Alexithymia in Alcohol Dependence – A Case Control Study from a Rural Tertiary Health Care Center
Bibliographic record
Abstract
Background: Alexithymia is a personality trait characterized by difficulty in identifying, expressing, and describing one’s emotions. In recent years, there has been a growing interest in the relationship between alexithymia and alcohol dependence. Several studies have found that alexithymia is more prevalent in individuals with alcohol dependence compared to healthy controls. Objectives: The current research aimed to compare alexithymia between individuals with Alcohol Dependence Syndrome (ADS) and healthy controls among residents of rural India. Additionally, the study sought to assess the association of alexithymia with the duration, severity of drinking, and obsessive-compulsive drinking behaviors. Materials and Methods: A case-control study was conducted involving 49 patients with alcohol dependence and 52 healthy controls in the Psychiatry department of a rural tertiary healthcare center in central India. The Toronto Alexithymia Scale (TAS-20) was utilized to evaluate alexithymia, while patterns of drinking were assessed using the Alcohol Use Disorder Identification Test (AUDIT) and the Obsessive-Compulsive Drinking Scale (OCDS). Results: Significant differences were observed in alexithymia levels between patients with alcohol dependence and healthy controls. Furthermore, alexithymia levels were significantly associated with the duration and severity of alcohol consumption, as well as with the presence of obsessive-compulsive drinking patterns. Conclusion: This study underscores the noteworthy association between alexithymia and obsessive-compulsive drinking behaviors in individuals with alcohol dependence. The findings underscore the importance of addressing emotional difficulties and alexithymia in patients with alcohol dependence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".