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A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years
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-yea...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5842609/ https://www.ncbi.nlm.nih.gov/pubmed/29514633 http://dx.doi.org/10.1186/s12889-018-5240-0 |
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author | Rosenberg, Michael Houghton, Stephen Hunter, Simon C. Zadow, Corinne Shilton, Trevor Wood, Lisa Lawrence, David |
author_facet | Rosenberg, Michael Houghton, Stephen Hunter, Simon C. Zadow, Corinne Shilton, Trevor Wood, Lisa Lawrence, David |
author_sort | Rosenberg, Michael |
collection | PubMed |
description | 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 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. 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. |
format | Online Article Text |
id | pubmed-5842609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58426092018-03-14 A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years Rosenberg, Michael Houghton, Stephen Hunter, Simon C. Zadow, Corinne Shilton, Trevor Wood, Lisa Lawrence, David BMC Public Health Research Article 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 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. 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. BioMed Central 2018-03-07 /pmc/articles/PMC5842609/ /pubmed/29514633 http://dx.doi.org/10.1186/s12889-018-5240-0 Text en © The Author(s). 2018 Open AccessThis 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. |
spellingShingle | Research Article Rosenberg, Michael Houghton, Stephen Hunter, Simon C. Zadow, Corinne Shilton, Trevor Wood, Lisa Lawrence, David A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years |
title | A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years |
title_full | A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years |
title_fullStr | A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years |
title_full_unstemmed | A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years |
title_short | A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years |
title_sort | latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5842609/ https://www.ncbi.nlm.nih.gov/pubmed/29514633 http://dx.doi.org/10.1186/s12889-018-5240-0 |
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