A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years

Michael Rosenberg; Stephen Houghton; Simon C. Hunter; Corinne Zadow; Trevor Shilton; Lisa Wood; David Lawrence

doi:10.1186/s12889-018-5240-0

A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years

Michael Rosenberg^*, Stephen Houghton, Simon C. Hunter, Corinne Zadow, Trevor Shilton, Lisa Wood, David Lawrence

^*Corresponding author for this work

Psychology

Research output: Contribution to journal › Article › peer-review

14 Downloads (Pure)

Abstract

Background: High 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.
Methods: This study tracked the screen use of 1,948 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.
Results: In 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.
Conclusion: These results highlight the diverse nature of adolescent screen use and emphasise the need to consider both grade and sex in future research and policy.

Original language	English
Article number	332 (2018)
Number of pages	10
Journal	BMC Public Health
Volume	18
DOIs	https://doi.org/10.1186/s12889-018-5240-0
Publication status	Published - 7 Mar 2018

Keywords

adolescents
electronic screen use
guidelines

Documents and Links

10.1186/s12889-018-5240-0

Rosenberg, M. et al (2018) A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years
© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Final published version, 646 KBLicence: CC BY

Cite this

@article{a67ca5de2c93493e9819c2365ea2e9f4,

title = "A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years",

abstract = "Background: High quality, longitudinal data describing young people{\textquoteright}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.Methods: This study tracked the screen use of 1,948 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.Results: In 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.Conclusion: These results highlight the diverse nature of adolescent screen use and emphasise the need to consider both grade and sex in future research and policy.",

keywords = "adolescents, electronic screen use, guidelines",

author = "Michael Rosenberg and Stephen Houghton and Hunter, {Simon C.} and Corinne Zadow and Trevor Shilton and Lisa Wood and David Lawrence",

note = "Acceptance from webpage OA article Gold exception applied - published immediate OA in OA journal. ET 9/6/20 ",

year = "2018",

month = mar,

day = "7",

doi = "10.1186/s12889-018-5240-0",

language = "English",

volume = "18",

journal = "BMC Public Health",

issn = "1471-2458",

publisher = "BioMed Central Ltd.",

}

TY - JOUR

T1 - A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years

AU - Rosenberg, Michael

AU - Houghton, Stephen

AU - Hunter, Simon C.

AU - Zadow, Corinne

AU - Shilton, Trevor

AU - Wood, Lisa

AU - Lawrence, David

N1 - Acceptance from webpage OA article Gold exception applied - published immediate OA in OA journal. ET 9/6/20

PY - 2018/3/7

Y1 - 2018/3/7

N2 - Background: High 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.Methods: This study tracked the screen use of 1,948 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.Results: In 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.Conclusion: These results highlight the diverse nature of adolescent screen use and emphasise the need to consider both grade and sex in future research and policy.

AB - Background: High 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.Methods: This study tracked the screen use of 1,948 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.Results: In 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.Conclusion: These results highlight the diverse nature of adolescent screen use and emphasise the need to consider both grade and sex in future research and policy.

KW - adolescents

KW - electronic screen use

KW - guidelines

U2 - 10.1186/s12889-018-5240-0

DO - 10.1186/s12889-018-5240-0

M3 - Article

VL - 18

JO - BMC Public Health

JF - BMC Public Health

SN - 1471-2458

M1 - 332 (2018)

ER -

A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years

Abstract

Keywords

Documents and Links

Fingerprint

Cite this