Determinants of Nonmedically Indicated In-Hospital Supplementation of Infants Whose Birthing Parents Intended to Exclusively Breastfeed
Bibliographic record
Abstract
BACKGROUND: Despite high rates of intention to exclusively breastfeed, rates of exclusive breastfeeding in Canada are low. Supplementation may begin in hospital and is associated with reduced breastfeeding duration. Research aim: The aim of this investigation was to explore determinants of in-hospital nonmedically indicated supplementation of infants whose birthing parents intended to exclusively breastfeed. METHODS: This study is a cross-sectional one-group nonexperimental design, focused on participants who intended to exclusively breastfeed for 6 months ( n = 496). Data were collected between October 2011 and October 2015 in Newfoundland and Labrador. Variables measured included age; rural/urban location; education; income; race; marital status; parity; smoking status; having been breastfed as an infant; previous breastfeeding experience; Iowa Infant Feeding Attitude Scale score; delivery mode; infant birth weight; birth satisfaction; skin-to-skin contact; length of participant's hospital stay; breastfeeding advice from a lactation consultant, registered nurse, or physician; and first impression of breastfeeding. We evaluated determinants of in-hospital nonmedically indicated supplementation using bivariate and multivariate logistic regression analyses. RESULTS: Overall, 16.9% ( n = 84) of infants received nonmedically indicated supplementation in hospital. Multivariate modeling revealed four determinants: low total prenatal Iowa Infant Feeding Attitude Scale score (odds ratio [OR] = 1.96, 95% confidence interval [CI] [1.18, 3.27]), no previous breastfeeding experience (OR = 2.03, 95% CI [1.15, 3.61]), negative first impression of breastfeeding (OR = 2.67, 95% CI [1.61, 4.43]), and receiving breastfeeding advice from a hospital physician (OR = 2.86, 95% CI [1.59, 5.15]). CONCLUSION: Elements of the hospital experience, self-efficacy, and attitudes toward infant feeding are determinants of nonmedically indicated supplementation of infants whose birthing parents intended to exclusively breastfeed.
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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 | 0.000 | 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) | 0.001 | 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".