Elevated Perinatal Depression during the COVID-19 Pandemic: A National Study among Jewish and Arab Women in Israel
Bibliographic record
Abstract
This study assessed prevalence of perinatal depression symptoms (PNDS) during the COVID-19 pandemic among Arab and Jewish women in Israel and identified COVID-19-related risk factors for PNDS, while comparing Arab and Jewish women. Sample included 730 perinatal women (604 Jewish and 126 Arab) aged 19-45 years, who filled out an online self-report questionnaire. The questionnaire assessed several areas: perinatal experiences and exposure to COVID-19, social support, and financial and emotional impact. PNDS was measured by the Edinburgh Postnatal Depression Scale (EPDS). Prevalence of PNDS (EPDS ≥ 10) in the entire study population was 40.0%. Prevalence among Arab women was significantly higher compared to Jewish women (58% vs. 36%, PV < 0.001). Higher PNDS were significantly associated with anxiety symptoms (GAD ≥ 10) (PV < 0.001), stress related to COVID-19 (PV < 0.001), adverse change in delivery of healthcare services (PV = 0.025), and unemployment (PV = 0.002). PNDS has elevated more than twofold during COVID-19 in Israel. Such high rates of PNDS may potentially negatively impact women, and fetal and child health development. This situation requires special attention from public health services and policy makers to provide support and mitigation strategies for pregnant and postpartum women in times of health crises.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".