Alexithymia and emotional intelligence among persons with alcohol dependence
Bibliographic record
Abstract
Background: Alcohol abuse is reflected as a major public health concern in worldwide. It impaired many areas of life, including familial, vocational, psychological, legal, social, or physical aspects of life. Greater drug abuse has also been seen in those with high alexithymia, a condition that is strongly associated with low emotional intelligence. However, there is a dearth of Indian literature on the same. Methods: Cross-sectional hospital-based study; one hundred alcohol dependent patients, diagnosed by the Diagnostic and Statistical Manual of Mental Disorders, were selected by purposive sampling. One hundred normal controls were selected. General Health Questionnaire, an Indian adaptation of Emotional Intelligence Scale, and Toronto Alexithymia Scale were used for assessment. The statistical analysis of descriptive and inferential was carried out using the Statistical Product and Service Solutions (SPSS) 16.0. Results: Study revealed a significant difference in scores on the Emotional Intelligence scale between the alcohol dependent and normal control group. Conclusion: Our study suggests an association between low emotional intelligence, and high in alexithymia score. The present findings are generating and passing out relevant knowledge, which would be helpful and beneficial in reducing alcohol abuse, its harmful health effects, as well as in developing new treatment strategies for alcohol dependency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".