Psychosocial Factors Associated With the Abandonment of Breastfeeding Prior to Hospital Discharge
Bibliographic record
Abstract
A prospective study of 556 women from Perth, Western Australia, and 503 women from the Darling Downs area, Queensland, Australia, was conducted to identify factors associated with the abandonment of breastfeeding prior to hospital discharge. In total, 88% of women initiated breastfeeding, but 5% discontinued breastfeeding while still in the hospital. Discontinuation of breastfeeding prior to discharge was associated with a number of psychosocial factors, namely, infant feeding method being chosen after becoming pregnant, a perception by the mother that the infant's father either preferred formula feeding or was ambivalent about how the infant was fed, and whether the mother's own mother had ever breastfed. Judicious questioning prenatally regarding a women's commitment to, social support for, and prior exposure to breastfeeding will help identify those women most at risk of abandoning breastfeeding prematurely. Such women should be targeted for additional support while in the hospital.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".