Sökning: WFRF:(Bell Noah) > Differential mortal...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 05036naa a2200805 4500 | |
001 | oai:DiVA.org:umu-190752 | |
003 | SwePub | |
008 | 211227s2022 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1907522 URI |
024 | 7 | a https://doi.org/10.1097/EDE.00000000000014552 DOI |
040 | a (SwePub)umu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Masselot, Pierre4 aut |
245 | 1 0 | a Differential mortality risks associated with PM2.5 components :b a multi-country, multi-city study |
264 | 1 | b Wolters Kluwer,c 2022 |
338 | a print2 rdacarrier | |
520 | a BACKGROUND: The association between fine particulate matter (PM2.5) and mortality widely differs between as well as within countries. Differences in PM2.5 composition can play a role in modifying the effect estimates, but there is little evidence about which components have higher impacts on mortality.METHODS: We applied a two-stage analysis on data collected from 210 locations in 16 countries. In the first stage, we estimated location-specific relative risks (RR) for mortality associated with daily total PM2.5 through time series regression analysis. We then pooled these estimates in a meta-regression model that included city-specific logratio-transformed proportions of seven PM2.5 components as well as meta-predictors derived from city-specific socio-economic and environmental indicators.RESULTS: We found associations between RR and several PM2.5 components. Increasing the ammonium (NH4+) proportion from 1% to 22%, while keeping a relative average proportion of other components, increased the RR from 1.0063 (95%CI: 1.0030-1.0097) to 1.0102 (95%CI:1.0070-1.0135). Conversely, an increase in nitrate (NO3-) from 1% to 71% resulted in a reduced RR, from 1.0100 (95%CI: 1.0067-1.0133) to 1.0037 (95%CI: 0.9998- 1.0077). Differences in composition explained a substantial part of the heterogeneity in PM2.5 risk.CONCLUSIONS: These findings contribute to the identification of more hazardous emission sources. Further work is needed to understand the health impacts of PM2.5 components and sources given the overlapping sources and correlations among many components. | |
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 |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi0 (SwePub)303022 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Public Health, Global Health, Social Medicine and Epidemiology0 (SwePub)303022 hsv//eng |
653 | a Public health | |
653 | a folkhälsa | |
700 | 1 | a Sera, Francesco4 aut |
700 | 1 | a Schneider, Rochelle4 aut |
700 | 1 | a Kan, Haidong4 aut |
700 | 1 | a Lavigne, Éric4 aut |
700 | 1 | a Stafoggia, Massimo4 aut |
700 | 1 | a Tobias, Aurelio4 aut |
700 | 1 | a Chen, Hong4 aut |
700 | 1 | a Burnett, Richard T.4 aut |
700 | 1 | a Schwartz, Joel4 aut |
700 | 1 | a Zanobetti, Antonella4 aut |
700 | 1 | a Bell, Michelle L.4 aut |
700 | 1 | a Chen, Bing-Yu4 aut |
700 | 1 | a Leon Guo, Yue-Liang4 aut |
700 | 1 | a Ragettli, Martina S.4 aut |
700 | 1 | a Vicedo-Cabrera, Ana Maria4 aut |
700 | 1 | a Åström, Christofer,d 1983-u Umeå universitet,Avdelningen för hållbar hälsa4 aut0 (Swepub:umu)chas0002 |
700 | 1 | a Forsberg, Bertil,c professor,d 1956-u Umeå universitet,Avdelningen för hållbar hälsa4 aut0 (Swepub:umu)befo0001 |
700 | 1 | a Íñiguez, Carmen4 aut |
700 | 1 | a Garland, Rebecca M.4 aut |
700 | 1 | a Scovronick, Noah4 aut |
700 | 1 | a Madureira, Joana4 aut |
700 | 1 | a Nunes, Baltazar4 aut |
700 | 1 | a De la Cruz Valencia, César4 aut |
700 | 1 | a Hurtado Diaz, Magali4 aut |
700 | 1 | a Honda, Yasushi4 aut |
700 | 1 | a Hashizume, Masahiro4 aut |
700 | 1 | a Fook Cheng Ng, Chris4 aut |
700 | 1 | a Samoli, Evangelia4 aut |
700 | 1 | a Katsouyanni, Klea4 aut |
700 | 1 | a Schneider, Alexandra4 aut |
700 | 1 | a Breitner, Susanne4 aut |
700 | 1 | a Ryti, Niilo R. I.4 aut |
700 | 1 | a Jaakkola, Jouni J. K.4 aut |
700 | 1 | a Maasikmets, Marek4 aut |
700 | 1 | a Orru, Hansu Department of Family Medicine and Public Health, University of Tartu, Tartu, Estonia4 aut0 (Swepub:umu)haor0004 |
700 | 1 | a Guo, Yuming4 aut |
700 | 1 | a Valdés Ortega, Nicolás4 aut |
700 | 1 | a Matus Correa, Patricia4 aut |
700 | 1 | a Tong, Shilu4 aut |
700 | 1 | a Gasparrini, Antonio4 aut |
710 | 2 | a Umeå universitetb Avdelningen för hållbar hälsa4 org |
773 | 0 | t Epidemiologyd : Wolters Kluwerg 33:2, s. 167-175q 33:2<167-175x 1044-3983x 1531-5487 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-190752 |
856 | 4 8 | u https://doi.org/10.1097/EDE.0000000000001455 |
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.