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Screen-based media use clusters are related to other activity behaviours and health indicators in adolescents
- Source :
- BMC Public Health
- Publication Year :
- 2013
- Publisher :
- BioMed Central, 2013.
-
Abstract
- Background: 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. 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. 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. Refereed/Peer-reviewed
- Subjects :
- Gerontology
Male
Adolescent
Health Status
physical activity
Motor Activity
Peer Group
03 medical and health sciences
0302 clinical medicine
Sex Factors
Electronic games
Latent class analysis
Surveys and Questionnaires
computers
sedentary behaviour
latent class analysis
Medicine
Humans
030212 general & internal medicine
Mass Media
Muscle Strength
Sedentary lifestyle
business.industry
Computers
Physical activity
Body Weight
Public Health, Environmental and Occupational Health
electronic games
Peer group
030229 sport sciences
Sedentary behaviour
Western Australia
Mental health
Health indicator
Latent class model
Body Height
Computer game
Mental Health
Cohort
Female
Sedentary Behavior
business
Psychosocial
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 14712458
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- BMC Public Health
- Accession number :
- edsair.doi.dedup.....f3676faab30d08c9f7c88f1070a674a7