Health Outcomes of Traumatic Brain Injury Among Refugee Survivors of Torture
Bibliographic record
Abstract
OBJECTIVE: To compare spontaneous reporting of health complaints in a sample of refugee survivors of torture with a history of moderate/severe traumatic brain injury (TBI) with survivors of torture without TBI and analyze the contribution of posttraumatic stress disorder symptoms to health outcomes. PARTICIPANTS: Treatment-seeking refugee survivors of torture with a moderate/severe TBI (n = 85) and a control group (n = 72) of survivors who suffered a physical injury during their persecution but had no history of a head injury. MEASURES: Health outcomes included a self-report of general physical health (scale 1-5), number of medical visits, and a scaled score of the number of health complaints. The Harvard Trauma Questionnaire (HTQ) was used to measure posttraumatic stress disorder. RESULTS: Moderate/severe TBI was associated with more health complaints but not higher HTQ scores. TBI and HTQ scores are independently associated with a greater number of health complaints, and an interaction between TBI and HTQ scores suggests that the relationship between moderate/severe TBI and the number of health complaints strengthened with increased posttraumatic stress disorder symptom severity. CONCLUSIONS: Health complaints may be a common expression of psychological trauma, and service providers should be certain to explore both medical and psychological contributors when assessing refugee survivors of torture.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".