Nutrition in pregnancy and breastfeeding: A public health issue
Bibliographic record
Abstract
Nutrition during the childbearing continuum has a significant long-term impact upon the health and wellbeing of mother, infant and the wider family unit ( Ferrari et al, 2013 ; World Health Organization (WHO), 2011 , National Institute for Health and Care Excellence, (NICE) 2008a ; 2008b ). Despite wide-ranging evidence around healthy eating in pregnancy, there is a dearth of information readily available to women on appropriate nutritional intake while breastfeeding. This major public health issue affects the current climate of increasing levels of obesity and widespread poorly balanced diet in women of a childbearing age ( Aubuchon-Endsley et al, 2015 ). The frontline roles of the midwife and health visitor have enormous potential to promote healthy behavioural change, with the need for joined-up community-based care higher than ever due to under-resourced postnatal services ( Fraser and Cullen, 2006 ). Health visitors and midwives should strive to collaborate with women ensuring the fundamental components of a healthy and balanced diet are met while breastfeeding, including addressing portion size, and nutritional values of micronutrients and essential food groups. This would equip women with the necessary tools to create positive behavioural lifestyle changes, important for the longer-term inter-generational health of families and the wider community.
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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 | 0.004 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".