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Acute effect of daily fine particulate matter pollution on cerebrovascular mortality in Shanghai, China: a population-based time series study
Department of Applied Statistics, School of Business, Örebro University, Örebro, Sweden.
Örebro universitet, Institutionen för medicinska vetenskaper. Region Örebro län. Center for Assessment of Medical Technology in Örebro.
Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Solna, Sweden.
Örebro universitet, Institutionen för medicinska vetenskaper. Department of Public Health Sciences, Stockholm University, Stockholm, Sweden. (Clinical Epidemiology and Biostatistics)ORCID-id: 0000-0002-2088-0530
Vise andre og tillknytning
2019 (engelsk)Inngår i: Environmental science and pollution research international, ISSN 0944-1344, E-ISSN 1614-7499, Vol. 26, nr 25, s. 25491-25499Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Numerous studies have investigated the impacts of ambient fine particulate matter (PM2.5) on human health. In this study, we examined the association of daily PM2.5 concentrations with the number of deaths for the cerebrovascular disease on the same day, using the generalized additive model (GAM) controlling for temporal trend and meteorological variables. We used the data between 2012 and 2014 from Shanghai, China, where the adverse health effects of PM2.5 have been of particular concern. Three different approaches (principal component analysis, shrinkage smoothers, and the least absolute shrinkage and selection operator regularization) were used in GAM to handle multicollinear meteorological variables. Our results indicate that the average daily concentration of PM2.5 in Shanghai was high, 55 μg/m3, with an average daily death for cerebrovascular disease (CVD) of 62. There was 1.7% raised cerebrovascular disease deaths per 10 μg/m3 increase in PM2.5 concentration in the unadjusted model. However, PM2.5 concentration was no longer associated with CVD deaths after controlling for meteorological variables. The results were consistent in the three modelling techniques that we used. As a large number of people are exposed to air pollution, further investigation with longer time period including individual-level information is needed to examine the association.

sted, utgiver, år, opplag, sider
Springer, 2019. Vol. 26, nr 25, s. 25491-25499
Emneord [en]
Cerebrovascular mortality, Fine particulate matter, Generalized additive model, Least absolute shrinkage and selection operator, Multicollinearity, Principal component analysis, Shrinkage smoother
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Identifikatorer
URN: urn:nbn:se:oru:diva-75607DOI: 10.1007/s11356-019-05689-8ISI: 000483698500009PubMedID: 31264151Scopus ID: 2-s2.0-85068737714OAI: oai:DiVA.org:oru-75607DiVA, id: diva2:1344164
Merknad

Funding Agencies:

Karolinska Institutet, Sweden  C62400032 

Junior Faculty Grant of the Institute of Environmental Medicine, Karolinska Institutet  C62412022 

Joint China-Sweden Mobility Grant of the Swedish Foundation for International Cooperation Research and Education  CH2015-6145 

Tilgjengelig fra: 2019-08-20 Laget: 2019-08-20 Sist oppdatert: 2019-11-15bibliografisk kontrollert

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