Exploring the dissociative subtype of PTSD: The role of early-life trauma, cortisol, and inflammatory profiles
Bibliographic record
Abstract
Post-traumatic stress disorder (PTSD) is a heterogeneous mental health condition, characterized by diverse symptom profiles and biological underpinnings. A dissociative subtype of PTSD has been identified, though the potential risk factors and underlying neurobiology are yet to be understood. The current study comprised Canadian Armed Forces (CAF) members and Veterans with a history of deployment, and with diagnoses of non-dissociative (n = 31) and dissociative subtypes of PTSD (n = 19), in addition to non-deployed healthy controls (n = 14). Participants completed questionnaires assessing clinical symptoms and experiences of trauma, and provided saliva and blood samples for cortisol and inflammatory marker assessments. Individuals with dissociative PTSD displayed elevated PTSD and depression symptom severity, and greater reports of specific forms of childhood trauma compared to individuals with non-dissociative PTSD and controls. Morning cortisol was elevated in both PTSD groups compared to controls, however the PTSD groups did not differ from one another. Evening cortisol concentrations were elevated in both PTSD groups compared to controls, and in the dissociative PTSD subtype compared to the non-dissociative PTSD subtype when controlling for depression symptoms. PTSD diagnostic group moderated the relationship between awakening cortisol levels and PTSD symptom severity, such that the non-dissociative PTSD group displayed a negative correlation between awakening cortisol levels and PTSD symptom severity, while no significant relation was identified in the dissociative PTSD group. C-reactive protein (CRP) levels did not differ across diagnostic groups when accounting for body mass index (BMI). However, CRP positively correlated with depressive symptoms only among individuals with dissociative PTSD. Together, examining PTSD subtypes may help inform more effective and personalized treatment strategies in the future.
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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 | 0.001 |
| 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 | 0.001 |
| 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".