Mental health burden of conflict: rates and correlates of depressive and anxiety symptoms among displaced Palestinian children and adolescents in Qatar
Bibliographic record
Abstract
BACKGROUND: Children displaced by armed conflict are at high risk of experiencing psychological distress. The ongoing war in Gaza has resulted in widespread trauma among Palestinian youth, yet limited data exist on their mental health following displacement. This study assessed the prevalence and correlates of anxiety and depressive symptoms among war-displaced Palestinian refugee children and adolescents resettled in Qatar. AIMS: To estimate the prevalence of clinically significant anxiety and depressive symptoms and to identify psychosocial and trauma-related factors associated with symptom severity in this population. METHOD: A cross-sectional study was conducted among 350 Palestinian children (aged 8–17 years) residing in a residential compound in Qatar. Symptoms of anxiety and depression were measured using the Screen for Child Anxiety Related Emotional Disorders-Child Version and the Short Mood and Feelings Questionnaire-Child Version, respectively. A Resilience and Demographic Questionnaire was devised to assess trauma exposure and psychosocial variables. Multiple linear regression identified factors associated with symptom severity. RESULTS: Clinically significant anxiety and depressive symptoms were found in 70.9 and 46.0% of participants, respectively. Separation anxiety was the most common subtype. Female gender, witnessing death, physical injury and disrupted caregiving were significantly associated with worse outcomes. CONCLUSIONS: This study highlights the urgent need for trauma-informed, culturally sensitive mental health services for displaced Palestinian children and young people. While clinical interventions are vital, a sustainable resolution to the conflict is essential to mitigate further psychological harm.
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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 | 0.000 |
| 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) | 0.000 | 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".