Association between Problematic Smartphone Use and Physical Activity among Adolescents: A Path Analysis Based on the 2020 Korea Youth Risk Behavior Web-Based Survey
1
조회
0
다운로드
5
인용
0
참고문헌
키워드
초록
Background: Physical activity is known to prevent several diseases and positively affect mental health. Previous studies have shown that smartphone addiction negatively affects the physical activity of children and adolescents. This study aimed to investigate the relationship between problematic smartphone use and physical activity among adolescents and the related factors using path analysis.Methods: Using data from the 16th Youth Risk Behavior Web-based Survey from 2020, scores on the Smartphone Addiction Scale—Short Version for Adolescents, physical activity, sex, socioeconomic status (SES), academic per-formance, depression, smoking, drinking, and sitting time were assessed. Complex sampling and path analyses were performed.Results: Of the total 54,948 students, 25.5% were smartphone risk users, including potential and high-risk users. The direct path coefficients of each factor indicated that female sex (-0.14 for male), low SES (-0.062), high academ-ic performance (0.056), low sitting time for studying purposes (-0.033), high sitting time for non-studying purposes (0.071), and depressive mood (0.130) were related to problematic smartphone use (all P<0.001). Each factor affect-ed problematic smartphone use, and subsequently had a negative effect on the amount of physical activity, with a direct path coefficient of -0.115 (P<0.001).Conclusion: In this study, we confirmed that problematic smartphone use among adolescents was negatively as-sociated with performing an adequate amount of physical activity and that various factors, such as sex, SES, aca-demic performance, and sitting time, directly and indirectly affected this relationship.
Abstract
Background: Physical activity is known to prevent several diseases and positively affect mental health. Previous studies have shown that smartphone addiction negatively affects the physical activity of children and adolescents. This study aimed to investigate the relationship between problematic smartphone use and physical activity among adolescents and the related factors using path analysis.Methods: Using data from the 16th Youth Risk Behavior Web-based Survey from 2020, scores on the Smartphone Addiction Scale—Short Version for Adolescents, physical activity, sex, socioeconomic status (SES), academic per-formance, depression, smoking, drinking, and sitting time were assessed. Complex sampling and path analyses were performed.Results: Of the total 54,948 students, 25.5% were smartphone risk users, including potential and high-risk users. The direct path coefficients of each factor indicated that female sex (-0.14 for male), low SES (-0.062), high academ-ic performance (0.056), low sitting time for studying purposes (-0.033), high sitting time for non-studying purposes (0.071), and depressive mood (0.130) were related to problematic smartphone use (all P<0.001). Each factor affect-ed problematic smartphone use, and subsequently had a negative effect on the amount of physical activity, with a direct path coefficient of -0.115 (P<0.001).Conclusion: In this study, we confirmed that problematic smartphone use among adolescents was negatively as-sociated with performing an adequate amount of physical activity and that various factors, such as sex, SES, aca-demic performance, and sitting time, directly and indirectly affected this relationship.
참고문헌 (15)
- 2018 Physical Activity Guidelines Advisory Committee Scientific Report, "Physical Activity Guidelines Advisory Committee", US Department of Health and Human Services, ~ (2018)
- Poitras VJ, "Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth", Appl Physiol Nutr Metab, 41(6 Suppl 3), pp.S197~S239 (2016)
- Carson V, "Systematic review of sedentary behaviour and health indicators in school-aged children and youth : an update", Appl Physiol Nutr Metab, 41(6 Suppl 3), pp.S240~65 (2016)
- Okely AD, "Australian 24-hour movement guidelines for children (5-12 years) and young people (13-17 years): an integration of physical activity, sedentary behaviour, and sleep" (2019), Australian Government, Department of Health
- Hoare E, "The associations between sedentary behaviour and mental health among adolescents : a systematic review", Int J Behav Nutr Phys Act, 13, pp.108~ (2016)
- The survey on smartphone over-dependence, 2021, "Ministry of Science and ICT", Ministry of Science and ICT, ~ (2021)
- Kim SE, "Relationship between smartphone addiction and physical activity in Chinese international students in Korea", J Behav Addict, 4, pp.200~205 (2015)
- Buke M, "The effect of smartphone addiction on physical activity level in sports science undergraduates", J Bodyw Mov Ther, 28, pp.530~534 (2021)
- Kuss DJ, "Online social networking and addiction : a review of the psychological literature", Int J Environ Res Public Health, 8, pp.3528~3552 (2011)
- Khan MM, "Adverse effects of excessive mobile phone use", Int J Occup Med Environ Health, 21, pp.289~293 (2008)
- Roberts JA, "The invisible addiction : cell-phone activities and addiction among male and female college students", J Behav Addict, 3, pp.254~265 (2014)
- Smetaniuk P, "A preliminary investigation into the prevalence and prediction of problematic cell phone use", J Behav Addict, 3, pp.41~53 (2014)
- Kim SG, "The relationship between smartphone addiction and symptoms of depression, anxiety, and attention-deficit", hyperactivity in South Korean adolescents, 2019, pp.18, 1~
- Kwon M, "Development and validation of a smartphone addiction scale(SAS)", PLoS One, 8, pp.e56936~ (2013)
- Lepp A, "The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U. S. college students", Int J Behav Nutr Phys Act, 10, pp.79~ (2013)
