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dc.contributor.authorTjora, Tore
dc.contributor.authorHetland, Jørn
dc.contributor.authorAarø, Leif Edvard
dc.contributor.authorØverland, Simon
dc.date.accessioned2014-11-07T15:36:00Z
dc.date.available2014-11-07T15:36:00Z
dc.date.issued2011-12-09eng
dc.identifier.issn1471-2458
dc.identifier.urihttps://hdl.handle.net/1956/8728
dc.description.abstractBackground: Studies on adolescent smoking indicate that the smoking behaviours of their parents, siblings and friends are significant micro-level predictors. Parents’ socioeconomic status (SES) is an important macro-level predictor. We examined the longitudinal relationships between these predictors and the initiation and development of adolescents’ smoking behaviour in Norway. Methods: We employed data from The Norwegian Longitudinal Health Behaviour Study (NLHB), in which participants were followed from the age of 13 to 30. We analysed data from the first 5 waves, covering the age span from 13 to 18, with latent curve modeling (LCM). Results: Smoking rates increased from 3% to 31% from age 13 to age 18. Participants’ smoking was strongly associated with their best friends’ smoking. Parental SES, parents’ smoking and older siblings’ smoking predicted adolescents’ initial level of smoking. Furthermore, the same variables predicted the development of smoking behaviour from age 13 to 18. Parents’ and siblings’ smoking behaviours acted as mediators of parents’ SES on the smoking habits of adolescents. Conclusions: Parents’ SES was significantly associated, directly and indirectly, with both smoking initiation and development. Parental and older siblings’ smoking behaviours were positively associated with both initiation and development of smoking behaviour in adolescents. There were no significant gender differences in these associations.en_US
dc.language.isoengeng
dc.publisherBioMed Centraleng
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/2.0eng
dc.titleDistal and proximal family predictors of adolescents' smoking initiation and development: A longitudinal latent curve model analysiseng
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2013-08-23T09:34:35Z
dc.description.versionpublishedVersion
dc.description.versionPeer Reviewed
dc.rights.holderCopyright 2011 Tjora et al; licensee BioMed Central Ltd
dc.rights.holderTore Tjora et al.; licensee BioMed Central Ltd.eng
dc.source.articlenumber911
dc.identifier.doihttps://doi.org/10.1186/1471-2458-11-911
dc.identifier.cristin888454
dc.source.journalBMC Public Health
dc.source.4011


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