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Within the last decade, interest in online gambling has increased. This pilot study examined online gambling among students to identify the extent to which student Internet gamblers manifest a propensity for problem gambling and to understand if mood states at various times are predictors of problem gambling. A questionnaire was administered to 127 student Internet gamblers. In addition to questions asking for basic demographic data, the questionnaire included the Positive and Negative Affect Schedule (PANAS) and the South Oaks Gambling Screen (SOGS). Results showed that approximately one in five online gamblers (19%) was defined as a probable pathological gambler using the SOGS. Among this sample, results also showed that problem gambling was best predicted by negative mood states after gambling online and negative mood states more generally.
Matthews et al. (Tue,) studied this question.