2020
DOI: 10.1016/j.addbeh.2020.106445
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The association of cognitive distortions and the type of gambling in problematic and disordered gambling

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Cited by 12 publications
(6 citation statements)
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“…Regarding cognitive flexibility, error rates differed significantly between groups ( p = .02), where people who bet on sports (13%) committed more errors than those who did not (8%). No substantial correlations between performance measures and clinical variables were observed (Orlowski et al, 2020 ) To compare different gambling types with respect to cognitive distortions and disordered gambling Cross-sectional (May 2016) data taken from larger longitudinal study (MIGUEL project) Vocational school students N = 309 Mage = 20.13 (SD = 2.52 years) 87% male; 13% female 67% of participants report immigration Past-year engagement Stinchfield self-reporting questionnaire of gambling-related problems GBQ. Type of gambling activities Sports betting was identified as the only statistical predictor for problematic gambling (OR = 1.91), but the level of significance was lost when adjusting for cognitive distortions (Phillips et al, 2013 ) To explore the relationship between increased involvement and access to a range of gambling products and risk of problem gambling Cross-sectional Sample 1 undergraduate psychology students N = 464 Mage = 20.40 (SD = 4.58 years) 133 males; 329 females; 2 unspecified Sample 2 community respondents N = 1,141 Mage = 37.7 (SD = 12.79 years) 490 males; 646 females Past engagement SOGS PGSI Number of gambling activities In community respondents, engagement in sport wagering was a significant statistical predictor of gambling problems ( p < 0.001) (Quilty et al, 2014 ) To examine the relationship between involvement in gambling, gambling harm and problem gambling and to evaluate the contribution of related gambling activity indicators in statistically predicting harmful or problematic gambling Cross-sectional Community and clinical gambling samples (psychiatric outpatients) N = 503 Community gambling sample (N = 228) Mage = 40.47 (SD = 13.12 years) 115 males; 113 females Clinical gambling sample (N = 275) Mage = 43.02 (SD = 11.58 years) 100 males; 175 females Past engagement CPGI Harmful and problem gambling assessed by some items of the PGSI DSM–IV Axis I pathol...…”
Section: Resultsmentioning
confidence: 99%
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“…Regarding cognitive flexibility, error rates differed significantly between groups ( p = .02), where people who bet on sports (13%) committed more errors than those who did not (8%). No substantial correlations between performance measures and clinical variables were observed (Orlowski et al, 2020 ) To compare different gambling types with respect to cognitive distortions and disordered gambling Cross-sectional (May 2016) data taken from larger longitudinal study (MIGUEL project) Vocational school students N = 309 Mage = 20.13 (SD = 2.52 years) 87% male; 13% female 67% of participants report immigration Past-year engagement Stinchfield self-reporting questionnaire of gambling-related problems GBQ. Type of gambling activities Sports betting was identified as the only statistical predictor for problematic gambling (OR = 1.91), but the level of significance was lost when adjusting for cognitive distortions (Phillips et al, 2013 ) To explore the relationship between increased involvement and access to a range of gambling products and risk of problem gambling Cross-sectional Sample 1 undergraduate psychology students N = 464 Mage = 20.40 (SD = 4.58 years) 133 males; 329 females; 2 unspecified Sample 2 community respondents N = 1,141 Mage = 37.7 (SD = 12.79 years) 490 males; 646 females Past engagement SOGS PGSI Number of gambling activities In community respondents, engagement in sport wagering was a significant statistical predictor of gambling problems ( p < 0.001) (Quilty et al, 2014 ) To examine the relationship between involvement in gambling, gambling harm and problem gambling and to evaluate the contribution of related gambling activity indicators in statistically predicting harmful or problematic gambling Cross-sectional Community and clinical gambling samples (psychiatric outpatients) N = 503 Community gambling sample (N = 228) Mage = 40.47 (SD = 13.12 years) 115 males; 113 females Clinical gambling sample (N = 275) Mage = 43.02 (SD = 11.58 years) 100 males; 175 females Past engagement CPGI Harmful and problem gambling assessed by some items of the PGSI DSM–IV Axis I pathol...…”
Section: Resultsmentioning
confidence: 99%
“…Some studies were indicative of a relationship between sports betting and GD severity, with sports betting being a statistical predictor of problem gambling (Hing et al, 2016 ; Orlowski et al, 2020 ; Phillips et al, 2013 ; Russell et al, 2019a , 2019b ). Others have reported that problem-gambling severity was the strongest statistical predictor of the frequency of sports betting ().…”
Section: Resultsmentioning
confidence: 99%
“…Offenbar glaubt insbesondere diese Personengruppe, sich aufgrund ihres selbst zugeschriebenen Fachwissens gut auszukennen. Erste empirische Befunde zu jungen Erwachsenen aus Schleswig-Holstein stützen die Annahme, dass kognitive Verzerrungen den Zusammenhang zwischen einer Sportwettbeteiligung und der Entwicklung glücksspielbezogener Probleme erklären [25]. Zudem deutet eine Forschungsstudie mittels bildgebender Verfahren an, dass bei Fußballfans mit einer hohen Zuversicht in ihre Prognosegüte eine grundsätzlich stärkere Aktivierung des Belohnungssystems im Gehirn erfolgt [26].…”
Section: Individuum: Zentrale Risikofaktorenunclassified
“…Según VandenBos ( 2007), las dc son pensamientos, percepciones o creencias defectuosas o inexactas, firmemente sostenidas a pesar de la evidencia objetiva contradictoria, producto del aprendizaje, que ayudan a superar los controles internos que aparecen en el momento de elegir una conducta y mantener la estabilidad tras el evento, con el fin de evitar el autocastigo moral y autocuestionamientos que afecten la autoestima. Sobre ellas se han hecho múltiples estudios en diferentes problemáticas, como lo son el juego patológico, los trastornos de ansiedad, el consumo de pornografía infantil, y la relación entre dc, sintomatología depresiva y adaptación social, entre otras (Mallorquí-Bagué et al, 2019;Orlowski et al, 2020;Ota et al, 2020;Steel et al, 2020). En comportamientos delictivos, a partir de las dc, el sujeto logra excusar, explicar, justificar o minimizar la gravedad de su conducta, y, a través de afirmaciones hechas antes, durante y después del delito busca reducir el estrés que pueda ocasionar la ejecución de dicha conducta (Cepeda y Ruiz, 2016;Ruiz, 2014).…”
Section: Introductionunclassified