Discrimination‐Based Continuous Traumatic Stress, PTSD and Chronic Pain in Syrian Refugees: A Moderated Mediation Analysis
Bibliographic record
Abstract
PURPOSE: This study aimed to examine the relationships among continuous traumatic stressors (CTS), posttraumatic stress disorder (PTSD), somatic symptoms, and chronic pain in a sample of Syrian refugees. Specifically, we hypothesized that PTSD would mediate the association between discrimination-based CTS and chronic pain and that somatic symptoms would moderate the link between PTSD and chronic pain-such that higher somatic symptom levels would amplify this association. MATERIALS AND METHODS: A total of 669 Syrian refugees residing in Türkiye participated in the study. Data were collected through face-to-face interviews using validated self-report instruments, including the Patient Health Questionnaire-15 (PHQ-15), the PTSD Checklist for DSM-5 (PCL-5), the Short-Form McGill Pain Questionnaire (SF-MPQ) and the Cumulative Trauma Scale. RESULTS: PTSD symptoms mediated the relationship between discrimination-based CTS and chronic pain. Additionally, somatic symptoms significantly moderated the association between PTSD and chronic pain, such that individuals with higher levels of somatic symptoms exhibited a stronger link between PTSD symptoms and chronic pain severity. CONCLUSION: These findings emphasize the relationship between discrimination-based CTS, psychological distress, and physical complaints among Syrian refugees in Türkiye. While the results provide important insights into trauma-related health outcomes in this group, caution should be exercised in generalizing the findings to all displaced populations. The results highlight the profound impact of prolonged traumatic stress on both psychological and physical health and emphasize the need for trauma-informed, culturally sensitive clinical interventions for displaced individuals.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".