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Evaluatıon Of The Effıcıency Of Internet Addıctıon Educatıon Gıven To Secondary School

Year 2024, Volume: 5 Issue: 2, 55 - 68, 27.08.2024
https://doi.org/10.58605/bingolsaglik.1487197

Abstract

This study aims to examine the effectiveness of internet addiction education given to secondary school students. This research was carried out in the pretest-posttest control group design and the sample of the research consists of 90 secondary school students studying in a district of Mersin. 'Descriptive Characteristics Form and Internet Addiction Scale' were used to collect data. Students were given education on internet addiction, and questionnaires were applied before and four months after the education. While the mean of daily internet use time measured with the pretest was 120.55±134.11 in the education group, the mean time of daily internet use measured by the posttest was 66.87±66.91 minutes. It was found that there was a statistically significant difference in the education group in terms of the sub-dimensions of the internet addiction scale and the overall scale score before and after the education (p<0.05). The difference between these means was not statistically significant (p>0.05). The questionnaire applied after the education showed that there was a statistically significant difference between the education and control groups in terms of negative social relations (p<0.05). The study concluded that the education given to secondary school students on internet addiction is effective.

Ethical Statement

Ethical permission was obtained from Tarsus University Scientific Research and Publication Ethics Committee on 04/04/2022 with the decision number 2022/20. In addition, additional permission was obtained from Mersin Provincial Directorate of National Education on 26/05/2022 with the decision number E-63988265-605.01-50410514.

Supporting Institution

This research has not received any support.

Thanks

The author declare no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

References

  • 1. Selen H, Koç Ş. Evaluation of internet addiction and nutrition habits of secondary and high school students. J Nutrition and Diet 2024;52(1):58-67.
  • 2. TÜİK. Household information technology use research. 2021. Access date: October 11, 2022. Available from: URL: http://www.tuik.gov.tr/PreHaberBultenleri. 3. TÜİK. Household information technology use research. 2022. Access date: October 11, 2022, Available from: URL: http://www.tuik.gov.tr/PreHaberBultenleri.
  • 4. Simsek E, Yilmaz TK. Systematic analysis of methods and results in digital game addiction studies in Turkey. Kastamonu Edu J 2020; 28(4):1851-1866.
  • 5. Ektiricioğlu C, Arslantaş H, Yuksel R. The disease of the age in adolescents: technology addiction. Arc Med Rev J 2020;29(1):51-64.
  • 6. Javaeed A, Jeelani R, Gulab S, Ghauri SK. Relationship between internet addiction and academic performance of undergraduate medical students of Azad Kashmir. Pakistan J Med Sci 2020;36(2):229–233.
  • 7. Savcı M, Aysan F. Technological addictions and social connectedness: The predictive effect of internet addiction, social media addiction, digital gaming addiction and smartphone addiction on social attachment. DAJPNS 2017;30:202-216. 8. Zhang J, Zhang X, Zhang K, Lu X, Yuan G, Yang H et al. An updated of meta-analysis on the relationship between mobile phone addiction and sleep disorder. J Affect Disord 2022;305:94-101. 9. Cengiz S, Peker, A. (2022). The relationship between secondary school students' negative subjective well-being levels and problematic internet use at school. ODÜSOBİAD, 13(3), 2947-2962.
  • 10. Yaman H. Haydi, Haydi, Hayatı Kucakla, Life Skills Education Project's effect on middle school students' social skills level and internet addiction level. Journal of Faculty of Education 2016;2(3), 1-27.
  • 11. Uzun M, Yumak F, Yıldız Y, Aydul S. A review of the effectiveness of cognitive-behavioral therapy-based interventions in adolescents experiencing internet addiction. International Journal of Social Sciences and Education Research 2023;9(4), 355-365. DOI:https://doi.org/10.24289/ijsser.1280443.
  • 12. Karadağ YE, Noyan CO. The effect of psychoeducation program for the prevention of technology addiction on 8th grade students. J. Addict Med 2023;24(1):43-52.
  • 13. Mutlu Bozkurt T. Does education level matter in digital game addiction? digital game addiction by education level. J Sport Health Res 2022;1(2):22-35.
  • 14. Kurt A, Aykaç BB, Soylu G, Ersan EE. Internet addiction and related factors in a private primary school students. ADYU J Health Sci 2022;8(3):201-210.
  • 15. Arslan A. The effect of secondary school students' digital game addictions on self-efficacy levels: a equation structural model study, E-International. J Educ Res 2022;13(5):132-150.
  • 16. Şahin C, Korkmaz Ö. Adaptation of internet addiction scale to turkish. J. Educ Fac Selcuk Uni Ahmet Keleşoğlu 2011;32:101-115.
  • 17. Deniz G, Aydın S, Odabaş D. Investigation of digital game addiction and parental attitudes of secondary and high school students in Ankara city center. J Public Health Nurs Med 2022;4(1):43-55.
  • 18. Akay E, Kayili G. The relationship between digital parenting attitudes and internet addiction and emotion management skills in adolescents. J-CAD 2023;6 (11):48-66.
  • 19. Küçükkaraca N, Pak H. Cognitive behavioral therapies in the treatment of internet addiction. J Addict 2023;24(4):528-538.
  • 20.https://ortaokul.tbm.org.tr/Video/%20Teknoloji%20Ba%C4%9F%C4%B1ml%C4%B1l%C4%B1%C4%9F%C4%B1/12#!Home/VideoView.
  • 21. Yazgan Y, Bintaş J. The level of using problem solving strategies of primary school fourth and fifth grade students: A teaching experiment. Hacettepe Uni J Educ Fac 2005;28(28):210-218.
  • 22. Sağlan R, Atay E, Demirtaş Z, Öcal EE, Arslantaş D, Ünsal A. Internet use and dry eye safety assessments across middle and high school programs. Eurasian J Fam Med 2017;6 (3):117-126.
  • 23. Aysan E, Karaköse S, Zaybak A, İsmailoğlu EG. Sleep quality and affecting factors in university students. E Journal-Dokuz Eylul Uni Fac Nurs 2014;7(3):193-198.
  • 24. Silva M, Chaves C, Duarte J, Amaral O, Ferreira M. Sleep quality determinants among nursing students. Procedia Soc. Behav. Sci 2016;217:999-1007.
  • 25. Khalil Aİ, Alharbi NB, Alhawasawi Y, Albander AB. Prevalence of internet addiction among nursing students and the association with their academic performance and mental health. AJH 2016;3(4):291-306.
  • 26. Sahin S, Ozdemir K, Unsal A, Temiz N. Evaluation of mobile phone addiction level and sleep quality in university students. Pak J Med Sci 2013;29(4): 913.
  • 27. Ekinci O, Çelik T, Savas N, Toros F. The relationship between internet use and sleeping problems in adolescents. Noro Psikiyatr Ars 2014;51: 122-128.
  • 28. Chen Y, Gau SS. Sleep problems and internet addiction among children and adolescents: A longitudinal study. J Sleep Res 2016;25(4);458- 465.
  • 29. Sevi OM, Odabaşıoğlu G, Genç Y, Soykal İ, Öztürk Ö. Cell phone inventory: Standardization and examination of its relationship with personality traits. J Addict 2014;15(1):15-22.
  • 30. Marufoğlu S, Kutlutürk S. The effect of digital game addiction in secondary school on activity and sleeping habits in secondary school. J Addict 2021;22(2):114-122.
  • 31. Brooks FM, Chester KL, Smeeton NC, Spencer NH. Video gaming in adolescence: factors associated with leisure time use. J Youth Stud 2016;19(1):36-54.
  • 32. Hendekci A, Aydın Avcı İ. The relationship between internet addiction and nutrition exercise behaviors in adolescents. Ankara Medical Journal 2020;20(2), 315-326.
  • 33. Kürklü SN, Özyıldırım C, Karaçil Ermumcu MŞ, Suna G, et al. Evaluation of the effect of internet addiction on eating behaviors, obesity and sleep quality in adolescents. Izmir Katip Çelebi University Faculty of Health Sciences Journal 2023;8(2), 243-249.
  • 34. Alarçin EY, Şirin H. The relationship between internet addiction and time management in university students. Suggestion Journal 2021;16(55), 95-124.
  • 35. Denktaş M, Temur E, Aydın R, Balinan Ş, Karadağ Y. Examination of secondary school students' leisure time management and digital addiction levels. Düzce University Journal of Sports Sciences 2023;3(1), 83-90.
  • 36. Cheung JCS, Chan KHW, Lui YW, Tsui MS, Chan C. Psychological well-being and adolescents’ internet addiction: a school-based cross-sectional study in Hong Kong. Child Adolesc Soc Wo 2018;35(5):477-487.
  • 37. Goel D, Subramanyam A, Kamath R. A study on the prevalence of internet addiction and its association with psychopathology in Indian adolescents. Indian J Psychiatry 2013;55(2);140.
  • 38. Erden NA research on the effect of high school students' self-confidence level on internet addiction. Doctoral dissertation: Marmara Univ. 2019.
  • 39. Gülaçtı F. The relationship between internet addiction and loneliness levels. International Journal of Social Sciences in Turkish Cultural Geography 2020;5(2), 213-229.
  • 40. Fatehi F, Monajemi A, Sadeghi A, Mojtahedzadeh R, Mirzazadeh A. Quality of life in medical students with internet addiction. Acta Med. Iran 2016;54:662-666.
  • 41. Nazik F, Güneş G. Problematic internet use and healthy lifestyle behaviors in university students. Cukurova Med J 2019;44:41-48.
  • 42. Hellström C. Online gaming in relation to negative consequences and ill health among adolescents. Licentiate Exam; Ups. J. Med. Sci 2013.
  • 43. Mustafaoglu R, Yasacı Z. The negative effects of playing digital games on the mental and physical health of children. J Addict 2018;19(3):51-58.
  • 44. Ayenigbara IO. Gaming disorder and effects of gaming on health: an overview. J Addict Med Ther Sci 2018;4(1);1-3.
  • 45. Shutzman B, Gershy N. Children's excessive digital media use, mental health problems and the protective role of parenting during COVID-19. Comput Hum Behav 2023;139:107-559.
  • 46. Odacı H, Çıkrıkçı Ö. Differences in problematic internet use based on depression, anxiety, and stress levels. Addicta 2017;4:41–61.
  • 47. Shaw M, Black DW. Internet addiction. CNS Drugs 2008;22(5);353-365.
  • 48. Wang HR. Cho Kim HD. Prevalence and correlates of comorbid depression in a nonclinical online sample with DSM-5 internet gaming disorder. J Affect Disord 2018;226:1-5.
  • 49. Erol B. The Effect of Psycho-Education Program Based on Cognitive-Behavioral Approach on Problematic Internet Use Levels of Adolescents. Unpublished Master's Thesis: Gazi Univ. 2019.
  • 50. Hamu AH, Yusuf A, Sufyanti YA, Margono HM, Triyana PD, Fauzi A. The effect of cognitive commitment of behavioral therapy on internet addiction among adolescents in Kupang City. International Journal of Nursing and Health Services (IJNHS) 2020;3(1), 87-95.
  • 51. Agbaria Q. Cognitive behavioral intervention in dealing with internet addiction among arab teenagers in Israel. International Journal of Mental Health and Addiction 2022;1-15. doi: 10.1007/s11469-021-00733-6.
  • 52. Aşantuğrul N. The Effect of Psychoeducation Program Based on Cognitive-Behavioral Approach on Social Media Addiction Levels of Adolescents. Unpublished Master's Thesis: On Dokuz Mayıs Univ. 2020.

Ortaokul Öğrencilerine Verilen İnternet Bağımlılığı Eğitiminin Etkililiği

Year 2024, Volume: 5 Issue: 2, 55 - 68, 27.08.2024
https://doi.org/10.58605/bingolsaglik.1487197

Abstract

Bu çalışmanın amacı, ortaokul öğrencilerine verilen internet bağımlılığı eğitiminin etkinliğinin incelenmesidir. Bu araştırma, ön test-son test kontrol grup deseninde yapılmıştır. Araştırmanın örneklemini, Mersin iline bağlı bir ilçede öğrenim gören 90 ortaokul öğrencisi oluşturmaktadır. Verilerin toplanmasında “Tanımlayıcı Özellikler Formu ve İnternet Bağımlılığı Ölçeği” kullanılmıştır. Öğrencilere internet bağımlılığına yönelik eğitim verilmiş olup, eğitim öncesi ve eğitimden 4 ay sonra anket formları yeniden uygulanmıştır. Girişim grubunun ön test ile ölçülen günlük internet kullanımı süresi ortalaması 120,55±134,11, son test ile ölçülen günlük internet kullanımı süresi ortalaması ise 66,87±66,91 dakikadır. Girişim grubunda eğitim öncesi ve eğitim sonrası yapılan internet bağımlılığı ölçeği alt boyutları ve genel ölçek puan ortalaması açısından istatistiksel olarak anlamlı bir farklılık olduğu tespit edilmiştir (p<0,05). Eğitim sonrası uygulanan ankette, girişim ve kontrol grubu arasında sosyal ilişkilerde olumsuzluk açısından istatistiksel olarak anlamlı bir farklılık olduğu belirlenmiştir (p<0,05). Yapılan bu çalışmanın sonucunda, ortaokul öğrencilerine internet bağımlılığına yönelik verilen eğitimin etkili olduğu belirlenmiştir.

References

  • 1. Selen H, Koç Ş. Evaluation of internet addiction and nutrition habits of secondary and high school students. J Nutrition and Diet 2024;52(1):58-67.
  • 2. TÜİK. Household information technology use research. 2021. Access date: October 11, 2022. Available from: URL: http://www.tuik.gov.tr/PreHaberBultenleri. 3. TÜİK. Household information technology use research. 2022. Access date: October 11, 2022, Available from: URL: http://www.tuik.gov.tr/PreHaberBultenleri.
  • 4. Simsek E, Yilmaz TK. Systematic analysis of methods and results in digital game addiction studies in Turkey. Kastamonu Edu J 2020; 28(4):1851-1866.
  • 5. Ektiricioğlu C, Arslantaş H, Yuksel R. The disease of the age in adolescents: technology addiction. Arc Med Rev J 2020;29(1):51-64.
  • 6. Javaeed A, Jeelani R, Gulab S, Ghauri SK. Relationship between internet addiction and academic performance of undergraduate medical students of Azad Kashmir. Pakistan J Med Sci 2020;36(2):229–233.
  • 7. Savcı M, Aysan F. Technological addictions and social connectedness: The predictive effect of internet addiction, social media addiction, digital gaming addiction and smartphone addiction on social attachment. DAJPNS 2017;30:202-216. 8. Zhang J, Zhang X, Zhang K, Lu X, Yuan G, Yang H et al. An updated of meta-analysis on the relationship between mobile phone addiction and sleep disorder. J Affect Disord 2022;305:94-101. 9. Cengiz S, Peker, A. (2022). The relationship between secondary school students' negative subjective well-being levels and problematic internet use at school. ODÜSOBİAD, 13(3), 2947-2962.
  • 10. Yaman H. Haydi, Haydi, Hayatı Kucakla, Life Skills Education Project's effect on middle school students' social skills level and internet addiction level. Journal of Faculty of Education 2016;2(3), 1-27.
  • 11. Uzun M, Yumak F, Yıldız Y, Aydul S. A review of the effectiveness of cognitive-behavioral therapy-based interventions in adolescents experiencing internet addiction. International Journal of Social Sciences and Education Research 2023;9(4), 355-365. DOI:https://doi.org/10.24289/ijsser.1280443.
  • 12. Karadağ YE, Noyan CO. The effect of psychoeducation program for the prevention of technology addiction on 8th grade students. J. Addict Med 2023;24(1):43-52.
  • 13. Mutlu Bozkurt T. Does education level matter in digital game addiction? digital game addiction by education level. J Sport Health Res 2022;1(2):22-35.
  • 14. Kurt A, Aykaç BB, Soylu G, Ersan EE. Internet addiction and related factors in a private primary school students. ADYU J Health Sci 2022;8(3):201-210.
  • 15. Arslan A. The effect of secondary school students' digital game addictions on self-efficacy levels: a equation structural model study, E-International. J Educ Res 2022;13(5):132-150.
  • 16. Şahin C, Korkmaz Ö. Adaptation of internet addiction scale to turkish. J. Educ Fac Selcuk Uni Ahmet Keleşoğlu 2011;32:101-115.
  • 17. Deniz G, Aydın S, Odabaş D. Investigation of digital game addiction and parental attitudes of secondary and high school students in Ankara city center. J Public Health Nurs Med 2022;4(1):43-55.
  • 18. Akay E, Kayili G. The relationship between digital parenting attitudes and internet addiction and emotion management skills in adolescents. J-CAD 2023;6 (11):48-66.
  • 19. Küçükkaraca N, Pak H. Cognitive behavioral therapies in the treatment of internet addiction. J Addict 2023;24(4):528-538.
  • 20.https://ortaokul.tbm.org.tr/Video/%20Teknoloji%20Ba%C4%9F%C4%B1ml%C4%B1l%C4%B1%C4%9F%C4%B1/12#!Home/VideoView.
  • 21. Yazgan Y, Bintaş J. The level of using problem solving strategies of primary school fourth and fifth grade students: A teaching experiment. Hacettepe Uni J Educ Fac 2005;28(28):210-218.
  • 22. Sağlan R, Atay E, Demirtaş Z, Öcal EE, Arslantaş D, Ünsal A. Internet use and dry eye safety assessments across middle and high school programs. Eurasian J Fam Med 2017;6 (3):117-126.
  • 23. Aysan E, Karaköse S, Zaybak A, İsmailoğlu EG. Sleep quality and affecting factors in university students. E Journal-Dokuz Eylul Uni Fac Nurs 2014;7(3):193-198.
  • 24. Silva M, Chaves C, Duarte J, Amaral O, Ferreira M. Sleep quality determinants among nursing students. Procedia Soc. Behav. Sci 2016;217:999-1007.
  • 25. Khalil Aİ, Alharbi NB, Alhawasawi Y, Albander AB. Prevalence of internet addiction among nursing students and the association with their academic performance and mental health. AJH 2016;3(4):291-306.
  • 26. Sahin S, Ozdemir K, Unsal A, Temiz N. Evaluation of mobile phone addiction level and sleep quality in university students. Pak J Med Sci 2013;29(4): 913.
  • 27. Ekinci O, Çelik T, Savas N, Toros F. The relationship between internet use and sleeping problems in adolescents. Noro Psikiyatr Ars 2014;51: 122-128.
  • 28. Chen Y, Gau SS. Sleep problems and internet addiction among children and adolescents: A longitudinal study. J Sleep Res 2016;25(4);458- 465.
  • 29. Sevi OM, Odabaşıoğlu G, Genç Y, Soykal İ, Öztürk Ö. Cell phone inventory: Standardization and examination of its relationship with personality traits. J Addict 2014;15(1):15-22.
  • 30. Marufoğlu S, Kutlutürk S. The effect of digital game addiction in secondary school on activity and sleeping habits in secondary school. J Addict 2021;22(2):114-122.
  • 31. Brooks FM, Chester KL, Smeeton NC, Spencer NH. Video gaming in adolescence: factors associated with leisure time use. J Youth Stud 2016;19(1):36-54.
  • 32. Hendekci A, Aydın Avcı İ. The relationship between internet addiction and nutrition exercise behaviors in adolescents. Ankara Medical Journal 2020;20(2), 315-326.
  • 33. Kürklü SN, Özyıldırım C, Karaçil Ermumcu MŞ, Suna G, et al. Evaluation of the effect of internet addiction on eating behaviors, obesity and sleep quality in adolescents. Izmir Katip Çelebi University Faculty of Health Sciences Journal 2023;8(2), 243-249.
  • 34. Alarçin EY, Şirin H. The relationship between internet addiction and time management in university students. Suggestion Journal 2021;16(55), 95-124.
  • 35. Denktaş M, Temur E, Aydın R, Balinan Ş, Karadağ Y. Examination of secondary school students' leisure time management and digital addiction levels. Düzce University Journal of Sports Sciences 2023;3(1), 83-90.
  • 36. Cheung JCS, Chan KHW, Lui YW, Tsui MS, Chan C. Psychological well-being and adolescents’ internet addiction: a school-based cross-sectional study in Hong Kong. Child Adolesc Soc Wo 2018;35(5):477-487.
  • 37. Goel D, Subramanyam A, Kamath R. A study on the prevalence of internet addiction and its association with psychopathology in Indian adolescents. Indian J Psychiatry 2013;55(2);140.
  • 38. Erden NA research on the effect of high school students' self-confidence level on internet addiction. Doctoral dissertation: Marmara Univ. 2019.
  • 39. Gülaçtı F. The relationship between internet addiction and loneliness levels. International Journal of Social Sciences in Turkish Cultural Geography 2020;5(2), 213-229.
  • 40. Fatehi F, Monajemi A, Sadeghi A, Mojtahedzadeh R, Mirzazadeh A. Quality of life in medical students with internet addiction. Acta Med. Iran 2016;54:662-666.
  • 41. Nazik F, Güneş G. Problematic internet use and healthy lifestyle behaviors in university students. Cukurova Med J 2019;44:41-48.
  • 42. Hellström C. Online gaming in relation to negative consequences and ill health among adolescents. Licentiate Exam; Ups. J. Med. Sci 2013.
  • 43. Mustafaoglu R, Yasacı Z. The negative effects of playing digital games on the mental and physical health of children. J Addict 2018;19(3):51-58.
  • 44. Ayenigbara IO. Gaming disorder and effects of gaming on health: an overview. J Addict Med Ther Sci 2018;4(1);1-3.
  • 45. Shutzman B, Gershy N. Children's excessive digital media use, mental health problems and the protective role of parenting during COVID-19. Comput Hum Behav 2023;139:107-559.
  • 46. Odacı H, Çıkrıkçı Ö. Differences in problematic internet use based on depression, anxiety, and stress levels. Addicta 2017;4:41–61.
  • 47. Shaw M, Black DW. Internet addiction. CNS Drugs 2008;22(5);353-365.
  • 48. Wang HR. Cho Kim HD. Prevalence and correlates of comorbid depression in a nonclinical online sample with DSM-5 internet gaming disorder. J Affect Disord 2018;226:1-5.
  • 49. Erol B. The Effect of Psycho-Education Program Based on Cognitive-Behavioral Approach on Problematic Internet Use Levels of Adolescents. Unpublished Master's Thesis: Gazi Univ. 2019.
  • 50. Hamu AH, Yusuf A, Sufyanti YA, Margono HM, Triyana PD, Fauzi A. The effect of cognitive commitment of behavioral therapy on internet addiction among adolescents in Kupang City. International Journal of Nursing and Health Services (IJNHS) 2020;3(1), 87-95.
  • 51. Agbaria Q. Cognitive behavioral intervention in dealing with internet addiction among arab teenagers in Israel. International Journal of Mental Health and Addiction 2022;1-15. doi: 10.1007/s11469-021-00733-6.
  • 52. Aşantuğrul N. The Effect of Psychoeducation Program Based on Cognitive-Behavioral Approach on Social Media Addiction Levels of Adolescents. Unpublished Master's Thesis: On Dokuz Mayıs Univ. 2020.
There are 49 citations in total.

Details

Primary Language English
Subjects Health Promotion, Public Health Nursing
Journal Section Araştırma Makaleleri
Authors

Pelin Zıvdır Yeşilyurt 0000-0002-3232-6991

Büşra Gök 0000-0002-5630-8368

Sait Söyler 0000-0002-7915-0073

Eylem Toker 0000-0003-1832-6888

Atiye Karakul 0000-0001-6580-9976

Early Pub Date August 26, 2024
Publication Date August 27, 2024
Submission Date May 21, 2024
Acceptance Date June 25, 2024
Published in Issue Year 2024 Volume: 5 Issue: 2

Cite

Vancouver Zıvdır Yeşilyurt P, Gök B, Söyler S, Toker E, Karakul A. Evaluatıon Of The Effıcıency Of Internet Addıctıon Educatıon Gıven To Secondary School. BÜSAD. 2024;5(2):55-68.