Social Anxiety and Fear of Causing Discomfort to Others: Diagnostic Specificity, Symptom Correlates and CBT Treatment Outcome
Bibliographic record
Abstract
BACKGROUND: Patients with social anxiety disorder (SAD) report fear content relating to the perceived aversive consequences of their anxiety for others in their social environment. However, no studies to date have examined the diagnostic specificity of these fears to SAD as well as predictors to treatment response of these fears. AIMS: To examine relative specificity of fears related to causing discomfort to others, as measured by Social Anxiety-Fear of Causing Discomfort to Others (SA-DOS), among patients with anxiety disorders, obsessive compulsive disorder (OCD) and major depressive disorder (MDD), in addition to relation between dysfunctional attitudes and treatment response among patients with SAD. METHOD: In study 1, a large (n=745) sample of DSM diagnosed OCD, MDD and anxiety disorder participants completed the SA-DOS. In study 2, patient participants with SAD (n=186) participated in cognitive behavioural group therapy (CBGT) and completed measures of social anxiety symptoms and dysfunctional attitudes. RESULTS: In study 1, the SAD group demonstrated significantly elevated SA-DOS scores compared with participants with generalized anxiety disorder (GAD), OCD and panic disorder with or without agoraphobia (PD/A), but not the MDD group. In study 2, CBGT treatment was found to lead to significant reductions in SA-DOS scores. Need for approval (NFA) but not perfectionism, predicted treatment response to fears related to causing discomfort to others, with greater change in NFA relating to greater change in SA-DOS scores. CONCLUSIONS: These findings extend previous research linking allocentric fears to the phenomenology and treatment of 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".