Temporal relations between alcohol use, posttraumatic stress disorder, and internalizing symptoms during the COVID-19 pandemic: An ecological momentary assessment investigation.
Bibliographic record
Abstract
OBJECTIVE: COVID-19 is a collective stressor associated with both increased mental health symptoms and increased frequency of alcohol use. These increases highlight the need for investigations into the functional relationships between traumatic stress symptoms and alcohol use in the wake of the pandemic. This study sought to use ecological momentary assessment to examine the temporal association of posttraumatic stress disorder (PTSD) with alcohol use during the COVID-19 pandemic. METHOD: = 21.0; 86% female, 23.9% White) from a large, mid-Atlantic public university. Ecological momentary assessment data on PTSD symptoms, internalizing psychopathology, affect, and alcohol consumption were collected via twice daily surveys for a 14-day period. RESULTS: Increased negative affect predicted an increase in alcohol consumption at the next assessment. Increased alcohol consumption predicted increased subsequent negative affect, anxiety symptoms, and depressive symptoms. Findings did not support a relationship between PTSD symptoms and alcohol consumption in either direction. CONCLUSIONS: Results suggest a bidirectional, cyclical relationship between alcohol consumption and internalizing psychopathology broadly, rather than PTSD specifically, during the pandemic. Interventions for alcohol consumption on college campuses may benefit from targeting internalizing symptoms, such as through facilitating the development of adaptive coping strategies. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".