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The Korean Journal of Health Psychology

  • KOREAN
  • P-ISSN1229-070X
  • E-ISSN2713-9581
  • KCI

The Moderating Effect of Metacognition and Meta-mood on the Relationship between Negative Emotion and Internet Addiction in Adolescents

The Korean Journal of Health Psychology / The Korean Journal of Health Psychology, (P)1229-070X; (E)2713-9581
2012, v.17 no.1, pp.229-242
https://doi.org/10.17315/kjhp.2012.17.1.013



Abstract

The purpose of this study was to examine the moderating effect of metacognition and meta-mood on the relationship between negative emotion and internet addiction in adolescents. For this study, a sample of 396 high school students, in Seoul (296 boys, 137 girls), completed the questionnaires of the following: Internet Addiction Scale, Metacognitions Questionnaire, Trait Meta-Mood Scale, Beck Depression Inventory and Beck Anxiety Inventory. The data were analyzed by hierarchial regression analysis. The result showed significant three-way interaction effect of negative emotion, metacognition and meta-mood, on internet addiction. Thus, this study confirmed the moderating effect of metacognition and meta-mood on the relationship between negative emotion and internet addiction. Interaction effect, between each variable and internet addiction, varied depending on the level of negative emotion. It was shown that the higher the level of metacognition and the lower the level of meta-mood, the higher risk for the adolescents to have high level of negative emotiont. Likewise, the higher the level of metacongnition and the lower the level of meta-mood, the higher risk of internet addiction in adolescents who had low levels of negative emotion. However, with lower level of metacognition, meta-mood had no effect on internet addiction. Finally, the implications and limitations of this study were discussed.

keywords
internet addiction, adolescent, high school student, negative emotions, depression, anxiety, metacogniton, meta-mood, emotional intelligence, 인터넷 중독, 청소년, 고등학생, 부정적 정서, 우울, 불안, 메타인지, 메타기분, 정서지능

Reference

1.

김병구, 김동일, 김동민, 고영삼, 엄나래, 이은아, 정여주,조영미 (2008). 청소년 인터넷중독 자가진단 척도 고도화 연구. 한국정보문화진흥원, 7-13.

2.

김정모 (2011). 마음챙김에 기초한 인지치료가 공감 능력에 미치는 효과. 한국심리학회지: 상담 및 심리치료, 23(1), 27-45.

3.

김진영 (2010). 청소년의 열등감과 공격성 간 관계에서지각된 정서적 유능성과 분노 통제의 중재효과. 한국심리학회지: 건강, 15(4), 725-746.

4.

김진영, 고영건 (2007). 한(恨)과 주관적 정서 간 관계에서의 특성메타-기분의 중재효과. 한국심리학회지: 일반, 26(2), 245-259.

5.

남상천, 송기상 (2010) fMRI를 이용한 온라인게임 중독특성 분석. 한국컴퓨터교육학회지, 13(6),35-42.

6.

설순호, 권석만, 신민섭 (2007). 걱정과 강박사고에 대한인지적 평가와 통제방략. 한국심리학회지: 임상,26(1), 125-144.

7.

신아영, 김정호, 김미리혜 (2010). 정서 마음챙김이 여자대학생의 정서인식의 명확성, 인지적 정서 조절과 스트레스 및 웰빙에 미치는 효과. 한국심리학회지: 건강, 15(4), 635-652.

8.

안혜영 (2003). 초등학생의 인터넷 게임 중독과 감성지능 및 학교생활 적응간의 관계. 단국대학교 대학원 석사학위 논문.

9.

육성필, 김중술 (1997). 한국판 Beck Anxiety Inventory의 임상적 연구: 환자군과 비환자군의 비교. 한국심리학회지: 임상, 16(1), 185-197.

10.

이수정, 이훈구 (1997). Trait meta-mood scale의 타당화에 관한 연구: 정서지능의 하위 요인에 대한탐색. 한국심리학회지: 사회 및 성격, 11(1),95-116.

11.

이영호, 송종영 (1991). BDI, SDS, MMPI-D 척도의 신뢰도 및 타당도에 대한 연구. 한국심리학회지:임상, 10(1), 98-113.

12.

이형초 (2002). 인터넷 게임중독의 인지행동치료 프로그램 개발 및 효과 검증. 한국심리학회지: 건강,7(3), 463-486.

13.

정은실, 손정락 (2011). 마음챙김 기반 인지치료(MBCT)프로그램이 대학생의 인터넷 중독 수준, 불안및 스트레스에 미치는 효과. 한국심리학회지:임상, 30(4), 825-843.

14.

조성은, 오경자 (2007). 정서인식의 명확성, 정서강도,정서주의력과, 스트레스 대처 및 우울과의 관계. 한국심리학회지: 건강, 12(4), 797-812.

15.

조소현 (2005). 정서 강도와 정서 인식의 명확성이 자기파괴적 충동 행동에 미치는 영향: 폭식 행동과중독적 인터넷 사용을 중심으로. 연세대학교대학원 석사학위 논문.

16.

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.

17.

Beard, K. W., & Wolf, E. M. (2001). Modification in the proposed diagnostic criteria for Internet addiction. Cyberpsychology and Behavior, 4, 377-383.

18.

Caplan, S. E. (2002). Problematic Internet use and psychosocial well-being: development of a theory-based cognitive-behavioral measurement instrument. Computers in Human Behavior, 18, 553-575.

19.

Chen, X., Zhang, D., Zhang, X., Li, Z., Meng, X., He, S., & Hu, X. (2003). A functional MRI study of high-level cognition II. The game of GO. Cognitive Brain Research. 16, 32-37.

20.

Cohen, J., Cohen, P., Leona, S. A., & West, S. H.(2003). Applied multiple regression/correlation analysis for the behavioralsciences. London: Routledge.

21.

Davis, R. A. (2001). A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior, 17, 187-195.

22.

Davis, R. A., Flett, G. L., & Besser, A. (2002). Validation of a new scale for measuring problematic internet use: implications for pre-employment screening. Cyberpsychology and Behavior, 5, 331-345.

23.

Flavell, J. H. (1976). Metacognitive aspects of problem solving: The nature of intelligence. Hillsdale: Lawrence Erlbaum Associates. http://en.wikipedia.org/wiki/Metacognition.html . 에서 2011. 10, 5 인출.

24.

Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitivedevelopmental inquiry. American Psychologist, 34, 906-911.

25.

Ko, C. H., Liu, G. C., Hsiao, S., Yen, J. Y., Yang, M. J., Lin, W. C., Yen, C. F., & Chen, C. S. (2009). Brain activities associated with gaming urge of online gaming addiction. Journal of Psychiatric Research, 43, 739-747.

26.

Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukopadhyay, T., & Scherlis, W. (1998). Internet Paradox. American psychological Association, 53, 1017-1031.

27.

Lee, Y. S., Han. D. H., Yang, K. C., Daniels, M. A., Na, C., Kee, B. S., & Renshaw, P. F. (2008). Depression like characteristics of 5HTTLPR polymorphism and temperament in excessive internet users. Journal of Affective Disorders, 109. 165-169.

28.

Neivid, J. S., Rathus, S. A., & Greene, B. (2008). Abnormal psychology in a changing world. New Jersey: Prentice Hall.

29.

MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York: Lawrence Erlbaum.

30.

Mayer, J. D., Caruso, D., & Salovey, P. (2000). Emotional intelligence meets traditional standards for an intelligence. Intelligence, 27, 267-298.

31.

Mayer, J. D., & Gaschke, Y. N. (1988). The experience and meta-experience of mood. Journal of Personality and Social Psychology, 55, 102-111.

32.

Mayer, J. D., & Salovey, P. (1993). The intelligence of emotional intelligence. Intelligence, 17, 433-442.

33.

Mayer, J. D., Salovey, P., Kaufman, G. S., & Blainey, K. (1991). A broader conception mood experience. Journal of Personality and Social Psychology, 60, 100-111.

34.

Mayer, J. D., & Stevens, A. A. (1994). An emerging understanding of the reflective(meta-) experience of mood. Journal of research in personality, 28, 351-373.

35.

Morgan, C., & Cotten, S. (2003). The relationship between Internet activities and depressive symptoms in a sample of college freshmen. CyberPsychology and Behavior, 6, 133-42.

36.

Neivid, J. S., Rathus, S. A., & Greene, B. (2008). Abnormal psychology in a changing world. Pearson Education International: Prentice Hall.

37.

Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9, 185-211.

38.

Salovey, P., Mayer, J. D., Goldman, S. L., Turvey, C.,& Palfai, T. P. (1995). Emotion attention,clarity and repair: Exploring emotionalintellidence using the trait meta-mood scale.American psychological Association, 7,125-154.

39.

Sanders, C. E., Field, T. M., Diego, M., & Kaplan, M.(2000). The relationship of Internet use todepression and social isolation amongadolescents. Adolescence, 35, 237-242.

40.

Shaffer, H. J., Hall, M. N., & Vander, B. J. (2000).‘‘Computer addiction’’: a critical consideration.American Journal of Orthopsychiatry, 70,162-68.

41.

Spada, M. M., & Wells, A. (2006). Metacognitions about alcohol use in problem drinkers. Clinical Psychology and Psychotherapy, 13, 138-143.

42.

Spada, M. M., & Wells, A. (2009). A metacognitive model of problem drinking. Clinical Psychology and Psychotherapy, 10, 1002- 1013.

43.

Spada, M. M., Langston, B., Nikevic, A. V., & Moneta, G. B. (2008). The role of metacognitions in problematic Internet use. Computers in Human Behavior, 24, 2325-2335.

44.

Spada, M. M., Nikevic, A. V., Moneta, G. B., & Wells, A. (2007). Metacognition as a mediator of the relationship between emotion and smoking dependence. Addictive Behaviors, 32, 2120-2129.

45.

Suls, J. (2001). Affect, stress and personality. In Joseph, P. F. (Ed.), Handbook of affect and social cognition (pp. 399-411). NJ: Erlbaum.

46.

Teasdale, J. D. (1999). Metacognition, Mindfulness and the Modification of Mood Disorders. Clinical Psychology and Psychotherapy, 6, 146-155.

47.

Wan, C. S., & Chiou, W. B. (2006). Psychological motives and online games addiction: A test of flow theory and humanistic needs theory for Taiwanese adolescents. CyberPsychology and Behavior, 9, 317-24.

48.

Wells, A. (1999). A metacognitive model and therapy for generalized anxiety disorder. Clinical Psychology and Psychotherapy, 6, 86-95.

49.

Wells, A. (2000). Emotional Disorders and Metacognition. Psychological Medicine, 32, 749-753.

50.

Wells, A., & Cartwright-Hatton, S. (2004). A short form of the metacognitions questionnaire: Properties of the MCQ-30. Behaviour Research and Therapy, 42, 385-396.

51.

Wells, A., & King, P. (2005). Metacognitive therapy for generalized anxiety disorder: An open trial. Behavior Therapy and Experimental Psychiatry, 37, 206-212.

52.

Wells, A., & Matthews, G. (1994). Attention and emotion: a clinical perspective. Hillsdale : Erlbaum.

53.

Wells, A., & Matthews, G. (1996). Modelling cognition in emotional disorder: the S-REF model. Behaviour Research and Therapy, 32, 867-870.

54.

Young, K. S. (1996). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology and Behavior, 1, 237-244.

55.

Young, K. S., & Rogers, R. C. (1998). The relationship between depression and Internet addiction. CyberPsychology and Behavior, 1, 25-28.

The Korean Journal of Health Psychology