Concurrent Disorders and Decision-Making in Electronic Gaming Machine Gamblers
| Autor: | Robin-Marie Shepherd, Retina Rimal, Louise E. Curley, Frederick Sundram |
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| Rok vydání: | 2021 |
| Předmět: |
Sociology and Political Science
Social anxiety Logistic regression Iowa gambling task Behavior Addictive Correlation Cross-Sectional Studies Video Games Surveys and Questionnaires Gambling medicine Humans Anxiety Electronics medicine.symptom Psychology General Psychology Depression (differential diagnoses) Clinical psychology |
| Zdroj: | Journal of Gambling Studies. 38:499-514 |
| ISSN: | 1573-3602 |
| DOI: | 10.1007/s10899-021-10044-z |
| Popis: | This study aimed to investigate the self-reported measures of concurrent disorders (stress, social anxiety, anxiety, depression and alcohol use) among electronic gaming machine (EGM) gamblers with varying levels of gambling severity and to examine its relationship to decision-making. This cross-sectional study in New Zealand involved an online survey that utilised validated questionnaires to assess self-reported measures of concurrent disorders and the Iowa gambling task (IGT) to analyse decision-making. The study comprised of active EGM gamblers (n = 153) who were divided into two groups: non-problem gambling (NPG, n = 71) and problem gambling (PG, n = 82) based on the cut-off point of the South Oaks Gambling Screen (SOGS). Multiple logistic regression models were performed to analyse co-occurring disorders separately and simultaneously, and a log‐linear model was developed to define the associations between significant variables. The first model showed a strong correlation between gambling severity and measures for depression (p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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