Health Risk Behaviors Affecting Internet Usage in Adolescents: Evidence from the 2018 Korea Youth Risk Behavior Web-Based Survey
Abstract
Background: The purpose of this cross-sectional study was to assess the effects of health risk behaviors on the daily Internet usage of Korean high school students.
Methods: The data of 19,830 high school students who responded to the Korea Youth Risk Behavior Web-based Survey were analyzed from June to July 2018.
Results: The mean daily Internet usage of high school students was 193.3±125.7 minutes. There were differences in daily Internet usage according to body mass index, grade level, school type, academic achievement, economic status, physical activity, number of physical education classes attended, safety accidents, and safety education (p<.05). Daily Internet usage also differed according to health risk behaviors, including smoking (t=8.32), alcohol consumption (t=9.36), drug use (t=4.51), and risky sexual behaviors (t=5.94). The daily Internet usage of students significantly increased in the absence of physical activity and with health risk behaviors such as smoking, alcohol consumption, drug use, and risky sexual behaviors.
Conclusion: It is necessary to develop an intervention program and provide education on increasing physical activity and reducing health risk behaviors for the proper management of health and Internet usage in adolescents.
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2. Korea Ministry of Science and ICT (2019). The survey on smartphone overdependence. Ministry of Science and Technology Information and Communication. In: National information society agency.
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4. Cao H, Sun Y, Wan Y, Hao J, Tao F (2011). Problematic Internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction. BMC Public Health, 11(1):802-10.
5. Günlü A, Ceyhan AA (2017). Ergenlerde internet ve problemli internet kullanım davranışının incelenmesi. ADDICTA, 4(1):75-117.
6. Yoo YS, Cho OH, Cha KS (2014). Associations between overuse of the internet and mental health in adolescents. Nurs Health Sci, 16(2):193-200.
7. Castellacci F, Tveito V (2018). Internet use and well-being: A survey and a theoretical framework. Res Policy, 47(1):308-25.
8. James JE, Kristjánsson ÁL, Sigfúsdóttir ID (2011). Adolescent substance use, sleep, and academic achievement: Evidence of harm due to caffeine. J Adolesc, 34(4):665-73.
9. Durkee T, Carli V, Floderus B, et al (2016). Pathological internet use and risk-behaviors among European adolescents. Int J Environ Res Public Health, 13(3):294.
10. Kim EG (2015). The relationship between internet use and health behaviors among adolescents. J Korean Acad Community Health Nurs, 26(1):52-60.
11. Jiang Q, Huang X, Tao R (2018). Examining factors influencing internet addiction and adolescent risk behaviors among excessive internet users. Health Commun, 33(12):1434-44.
12. Hale DR, Viner RM (2016). The correlates and course of multiple health risk behaviour in adolescence. BMC Public Health, 16(1):1-12.
13. Fisoun V, Floros G, Siomos K, Geroukalis D, Navridis K (2012). Internet addiction as an important predictor in early detection of adolescent drug use experience—implications for research and practice. J Addict Med, 6(1):77-84.
14. Yen CF, Hsiao RC, Ko CH, et al (2010). The relationships between body mass index and television viewing, internet use and cellular phone use: The moderating effects of socio‐demographic characteristics and exercise. Int J Eat Disord, 43(6):565-71.
15. Yun Y-D, Ji H-S, Lim H-S (2016). A study on the analysis of factors that influence Internet usage of adolescence. JKAIE, 19(5):55-71.
16. Kenney EL, Gortmaker SL (2017). United States adolescents' television, computer, videogame, smartphone, and tablet use: associations with sugary drinks, sleep, physical activity, and obesity. J Pediatr, 182:144-9.
17. Ministry of Education, Ministry of Health and Welfare, Korea Center for Disease Control and Prevention (2018). The Tenth Korea Youth Risk Behavior Web-based Survey, 2018. In: Ministry of Education, Ministry of Health and Welfare, Korea Center for Disease Control and Prevention.
18. Twenge JM, Martin GN, Spitzberg BH (2019). Trends in US Adolescents’ media use, 1976–2016: The rise of digital media, the decline of TV, and the (near) demise of print. Psychol Pop Media Cult, 8(4):329.
19. Stavropoulos V, Alexandraki K, Motti-Stefanidi F (2013). Recognizing internet addiction: prevalence and relationship to academic achievement in adolescents enrolled in urban and rural Greek high schools. J Adolesc, 36(3):565-76.
20. Lee MS, Choi HJ, Kim MH, Park YJ (2012). The influence of school safety education on safety awareness of students-based on study of elementary, middle, and high schools in Chung-nam. JKSSCHE, 13(2):93-105.
21. Cho IS, Jung PW (2015). A critical analysis of safety education in school. J Hum Rights Law-relat Educ, 8(2):43-64.
22. Shiroma EJ, Lee I-M (2010). Physical activity and cardiovascular health: lessons learned from epidemiological studies across age, gender, and race/ethnicity. Circulation, 122(7):743-52.
23. Canan F, Yildirim O, Ustunel TY, et al (2014). The relationship between internet addiction and body mass index in Turkish adolescents. Cyberpsychol Behav Soc Netw, 17(1):40-5.
24. Kristjánsson ÀL (2011). Building the basis for primary prevention: factors related to cigarette smoking and alcohol use among adolescents.(Så hindrar vi unga från att börja röka och dricka alkohol). Soc Med Tidskr, 88(1):88-9.
25. Dunn MS (2014). Association between physical activity and substance use behaviors among high school students participating in the 2009 Youth risk behavior survey. Psychol Rep, 114(3):675-85.
26. Jackson C, Sweeting H, Haw S (2012). Clustering of substance use and sexual risk behaviour in adolescence: analysis of two cohort studies. BMJ Open, 2(1):e000661.
27. Kim J, Kwak J (2017). The effects of adolescent smartphone addiction on sexual assault and the mediating effects of exposure to harmful Internet media. Stud Korean Youth, 28(7):255-83.
28. Svedin CG, Åkerman I, Priebe G (2011). Frequent users of pornography. A population based epidemiological study of Swedish male adolescents. J Adolesc, 34(4):779-88.
2. Korea Ministry of Science and ICT (2019). The survey on smartphone overdependence. Ministry of Science and Technology Information and Communication. In: National information society agency.
3. Moon JH, Jeon MJ, Song ES (2019). Influences of smartphone overuse on health and academic impairment in adolescents: using data from Korea youth risk behavior web-based survey of 2017. J KOEN, 13(2):177-86.
4. Cao H, Sun Y, Wan Y, Hao J, Tao F (2011). Problematic Internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction. BMC Public Health, 11(1):802-10.
5. Günlü A, Ceyhan AA (2017). Ergenlerde internet ve problemli internet kullanım davranışının incelenmesi. ADDICTA, 4(1):75-117.
6. Yoo YS, Cho OH, Cha KS (2014). Associations between overuse of the internet and mental health in adolescents. Nurs Health Sci, 16(2):193-200.
7. Castellacci F, Tveito V (2018). Internet use and well-being: A survey and a theoretical framework. Res Policy, 47(1):308-25.
8. James JE, Kristjánsson ÁL, Sigfúsdóttir ID (2011). Adolescent substance use, sleep, and academic achievement: Evidence of harm due to caffeine. J Adolesc, 34(4):665-73.
9. Durkee T, Carli V, Floderus B, et al (2016). Pathological internet use and risk-behaviors among European adolescents. Int J Environ Res Public Health, 13(3):294.
10. Kim EG (2015). The relationship between internet use and health behaviors among adolescents. J Korean Acad Community Health Nurs, 26(1):52-60.
11. Jiang Q, Huang X, Tao R (2018). Examining factors influencing internet addiction and adolescent risk behaviors among excessive internet users. Health Commun, 33(12):1434-44.
12. Hale DR, Viner RM (2016). The correlates and course of multiple health risk behaviour in adolescence. BMC Public Health, 16(1):1-12.
13. Fisoun V, Floros G, Siomos K, Geroukalis D, Navridis K (2012). Internet addiction as an important predictor in early detection of adolescent drug use experience—implications for research and practice. J Addict Med, 6(1):77-84.
14. Yen CF, Hsiao RC, Ko CH, et al (2010). The relationships between body mass index and television viewing, internet use and cellular phone use: The moderating effects of socio‐demographic characteristics and exercise. Int J Eat Disord, 43(6):565-71.
15. Yun Y-D, Ji H-S, Lim H-S (2016). A study on the analysis of factors that influence Internet usage of adolescence. JKAIE, 19(5):55-71.
16. Kenney EL, Gortmaker SL (2017). United States adolescents' television, computer, videogame, smartphone, and tablet use: associations with sugary drinks, sleep, physical activity, and obesity. J Pediatr, 182:144-9.
17. Ministry of Education, Ministry of Health and Welfare, Korea Center for Disease Control and Prevention (2018). The Tenth Korea Youth Risk Behavior Web-based Survey, 2018. In: Ministry of Education, Ministry of Health and Welfare, Korea Center for Disease Control and Prevention.
18. Twenge JM, Martin GN, Spitzberg BH (2019). Trends in US Adolescents’ media use, 1976–2016: The rise of digital media, the decline of TV, and the (near) demise of print. Psychol Pop Media Cult, 8(4):329.
19. Stavropoulos V, Alexandraki K, Motti-Stefanidi F (2013). Recognizing internet addiction: prevalence and relationship to academic achievement in adolescents enrolled in urban and rural Greek high schools. J Adolesc, 36(3):565-76.
20. Lee MS, Choi HJ, Kim MH, Park YJ (2012). The influence of school safety education on safety awareness of students-based on study of elementary, middle, and high schools in Chung-nam. JKSSCHE, 13(2):93-105.
21. Cho IS, Jung PW (2015). A critical analysis of safety education in school. J Hum Rights Law-relat Educ, 8(2):43-64.
22. Shiroma EJ, Lee I-M (2010). Physical activity and cardiovascular health: lessons learned from epidemiological studies across age, gender, and race/ethnicity. Circulation, 122(7):743-52.
23. Canan F, Yildirim O, Ustunel TY, et al (2014). The relationship between internet addiction and body mass index in Turkish adolescents. Cyberpsychol Behav Soc Netw, 17(1):40-5.
24. Kristjánsson ÀL (2011). Building the basis for primary prevention: factors related to cigarette smoking and alcohol use among adolescents.(Så hindrar vi unga från att börja röka och dricka alkohol). Soc Med Tidskr, 88(1):88-9.
25. Dunn MS (2014). Association between physical activity and substance use behaviors among high school students participating in the 2009 Youth risk behavior survey. Psychol Rep, 114(3):675-85.
26. Jackson C, Sweeting H, Haw S (2012). Clustering of substance use and sexual risk behaviour in adolescence: analysis of two cohort studies. BMJ Open, 2(1):e000661.
27. Kim J, Kwak J (2017). The effects of adolescent smartphone addiction on sexual assault and the mediating effects of exposure to harmful Internet media. Stud Korean Youth, 28(7):255-83.
28. Svedin CG, Åkerman I, Priebe G (2011). Frequent users of pornography. A population based epidemiological study of Swedish male adolescents. J Adolesc, 34(4):779-88.
| Files | ||
| Issue | Vol 51 No 7 (2022) | |
| Section | Original Article(s) | |
| DOI | https://doi.org/10.18502/ijph.v51i7.10089 | |
| Keywords | ||
| Internet usage Adolescents Health risk behavior | ||
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Kwak Y, Kim H, Ahn J-W. Health Risk Behaviors Affecting Internet Usage in Adolescents: Evidence from the 2018 Korea Youth Risk Behavior Web-Based Survey. Iran J Public Health. 2022;51(7):1559-1567.
