Depression and Anxiety as Mediators of PTSD Symptom Clusters and Pain in Treatment-Seeking Canadian Forces Members and Veterans
Bibliographic record
Abstract
INTRODUCTION: Chronic pain (CP) commonly presents alongside psychiatric conditions such as depression, PTSD, and generalized anxiety. The current study sought to better understand this complex relationship by determining whether anxiety and depression symptom severity mediated the relationship between DSM-5 PTSD symptom clusters and pain symptoms in a sample of 663 Canadian Armed Forces (CAF) personnel and veterans seeking treatment for mental health conditions. MATERIALS AND METHODS: Generalized anxiety disorder, depression, and PTSD symptom severity were measured using self-report scales provided as part of a standard intake protocol. Pain symptoms were measured using the Bodily Pain subscale of the SF-36 (SF-36 BPS). Linear regressions were used to explore the relationship between PTSD symptom clusters, depression, anxiety, and pain. Bootstrapped resampling analyses were employed to test mediation effects. RESULTS: The average SF-36 BPS score in this sample was 36.6, nearly 1.5 SDs below the population health status, enforcing the salience of pain symptoms as a concern for veterans and CAF seeking treatment for military-related psychiatric conditions. The effects of PTSD symptom clusters avoidance, negative mood and cognitions, and arousal on pain were fully mediated by anxiety and depression severity. However, the effect of intrusion on pain was not mediated by depression and only partly mediated by anxiety. CONCLUSION: Findings emphasize the importance of including anxiety and depression in models of PTSD and pain, particularly in samples where psychiatric comorbidity is high. Clinically, results highlight the need for improved treatment regimens that address pain symptoms alongside common psychiatric comorbidities.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".