Maternal obesity in pregnancy: Women's understanding of risks
Bibliographic record
Abstract
Aim: To explore obese women's perceptions of obesity as a risk factor in pregnancy and their experiences of NHS maternity care. Methods: Open-ended, semi-structured interviews were used to gain an in-depth understanding of participants’ experiences. Eight women were interviewed in their own homes in Edinburgh and the surrounding area. All had a pregnancy of beyond 34 weeks’ gestation and had a body mass index (BMI) greater than 40 kg/m2 at pregnancy booking. Findings: Participants were aware of obesity as a risk factor in pregnancy, but this awareness had developed only during the index pregnancy. Some participants felt the significant risks posed by obesity in pregnancy had not been explained adequately to them, both prior to and early in the pregnancy. This had caused significant anxiety in some cases. Conclusions: There is a need for opportunistic health promotion aimed at disseminating information about the risks of obesity in pregnancy to overweight and obese women of childbearing age. In addition, midwives need guidance in discussing this sensitive issue with women, in order to promote open communication and effective clinical care.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".