Social anxiety and alcohol use across the university years: Adaptive and maladaptive groups.
Bibliographic record
Abstract
University/college can be a challenging time as students face developmental tasks such as building new social networks and achieving academically. Social anxiety may be disadvantageous in this setting given that social situations often include drinking and individuals with social anxiety tend to self-medicate through alcohol use. However, findings are mixed as to whether the association between social anxiety and alcohol use is positive or negative. To clarify the nature of this association, we used a person-centered longitudinal analysis to identify student groups based on levels of social anxiety symptoms and alcohol consumption. Undergraduates (N = 1132, 70.5% female, Mage = 19.06 at Time 1) enrolled in university completed a survey assessing social anxiety and alcohol use over 3 years, and psychosocial functioning and emotion coping behaviors at Time 1. Two out of 5 groups were identified with higher levels of social anxiety, 1 with moderately low alcohol use, and the other with moderately high alcohol use. Both groups reported higher levels of general anxiety, depressive symptoms, behavioral inhibition, emotional reactivity, daily hassles, and lower levels of social ties at Time 1 than the 3 groups with lower levels of social anxiety. Furthermore, the social anxiety-alcohol use group reported significantly lower academic grades and was more likely to endorse problematic emotion coping behaviors (e.g., self-injury) than the social anxiety-low alcohol use group. These results not only help explain the mixed findings in the literature but indicate that 1 group of socially anxious students may be particularly vulnerable to negative adjustment difficulties. (PsycINFO Database Record
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".