Fear of COVID-19 and depression, anxiety, stress, and PTSD among Syrian refugee parents in Canada
Bibliographic record
Abstract
The high frequency of COVID-19 has had an impact on the psychological health of all countries and socioeconomic groups around the world, with refugees suffering the brunt of the burden. The aim was to assess the relationship between fear of COVID-19 and depression, anxiety, stress, and PTSD among Syrian refugee parents residing in the Greater Toronto Area. A convenience sample of 274 Syrian refugee parents residing in Ontario was recruited. Fear of COVID-19 was measured using the Fear of COVID-19 Scale (FCV-19S). Levels of depression, anxiety, stress and PTSD were assessed using the Depression Anxiety Stress Scales (DASS-21), and Primary Care PTSD screen (PC-PTSD). Multiple Linear Regression analyses were performed to assess the relationship between FCV-19S and the DASS-21 subscales and PC-PTSD. Severe levels of depression, anxiety, and stress were reported by 12.2%, 26.8%, and 9.7% of participants respectively, and 24.1% screened positive for PTSD. FCV-19S was associated with higher levels of stress (β = 0.27, p = 0.006), anxiety (β = 0.40, p <0.001), depression (β = 0.32, p = 0.001) and PTSD (β = 0.04, p = 0.015). Government initiatives should consider tackling fear concerning pandemics among Syrian refugee parents to help enhance their mental well-being.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".