Cited by 43Physical Activity and HealthChild Development and Digital TechnologyImpact of Technology on Adolescents

Screen-based media use clusters are related to other activity behaviours and health indicators in adolescents

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Straker, Leon, Smith, Anne, Hands, Beth, Olds, Tim, Abbott, Rebecca·2013·BMC Public Health

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. 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.

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  • Girl instrumental computer users had higher self-efficacy compared to female computer e-gamers.

    “Girl instrumental computer users had higher self-efficacy compared to female computer e-gamers in one study [68].”
  • Boy computer instrumental users had lower depression scores and fewer internalizing behavior problems than 'e-gamers'.

    “Boy computer instrumental users had lower depression scores and fewer internalizing behavior problems than “e-gamers” in one study [68].”
  • In this review, non-recreational computer use for girls was associated with greater self-efficacy, while boys had lower depression scores and internalizing behaviors than those who used their computers only as a game console ('e-gamers').

    “In this review, non-recreational computer use for girls was associated with greater self-efficacy, while boys had lower depression scores and internalizing behaviors than those who used their computers only as a game console (“e-gamers”) [68].”

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Research works printed but not linked: 2

  1. WHO Global Recommendations on Physical Activity for Health 2010 Geneva: World Health Organisation 26180873
  2. Sterne JA Davey Smith G Sifting the evidence-what’s wrong with significance tests? BMJ 2001 13 226 231 11159626 PMC1119478

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Authors
Straker, L., Smith, A., Hands, B., Olds, T., & Abbott, R.
Affiliations
  • Curtin University (AU)
  • The University of Notre Dame Australia (AU)
  • University of South Australia (AU)
Corresponding author
Straker, Leon
Venue
BMC Public Health
Published
2013-12
Volume
13
Issue
1
Pages
1174-1174
ISSN
1471-2458 (ISSN-L)
OpenAlex
W1963916402
Cited by
43
References
56
Citations by year
2025: 4 · 2024: 5 · 2023: 2 · 2022: 7 · 2021: 2 · 2020: 6 · 2019: 1 · 2018: 7 · 2017: 2 · 2016: 3 · 2015: 4
FWCI
1.62
Type
journal article
Language
en
Open access
Locations
  • BMC Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UniSA Research Outputs Repository (University of South Australia) (acceptedVersion, other-oa)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by)
  • eSpace (Curtin University) (submittedVersion, cc-by)
  • Figshare (submittedVersion)
  • Open Research Exeter (University of Exeter) (submittedVersion, cc-by)
Funders
  • Raine Medical Research Foundation (353514)
  • Women and Infants Research Foundation (353514)
  • Curtin University of Technology (353514)
  • Medical Research Council
  • National Health and Medical Research Council (373638, 353514, 425513, 323200)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Social Sciences › Education › Child Development and Digital Technology
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
screen-based media use, adolescents, physical activity, sedentary behavior, television viewing, video game use, computer use, email use, mental health, psychosocial health, physical health, Raine Study
MeSH terms
Adolescent, Body Height, Body Weight, Computers, Female, Health Status, Humans, Male, Mass Media, Mental Health, Motor Activity, Peer Group, Surveys and Questionnaires, Sex Factors, Western Australia, Muscle Strength, Sedentary Behavior

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