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İnternetin Ergenler Üzerindeki Etkisi: Bir Karma Yöntem Çalışması

Year 2022, Volume: 16 Issue: 4, 711 - 724, 23.12.2022
https://doi.org/10.21763/tjfmpc.1126222

Abstract

Giriş: İnternet bağımlılığı, teknolojik gelişmelerin bir sonucu olarak önemli bir halk sağlığı sorunudur. Bu çalışmanın amacı, problemli internet kullanımı olan ergenlerde internetin etkilerini belirlemektir. Yöntem: Bu çalışmada karma yöntem kullanılmıştır. Toplam örneklem büyüklüğü 349 ortaokul öğrencisidir. Araştırma görüşme grubu 60 öğrenciden oluşmaktadır. Veriler odak grup yöntemiyle toplanmıştır. Nicel verilerin analizinde tanımlayıcı istatistikler ve ki-kare analizi, nitel verilerin analizinde tematik analiz kullanılmıştır. Bulgular: Tüm öğrencilerin toplam internet bağımlılığı skor ortalaması 35,63(4,44)'tür. İnternet skor ortalaması <30 olan öğrencilerin puan ortalaması 19.03(5.66), internet skor ortalaması ≥30 olan öğrenciler için puan ortalaması 22.17(8.49) 'dir. Üç ana tema belirlenmiştir. Bunlar 'sorunlu internet kullanımına giden yol', 'internetin etkileri' ve 'güvenli internet'tir. Sonuç: Bu çalışmada üç temaya ilişkin olarak çocukların bakış açısından internetin bilgiye erişim açısından faydalı olduğu görülmüştür. Ancak sonuçlar, çocukların internette risklere maruz kaldığını da göstermiştir. Araştırma sonuçları kapsamında hemşireler çocukların internete kontrolsüz erişimlerine neden olan faktörleri belirleyebilir. Ayrıca gereksinimler doğrultusunda müdahaleler planlanabilir.

References

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  • 3. Kuss DJ, Griffiths MD, Karila L, Billieux J. Internet addiction: a systematic review of epidemiological research for the last decade. Curr Pharm Des. 2014;20(25):4026-4052. doi:10.2174/13816128113199990617
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  • 6. Turkey Statistical Institute. Household Information Technologies (IT) Usage Survey, 2021. Accessed from: https://data.tuik.gov.tr/Bulten/Index?p=Survey-on-Information-and-Communication-Technology-(ICT)-Usage-in-Households-and-by-Individuals-2021-37437 Accessed date: October 16, 2021.
  • 7. Karaer Y, Akdemir D. Parenting styles, perceived social support and emotion regulation in adolescents with internet addiction. Compr Psychiatry. 2019;92:22-27. doi:10.1016/j.comppsych.2019.03.003
  • 8. Pan YC, Chiu YC, Lin YH. Systematic review and meta-analysis of epidemiology of internet addiction. Neurosci Biobehav Rev. 2020;118:612-622. doi:10.1016/j.neubiorev.2020.08.013
  • 9. Kaur N, Ahmad Y. The factor of availability facilities at home and compulsive internet use among primary school students. Journal of Physics Conference Series, 2020; 1529: 032075. doi:10.1088/1742-6596/1529/3/032075.
  • 10. Miltuze A, Sebre SB, Martinsone B. Consistent and appropriate parental restrictions mitigating against children's compulsive internet use: a one-year longitudinal study. Tech Know Learn 2021;26: 883-895. doi: 10.1007/ s10758-020-09472-4.
  • 11. Spence SH, Zubrick SR, Lawrence D. A profile of social, separation and generalized anxiety disorders in an Australian nationally representative sample of children and adolescents: Prevalence, comorbidity and correlates. Aust N Z J Psychiatry. 2018;52(5):446-460. doi:10.1177/0004867417741981
  • 12. Otsuka Y, Kaneita Y, Itani O, Jike M, Osaki Y, Higuchi S, Kanda H, Kinjo A, Kuwabara Y, Yoshimoto H. Skipping breakfast, poor sleep quality, and Internet usage and their relation with unhappiness in Japanese adolescents. PLoS One. 2020;15(7):e0235252. doi: 10.1371/journal.pone.0235252.
  • 13. Achterhof, R., Kirtley, O. J., Schneider, M., Hagemann, N., Hermans, K. S., Hiekkaranta, A. P., et al. Adolescents’ real-time social and affective experiences of online and face-to-face interactions. Computers in Human Behavior, 2022;129, 107159. doi.org/10.1016/j.chb. 2021.107159
  • 14. Evli, M, Şimşek N, Işıkgöz M, Öztürk Hİ. Internet addiction, insomnia, and violence tendency in adolescents. International Journal of Social Psychiatry. April 2022. doi:10.1177/00207640221090964.
  • 15. Zeichner O. The impact of safe internet intervention programs on pupils. British Journal of Educational Technology 2020;16(3):34-43. doi: 10.26634/jet. 16.3.16572.
  • 16. Dursun OB. Turkey Fighting Addiction Education Program (5th Edition), Durmus A., Durmuş H.I. (eds), Culture and Art Publishing House, İstanbul, Turkey, 2015; p. 4-6. (in Turkish).
  • 17. Erden S. Hatun O. The use of cognitive-behavioral therapy in coping with internet addiction: a case study. Addicta: The Turkish Journal on Addictions, 2015; 2(1), 53-83. doi: 10.15805/addicta.2015.2.1.015
  • 18. Zhang X, Shi X, Xu S, Qiu J, Turel O, He Q. The effect of solution-focused group counseling intervention on college students' internet addiction: a pilot study. Int J Environ Res Public Health. 2020;17(7):2519. doi:10.3390/ijerph17072519
  • 19. Şahin M, Sarı SV, Özer, Ö Er, SH. High school students’ views about their cyber bully behaviours and self-exposition. Süleyman Demirel University Faculty of Arts and Sciences Journal of Social Sciences, 2010;21:257-270. (in Turkish).
  • 20. Hernán-García M, Botello-Díaz B, Marcos-Marcos J, Toro-Cárdenas S, Gil-García E. Understanding children: a qualitative study on health assets of the Internet in Spain. Int J Public Health. 2015;60(2):239-247. doi:10.1007/s00038-015-0648-0
  • 21. Li W, O'Brien JE, Snyder SM, Howard MO. Characteristics of internet addiction/pathological internet use in U.S. university students: a qualitative-method investigation. PLoS One. 2015;10(2):e0117372. Published 2015 Feb 3. doi:10.1371/journal.pone.0117372
  • 22. Throuvala, M.A., Griffiths, M.D., Rennoldson, M, Kuss, DJ. Motivational processes and dysfunctional mechanisms of social media use among adolescents: A qualitative focus group study. Computers in Human Behavior, 2019; 93: 164-175. doi: 10.1016 / j.chb.2018.12.012.
  • 23. Peters A, El-Ghaziri M, Quinn B, Simons S, Taylor R. An exploratory study of bullying exposure among school nurses: prevalence and impact. J Sch Nurs. 2021;37(6):449-459. doi:10.1177/1059840519897308
  • 24. Creswell JW. Research Design: Qualitative, Quantitative and Mixed Methods Approaches, 4th ed. Sage Publication, California., 2014, p. 264-288.
  • 25. Creswell JW, Poth CN. Qualitative Inquiry and Research Design: Choosing among Five Approaches, 4th ed. SAGE, Thousand Oaks.,2018, p.253-287.
  • 26. Pawlikowski, M, Altstötter-Gleich C, Brand, M. Validation and psychometric properties of a short version of Young’s Internet Addiction Test. Computers in Human Behavior, 2013; 29(3), 1212-1223. doi: 10.1016/j.chb.2012.10.014.
  • 27. Kutlu, M., Savcı, M., Demir, Y., Aysan, F. Turkish adaptation of Young’s Internet Addiction Test-Short Form: a reliability and validity study on university students and adolescents. Anatolian Journal of Psychiatry, 2016; 17(1), 69-76. doi: 10. 5455/apd.190501.
  • 28. Hennink MM, Kaiser BN, Weber MB. What influences saturation? estimating sample sizes in focus group research. Qual Health Res. 2019;29(10):1483-1496. doi:10.1177/1049732318821692
  • 29. Hancock ME, Amankwaa L, Revell MA, Mueller D. Focus group data saturation: a new approach to data analysis. Qualitative Report, 2016; 21 (11), 2124-2130.
  • 30. Braun V Clarke V. To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales. Qualitative Research in Sport, Exercise and Health, 2019; 13 (2), 201-216. doi: 10.1080/2159676X. 2019.1704846.
  • 31. Paulus FW, Ohmann S, von Gontard A, Popow C. Internet gaming disorder in children and adolescents: a systematic review. Dev Med Child Neurol. 2018;60(7):645-659. doi:10.1111/dmcn.13754
  • 32. Kilic M, Avci D, Uzuncakmak T. Internet addiction in high school students in turkey and multivariate analyses of the underlying factors. J Addict Nurs. 2016;27(1):39-46. doi:10.1097/JAN.0000000000000110
  • 33. Yılmaz E, Yel S, Grifftiths MD. The impact of heavy (excessive) video gaming students on peers and teachers in the school environment: a qualitative study. ADDICTA: The Turkish Journal on Addictions, 2018; 5(2):147-161. doi: 10.1580 5/addicta.2018. 5.2.0035.
  • 34. Colder Carras M, Van Rooij AJ, Van de Mheen D, Musci R, Xue QL, Mendelson T. Video gaming in a hyperconnected world: a cross-sectional study of heavy gaming, problematic gaming symptoms, and online socializing in adolescents. Comput Human Behav. 2017;68:472-479. doi:10.1016/j.chb.2016.11.060
  • 35. Peris M, de la Barrera U, Schoeps K, Montoya-Castilla I. Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents. Int J Environ Res Public Health. 2020;17(12):4598. doi:10.3390/ijerph17124598
  • 36. Saikia AM, Das J, Barman P, Bharali MD. Internet Addiction and its Relationships with Depression, Anxiety, and Stress in Urban Adolescents of Kamrup District, Assam. J Family Community Med. 2019;26(2):108-112. doi:10.4103/jfcm. JFCM_93_18
  • 37. Bener A, Yildirim E, Torun P, Çatan F, Bolat E, Alıç S, et al. Internet addiction, fatigue, and sleep problems among adolescent students: a large-scale study. International Journal of Mental Health and Addiction, 2019; 17(4), 959-969. doi: 10.1007/s11469-018-9937-1.
  • 38. Arpaci I, Abdeljawad T, Baloğlu M, Kesici Ş, Mahariq I. Mediating effect of internet addiction on the relationship between individualism and cyberbullying: cross-sectional questionnaire study. J Med Internet Res. 2020;22(5):e16210. doi:10.2196/16210
  • 39. Tsimtsiou Z, Haidich AB, Drontsos A, Dantsi F, Sekeri Z, Drosos E, et al. Pathological Internet use, cyberbullying and mobile phone use in adolescence: a school-based study in Greece. Int J Adolesc Med Health. 2017;30(6):/j/ijamh.2018.30.issue-6/ijamh-2016-0115/ijamh-2016-0115.xml. doi: 10.1515/ijamh-2016-0115

The Effect of The Internet on Adolescents: A Mixed-Method Study

Year 2022, Volume: 16 Issue: 4, 711 - 724, 23.12.2022
https://doi.org/10.21763/tjfmpc.1126222

Abstract

Introduction: Internet addiction has developed into a major public health issue as a result of technological improvements. The aim of this study is to determine their views on the effects of the internet on adolescents with problematic internet use and to examine the level of internet addiction of adolescents. Methods: This is a mixed-method- study. The total sample size was 349 secondary school students. The study interview group consisted of 60 students. Data were collected through the focus group method. Descriptive statistics and chi-square analysis were used in the quantitative data analysis while thematic analysis was used in the qualitative data analysis. Results: The mean total score of internet addiction for all students wa 35.63 (4.44). The students with a mean internet score of <30 had a mean score of 19.03 (5.66), and the students with a mean internet score of ≥30 had a mean score of 22.17 (8.49). Three main themes were identified, which were 'path to problematic internet use', 'impacts of internet', and 'safe internet'. Conclusions: From the perspective of the children regarding the three themes in this study, the internet was found to be beneficial for accessing information. However, the results also showed that children were exposed to risks on the internet. Within the context of the study results, nurses can determine the factors causing uncontrolled access to the internet among children. Moreover, interventions can be planned in accordance with the needs.

References

  • 1. Chi X, Hong X, Chen X. Profiles and sociodemographic correlates of Internet addiction in early adolescents in southern China. Addict Behav. 2020;106:106385. doi:10.1016/j.addbeh.2020.106385
  • 2. McDool E, Powell P, Roberts J, Taylor K. The internet and children's psychological wellbeing. J Health Econ. 2020;69:102274. doi:10.1016/j.jhealeco.2019.102274
  • 3. Kuss DJ, Griffiths MD, Karila L, Billieux J. Internet addiction: a systematic review of epidemiological research for the last decade. Curr Pharm Des. 2014;20(25):4026-4052. doi:10.2174/13816128113199990617
  • 4. Young KS, Yue XD, Ying L. Prevalence Estimates and Etiologic Models of Internet Addiction. In: Internet addiction: A handbook and guide to evaluation and treatment. Ed: Young KS , Nebuco de Abreu C Hoboken, NJ: John Wiley & Sons, Inc. 2011. p.3-19.
  • 5. Digital 2021: The Latest Insights Into The ‘State Of Digital’ 2021. Accessed from: https://wearesocial.com/uk/blog/2021/01/digital-2021-the-latest-insights-into-the-state-of-digital/ Accessed date: October 16, 2021.
  • 6. Turkey Statistical Institute. Household Information Technologies (IT) Usage Survey, 2021. Accessed from: https://data.tuik.gov.tr/Bulten/Index?p=Survey-on-Information-and-Communication-Technology-(ICT)-Usage-in-Households-and-by-Individuals-2021-37437 Accessed date: October 16, 2021.
  • 7. Karaer Y, Akdemir D. Parenting styles, perceived social support and emotion regulation in adolescents with internet addiction. Compr Psychiatry. 2019;92:22-27. doi:10.1016/j.comppsych.2019.03.003
  • 8. Pan YC, Chiu YC, Lin YH. Systematic review and meta-analysis of epidemiology of internet addiction. Neurosci Biobehav Rev. 2020;118:612-622. doi:10.1016/j.neubiorev.2020.08.013
  • 9. Kaur N, Ahmad Y. The factor of availability facilities at home and compulsive internet use among primary school students. Journal of Physics Conference Series, 2020; 1529: 032075. doi:10.1088/1742-6596/1529/3/032075.
  • 10. Miltuze A, Sebre SB, Martinsone B. Consistent and appropriate parental restrictions mitigating against children's compulsive internet use: a one-year longitudinal study. Tech Know Learn 2021;26: 883-895. doi: 10.1007/ s10758-020-09472-4.
  • 11. Spence SH, Zubrick SR, Lawrence D. A profile of social, separation and generalized anxiety disorders in an Australian nationally representative sample of children and adolescents: Prevalence, comorbidity and correlates. Aust N Z J Psychiatry. 2018;52(5):446-460. doi:10.1177/0004867417741981
  • 12. Otsuka Y, Kaneita Y, Itani O, Jike M, Osaki Y, Higuchi S, Kanda H, Kinjo A, Kuwabara Y, Yoshimoto H. Skipping breakfast, poor sleep quality, and Internet usage and their relation with unhappiness in Japanese adolescents. PLoS One. 2020;15(7):e0235252. doi: 10.1371/journal.pone.0235252.
  • 13. Achterhof, R., Kirtley, O. J., Schneider, M., Hagemann, N., Hermans, K. S., Hiekkaranta, A. P., et al. Adolescents’ real-time social and affective experiences of online and face-to-face interactions. Computers in Human Behavior, 2022;129, 107159. doi.org/10.1016/j.chb. 2021.107159
  • 14. Evli, M, Şimşek N, Işıkgöz M, Öztürk Hİ. Internet addiction, insomnia, and violence tendency in adolescents. International Journal of Social Psychiatry. April 2022. doi:10.1177/00207640221090964.
  • 15. Zeichner O. The impact of safe internet intervention programs on pupils. British Journal of Educational Technology 2020;16(3):34-43. doi: 10.26634/jet. 16.3.16572.
  • 16. Dursun OB. Turkey Fighting Addiction Education Program (5th Edition), Durmus A., Durmuş H.I. (eds), Culture and Art Publishing House, İstanbul, Turkey, 2015; p. 4-6. (in Turkish).
  • 17. Erden S. Hatun O. The use of cognitive-behavioral therapy in coping with internet addiction: a case study. Addicta: The Turkish Journal on Addictions, 2015; 2(1), 53-83. doi: 10.15805/addicta.2015.2.1.015
  • 18. Zhang X, Shi X, Xu S, Qiu J, Turel O, He Q. The effect of solution-focused group counseling intervention on college students' internet addiction: a pilot study. Int J Environ Res Public Health. 2020;17(7):2519. doi:10.3390/ijerph17072519
  • 19. Şahin M, Sarı SV, Özer, Ö Er, SH. High school students’ views about their cyber bully behaviours and self-exposition. Süleyman Demirel University Faculty of Arts and Sciences Journal of Social Sciences, 2010;21:257-270. (in Turkish).
  • 20. Hernán-García M, Botello-Díaz B, Marcos-Marcos J, Toro-Cárdenas S, Gil-García E. Understanding children: a qualitative study on health assets of the Internet in Spain. Int J Public Health. 2015;60(2):239-247. doi:10.1007/s00038-015-0648-0
  • 21. Li W, O'Brien JE, Snyder SM, Howard MO. Characteristics of internet addiction/pathological internet use in U.S. university students: a qualitative-method investigation. PLoS One. 2015;10(2):e0117372. Published 2015 Feb 3. doi:10.1371/journal.pone.0117372
  • 22. Throuvala, M.A., Griffiths, M.D., Rennoldson, M, Kuss, DJ. Motivational processes and dysfunctional mechanisms of social media use among adolescents: A qualitative focus group study. Computers in Human Behavior, 2019; 93: 164-175. doi: 10.1016 / j.chb.2018.12.012.
  • 23. Peters A, El-Ghaziri M, Quinn B, Simons S, Taylor R. An exploratory study of bullying exposure among school nurses: prevalence and impact. J Sch Nurs. 2021;37(6):449-459. doi:10.1177/1059840519897308
  • 24. Creswell JW. Research Design: Qualitative, Quantitative and Mixed Methods Approaches, 4th ed. Sage Publication, California., 2014, p. 264-288.
  • 25. Creswell JW, Poth CN. Qualitative Inquiry and Research Design: Choosing among Five Approaches, 4th ed. SAGE, Thousand Oaks.,2018, p.253-287.
  • 26. Pawlikowski, M, Altstötter-Gleich C, Brand, M. Validation and psychometric properties of a short version of Young’s Internet Addiction Test. Computers in Human Behavior, 2013; 29(3), 1212-1223. doi: 10.1016/j.chb.2012.10.014.
  • 27. Kutlu, M., Savcı, M., Demir, Y., Aysan, F. Turkish adaptation of Young’s Internet Addiction Test-Short Form: a reliability and validity study on university students and adolescents. Anatolian Journal of Psychiatry, 2016; 17(1), 69-76. doi: 10. 5455/apd.190501.
  • 28. Hennink MM, Kaiser BN, Weber MB. What influences saturation? estimating sample sizes in focus group research. Qual Health Res. 2019;29(10):1483-1496. doi:10.1177/1049732318821692
  • 29. Hancock ME, Amankwaa L, Revell MA, Mueller D. Focus group data saturation: a new approach to data analysis. Qualitative Report, 2016; 21 (11), 2124-2130.
  • 30. Braun V Clarke V. To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales. Qualitative Research in Sport, Exercise and Health, 2019; 13 (2), 201-216. doi: 10.1080/2159676X. 2019.1704846.
  • 31. Paulus FW, Ohmann S, von Gontard A, Popow C. Internet gaming disorder in children and adolescents: a systematic review. Dev Med Child Neurol. 2018;60(7):645-659. doi:10.1111/dmcn.13754
  • 32. Kilic M, Avci D, Uzuncakmak T. Internet addiction in high school students in turkey and multivariate analyses of the underlying factors. J Addict Nurs. 2016;27(1):39-46. doi:10.1097/JAN.0000000000000110
  • 33. Yılmaz E, Yel S, Grifftiths MD. The impact of heavy (excessive) video gaming students on peers and teachers in the school environment: a qualitative study. ADDICTA: The Turkish Journal on Addictions, 2018; 5(2):147-161. doi: 10.1580 5/addicta.2018. 5.2.0035.
  • 34. Colder Carras M, Van Rooij AJ, Van de Mheen D, Musci R, Xue QL, Mendelson T. Video gaming in a hyperconnected world: a cross-sectional study of heavy gaming, problematic gaming symptoms, and online socializing in adolescents. Comput Human Behav. 2017;68:472-479. doi:10.1016/j.chb.2016.11.060
  • 35. Peris M, de la Barrera U, Schoeps K, Montoya-Castilla I. Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents. Int J Environ Res Public Health. 2020;17(12):4598. doi:10.3390/ijerph17124598
  • 36. Saikia AM, Das J, Barman P, Bharali MD. Internet Addiction and its Relationships with Depression, Anxiety, and Stress in Urban Adolescents of Kamrup District, Assam. J Family Community Med. 2019;26(2):108-112. doi:10.4103/jfcm. JFCM_93_18
  • 37. Bener A, Yildirim E, Torun P, Çatan F, Bolat E, Alıç S, et al. Internet addiction, fatigue, and sleep problems among adolescent students: a large-scale study. International Journal of Mental Health and Addiction, 2019; 17(4), 959-969. doi: 10.1007/s11469-018-9937-1.
  • 38. Arpaci I, Abdeljawad T, Baloğlu M, Kesici Ş, Mahariq I. Mediating effect of internet addiction on the relationship between individualism and cyberbullying: cross-sectional questionnaire study. J Med Internet Res. 2020;22(5):e16210. doi:10.2196/16210
  • 39. Tsimtsiou Z, Haidich AB, Drontsos A, Dantsi F, Sekeri Z, Drosos E, et al. Pathological Internet use, cyberbullying and mobile phone use in adolescence: a school-based study in Greece. Int J Adolesc Med Health. 2017;30(6):/j/ijamh.2018.30.issue-6/ijamh-2016-0115/ijamh-2016-0115.xml. doi: 10.1515/ijamh-2016-0115
There are 39 citations in total.

Details

Primary Language English
Subjects Public Health, Environmental Health
Journal Section Orijinal Articles
Authors

Nurcan Akgül Gündoğdu 0000-0002-6446-730X

Alime Selçuk Tosun 0000-0002-4851-0910

İlknur Yıldız 0000-0002-2574-7018

Zeynep Temel Mert 0000-0002-9978-6247

Publication Date December 23, 2022
Submission Date June 5, 2022
Published in Issue Year 2022 Volume: 16 Issue: 4

Cite

Vancouver Akgül Gündoğdu N, Selçuk Tosun A, Yıldız İ, Temel Mert Z. The Effect of The Internet on Adolescents: A Mixed-Method Study. TJFMPC. 2022;16(4):711-24.

English or Turkish manuscripts from authors with new knowledge to contribute to understanding and improving health and primary care are welcome.