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Lise öğrencilerinde dijital oyun bağımlılığının sosyodemografik risk faktörleri ve öfke ifadesi ile ilişkisi

Year 2026, Volume: 8 Issue: 1, 77 - 82, 06.01.2026
https://doi.org/10.38053/acmj.1788649

Abstract

Amaç: Dijital oyun bağımlılığının (DOB) ergenlerde artan prevalansı önemli bir halk sağlığı sorunudur. DOB'un sosyodemografik risk faktörleri ve öfke ifadesiyle ilişkisi henüz yeterince araştırılmamıştır. Bu bağlamda, bu çalışma ergenlerde DOB'un sosyodemografik risk faktörlerini belirlemek ve DOB ile öfke ifadesi arasındaki ilişkiyi incelemek amacıyla yapılmıştır.
Gereç ve Yöntem: Bu kesitsel çalışmanın örneklemini İstanbul'da bir lisede öğrenim gören 15-18 yaş arası 558 öğrenci oluşturmuştur. DOB'u değerlendirmek için Dijital Oyun Bağımlılığı Ölçeği (DOBÖ-7), öfkeyi değerlendirmek için Sürekli Öfke-Öfke İfade Tarzı Ölçeği (SÖÖTÖ) kullanılmıştır. Elde edilen veriler Mann-Whitney U testi, ki-kare testi ve Spearman korelasyon analizi ile değerlendirilmiştir.
Bulgular: 148 kız ve 152 erkek öğrenciden oluşan çalışma örnekleminde DOB prevalansı %35 olarak bulunmuştur. DOB erkek öğrencilerde kız öğrencilere göre anlamlı düzeyde yüksek bulunmuştur (%43,4'e karşı %26,4, p=0,002). DOB olan öğrencilerin SÖÖTÖ puanları, olmayanlara göre anlamlı düzeyde yüksek bulunmuştur (165,61'e karşı 142,36; p=0,024). DOB ile anne eğitim düzeyi arasında pozitif yönde anlamlı ilişki saptanmıştır (p=0,009). DOB riski en yüksek 9. sınıf öğrencilerinde (%45,3) bulunmuştur.
Sonuç: DOB olan ergenlerde öfke ifadesi yüksek bulunmuştur. Erkek cinsiyet, düşük sınıf düzeyi ve annenin yüksek eğitim düzeyi DOB için risk faktörleri olarak belirlenmiştir. DOB'u önlemeye yönelik müdahale programlarının bu risk faktörlerini ele alması gerekmektedir.

Ethical Statement

Çalışma protokolü Haliç Üniversitesi Girişimsel Olmayan Klinik Araştırmalar Etik Kurulu tarafından 24 Kasım 2017 tarihinde onaylandı (onay no: 204).

Supporting Institution

Destekleyici bir kuruluş yok

Project Number

204

References

  • Diagnostic A. Statistical manual of mental disorders: DSM-5 (ed.) Washington. DC: American Psychiatric Association. 2013
  • Gao YX, Wang JY, Dong GH. The prevalence and possible risk factors of internet gaming disorder among adolescents and young adults: systematic reviews and meta-analyses. J Psychiatr Res. 2022;154:35-43. doi:10.1016/j.jpsychires.2022.06.049
  • Stevens MW, Dorstyn D, Delfabbro PH, King DL. Global prevalence of gaming disorder: a systematic review and meta-analysis. Aust N Z J Psychiatry. 2021;55:553-568. doi:10.1177/0004867420962851
  • Göldağ B. Lise öğrencilerinin dijital oyun bağımlılık düzeylerinin demografik özelliklerine göre incelenmesi. Van Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi. 2018;15:1287-1315. doi:10.23891/efdyyu. 2018.105
  • Singh A, Ali A, Choudhury M, Gujar NM. Online gaming and its association with emotional and behavioral problems among adolescents-a study from Northeast India. Archives of Mental Health. 2020;21:71–76. doi:10.4103/AMH.AMH_20_20
  • Zhuang X, Zhang Y, Tang X, Ng TK, Lin J, Yang X. Longitudinal modifiable risk and protective factors of internet gaming disorder: a systematic review and meta-analysis. J Behav Addict. 2023;12:375–392. doi:10.1556/2006.2023.00017
  • Oberle E, Schonert-Reichl KA, Thomson KC. Understanding the link between social and emotional well-being and peer relations in early adolescence: gender-specific predictors of peer acceptance. J Youth Adolesc. 2010;39:1330-1342. doi:10.1007/s10964-009-9486-9
  • Giovazolias T. The relationship of rejection sensitivity to depressive symptoms in adolescence: the indirect effect of perceived social acceptance by peers. Behav Sci (Basel). 2023;14:10. doi:10.3390/bs14010010
  • Steinberg L. Risk taking in adolescence. Current Directions in Psychological Science. 2007;16:55–59. doi:10.1111/j.1467-8721.2007.00475.x
  • Evans GW, Kim P. Childhood poverty, chronic stress, self‐regulation, and coping. Child Development Perspectives. 2012;7:43–48. doi:10.1111/cdep.12013
  • Chen J, Xiong Y, Wang Q, Xu X, Qin X, Ren P. Peer victimization and Internet addiction among adolescents: the role of anger rumination and social dominance orientation. J Adolesc. 2023;95:1578-1589. doi:10.1002/jad.12227
  • Haddad C, Malaeb D, Sacre H, et al. Association of problematic internet use with depression, impulsivity, anger, aggression, and social anxiety: results of a national study among Lebanese adolescents. Pediatr Investig. 2021;5:255-264. doi:10.1002/ped4.12299
  • Anderson CA, Bushman BJ. Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: a meta-analytic review of the scientific literature. Psychol Sci. 2001;12:353-359. doi:10.1111/1467-9280.00366
  • Ryan RM, Rigby CS, Przybylski A. The motivational pull of video games: a self-determination theory approach. Motivation and Emotion. 2006;30:344–360. doi:10.1007/s11031-006-9051-8
  • Cole H, Griffiths MD. Social interactions in massively multiplayer online role-playing gamers. Cyberpsychol Behav. 2007;10:575–583. doi: 10.1089/cpb.2007.9988
  • Gentile DA, Bushman BJ. Reassessing media violence effects using a risk and resilience approach to understanding aggression. Psychology of Popular Media Culture. 2012;1:138–151. doi:10.1037/a0028481
  • Granic I, Lobel A, Engels RC. The benefits of playing video games. Am Psychol. 2014;69:66-78. doi:10.1037/a0034857
  • Gentile DA, Lynch PJ, Linder JR, Walsh DA. The effects of violent video game habits on adolescent hostility, aggressive behaviors, and school performance. J Adolesc. 2004;27:5-22. doi:10.1016/j.adolescence.2003. 10.002
  • Suler J. The online disinhibition effect. Cyberpsychol Behav. 2004;7:321-326. doi:10.1089/1094931041291295
  • Lemmens JS, Valkenburg PM, Gentile DA. The internet gaming disorder scale. Psychol Assess. 2015;27:567-582. doi:10.1037/pas0000062
  • Yalçın Irmak A, Erdoğan S. Dijital Oyun Bağımlılığı Ölçeği Türkçe formunun geçerliliği ve güvenilirliği. Anatolian Journal of Psychiatry/Anadolu Psikiyatri Dergisi. 2015;16 doi:10.5455/apd.170337
  • Spielberger CD. The experience and expression of anger: construction and validation of an anger expression scale. Anger and Hostility in Cardiovascular Behavioral Disorder. 1985:5-30
  • Ozer A. Sürekli öfke ve öfke ifade tarzi ölcekleri ön çalışması. Türk Psikoloji Dergisi. 1994;9:26-35.
  • King D, Delfabbro P. Internet gaming disorder: theory, assessment, treatment, and prevention: Academic Press; 2018
  • Fahrizal Y, Aprilia FD. Family communication experience among students who are addicted to online games. Bali Medical Journal. 2021; 10:1239-1243. doi:10.15562/bmj.v10i3.2858
  • Jeong H, Lee HK, Kwon Y-S, Yim HW, Lee S-Y. Gaming disorder and bidirectional relationships with aggression and impulsivity. Current Opinion in Behavioral Sciences. 2020;31:69-75. doi:10.1016/j.cobeha. 2019.12.003
  • Yen JY, Liu TL, Wang PW, Chen CS, Yen CF, Ko CH. Association between internet gaming disorder and adult attention deficit and hyperactivity disorder and their correlates: Impulsivity and hostility. Addict Behav. 2017;64:308-313. doi:10.1016/j.addbeh.2016.04.024
  • Prescott AT, Sargent JD, Hull JG. Metaanalysis of the relationship between violent video game play and physical aggression over time. Proc Natl Acad Sci U S A. 2018;115:9882-9888. doi:10.1073/pnas.1611617114
  • Gentile DA, Bailey K, Bavelier D, et al. Internet gaming disorder in children and adolescents. Pediatrics. 2017;140:S81-S85. doi:10.1542/peds.2016-1758H

Digital game addiction's sociodemographic risk factors and relationship with anger expression in high school students

Year 2026, Volume: 8 Issue: 1, 77 - 82, 06.01.2026
https://doi.org/10.38053/acmj.1788649

Abstract

Aims: Digital game addiction (DGA) is a significant public health concern with an increasing prevalence in adolescents. DGA’s sociodemographic associated factors and relationship with anger expression have not yet been sufficiently investigated. In this context, this study was conducted to determine DGA’s sociodemographic associated factors and explore the relationship between DGA and anger expression in adolescents.
Methods: This cross-sectional study's population consisted of 558 students between the ages of 15 and 18 enrolled in a high school in Istanbul. The Digital Game Addiction Scale (DGAS-7) was used to evaluate DGA, and the State-Trait Anger Scale (STAS) was used to evaluate anger. The data obtained were evaluated with the Mann-Whitney U test, chi-square test, and Spearman correlation analysis.
Results: The prevalence of DGA in the study sample, which consisted of 148 females and 152 males, was 35%. DGA was significantly higher in male students than female students (43.4% vs. 26.4%, p=0.002). STAS anger expression subscale scores of students with DGA were significantly higher than those without DGA (165.61 vs. 142.36; p=0.024). A significant positive correlation was found between DGA and the mother's education level (p = 0.009). The association with DGA was found to be highest in 9th-grade students (45.3%).
Conclusion: Anger expression was high in adolescents with DGA. Male gender, low-grade level, and high educational level of the mother were found to be associated factors for DGA. Intervention programs aimed at preventing DGA need to address these associated factors.

Ethical Statement

The study protocol was approved by the Non-Interventional Clinical Research Ethics Committee of Haliç University on November 24, 2017 (approval no: 204).

Supporting Institution

No supporting institution.

Project Number

204

References

  • Diagnostic A. Statistical manual of mental disorders: DSM-5 (ed.) Washington. DC: American Psychiatric Association. 2013
  • Gao YX, Wang JY, Dong GH. The prevalence and possible risk factors of internet gaming disorder among adolescents and young adults: systematic reviews and meta-analyses. J Psychiatr Res. 2022;154:35-43. doi:10.1016/j.jpsychires.2022.06.049
  • Stevens MW, Dorstyn D, Delfabbro PH, King DL. Global prevalence of gaming disorder: a systematic review and meta-analysis. Aust N Z J Psychiatry. 2021;55:553-568. doi:10.1177/0004867420962851
  • Göldağ B. Lise öğrencilerinin dijital oyun bağımlılık düzeylerinin demografik özelliklerine göre incelenmesi. Van Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi. 2018;15:1287-1315. doi:10.23891/efdyyu. 2018.105
  • Singh A, Ali A, Choudhury M, Gujar NM. Online gaming and its association with emotional and behavioral problems among adolescents-a study from Northeast India. Archives of Mental Health. 2020;21:71–76. doi:10.4103/AMH.AMH_20_20
  • Zhuang X, Zhang Y, Tang X, Ng TK, Lin J, Yang X. Longitudinal modifiable risk and protective factors of internet gaming disorder: a systematic review and meta-analysis. J Behav Addict. 2023;12:375–392. doi:10.1556/2006.2023.00017
  • Oberle E, Schonert-Reichl KA, Thomson KC. Understanding the link between social and emotional well-being and peer relations in early adolescence: gender-specific predictors of peer acceptance. J Youth Adolesc. 2010;39:1330-1342. doi:10.1007/s10964-009-9486-9
  • Giovazolias T. The relationship of rejection sensitivity to depressive symptoms in adolescence: the indirect effect of perceived social acceptance by peers. Behav Sci (Basel). 2023;14:10. doi:10.3390/bs14010010
  • Steinberg L. Risk taking in adolescence. Current Directions in Psychological Science. 2007;16:55–59. doi:10.1111/j.1467-8721.2007.00475.x
  • Evans GW, Kim P. Childhood poverty, chronic stress, self‐regulation, and coping. Child Development Perspectives. 2012;7:43–48. doi:10.1111/cdep.12013
  • Chen J, Xiong Y, Wang Q, Xu X, Qin X, Ren P. Peer victimization and Internet addiction among adolescents: the role of anger rumination and social dominance orientation. J Adolesc. 2023;95:1578-1589. doi:10.1002/jad.12227
  • Haddad C, Malaeb D, Sacre H, et al. Association of problematic internet use with depression, impulsivity, anger, aggression, and social anxiety: results of a national study among Lebanese adolescents. Pediatr Investig. 2021;5:255-264. doi:10.1002/ped4.12299
  • Anderson CA, Bushman BJ. Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: a meta-analytic review of the scientific literature. Psychol Sci. 2001;12:353-359. doi:10.1111/1467-9280.00366
  • Ryan RM, Rigby CS, Przybylski A. The motivational pull of video games: a self-determination theory approach. Motivation and Emotion. 2006;30:344–360. doi:10.1007/s11031-006-9051-8
  • Cole H, Griffiths MD. Social interactions in massively multiplayer online role-playing gamers. Cyberpsychol Behav. 2007;10:575–583. doi: 10.1089/cpb.2007.9988
  • Gentile DA, Bushman BJ. Reassessing media violence effects using a risk and resilience approach to understanding aggression. Psychology of Popular Media Culture. 2012;1:138–151. doi:10.1037/a0028481
  • Granic I, Lobel A, Engels RC. The benefits of playing video games. Am Psychol. 2014;69:66-78. doi:10.1037/a0034857
  • Gentile DA, Lynch PJ, Linder JR, Walsh DA. The effects of violent video game habits on adolescent hostility, aggressive behaviors, and school performance. J Adolesc. 2004;27:5-22. doi:10.1016/j.adolescence.2003. 10.002
  • Suler J. The online disinhibition effect. Cyberpsychol Behav. 2004;7:321-326. doi:10.1089/1094931041291295
  • Lemmens JS, Valkenburg PM, Gentile DA. The internet gaming disorder scale. Psychol Assess. 2015;27:567-582. doi:10.1037/pas0000062
  • Yalçın Irmak A, Erdoğan S. Dijital Oyun Bağımlılığı Ölçeği Türkçe formunun geçerliliği ve güvenilirliği. Anatolian Journal of Psychiatry/Anadolu Psikiyatri Dergisi. 2015;16 doi:10.5455/apd.170337
  • Spielberger CD. The experience and expression of anger: construction and validation of an anger expression scale. Anger and Hostility in Cardiovascular Behavioral Disorder. 1985:5-30
  • Ozer A. Sürekli öfke ve öfke ifade tarzi ölcekleri ön çalışması. Türk Psikoloji Dergisi. 1994;9:26-35.
  • King D, Delfabbro P. Internet gaming disorder: theory, assessment, treatment, and prevention: Academic Press; 2018
  • Fahrizal Y, Aprilia FD. Family communication experience among students who are addicted to online games. Bali Medical Journal. 2021; 10:1239-1243. doi:10.15562/bmj.v10i3.2858
  • Jeong H, Lee HK, Kwon Y-S, Yim HW, Lee S-Y. Gaming disorder and bidirectional relationships with aggression and impulsivity. Current Opinion in Behavioral Sciences. 2020;31:69-75. doi:10.1016/j.cobeha. 2019.12.003
  • Yen JY, Liu TL, Wang PW, Chen CS, Yen CF, Ko CH. Association between internet gaming disorder and adult attention deficit and hyperactivity disorder and their correlates: Impulsivity and hostility. Addict Behav. 2017;64:308-313. doi:10.1016/j.addbeh.2016.04.024
  • Prescott AT, Sargent JD, Hull JG. Metaanalysis of the relationship between violent video game play and physical aggression over time. Proc Natl Acad Sci U S A. 2018;115:9882-9888. doi:10.1073/pnas.1611617114
  • Gentile DA, Bailey K, Bavelier D, et al. Internet gaming disorder in children and adolescents. Pediatrics. 2017;140:S81-S85. doi:10.1542/peds.2016-1758H
There are 29 citations in total.

Details

Primary Language English
Subjects Clinical Psychology
Journal Section Research Article
Authors

Gizem Çakıcı Yaşar 0000-0002-6753-5021

Ayşegül Yetkin Tekin 0000-0001-8176-7657

Pınar Algedik 0000-0002-9617-6224

Project Number 204
Submission Date September 25, 2025
Acceptance Date December 17, 2025
Publication Date January 6, 2026
Published in Issue Year 2026 Volume: 8 Issue: 1

Cite

AMA Çakıcı Yaşar G, Yetkin Tekin A, Algedik P. Digital game addiction’s sociodemographic risk factors and relationship with anger expression in high school students. Anatolian Curr Med J / ACMJ / acmj. January 2026;8(1):77-82. doi:10.38053/acmj.1788649

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