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dc.contributor.authorStraker, L
dc.contributor.authorSmith, A
dc.contributor.authorHands, B
dc.contributor.authorOlds, T
dc.contributor.authorAbbott, R
dc.date.accessioned2018-08-01T15:00:28Z
dc.date.issued2013-12-13
dc.description.abstractBACKGROUND: Screen-based media (SBM) occupy a considerable portion of young peoples' discretionary leisure time. The aim of this paper was to investigate whether distinct clusters of SBM use exist, and if so, to examine the relationship of any identified clusters with other activity/sedentary behaviours and physical and mental health indicators. METHODS: The data for this study come from 643 adolescents, aged 14 years, who were participating in the longitudinal Western Australian Pregnancy Cohort (Raine) Study through May 2003 to June 2006. Time spent on SBM, phone use and reading was assessed using the Multimedia Activity Recall for Children and Adults. Height, weight, muscle strength were measured at a clinic visit and the adolescents also completed questionnaires on their physical activity and psychosocial health. Latent class analysis (LCA) was used to analyse groupings of SBM use. RESULTS: Three clusters of SBM use were found; C1 'instrumental computer users' (high email use, general computer use), C2 'multi-modal e-gamers' (both high console and computer game use) and C3 'computer e-gamers' (high computer game use only). Television viewing was moderately high amongst all the clusters. C2 males took fewer steps than their male peers in C1 and C3 (-13,787/week, 95% CI: -4619 to -22957, p = 0.003 and -14,806, 95% CI: -5,306 to -24,305, p = 0.002) and recorded less MVPA than the C1 males (-3.5 h, 95% CI: -1.0 to -5.9, p = 0.005). There was no difference in activity levels between females in clusters C1 and C3. CONCLUSION: SBM use by adolescents did cluster and these clusters related differently to activity/sedentary behaviours and both physical and psychosocial health indicators. It is clear that SBM use is not a single construct and future research needs to take consideration of this if it intends to understand the impact SBM has on health.en_GB
dc.description.sponsorshipFunding received from the Australian National Health and Medical Research Council (including project 323200, fellowships 425513 and 373638, program 353514), Raine Medical Research Foundation, University of Western Australia, Curtin University, Faculty of Medicine, Dentistry and Health Sciences at the University of Western Australia, Women and Infants Research Foundation, and Telethon Institute for Child Health Research.en_GB
dc.identifier.citationVol. 13:1174en_GB
dc.identifier.doi10.1186/1471-2458-13-1174
dc.identifier.urihttp://hdl.handle.net/10871/33634
dc.language.isoenen_GB
dc.publisherBioMed Centralen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/24330626en_GB
dc.rights© 2013 Straker et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectAdolescenten_GB
dc.subjectBody Heighten_GB
dc.subjectBody Weighten_GB
dc.subjectComputersen_GB
dc.subjectFemaleen_GB
dc.subjectHealth Statusen_GB
dc.subjectHumansen_GB
dc.subjectMaleen_GB
dc.subjectMass Mediaen_GB
dc.subjectMental Healthen_GB
dc.subjectMotor Activityen_GB
dc.subjectMuscle Strengthen_GB
dc.subjectPeer Groupen_GB
dc.subjectSedentary Lifestyleen_GB
dc.subjectSex Factorsen_GB
dc.subjectSurveys and Questionnairesen_GB
dc.subjectWestern Australiaen_GB
dc.titleScreen-based media use clusters are related to other activity behaviours and health indicators in adolescents.en_GB
dc.typeArticleen_GB
dc.date.available2018-08-01T15:00:28Z
exeter.place-of-publicationEnglanden_GB
dc.descriptionThis is the final version of the article. Available from BioMed Central via the DOI in this record.en_GB
dc.identifier.eissn1471-2458
dc.identifier.journalBMC Public Healthen_GB


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