The Extent that Noncompliance with the Ten Steps to Successful Breastfeeding Influences Breastfeeding Duration
Bibliographic record
Abstract
UNLABELLED: BACKGROUND, OBJECTIVES: The Ten Steps to Successful Breastfeeding are not, as yet, the norm in the United States. This study examined how noncompliance with each of the Steps, and combinations of 2 Steps, influence duration of breastfeeding at the breast. METHODS: Data were from the national Infant Feeding Practices Study II. The outcome was duration of any breastfeeding at the breast. Propensity scores modeled the probability of exposure to lacking 1 or more of the Ten Steps. Inverse probability weights controlled for confounding. Survival analyses estimated the relationship between the lack of a Step and breastfeeding duration. RESULTS: Lack of Step 6 (No human milk substitutes) was associated with shorter breastfeeding duration, compared with being exposed to Step 6 (10.5-wk decrease). Lack of both Steps 4 (Breastfeed within 1 hour after birth) and 9 (Pacifiers), together, was related to the greatest decrease in breastfeeding duration (11.8-wk decrease). The findings supported a dose-response relationship: being exposed to 6 Steps was related to the longest median duration (48.8 wk), followed by 4 or 5 Steps (39.8 wk), followed by 2 or 3 Steps (36.4 wk). CONCLUSIONS: Prevalent US maternity care practices do not, as yet, include all of the Ten Steps. This lack of care may be associated with poor establishment of the physiological feedback systems that support sustained breastfeeding. Breastfeeding at the breast is compromised when specific combinations of Steps are lacking. Efforts to increase implementation of specific Steps and combinations of Steps may be associated with increased duration of breastfeeding.
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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 | 0.005 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".