A Cross-sectional Study to Assess the Association between the Cognitive Function with Severity of Dependence and Motivation to Quit in Patients with Substance Use Disorder
Notice bibliographique
Résumé
Introduction: Long-term substance abuse can impact an individual’s cognition and higher mental abilities, which can, in turn, affect their judgment-making capacity and lead to a higher chance of relapse. This is because the individual’s motivation to quit is linked to their cognitive functioning. Aim: To assess the association between cognitive function, the severity of dependence, and the motivation to quit in patients with Substance Use Disorder (SUD). Materials and Methods: This was a cross-sectional observational study conducted in a tertiary care hospital in Eastern India between October 2018 and September 2020. The study includes total 83 patients diagnosed with substance dependence according to the International Classification of Diseases-10 guidelines by the treating psychiatrist, and admitted to the inpatient unit of the Department of Psychiatry Socio-demographic details such as age, gender, background, marital status, primary substance, and duration of use were obtained using a semi-structured questionnaire. Cognitive functions were assessed using the Montreal Cognitive Assessment Scale (MoCA) and the Frontal Assessment Battery (FAB). The severity of dependence was assessed using the Leeds Dependence Questionnaire. Motivation to quit substances was assessed using the Stages of Change Readiness and Treatment Eagerness Scale. Statistical Package for the Social Sciences(SPSS) v23 was used for data analysis. Results: All subjects included in the study were male. Approximately 56 (67.5%) were admitted for alcohol dependence, followed by opioid dependence. The majority of the study sample had moderate severity of dependence, with 52 (62.7%) participants showing good motivation. A total of 53 (63.9%) participants had global cognitive deficits, and frontal lobe dysfunction was seen in 41 (49.4%) of the study sample. Both cognitive functioning and frontal lobe functioning were significantly associated with motivation to quit. The severity of dependence on the substance was not significantly associated with either cognitive function or frontal lobe functioning. Conclusion: Out of the total sample, almost two-thirds had cognitive deficits, and half had frontal lobe dysfunction. The correlation between poor motivation and cognitive impairment, as well as frontal lobe dysfunction, was found to be statistically significant, indicating that poor motivation to quit substances in patients may be affected by cognitive process dysfunction or frontal lobe damage.
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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 | 0,010 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 |
| 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 ».