Effects of social cognitive enhancement with family involvement program on game addictive prevention in male junior high school students

Authors

  • Pagagrong Laolam Faculty of Public Health, Mahidol University, Bangkok, Thailand
  • Punyarat Lapvongwatana Faculty of Public Health, Mahidol University, Bangkok, Thailand
  • Natkamol Chansatitporn Faculty of Public Health, Mahidol University, Bangkok, Thailand

Keywords:

Game addictive prevention, social cognitive theory, family involvement, male junior high school students

Abstract

Background: Gaming addiction is addressed in the 11th revision of the International Classification of Diseases (ICD-11) as its high negative effects to personal, family, social, educational, and occupational aspects of adolescents’ life.

Objective: This quasi-experimental research aimed to examine positive effects of social cognitive enhancement with family involvement (SCEFI) program on game addictive prevention in male junior high school.

Methods: Sixty-two of 8th Grade students were equally assigned into the experimental and comparison groups. The experimental group received the SCEFI program plus one activity of family involvement while the comparison group received routine activities. The study intervention was 7 weeks with 3 times data collection at: before-intervention, immediately after-intervention, and 4 week follow-up.

Results: The results revealed that those within the experimental group had significantly higher mean scores of game addiction knowledge, self-regulation in game playing, and game monitor behaviors than those before-intervention (P < 0.001) and also higher than those in the comparison group at immediately after-intervention and at follow-up (P < 0.001). Additionally, those within the experimental group showed significantly lower levels of game addiction at immediately after-intervention and at follow-up than those before-intervention (P < 0.001) and also lower than those in the comparison group at immediately after-intervention and at follow-up (P < 0.001).

Conclusion: This program is successfully implemented and should be further suggested to enable the social cognitive thinking of those with addictions to reduce their levels and also to prevent novice students from game initiation.

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References

Word Health Organization. Gaming disorder [Internet]. 2018 [cited 2019 April 4]. Available from: http://apps. who.int/features/qa/gaming-disorder/en/.

Child and Adolescent Mental Health Rajanagarindra Institute (CAMRI). Game addiction, Observation and Prevention [Internet]. 2018 [cited 2018 May 3]. Available from: https://www.new.smartteen.net/infographic/38

Feng W, Ramo DE, Chan SR, Bourgeols JA. Internet gaming disorder: trends in prevalence 1998-2016. Addict Behav 2017;75:17-24.

https://doi.org/10.1016/j.addbeh.2017.06.010

Gentile DA, Bailey K, Bavelier D, Brockmyer JF, Cash H, Coyne SM, et al. Internet gaming disorder in children and adolescents. Pediatrics 2017;140:S81-S5. https://doi.org/10.1542/peds.2016-1758H

ThaiPR.net [Internet]. The launch of the coordination for supporting the Child Online Protection Action Thailand (COPAT); 2018 [cited 2018 May 3]. Available from: https://www.ryt9.com/s/prg/2765629

Chatchawarat P, Petchwang D. Factors related to game addiction among teenagers. Kasalongkham Res J 2013;7:39-48.

Kolkijkovin V, Wisitpongaree C, Techakasem P, Pornnoppadol C, Supawattanabodee B. Computer game addiction: risk and protective factors in students in Dusit District, Bangkok. Vajira Med J 2015;59:1-13.

Department of Mental Health. Gaming disorder is psychiatric illness [Internet]. 2018 [cited 2019 April 1]. Available from:https://www.prdmh.com/infographic/90-infographic/1254.

Karamee A, Chanthapreeda N. Effects of the selfefficacy promoting program on computer game playing among in school age children. J Nurs Sci Health Thailand 2019;42:83-96.

Apisitwasana N, Perngparn U, Cottler LB. Effectiveness of school-and family-based intervention to prevent gaming addiction among grades 4-5 students in Bangkok, Thailand. Psycho Res Behav Manag 2018;11:103-15.https://doi.org/10.2147/PRBM.S145868

Lianyang T, Intrapro P. Effect of the self-control program on online game addiction behavior of upper secondary school students. Panyapiwat J Thailand 2015;7:185-93.

Aeksunti T, Tansakul S, Lagumpan S, Virutsertasin K. Application of life skills and social support to modify adolescents online game playing behavior. J Health Education Thailand 2011;34:68-83.

Sugaya N, Shirasaka T, Takahashi K, Kanda H. Family factor in adolescent problematic internet Gaming: A systematic review. J Behav Addict 2019;6:321-33.

Areekul W. Adolescent health care and supervision. Bangkok: Department of Pediatricts, Phramongkutklao Hospital and College of Medicine; 2010.

Lomlai P. The effectiveness of prevention program applying the theory of planned behavior on risk behavior of game addiction among secondary school students [Master's Thesis] Nakhon Pathom: Mahidol University; 2011.

Muensurin S, Suanpairoth S. Group process and family participation for reducing game addiction of adolescents. J Education Prince Songkla University Thailand 2018;114-26.

Riesch SK, Anderson LS, Pridham KA, Lutz KF, Becker PT. Furthering the understanding of parent child relationships: A nursing scholarship review series. Part 5: Parent-adolescent and teen parent-child relationships. J Spec Pediatr Nurs 2010;15:182-201.

https://doi.org/10.1111/j.1744-6155.2009.00228.x

Bonnaire C, Liddle HA, Har A, Nielsen P, Phan O. Why and how to include parents in the treatment of adolescents presenting Internet gaming disorder?. J Behav Addict 2019;8:201-12. https://doi.org/10.1556/2006.8.2019.27

Chen L, Liu R, Zeng H, Xu X, Zhu R, Sharma M, et al. Predicting the time spent playing computer and mobile game among medial undergraduate students using interpersonal relations and social cognitive theory: A cross sectional survey in Chongqing, China. Int J Environ Res Pub Health 2018;15:1664. https://doi.org/10.3390/ijerph15081664

Bandura A. Social foundation of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall; 1986.

Bandura A. Self-efficacy: The exercise of control. New York: W. H. Freeman; 1997.

Twisk JWR. Applied longitudinal data analysis for epidemiology: A practical guide. Cambridge: Cambridge University Press; 2003.

Srinuan C, Rakumpan S, Paowattana A, Togvichian S. Family developmental task program for the prevention of computer game addiction in school-age children. J Mental Health Thai 2010;18:45-55.

Pornnoppadol C, Sornpaisarn B, Khamklieng K, Pattana-amorn S. The development of game addiction screening test. J Psychiatr Assoc Thai 2014;59:3-14.

Bloom BS, Englehart MD, Hill WH, Krathwohl DRA. Taxonomy of education objectives: the classification of educational goals. Handbook 1: Cognitive domain. New York: David Mckay;1956.

Ferreira FM, Bambini BB, Tonsig GK, Fonseca L, Picon FA, Pan PM, et al. Predictors of gaming disorder in children and adolescents: A school-based study. Braz J Psychiatry 2021;43:289-92. https://doi.org/10.1590/1516-4446-2020-0964

Irmak AY, Erdoğan S. Predictors for digital game addiction among Turkish adolescents: A cox's interaction model-based study. J Addict Nurs 2019;30:49-56. https://doi.org/10.1097/JAN.0000000000000265

Hamu AH, Yusuf A, Sufyanti YA, Margono HM, PD T, Fauzi A. The effect of cognitive commitment of behavioral therapy on internet addiction among adolescents in Kupang City. Int J Nurs Health Service 2020;3:87-95.

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Published

2023-07-17

How to Cite

1.
Laolam P, Lapvongwatana P, Chansatitporn N. Effects of social cognitive enhancement with family involvement program on game addictive prevention in male junior high school students. Chula Med J [Internet]. 2023 Jul. 17 [cited 2024 Nov. 22];66(2). Available from: https://he05.tci-thaijo.org/index.php/CMJ/article/view/74