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Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study
Objective: This study aimed to explore the relationship between 24-h activity behavior and Chinese adolescents’ Internet addiction. Methods: A survey of 2045 adolescents (56.5% boys) was conducted, and adolescents’ 24-h movement behavior and Internet addiction were measured via a questionnaire. Desc...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779407/ https://www.ncbi.nlm.nih.gov/pubmed/36554753 http://dx.doi.org/10.3390/ijerph192416873 |
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author | Ma, Caizhen Yan, Jin Hu, Hejue Shi, Chongyan Li, Feng Zeng, Xinyue |
author_facet | Ma, Caizhen Yan, Jin Hu, Hejue Shi, Chongyan Li, Feng Zeng, Xinyue |
author_sort | Ma, Caizhen |
collection | PubMed |
description | Objective: This study aimed to explore the relationship between 24-h activity behavior and Chinese adolescents’ Internet addiction. Methods: A survey of 2045 adolescents (56.5% boys) was conducted, and adolescents’ 24-h movement behavior and Internet addiction were measured via a questionnaire. Descriptive statistics were used to analyze the basic situation of the respondents; chi-square analysis was used to compare gender differences, and logistic regression was used to analyze the relationship between 24-h exercise guide entries and Internet addiction. Results: From the number of 24-h movement behavior guides, 25.3% of the children did not meet the recommended amount of any kind of activity behavior guide, while 50.4% and 21.7% of the children reached the recommended amount of one and two activity behavior guidelines, respectively; only 3.2% of the children met the recommended amount of all three activity behavior guidelines. Adolescents who did not meet the recommended 24-h activity behavior guidelines were more likely to have Internet addiction (OR = 8.46, 95 CI = 3.06–23.36), and were more likely to have one item (OR = 4.50, 95 CI = 1.64–12.39) or two items (OR = 3.12, 95 CI = 1.11–8.74). Conclusions: Physical activity, static behavior, and sleep may all have a greater impact on adolescents’ Internet addiction, among which physical activity has a greater impact on adolescents’ Internet addiction. Different combinations of 24-h movement behavior have different effects on adolescents’ Internet addiction. |
format | Online Article Text |
id | pubmed-9779407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97794072022-12-23 Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study Ma, Caizhen Yan, Jin Hu, Hejue Shi, Chongyan Li, Feng Zeng, Xinyue Int J Environ Res Public Health Article Objective: This study aimed to explore the relationship between 24-h activity behavior and Chinese adolescents’ Internet addiction. Methods: A survey of 2045 adolescents (56.5% boys) was conducted, and adolescents’ 24-h movement behavior and Internet addiction were measured via a questionnaire. Descriptive statistics were used to analyze the basic situation of the respondents; chi-square analysis was used to compare gender differences, and logistic regression was used to analyze the relationship between 24-h exercise guide entries and Internet addiction. Results: From the number of 24-h movement behavior guides, 25.3% of the children did not meet the recommended amount of any kind of activity behavior guide, while 50.4% and 21.7% of the children reached the recommended amount of one and two activity behavior guidelines, respectively; only 3.2% of the children met the recommended amount of all three activity behavior guidelines. Adolescents who did not meet the recommended 24-h activity behavior guidelines were more likely to have Internet addiction (OR = 8.46, 95 CI = 3.06–23.36), and were more likely to have one item (OR = 4.50, 95 CI = 1.64–12.39) or two items (OR = 3.12, 95 CI = 1.11–8.74). Conclusions: Physical activity, static behavior, and sleep may all have a greater impact on adolescents’ Internet addiction, among which physical activity has a greater impact on adolescents’ Internet addiction. Different combinations of 24-h movement behavior have different effects on adolescents’ Internet addiction. MDPI 2022-12-15 /pmc/articles/PMC9779407/ /pubmed/36554753 http://dx.doi.org/10.3390/ijerph192416873 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ma, Caizhen Yan, Jin Hu, Hejue Shi, Chongyan Li, Feng Zeng, Xinyue Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study |
title | Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study |
title_full | Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study |
title_fullStr | Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study |
title_full_unstemmed | Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study |
title_short | Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study |
title_sort | associations between 24-h movement behavior and internet addiction in adolescents: a cross-sectional study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779407/ https://www.ncbi.nlm.nih.gov/pubmed/36554753 http://dx.doi.org/10.3390/ijerph192416873 |
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