ArticleBMC public health2018
A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years.
Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Everyday Digital Technology Use and Youth Health: Scoping Review of Longitudinal Studies.JMIR public health and surveillance · 2026Article
- Socio-demographic and other factors contributing to excessive leisure screen time in preadolescent children.Central European journal of public health · 2024Observational
- Trajectories of Loneliness During Adolescence Predict Subsequent Symptoms of Depression and Positive Wellbeing.Journal of youth and adolescence · 2024Article
- Application progress of latent class growth models in dynamic prevention and control strategies for acquired immunodeficiency syndrome.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Review
- The Mediating Role of School Adaptation in the Impact of Adolescent Victimization from Bullying on Mental Health: A Gender Differences Perspective.Psychology research and behavior management · 2024Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundHigh quality, longitudinal data describing young people's screen use across a number of distinct forms of screen activity is missing from the literature. This study tracked multiple screen use activities (passive screen use, gaming, social networking, web searching) amongst 10- to 17-year-old adolescents across 24 months.
methodsThis study tracked the screen use of 1948 Australian students in Grade 5 (n = 636), Grade 7 (n = 672), and Grade 9 (n = 640) for 24 months. At approximately six-month intervals, students reported their total screen time as well as time spent on social networking, passive screen use, gaming, and web use. Patterns of screen use were determined using latent growth curve modelling.
resultsIn the Grades 7 and 9 cohorts, girls generally reported more screen use than boys (by approximately one hour a day), though all cohorts of boys reported more gaming. The different forms of screen use were remarkably stable, though specific cohorts showed change for certain forms of screen activity.
conclusionThese results highlight the diverse nature of adolescent screen use and emphasise the need to consider both grade and sex in future research and policy.
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Registered trials
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