Notice bibliographique
Résumé
Background. Gambling encourages people to want more money than they did at the beginning of the game. The growing availability and variety of games has made gambling a critical issue. Statistics show that out of 48.5 million Ukrainians, more than four million are players. Objective. The purpose of this study was to determine the extent to which levels of alexithymia and stress may predict pathological gambling. The study also examines the role of stress mediators in the relationship between alexithymia and addiction. Methods. The group of 123 male patients aged 18 to 64 years with a mean of 33 (SD = 11.5) participated in the study. Participants were selected from various rehabilitation centers in Kyiv. The study was conducted only with volunteers over 18 years of age who declared gambling and signed an informed consent. Measuring instruments: 1) Form of demographic information 2) South Oaks Gambling Screen (SOGS) 3) Toronto Alexithymic Scale (TAS-20) 4) Psychological stress measure (PSM-25) 5) Lemyr-Tessier-Fillion PSM-25 scale Data were collected from individuals through online surveys as well as in person. Data were analyzed using the t-test to determine the significance of differences between groups. However, no significant difference was found. Before the participants completed the survey, it was ensured that they all signed the consent form. The data was cleaned after all the data had been entered into the computer. A total of six participants who either did not answer more than half of the questions or had deviations (-3.29> z <3.29) were excluded from the study. Results. Regression analysis showed that the amount of money betting on gambling, the total score of TAS-20 and PSM-25 significantly predicted pathological gambling. In addition, stress has a partial mediating role in the relationship between alexithymia and addiction. Conclusion. It is claimed that people with a high level of alexithymia become prone to gambling addiction due to stress. In addition to alexithymia, stress also plays an important role in the formation of addiction. In this context, this study contributes to the relevant literature by combining alexithymia, stress, and pathological gambling in conjunction with each other.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».