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Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study

Caizhen Ma, Jin Yan, Hejue Hu, Chongyan Shi, Feng Li and Xinyue Zeng ()
Additional contact information
Caizhen Ma: School of Physical Education, Shanxi Normal University, Linfen 041081, China
Jin Yan: Centre for Active Living and Learning, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
Hejue Hu: Library of Beijing Sport University, Beijing 100084, China
Chongyan Shi: School of Physical Education and Humanity, Nanjing Sport Institute, Nanjing 210014, China
Feng Li: China Basketball College, Beijing Sport University, Beijing 100084, China
Xinyue Zeng: Faculty of Physical Education, China West Normal University, Nanchong 637000, China

IJERPH, 2022, vol. 19, issue 24, 1-11

Abstract: 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.

Keywords: internet addiction; 24-h movement behavior; adolescents; youths; cross-sectional study (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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