Temporal associations between cultural identity conflict and psychological symptoms among Syrian young adults with refugee backgrounds: a four-wave longitudinal study
Bibliographic record
Abstract
Objectives: The current study examined temporal associations between cultural identity conflict and psychological symptoms (posttraumatic stress [PTS] and anxiety/depression) in Syrian young adults, who recently migrated to the Netherlands. It was hypothesized that cultural identity conflict predicts intraindividual changes in PTS and anxiety/depression symptoms, in a course of one year, adjusting for trait-like stable invariant levels of both constructs.Methods: Data were obtained from Karakter, a four-wave longitudinal study, with a sample of 158 Syrian young adults with refugee backgrounds (n = 96 at wave 4); 69% men and age range 18–35. Levels of cultural identity conflict, PTS, and anxiety/depression were assessed four times, over 13 months.Results: Random intercept cross-lagged panel model analyses showed relative stability in levels of cultural identity conflict, PTS, and anxiety/depression from one wave to the next. No significant concurrent associations were found between deviations from people’s usual levels of cultural identity conflict and PTS symptoms. Additionally, the results revealed two significant negative cross-lagged associations between cultural identity conflict and PTS. No cross-lagged associations were found between cultural identity conflict and anxiety/depression, except one negative directional effect from anxiety/depression at wave 2 to cultural identity conflict at wave 3.Conclusions: Findings indicate that after accounting for between-person differences, cultural identity conflict and psychological symptoms refer to stable, within-person processes over time. We speculate that early intervention focused on PTS, anxiety/depression as well as experienced cultural identity conflict may prevent these problems from becoming chronic, among Syrians with refugee backgrounds in the post-migration context.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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 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".