Posttraumatic stress and social anxiety: the interaction of traumatic events and interpersonal fears
Bibliographic record
Abstract
Posttraumatic stress disorder (PTSD) and social anxiety disorder (SAD) are frequently comorbid among veteran and community samples. Several studies have demonstrated significant comorbidity between trauma, PTSD, and social anxiety (SA), and a growing number of studies have explored the nature of this association. Although a diagnosis of either PTSD or SAD alone can result in significant impairment in social and occupational functioning, these difficulties are often magnified in persons suffering from both disorders. This review describes the current state-of-the-art regarding the co-occurrence of trauma, PTSD, and SA. First, we provide an overview of empirical data on the prevalence of co-occurring trauma, PTSD, and SAD. Second, we describe possible explanatory models of the co-occurrence, with a specific focus on the shared vulnerability model. Third, we review the available empirical data addressing the postulates of this model, including both genetic and psychological vulnerabilities. Fourth, we describe additional factors-guilt, shame, and depressive symptoms-that may help to explain the co-occurrence of PTSD and SA. A better understanding of this complex relationship will improve the efficacy of treatment for individuals suffering from both disorders. We conclude with key areas for future research.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".