Perceived Norms about Coping-Motivated Drinking Mediate the Relations Between Social Anxiety and Alcohol Use and Related Problems
Bibliographic record
Abstract
Social anxiety has been shown to be a risk factor for alcohol-related problems among emerging adults. Perceived norms may be a relevant cognitive factor underlying this risk; however, previous literature has focused mostly on broad norms about alcohol use in general and not on norms about specific alcohol use behaviours. The main goal of this study was to examine the mediating role of perceived approval about drinking to cope specifically, in the pathway from social anxiety to alcohol use and related problems. I hypothesized that university students with heightened social anxiety would perceive their friends (in particular) as being approving of drinking to cope with negative affect, which would lead to an increase in alcohol problems. Participants were ages 18 to 29 from six Canadian universities and completed an online cross- sectional survey measuring social anxiety levels, perceived approval of specific risky drinking behaviours, alcohol use frequency, and alcohol-related problems. Mediation analyses showed that elevated social anxiety predicted greater perceptions of friends approving of drinking to cope, which in turn, predicted elevated alcohol-related problems. This mediation effect was not seen when analyzing perceived approval from typical students, highlighting a specificity for friends increasing perceived approval of coping-related drinking behaviours. Perceived approval of sexual risk taking from friends was associated with lower alcohol-related problems, and perceived approval of heavy drinking from typical students was associated with increased alcohol outcomes. This study is the first to examine the impact of perceived approval of specific risky drinking behaviours on alcohol outcomes among students with relatively elevated social anxiety. Such research could contribute to improving the efficacy of personalized normative feedback interventions for modifying normative perceptions and alcohol outcomes.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".