Our research examined those motives that could predict or protect from the negative effects of gambling. Motivational constructs (risk factors) and the five dimensions of resilience (protective factors) were considered. 879 participants completed the following questionnaire: Socio-anagraphic data, South Oaks Gambling Screen, Resilience Scale for Adults, Gambling Motivation Scale. Causal analysis assessed the relationships between the variables. ANOVA indicated that gambling groups differed on social competence and family cohesion (resilience), and on gambling intrinsic motivation, extrinsic motivation, and amotivation. Logistic regression models showed that protective factors had an indirect effect on gambling outcomes. More complex analysis models are required.

Toward an Understanding of Predictive and Protective Factors in Gambling

DE PALO, Valeria
2014-01-01

Abstract

Our research examined those motives that could predict or protect from the negative effects of gambling. Motivational constructs (risk factors) and the five dimensions of resilience (protective factors) were considered. 879 participants completed the following questionnaire: Socio-anagraphic data, South Oaks Gambling Screen, Resilience Scale for Adults, Gambling Motivation Scale. Causal analysis assessed the relationships between the variables. ANOVA indicated that gambling groups differed on social competence and family cohesion (resilience), and on gambling intrinsic motivation, extrinsic motivation, and amotivation. Logistic regression models showed that protective factors had an indirect effect on gambling outcomes. More complex analysis models are required.
youth gambling; gambling motivation; Resilience; risk and protective factors
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/869262
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