Worries of Pregnant Women: Testing the Farsi Cambridge Worry Scale
Bibliographic record
Abstract
Pregnancy adds many sources of concerns to women's daily life worries. Excessive worry can affect maternal physiological and psychological state that influences the pregnancy outcomes. The aim of this study was to validate the Cambridge Worry Scale (CWS) in a sample of Iranian pregnant women. After translation of the CWS, ten experts evaluated the items and added six items to the 17-item scale. In a descriptive cross-sectional study, 405 of pregnant women booked for prenatal care completed the Farsi CWS. We split the sample randomly. Exploratory factor analysis (EFA) was conducted on the first half of the sample to disclose the factorial structure of the 23-item scale. The results of the EFA on the Farsi CWS indicated four factors altogether explained 51.5% of variances. Confirmatory factor analysis (CFA) was done on the second half of the sample. The results of the CFA showed that the model fit our data (chi-square/df = 2.02, RMSEA = 0.071, SRMR = 0.071, CFI = 0.95, and NNFI = 0.94). Cronbach's alpha coefficient for the Farsi CWS was 0.883. The Farsi CWS is a reliable and valid instrument for understanding common pregnancy worries in the third trimester of pregnancy in Iranian women.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".