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Different Types of Screen Behavior and Depression in Children and Adolescents

The purpose of this study was to examine the associations between different types of screen behavior and depression, taking into account exercise and sleep among children and adolescents. A total of 23,573 Japanese children and adolescents (aged 8–15 years) participated in this cross-sectional study...

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Autores principales: Kidokoro, Tetsuhiro, Shikano, Akiko, Tanaka, Ryo, Tanabe, Kosuke, Imai, Natsuko, Noi, Shingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819072/
https://www.ncbi.nlm.nih.gov/pubmed/35141183
http://dx.doi.org/10.3389/fped.2021.822603
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author Kidokoro, Tetsuhiro
Shikano, Akiko
Tanaka, Ryo
Tanabe, Kosuke
Imai, Natsuko
Noi, Shingo
author_facet Kidokoro, Tetsuhiro
Shikano, Akiko
Tanaka, Ryo
Tanabe, Kosuke
Imai, Natsuko
Noi, Shingo
author_sort Kidokoro, Tetsuhiro
collection PubMed
description The purpose of this study was to examine the associations between different types of screen behavior and depression, taking into account exercise and sleep among children and adolescents. A total of 23,573 Japanese children and adolescents (aged 8–15 years) participated in this cross-sectional study. Different types of screen behavior, weekly exercise time, sleep duration, and prevalence of depression were assessed using a questionnaire. Independent associations between various types of screen behavior and prevalence of depression were examined using logistic regression analyses after adjusting for age, school, sleep duration, exercise time, and other screen behavior types. A two-way analysis of covariance was conducted to examine whether exercise and sleep can attenuate the negative effects of screen behavior. The associations between screen behavior and depression varied by screen behavior types and participant characteristics. More time spent engaging in newer types of screen behavior, including social media, online games, and online videos, was associated with a higher prevalence of depression. In contrast, more time spent on TV was associated with a lower prevalence of depression. Sufficient exercise can lower the prevalence of depression, regardless of the length of time and content of the screen, and its associations were particularly significant for junior high school girls. Sleep was not associated with the prevalence of depression among any participant group except elementary school boys. Our findings suggest that age- and sex-specific intervention strategies that also consider screen-based behavior can effectively lower the risk of depression in children and adolescents.
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spelling pubmed-88190722022-02-08 Different Types of Screen Behavior and Depression in Children and Adolescents Kidokoro, Tetsuhiro Shikano, Akiko Tanaka, Ryo Tanabe, Kosuke Imai, Natsuko Noi, Shingo Front Pediatr Pediatrics The purpose of this study was to examine the associations between different types of screen behavior and depression, taking into account exercise and sleep among children and adolescents. A total of 23,573 Japanese children and adolescents (aged 8–15 years) participated in this cross-sectional study. Different types of screen behavior, weekly exercise time, sleep duration, and prevalence of depression were assessed using a questionnaire. Independent associations between various types of screen behavior and prevalence of depression were examined using logistic regression analyses after adjusting for age, school, sleep duration, exercise time, and other screen behavior types. A two-way analysis of covariance was conducted to examine whether exercise and sleep can attenuate the negative effects of screen behavior. The associations between screen behavior and depression varied by screen behavior types and participant characteristics. More time spent engaging in newer types of screen behavior, including social media, online games, and online videos, was associated with a higher prevalence of depression. In contrast, more time spent on TV was associated with a lower prevalence of depression. Sufficient exercise can lower the prevalence of depression, regardless of the length of time and content of the screen, and its associations were particularly significant for junior high school girls. Sleep was not associated with the prevalence of depression among any participant group except elementary school boys. Our findings suggest that age- and sex-specific intervention strategies that also consider screen-based behavior can effectively lower the risk of depression in children and adolescents. Frontiers Media S.A. 2022-01-24 /pmc/articles/PMC8819072/ /pubmed/35141183 http://dx.doi.org/10.3389/fped.2021.822603 Text en Copyright © 2022 Kidokoro, Shikano, Tanaka, Tanabe, Imai and Noi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Kidokoro, Tetsuhiro
Shikano, Akiko
Tanaka, Ryo
Tanabe, Kosuke
Imai, Natsuko
Noi, Shingo
Different Types of Screen Behavior and Depression in Children and Adolescents
title Different Types of Screen Behavior and Depression in Children and Adolescents
title_full Different Types of Screen Behavior and Depression in Children and Adolescents
title_fullStr Different Types of Screen Behavior and Depression in Children and Adolescents
title_full_unstemmed Different Types of Screen Behavior and Depression in Children and Adolescents
title_short Different Types of Screen Behavior and Depression in Children and Adolescents
title_sort different types of screen behavior and depression in children and adolescents
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819072/
https://www.ncbi.nlm.nih.gov/pubmed/35141183
http://dx.doi.org/10.3389/fped.2021.822603
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