Types with Cardiovascular Mortality :b An Ecological Time-Series Study in Shanghai, China |
| 264 | c 2020-02-10 | |
| 264 | 1 | b MDPI,c 2020 |
| 338 | a print2 rdacarrier | |
| 500 | a Funding Agency:National Natural Science Foundation of China 31971485 | |
| 520 | a 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. | |
| 650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Arbetsmedicin och miljömedicin0 (SwePub)303032 hsv//swe |
| 650 | 7 | a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Occupational Health and Environmental Health0 (SwePub)303032 hsv//eng |
| 653 | a PM2.5 | |
| 653 | a air pollution | |
| 653 | a antagonistic effect | |
| 653 | a cardiovascular mortality | |
| 653 | a fine particulate matter | |
| 653 | a interaction effect | |
| 653 | a lag effect | |
| 653 | a synergistic effect | |
| 653 | a synoptic weather type | |
| 653 | a weather | |
| 700 | 1 | a Li, Mei,d 1970-u Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Center for Assessment of Medical Technology4 aut0 (Swepub:oru)mili |
| 700 | 1 | a Montgomery, Scott,d 1961-u 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 Biostatistics4 aut0 (Swepub:oru)smy |
| 700 | 1 | a Fang, Bou Division of Vital Statistics, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China4 aut |
| 700 | 1 | a Wang, Chunfangu Division of Vital Statistics, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China4 aut |
| 700 | 1 | a Xia, Tianu Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China4 aut |
| 700 | 1 | a Cao, Yang,c Associate Professor,d 1972-u Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län4 aut0 (Swepub:oru)yco |
| 710 | 2 | a Department of Public Health Sciences, Karolinska Institutet, Stockholm, Swedenb Institutionen för medicinska vetenskaper4 org |
| 773 | 0 | t International Journal of Environmental Research and Public Healthd : MDPIg 17:3q 17:3x 1661-7827x 1660-4601 |
| 856 | 4 | u https://doi.org/10.3390/ijerph17031111y Fulltext |
| 856 | 4 | u https://res.mdpi.com/d_attachment/ijerph/ijerph-17-01111/article_deploy/ijerph-17-01111-v2.pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-79921 |
| 856 | 4 8 | u https://doi.org/10.3390/ijerph17031111 |
| 856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:143158848 |
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