The Role of Sociodemographic, Clinical, Psychological, and Emotional Characteristics in the Shaping of the Motivation for Change and Readiness for Treatment in Patients with Alcohol Dependence
Notice bibliographique
Résumé
Introduction. Motivation for treatment is a complex and multidimensional phenomenon significantly impacting the effectiveness of medical assistance for patients with addictive disorders. An integrative assessment of biopsychosocial functioning and systematic analysis of the factors determining readiness for treatment are important directions of research aimed at understanding the formation of motivational processes in patients with alcohol dependence. Aim of the study is to determine sociodemographic, clinical, psychological and emotional characteristics of patients with alcohol dependence and with varying levels of motivation for treatment, as well as to identify predictors of readiness for change and treatment. Methods and Materials. A total of 138 patients with alcohol use disorder (F10.20; F10.21) were recruited for this cross-sectional study. Research instruments included: patients’ clinical charts, «The Stages of Change Readiness and Treatment Eagerness Scale» (SOCRATES), Differential Emotions Scale (DES), The State-Trait Anxiety Inventory (STAI), Hamilton Depression Rating Scale (HDRS), and State-Trait Anger Expression Inventory (STAXI), Attitude toward the disorder (TOBOL), Toronto Alexithymia Scale (TAS), Tests of anticipatory validity (TASPK), and Purpose-in-Life test (PIL). Results. The median age of the subjects was 27.0 years [20.0; 35.0]. Patients with low motivation for treatment (LMT), compared to subjects with medium (MMT) and high (HMT) motivation scores, were younger, displayed greater negative attitudes toward relatives, had shorter durations of substance use disorder and withdrawal symptoms, and reported fewer treatments and spontaneous remissions (p≤0.05). HMT patients had skilled jobs, longer duration of remission after treatment, and a higher ratio of remission duration to disease duration compared to LMT and MMT patients (p≤0.05). In contrast to the MMT group, the LMT participants demonstrated significantly higher levels of the emotion of contempt, alexithymia and a neurasthenic attitude toward the disorder (p≤0.05). Subjects with HMT, as opposed to LMT and MMT, had significantly lower levels of «depression», «trait anger», «trait anxiety»; while the levels of the emotion «surprise», «trait-situational anticipatory validity», «general anticipatory validity», «life performance», «I-locus of control» were significantly higher (p≤0.05). The following predictors for the readiness for change and treatment were identified: ratio of remission duration to disease duration (B1 = 57.05), skilled occupation (B2 = 2.10), emotions «surprise» (DES) (B3 = 1.81) and «contempt» (DES) (B4 = -1, 11), «trait anger» (STAXI) (B5 = -1, 72), neurasthenic attitude toward the disorder (TOBOL) (B6 = – 0.31), «general anticipatory validity» (TASPK) (B7 = 1.93), (B1, B2, .... , Bn – numbers and coefficients of predictors; multiple regression equation constant B0 = 92.35; adjusted R2 = 0.753). Conclusion. A benign course of alcohol use disorder progression, employment in a skilled job, prognostic abilities in assessing the development of life situations, and personal responsibility for one's life, as well as higher level of the emotion of surprise and low levels of anxiety, depression, anger, contempt, alexithymia, and neurasthenia, increase motivation for change and treatment in individuals with alcohol dependence.
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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 | 0,001 | 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) | 0,000 | 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 ».