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.
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
SINATRA, Maria;TAURINO, Alessandro;
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
