Gambling motives, problem gambling predictors and differences from problematic alcohol use

Despite the seriousness of problem gambling, its relationship with many factors has not yet been
studied. This investigation sought, on the one hand, to verify the predictability of improvement
over problem gambling, with irresponsible gambling being a mediator in this relationship. In addition,
we sought to analyze whether predictors of problem gambling are related to problematic
alcohol use. The sample consisted of 258 adults (59.5% women) with an average age of 20.95
years (SD = 2.19). Questionnaires were applied to measure gambling addiction, alcohol addiction,
reasons for gambling, depression, coping with stress, prosocial behavior, and susceptibility
to framing; and correlations, multiple linear regressions and a simple mediation model were
analyzed. Results indicated on the one hand that 32.45% of variance in problem gambling is
explained by reasons for gambling, with the maximum amount of money bet mediating this relation.
On the other hand, an integrative model that explains 16.8% of problem gambling does not
work for alcohol addiction. The results provide a new explanatory model of problem gambling
and emphasize the need for interventions in problem gambling to be developed in accordance
with the special characteristics of this addiction. These findings are relevant in the field of health
psychology for their potential contribution to prevention and intervention programs.

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Authors

  • Javier Esparza-Reig - Departamento de Psicología Evolutiva y de la Educación, Facultad de Psicología y Logopedia, Universitat de València

  • Manuel Martí-Vilar - Profesor Titular de Universidad. Departamento de Psicología Básica, Facultad de Psicología y Logopedia, Universitat de València

  • Francisco González-Sala - PDI Contratado Doctor. Departamento de Psicología Evolutiva y de la Educación, Facultad de Psicología y Logopedia, Universitat de València.

Keywords:

Problem gambling; addiction; gambling motives; alcohol abuse; predictors.

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