ArticleBMC public health2013
Screen-based media use clusters are related to other activity behaviours and health indicators in adolescents.
Article in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The associations between screen time and mental health in adolescents: a systematic review.BMC psychology · 2023Pooled it
- The relationship between screen-based sedentary behaviors and symptoms of depression and anxiety in youth: a systematic review of moderating variables.BMC public health · 2020Pooled it
- Sedentary behaviors and anxiety among children, adolescents and adults: a systematic review and meta-analysis.BMC public health · 2019Pooled it
- Is exergaming a viable exercise option for obese black women?Contemporary clinical trials · 2025Trial
- Article
- Global, regional and national burden of neck pain in children and adolescents: GBD 2021 systematic analysis.Frontiers in neurology · 2025Article
- Measurement Method Options to Investigate Digital Screen Technology Use by Children and Adolescents: A Narrative Review.Children (Basel, Switzerland) · 2024Review
- Autonomous motivation, social support, and physical activity in school children: moderating effects of school-based rope skipping sports participation.Frontiers in public health · 2024Article
- Youth Screen Media Activity Patterns and Associations With Behavioral Developmental Measures and Resting-state Brain Functional Connectivity.Journal of the American Academy of Child and Adolescent Psychiatry · 2023Article
- Mental health indicators for children and adolescents in OECD countries: a scoping review.Frontiers in public health · 2023Article
- Digital Technology and Media Use by Adolescents: Latent Class Analysis.JMIR pediatrics and parenting · 2022Article
- Screen Time and Body Image in Icelandic Adolescents: Sex-Specific Cross-Sectional and Longitudinal Associations.International journal of environmental research and public health · 2022Article
- Association of Night-Time Screen-Viewing with Adolescents' Diet, Sleep, Weight Status, and Adiposity.International journal of environmental research and public health · 2022Article
- A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6-17 Years Old in China.Frontiers in public health · 2022Article
- The Interactions of Media Use, Obesity, and Suboptimal Health Status: A Nationwide Time-Trend Study in China.International journal of environmental research and public health · 2021Article
- Article
- Associations between meeting sleep, physical activity or screen time behaviour guidelines and academic performance in Australian school children.BMC public health · 2020Article
- Psychological impacts of "screen time" and "green time" for children and adolescents: A systematic scoping review.PloS one · 2020Article
- Association Between Self-Reported and Objective Activity Levels by Demographic Factors: Ecological Momentary Assessment Study in Children.JMIR mHealth and uHealth · 2018Article
- Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis.American journal of health behavior · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundScreen-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.
methodsThe 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.
resultsThree 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.
conclusionSBM 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.
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