Online games and cognitive distortionsa comparative analysis in students with and without disabilities

  1. Raquel Suriá Martínez 1
  2. Fernando García Castillo 1
  3. Carmen López Sánchez 1
  4. Esther Villegas 1
  5. Carmen Carretón 1
  1. 1 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Revista:
EJIHPE: European Journal of Investigation in Health, Psychology and Education

ISSN: 2174-8144,  2254-9625

Ano de publicación: 2024

Volume: 14

Número: 7

Páxinas: 1868-1880

Tipo: Artigo

DOI: 10.3390/EJIHPE14070123 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Outras publicacións en: EJIHPE: European Journal of Investigation in Health, Psychology and Education

Resumo

Online games have experienced significant growth in recent years, with gaming becoming a popular form of entertainment for people of all ages. However, their impact on cognition, especially among vulnerable groups such as students with disabilities, is a topic that requires deeper exploration. The objectives of this study are twofold: firstly, to understand the typology of risk players (non-risk players, players with problems, and pathological players); and secondly, to compare cognitive distortions among students with problematic profiles. Both objectives will be analyzed based on the presence or absence of disability. A total of 704 students from various Spanish universities (135 with disabilities and 569 without disabilities), aged between 18 and 38, participated in the study by completing the Gamblers Belief Questionnaire (GBQ), aimed at measuring cognitive distortions related to gambling problems, as well as the Massachusetts Gambling Screen questionnaire, aimed at measuring gambling addiction. The results indicate a higher percentage of students with disabilities showing a greater risk profile for addiction. Additionally, this group of students exhibits more cognitive distortions. These findings underscore the need for a comprehensive approach to addressing online gaming addiction and cognitive distortions among university students, with and without disabilities. Preventive measures are necessary, such as education on responsible technology use and the promotion of alternative activities. Moreover, specific intervention strategies need to be developed, including access to psychological health services for this student population.

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Información de financiamento

Financiadores

  • Ministry of Consumer Affairs

Referencias bibliográficas

  • Duplaga, M.; Szulc, K. The association of internet use with wellbeing, mental health and health behaviours of persons with disabilities. Int. J. Environ. Res. Public Health 2019, 16, 3252.
  • Larsson, L.; Håkansson, A. Mental illness and socio-economic situation of women and men diagnosed with gambling disorder (GD) in Sweden-nationwide case-control study. PLoS ONE 2022, 17, e0274064.
  • McCormack, A.; Griffiths, M.D. A scoping study of the structural and situational characteristics of internet gambling. Int. J. Cyber Behav. Psychol. Learn. 2013, 3, 29–49.
  • Morahan-Martin, J.; Schumacher, P. Loneliness and social uses of the Internet. Comput. Human. Behav. 2003, 19, 659–671.
  • Håkansson, A.; Ford, M. The General Population’s View on Where to Seek Treatment for Gambling Disorder—A General Pop-ulation Survey. Psychol. Res. Behav. Manag. 2019, 12, 1137–1146.
  • Krishnamurthy, S.; Chetlapalli, S.K. Internet addiction: Prevalence and risk factors: A cross-sectional study among college students in Bengaluru, the Silicon Valley of India. Indian J. Public Health 2015, 59, 115–121.
  • López-Fernández, V.; Llamas-Salguero, F. Neuropsicología del proceso creativo. Un enfoque educativo. Rev. Complut. Educ. 2018, 29, 113–127.
  • González-Bueso, V.; Santamaría, J.J.; Fernández, D.; Merino, L.; Montero, E.; Ribas, J. Association between internet gaming disorder or pathological video-game use and comorbid psychopathology: A comprehensive review. Int. J. Environ. Res. Public Health 2018, 15, 668.
  • Martín Labora, R. Las Nuevas Tecnologías en La Educación; Cuadernos/Sociedad de la Información 5; Auna Fundación: Madrid, Spain, 2005.
  • Chia, D.X.; Ng, C.W.; Kandasami, G.; Seow, M.; Choo, C.C.; Chew, P.K.; Lee, C.; Zhang, M.W. Prevalence of internet addiction and gaming disorders in Southeast Asia: A meta-analysis. Int. J. Environ. Res. Public Health 2020, 17, 2582.
  • Martínez, R.; Castrillo, E.V.; Sánchez, C.L.; Ballester, C.C.; García-Castillo, F. Comparative Analysis of Abuse in Online Games Between University Students With and Without Disabilities. Rev. Gestão Soc. Ambient. 2024, 18, e06492.
  • Krébesz, R.; Ötvös, D.K.; Fekete, Z. Non-problem gamblers show the same cognitive distortions while playing slot machines as problem gamblers, with no loss of control and reduced reality control, though–An experimental study on gambling. Front. Psychol. 2023, 14, 1175621.
  • Ledgerwood, D.M.; Dyshniku, F.; McCarthy, J.E.; Ostojic, D.; Forfitt, J.; Rumble, S. Gambling-Related Cognitive Distortions in Residential Treatment for Gambling Disorder. J. Gambl. Stud. 2020, 36, 669–683.
  • Mallorquí-Bagué, N.; Vintró-Alcaraz, C.; Verdejo-García, A.; Granero, R.; Fernández-Aranda, F.; Magaña, P.; Mena-Moreno, T.; Aymamí, N.; Gómez-Peña, M.; Del Pino-Gutiérrez, A.; et al. Impulsivity and cognitive distortions in different clinical phenotypes of gambling disorder: Profiles and longitudinal prediction of treatment outcomes. Eur. Psychiatry 2019, 61, 9–16.
  • Billieux, J.; Potenza, M.N.; Maurage, P.; Brevers, D.; Brand, M.; King, D.L. Cognitive factors associated with gaming disorder. In Cognition and Addiction; Elsevier: Amsterdam, The Netherlands, 2020; pp. 221–230.
  • King, D.L.; Delfabbro, P.H. The cognitive psychology of Internet gaming disorder. Clin. Psychol. Rev. 2014, 34, 298–308.
  • Marino, C.; Canale, N.; Vieno, A.; Caselli, G.; Scacchi, L.; Spada, M.M. Social anxiety and Internet gaming disorder: The role of motives and metacognitions. J. Behav. Addict. 2020, 9, 617–628.
  • Goodie, A.S.; Sankar, A.R.; Doshi, P. Experience, risk, warnings, and demographics: Predictors of evacuation decisions in Hurricanes Harvey and Irma. Int. J. Disaster Risk Reduct. 2019, 41, 101320.
  • Fontaine, L.; McCabe, A. Systemic functional linguistics. In The Routledge Handbook of Applied Linguistics; Routledge: London, UK, 2023; pp. 322–335.
  • Winters, K.C.; Stinchfield, R.D.; Henly, G.A. Further validation of new scales measuring adolescent alcohol and other drug abuse. J. Stud. Alcohol 1993, 54, 534–541.
  • Steenbergh, T.A.; Meyers, A.W.; May, R.K.; Whelan, J.P. Development and validation of the Gamblers’ Beliefs Questionnaire. Psychol. Addict. Behav. 2002, 16, 143–149.
  • Balanzá–Martínez, V.; Atienza–Carbonell, B.; Kapczinski, F.; De Boni, R.B. Lifestyle behaviours during the COVID-19–time to connect. Acta Psychiatr. Scand. 2020, 141, 399.
  • Blasco, V.J.V.; Sellés, P.M.; Folgar, M.I.; Silvestre, V.V.; Blay, P.; Martínez, A.V. Impacto de las medidas de confinamiento durante la pandemia de COVID-19 en el consumo de riesgo de alcohol. Rev. Esp. Salud Publica 2021, 95, 140.
  • Fazeli, S.; Zeidi, I.M.; Lin, C.; Namdar, P.; Griffiths, M.D.; Ahorsu, D.K.; Pakpour, A.H. Depression, anxiety, and stress mediate the associations between internet gaming disorder, insomnia, and quality of life during the COVID-19 outbreak. Addict. Behav. Rep. 2020, 12, 100307.
  • Medina-Ortiz, O.; Araque-Castellanos, F.; Ruiz-Domínguez, L.C.; Riaño-Garzón, M.; Bermudez, V. Trastornos del sueño a consecuencia de la pandemia por COVID-19. Rev. Peru. Med. Exp. Salud Pública 2021, 37, 755–761.
  • Moro, T.; Tinsley, G.; Pacelli, F.Q.; Marcolin, G.; Bianco, A.; Paoli, A. Twelve Months of Time-restricted Eating and Resistance Training Improves Inflammatory Markers and Cardiometabolic Risk Factors. Med. Sci. Sports Exerc. 2021, 53, 2577–2585.
  • Hardoon, K.K.; Derevensky, J.L. Child and adolescent gambling behavior: Current knowledge. Clin. Child. Psychol. Psychiatry 2002, 7, 263–281.
  • García-Ruíz, R.; Bonilla-del-Río, M. Alfabetización mediática y discapacidad: Una apuesta necesaria para la inclusión social y digital. In Discapacidad y TIC: Estrategias de Equidad, Participación e Inclusión; En: Muñoz-Borja, P., Ed.; Editorial Universidad Santiago de Cali: Cali, Colombia, 2020; pp. 60–95.
  • Pallesen, S.; Bjorvatn, B.; Waage, S.; Harris, A.; Sagoe, D. Prevalence of shift work disorder: A systematic review and meta-analysis. Front. Psychol. 2021, 12, 638252.
  • Alcaín Martínez, E.; Medina-García, M. Hacia una educación universitaria inclusiva: Realidad y retos. Rev. Dig. Investig. Doc. Univ. 2017, 11, 4–19.
  • Martínez-López, E.J.; Zamora-Aguilera, N.; Grao-Cruces, A.; De la Torre-Cruz, M.J. The Association Between Spanish Physical Education Teachers’ Self-Efficacy Expectations and Their Attitudes Toward Overweight and Obese Students. J. Teach. Phys. Educ. 2017, 36(2).
  • Valenzuela-Zambrano, B.; López-Justicia, M.D. Autoconcepto de estudiantes universitarios chilenos con discapacidad. Diferencias en función del género. Rev. Educ. Inclusiva. 2015, 8, 153–170.
  • Corney, R.; Davis, J. The attractions and risks of Internet gambling for women: A qualitative study. J. Gambl. Issues 2010, 24, 121–139.
  • Pitt, H.; Thomas, S.L.; Watson, J.; Shuttleworth, R.; Murfitt, K.; Balandin, S. How do people with intellectual disability engage with and understand gambling? A qualitative study of adults in Victoria, Australia. Front. Public. Health 2021, 8, 536520.
  • Scheidemantel, T.; Braun-Gabelman, A.; Stefanac, K.; Ruedrich, S.; Kotz, M. Playing with a Stacked Deck: Literature Review and Case Series of Problem Gambling in Adults with Intellectual and Developmental Disabilities. J. Gambl. Stud. 2019, 35, 987–995.
  • Frimpong, R.; Acheampong, E.Y. “If You Don’t Arrange Your Bets Well You Will Still Lose”: Gambling Strategies of Visually Impaired Students. J. Gambl. Stud. 2024, 22, 1–22.
  • Maïano, C.; Hue, O.; April, J. Effects of motor skill interventions on fundamental movement skills in children and adolescents with intellectual disabilities: A systematic review. J. Intellect. Disabil. Res. 2019, 63, 1163–1179.
  • Polo Sánchez, M.T.; López Justicia, M.D. Transición al empleo de estudiantes con discapacidad: Componentes para el éxito. Univ. Psychol. 2016, 15, 273–285.
  • Suriá Martínez, R. Expectativas de inserción laboral y autoeficacia laboral en estudiantes con diversidad funcional: Influencia del tipo, grado y etapa en la que sobreviene. Profesorado 2022, 26, 243–263.
  • Griffiths, M. A ‘components’ model of addiction within a biopsychosocial framework. J. Subst. Use 2005, 10, 191–197.
  • Umalla-Taylor, A.J.; Tynes, B.M.; Toomey, R.B.; Williams, D.R.; Mitchell, K.J. Latino adolescents’ perceived dis-crimination in online and offline settings: An examination of cultural risk and protective factors. Dev. Psychol. 2015, 51, 87–100.
Fonte de datos: Dialnet