Investigating approach/avoidance tendencies in male AUD patients through a gait initiation task: An exploratory posturography study
Bibliographic record
Abstract
INTRODUCTION: This exploratory study investigates approach/avoidance tendencies in male patients with Alcohol Use Disorder (AUD) through a gait initiation task combined with posturography. METHOD: Seventy-four male participants (N = 74), including 47 AUD patients undergoing detoxification and 27 healthy controls, were exposed to alcohol-related, erotic, and neutral visual stimuli. Reaction times (RTs) and postural micromovements preceding gait initiation (forward/backward steps) were recorded to assess their predictive value for relapse (n = 13) or abstinence (n = 34) within two weeks post-detoxification. RESULTS: A mixed ANOVA (2x2x3) revealed significant group differences in RTs to alcohol-related stimuli (Stimuli × Group interaction: p = .029), with relapsers showing slower responses to alcohol cues than abstainers for forward as well as backward steps. Additionally, postural micromovements before gait initiation (measured through the standard deviation of the center of pressure's position) showed a significant Stimuli × Group interaction (p = 0.05), with relapsers displaying increased micromovements when exposed to alcohol-related stimuli (p = .044). CONCLUSION: These findings suggest that relapsers exhibited distinct motor responses to alcohol-related stimuli, characterized by delayed RTs and increased postural instability. These early indicators of relapse risk highlight the potential of posturography as a clinical tool in alcohol detoxification programs.
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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 | 0.000 |
| 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 | 0.000 | 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 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".