Evidence of Delayed, Recursive Benefits of Self-Affirmation on Anxiety in Socially Anxious University Students
Bibliographic record
Abstract
Introduction: Persons with social anxiety disorder (SAD) often experience social interactions as threatening and commonly avoid them or perform poorly in them (Asher et al., 2017). Self-affirmation is an intervention shown to help individuals engage effectively in situations they perceive as threatening (Sherman & Hartson, 2011). We hypothesized that self-affirmation would allow socially anxious individuals to participate in more social activities, do so more effectively, and with less stress and anxiety. Methods: Following completion of baseline measures, 75 socially anxious university students were randomly assigned to complete a self-affirming or control writing task. They subsequently completed the Trier Social Stress Test for Groups (TSST-G), and received SAD psychoeducation designed to promote social engagement over the coming month, after which they were reassessed on baseline measures of social anxiety. Results Self-affirmation demonstrated no benefit at the time of engagement in the TSST-G. However, at follow-up, self-affirmed students reported significantly less discomfort, anxiety, and distress related to a variety of social behaviors as well as more engagement in those behaviors, relative to baseline, compared with non-affirmed students. Moreover, significantly more affirmed than non-affirmed participants reported clinically significant reductions in symptoms of SAD at follow-up. Discussion These results help to broaden our conceptualization of self-affirmation and provide support for its potential utility in treatment for those with SAD.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".