rdf:type |
|
lifeskim:mentions |
|
pubmed:issue |
1
|
pubmed:dateCreated |
2009-12-9
|
pubmed:abstractText |
The identification of the factors associated with severe asthma may shed some light on its etiology and on the mechanisms of its development. We aimed to describe asthma severity using the Global Initiative for Asthma (GINA) classification and to investigate its determinants in a cross-sectional, population-based sample in Europe.
|
pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:chemical |
|
pubmed:status |
MEDLINE
|
pubmed:issn |
1423-0097
|
pubmed:author |
pubmed-author:AccordiniSimoneS,
pubmed-author:BugianiMassimilianoM,
pubmed-author:CazzolettiLuciaL,
pubmed-author:CerveriIsaI,
pubmed-author:CorsicoAngeloA,
pubmed-author:GislasonDavidD,
pubmed-author:GulsvikAmundA,
pubmed-author:JansonChristerC,
pubmed-author:JarvisDeborahD,
pubmed-author:MarconAlessandroA,
pubmed-author:PinIsabelleI,
pubmed-author:Therapy and Health Economics Group of the European Community...,
pubmed-author:de MarcoRobertoR
|
pubmed:issnType |
Electronic
|
pubmed:volume |
151
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
70-9
|
pubmed:meshHeading |
|
pubmed:year |
2010
|
pubmed:articleTitle |
Asthma severity according to Global Initiative for Asthma and its determinants: an international study.
|
pubmed:affiliation |
Unit of Epidemiology and Medical Statistics, Department of Medicine and Public Health, University of Verona, Verona, Italy. lucia.cazzoletti@univr.it
|
pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Multicenter Study
|