Impulsivity and alexithymia predict early versus subsequent relapse in patients with alcohol use disorder: A 1‐year longitudinal study
Bibliographic record
Abstract
INTRODUCTION: Longitudinal psychopathological predictors of relapse in alcohol use disorder are unclear. METHODS: Relapses, sociodemographic and psychopathological risk factors were assessed in 171 alcohol use disorder outpatients within a 1-year follow up. Impulsivity and alexithymia were evaluated using the Barratt Impulsiveness Scale and the Toronto Alexithymia Scale, respectively. RESULTS: At endpoint, 39% of patients maintained abstinence, 30.9% relapsed at ≤1 month from detoxification (early), 30.1% at >1 month (subsequent). Baseline Barratt Impulsiveness Scale score was predictive of early versus subsequent relapse (odds ratio 1.12, p = 0.005) and versus abstinence (odds ratio 1.17, p < 0.001). Toronto Alexithymia Scale score was a risk factor for subsequent versus early relapse (odds ratio 1.13, p = 0.003) and versus abstinence (odds ratio 1.21, p < 0.001). DISCUSSION AND CONCLUSIONS: Impulsivity predicted relapse within the first 4-weeks; alexithymia showed delayed effects. Time-varying effects of specific relapse factors emphasise the need for preliminary careful assessment and personalised interventions to promote long-term abstinence.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".