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Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children’s Health 2016–2017

OBJECTIVE: This study examines the association between time spent watching TV, playing video games, using a computer or handheld device (screen time), and BMI among U.S. adolescents, and potential effect modification of these associations by sex, sleep duration, and physical activity. METHODS: A sec...

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Autores principales: Bakour, Chighaf, Mansuri, Fahad, Johns-Rejano, Courtney, Crozier, Michelle, Wilson, Ronee, Sappenfield, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714705/
https://www.ncbi.nlm.nih.gov/pubmed/36454793
http://dx.doi.org/10.1371/journal.pone.0278490
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author Bakour, Chighaf
Mansuri, Fahad
Johns-Rejano, Courtney
Crozier, Michelle
Wilson, Ronee
Sappenfield, William
author_facet Bakour, Chighaf
Mansuri, Fahad
Johns-Rejano, Courtney
Crozier, Michelle
Wilson, Ronee
Sappenfield, William
author_sort Bakour, Chighaf
collection PubMed
description OBJECTIVE: This study examines the association between time spent watching TV, playing video games, using a computer or handheld device (screen time), and BMI among U.S. adolescents, and potential effect modification of these associations by sex, sleep duration, and physical activity. METHODS: A secondary analysis of 10–17-year-old participants in the 2016–2017 National Survey of Children’s Health was conducted. Multivariable logistic regression was used to examine the association between parent-reported screen time and BMI categories and effect modification by sex, sleep duration and physical activity. RESULTS: The analysis included 29,480 adolescents (49.4% female). Those with ≥1 hour (vs <1 hour) of TV/video games per day were more likely to be overweight/obese (adjusted Odds Ratio (aOR) 1–3 hours = 1.4; 95% Confidence Interval (CI)1.19, 1.65; aOR ≥4 hours = 2.19; 95% CI 1.73, 2.77). This association was stronger in adolescents who did not meet the guidelines for physical activity (aOR ≥ 4 hours = 3.04; 95% CI: 2.1, 4.4) compared with those who did (aOR ≥ 4 hours = 1.64; 95% CI: 0.72, 3.72). Using computers/handheld devices was associated with a smaller increase in odds of overweight/obesity (aOR ≥4 hours = 1.53; 95% CI:1.19, 1.97). CONCLUSION: Watching TV or playing video games for ≥1 hour per day is associated with obesity in adolescents who did not meet the guidelines for physical activity. Using computers or handheld devices seems to have a weaker association with BMI compared with TV/video games.
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spelling pubmed-97147052022-12-02 Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children’s Health 2016–2017 Bakour, Chighaf Mansuri, Fahad Johns-Rejano, Courtney Crozier, Michelle Wilson, Ronee Sappenfield, William PLoS One Research Article OBJECTIVE: This study examines the association between time spent watching TV, playing video games, using a computer or handheld device (screen time), and BMI among U.S. adolescents, and potential effect modification of these associations by sex, sleep duration, and physical activity. METHODS: A secondary analysis of 10–17-year-old participants in the 2016–2017 National Survey of Children’s Health was conducted. Multivariable logistic regression was used to examine the association between parent-reported screen time and BMI categories and effect modification by sex, sleep duration and physical activity. RESULTS: The analysis included 29,480 adolescents (49.4% female). Those with ≥1 hour (vs <1 hour) of TV/video games per day were more likely to be overweight/obese (adjusted Odds Ratio (aOR) 1–3 hours = 1.4; 95% Confidence Interval (CI)1.19, 1.65; aOR ≥4 hours = 2.19; 95% CI 1.73, 2.77). This association was stronger in adolescents who did not meet the guidelines for physical activity (aOR ≥ 4 hours = 3.04; 95% CI: 2.1, 4.4) compared with those who did (aOR ≥ 4 hours = 1.64; 95% CI: 0.72, 3.72). Using computers/handheld devices was associated with a smaller increase in odds of overweight/obesity (aOR ≥4 hours = 1.53; 95% CI:1.19, 1.97). CONCLUSION: Watching TV or playing video games for ≥1 hour per day is associated with obesity in adolescents who did not meet the guidelines for physical activity. Using computers or handheld devices seems to have a weaker association with BMI compared with TV/video games. Public Library of Science 2022-12-01 /pmc/articles/PMC9714705/ /pubmed/36454793 http://dx.doi.org/10.1371/journal.pone.0278490 Text en © 2022 Bakour et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bakour, Chighaf
Mansuri, Fahad
Johns-Rejano, Courtney
Crozier, Michelle
Wilson, Ronee
Sappenfield, William
Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children’s Health 2016–2017
title Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children’s Health 2016–2017
title_full Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children’s Health 2016–2017
title_fullStr Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children’s Health 2016–2017
title_full_unstemmed Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children’s Health 2016–2017
title_short Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children’s Health 2016–2017
title_sort association between screen time and obesity in us adolescents: a cross-sectional analysis using national survey of children’s health 2016–2017
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714705/
https://www.ncbi.nlm.nih.gov/pubmed/36454793
http://dx.doi.org/10.1371/journal.pone.0278490
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