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| Content Provider | Springer Nature Link |
|---|---|
| Author | Cosenza, Marina Baldassarre, Ivana Matarazzo, Olimpia Nigro, Giovanna |
| Copyright Year | 2014 |
| Abstract | The purpose of this study was to examine the role of alexithymia and cognitive distortions in adolescent gambling. Five hundred and forty-six Italian high school students, between the ages of 17 and 19 years, were administered the South Oaks Gambling Screen Revised for Adolescents (SOGS-RA), the Toronto Alexithymia Scale (TAS-20), and the Gambling Related Cognitions Scale (GRCS). Results showed that problem gamblers scored highest on the GRCS and the TAS-20 scales. First-order correlations indicated strong positive associations among SOGS-RA and all GRCS subscales, as well among SOGS-RA and the TAS-20 factors, Difficulty Identifying Feelings and Difficulty Describing Feelings. The results of hierarchical regression analysis showed also that, along with gender, the most powerful predictors of gambling involvement were the GRCS subscales, Inability to Stop gambling and Interpretative Bias, and that SOGS-RA scores were moderately associated with the TAS-20 factor, Difficulty Identifying Feelings only. Mediation analyses revealed a significant indirect effect on the relation between alexithymia and gambling severity through specific gambling-related biases. |
| Starting Page | 652 |
| Ending Page | 660 |
| Page Count | 9 |
| File Format | |
| ISSN | 18669956 |
| Journal | Cognitive Computation |
| Volume Number | 6 |
| Issue Number | 4 |
| e-ISSN | 18669964 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2014-05-11 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Gambling Alexithymia Cognitive distortions Adolescence Neurosciences Computation by Abstract Devices Artificial Intelligence (incl. Robotics) Computational Biology/Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cognitive Neuroscience Computer Science Applications Computer Vision and Pattern Recognition |
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