Gaining insight from future mothers: A survey of attitudes and perspectives of childbirth
Bibliographic record
Abstract
OBJECTIVE: To determine whether participant characteristics and/or birth preferences of future mothers are associated with a fear of birth. DESIGN: A cross-sectional survey was used to determine if fear of birth could be profiled in specific participant characteristics and birth choices. SETTING: Urban New Zealand university. PARTICIPANTS: A convenience sample of women (final n = 339) who were < 40 years old, attending university, not pregnant nor had been pregnant but wished for at least one child in the future. FINDINGS: Multivariable analysis identified a subset of four variables that were independently associated with the instrument Childbirth Fear Prior to Pregnancy (CFPP) measuring fear of birth (mean CFPP=38.0, SE=10.1). Preferences of birth by caesarean section (n=32, mean CFPP=44.3, SE=1.8, p < 0.0001), use of epidural analgesia (n=255, mean CFPP=45.0, SE=1.1, p < 0.0001), participants born outside of New Zealand (n=123, mean CFPP=42.9, SE=1.4, p < 0.0001), and participants who scored > 20 ('severe') for depression on DASS-21 scale (n=11, mean CFPP=44.8, SE=1.7, p < 0.0001) were all positively associated with CFPP. Post-hoc analyses revealed that mean CFPP was higher for those that perceived birth technologies as easier, safer, necessary, and required. CONCLUSIONS: Women born outside of New Zealand and/or suffering 'severe' depression were more likely to have a fear of birth. Fear of birth was associated with the participants choices towards medicalised childbirth. Familiarising women with the provision of maternity care in New Zealand and identifying mental health status early could reduce fear of birth and possibly support the vaginal birth intentions of future parents.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 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".