The Impact of Captivity and Posttraumatic Stress Disorder on Cognitive Performance Among Former Prisoners of War
Bibliographic record
Abstract
OBJECTIVE: War captivity is a potent pathogen for various aspects of mental health, including cognitive impairments. However, little is known about the long-term impact of war captivity and posttraumatic stress disorder (PTSD) on cognitive functioning among former prisoners of war (ex-POWs). This study assesses the effect of captivity, PTSD trajectories, and the accumulating differential effect in the prediction of cognitive performance. METHODS: This longitudinal research includes 4 assessments (1991 [T1], 2003 [T2], 2008 [T3], 2015 [T4]) of Israeli ex-POWs and comparable combatants from the 1973 Yom Kippur War. Accordingly, 95 ex-POWs and 26 comparable combatants were included in this study. PTSD was assessed according to the DSM-IV, and cognitive performance was assessed using the Montreal Cognitive Assessment (MoCA). RESULTS: Ex-POWs reported higher levels of PTSD symptoms compared to controls (P = 0.007). No difference was found between the groups regarding MoCA total score. Ex-POWs with chronic PTSD were found to have more difficulty in overall cognitive functioning, compared to ex-POWs with delayed, recovery, and resilient trajectories (P = 0.03). Finally, physical and psychological suffering in captivity and intrusion symptoms predicted cognitive performance (P < .001, R² = 37.9%). These findings support the potent pathogenic effects of war captivity on cognitive abilities, more than 4 decades after the end of the traumatic event. CONCLUSIONS: Our results showed captivity to be a unique and powerful traumatic experience, leading to PTSD and long-lasting and enduring neuropsychological implications. These findings highlight the importance of viewing ex-POWs, in particular those suffering from chronic PTSD, especially as they age, as a high-risk population for cognitive disorders. This requires the appropriate diagnosis and cognitive therapy as a way to preserve cognitive abilities among this population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".