Relationship of Anger with Alcohol use Treatment Outcome: Follow-up Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Anger is seen as comorbid condition in psychiatric conditions. It has an impact on one's quality of life. It leads to variation in the treatment outcome. The present study is going to explore the relationship of anger with treatment outcome among alcohol users after 1 year of treatment. The data for the present study were taken from the project work on correlates of anger among alcohol users, funded by center for addiction medicine, NIMHANS, Bengaluru, Karnataka, India. MATERIALS AND METHODS: A total of 100 males (50 alcohol-dependent and 50 abstainers) in the age range of 20-45 years with a primary diagnosis of alcohol dependence were taken for the study. They were administered a semi-structured interview schedule to obtain information about sociodemographic details, information about alcohol use, its relationship with anger and its effects on anger control and the State-Trait Anger Expression Inventory. RESULTS: 68% of the dependent and abstainers perceived anger as negative emotion and 76% in control perceived it as negative. The presence of significant difference was seen for relapsers group in relation to trait anger and state anger. The group who remained abstinent from the intake to follow-up differs significantly from the dependent group in relation to state anger and anger control out. Mean score was higher on trait anger for the dependent group. CONCLUSIONS: It has implication for anger management intervention/matching of treatment with users attributes and helping the users to develop the behavioral repertoires to manage anger.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it