Bibliographic record
Abstract
<b>Background</b>: The World Health Organization(WHO) International Classification of Diseases, 11th version (ICD-11), has proposed a new trauma-related diagnosis of complex posttraumatic stress disorder (CPTSD), separate and distinct from posttraumatic stress disorder (PTSD). However, to date, no study has examined CPTSD over time. <b>Objectives</b>: This prospective study aimed to examine predictors and outcomes of latent classes of PTSD and CPTSD following war captivity. <b>Method</b>: A sample of 183 Israeli former prisoners of the 1973 Yom Kippur War (ex-POWs) participated in a 24-year longitudinal study with three waves of measurements (T1: 1991, T2: 2008, and T3: 2015). Participants completed validated self-report measures, and their cognitive performance was assessed using the Montreal Cognitive Assessment (MoCA). <b>Results</b>: Estimated rates of PTSD and CPTSD were high at all waves, with PTSD rates higher than CPTSD. A Latent Class Analysis (LCA) identified three main classes at T2: (1) a small class with low probability to meet PTSD and CPTSD clusters criteria (15.26%); (2) a class high only in PTSD symptoms (42.37%) and (3) a class high only in CPTSD symptoms (42.37%). Importantly, higher levels of psychological suffering in captivity at T1 were associated with higher odds of being in the CPTSD class at T2. In addition, CPTSD at T2 was more strongly associated with low self-rated health, functional impairment, and cognitive performance at T3, compared to the PTSD only class. <b>Conclusions</b>: Adulthood prolonged trauma of severe interpersonal intensity such as war captivity is related to CPTSD, years after the end of the war. Exposure to psychological suffering in captivity is a risk factor for future endorsement of CPTSD symptoms. CPTSD among ex-POWs is a marker for future dire mental health and functional consequences.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".