Functional Relationships of Binge Drinking and Alcohol-Related Problems With Posttraumatic Stress Symptoms in a Pilot Sample of Veterans
Bibliographic record
Abstract
OBJECTIVE: Posttraumatic stress (PTS) symptoms and problematic alcohol use (e.g., binge drinking and alcohol-related problems; ARP) commonly co-occur following stressors and traumatic events. Ecological momentary assessment methods can clarify the functional relationships between these conditions. METHODS: Twenty-five trauma-exposed combat veterans with pre-pandemic heavy drinking histories completed three daily smartphone surveys for four weeks, assessing binge drinking, ARP, PTS symptoms, and positive and negative affect. Within-person multi-level models assessed PTS and alcohol relationships, covarying for affect and demographics. RESULTS: Within-person variation in PTS was inversely associated with binge drinking but not associated with ARP after adjustment for interindividual heterogeneity. Within-person variation in ARP was not associated with PTS after adjustment for interindividual heterogeneity. The covariate of negative affect was positively associated with ARP and PTS. CONCLUSIONS: Findings suggest negative affect, rather than PTS, has the strongest association with variation in ARP symptoms in this at-risk sample. There was also evidence of individual differences in the strength and direction of effects.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".