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

Author

Listed:
  • 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
    College of Human and Social Futures, 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)

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.

Suggested Citation

  • Caizhen Ma & Jin Yan & Hejue Hu & Chongyan Shi & Feng Li & Xinyue Zeng, 2022. "Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(24), pages 1-11, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16873-:d:1004607
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    References listed on IDEAS

    as
    1. Hejun Shen & Jin Yan & Jin-Tao Hong & Cain Clark & Xian-Nan Yang & Yang Liu & Si-Tong Chen, 2020. "Prevalence of Physical Activity and Sedentary Behavior among Chinese Children and Adolescents: Variations, Gaps, and Recommendations," IJERPH, MDPI, vol. 17(9), pages 1-18, April.
    2. Dang, Anh Kim & Nathan, Nila & Le, Quynh Ngoc Hoang & Nguyen, Long Hoang & Nguyen, Huong Lan Thi & Nguyen, Cuong Tat & Do, Huyen Phuc & Nguyen, Trang Huyen Thi & Tran, Tung Thanh & Nguyen, Tuan Anh & , 2018. "Associations between internet addiction and physical activity among Vietnamese youths and adolescents," Children and Youth Services Review, Elsevier, vol. 93(C), pages 36-40.
    3. Zhenhuai Chen & Guijun Chi & Lei Wang & Sitong Chen & Jin Yan & Shihao Li, 2022. "The Combinations of Physical Activity, Screen Time, and Sleep, and Their Associations with Self-Reported Physical Fitness in Children and Adolescents," IJERPH, MDPI, vol. 19(10), pages 1-12, May.
    4. Basem Salama, 2020. "Prevalence and associated factors of Internet addiction among undergraduate students at Al-Beheira Governorate, Egypt," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(6), pages 905-910, July.
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