Breastfeeding practices and associated factors at the individual, family, health facility and environmental levels in China
Bibliographic record
Abstract
We examined the association between breastfeeding practices and associated factors using cross-sectional data from face-to-face interviews with 9,745 mother-child dyads in China. The study collected information on breastfeeding practices and potential associated factors at the individual, family, health facility and environmental levels in China. We used survey commands in Stata to consider sampling weight and survey design effects. Although breastfeeding was the norm (97.4% ever breastfed), the prevalence of early initiation of breastfeeding (EIBF) in 0-11 months old was 8.2%, exclusive breastfeeding (EBF) in 0-5 months old was 27.8% and breastfeeding on the previous day in 6-11 months old was 77.5%. The prevalence of EIBF was lower for caesarean delivery and among mothers belonging to ethnic minority groups. The prevalence of EBF was higher among mothers who practiced EIBF, received information that encouraged breastfeeding and knew that a baby should be breastfed on demand and exclusively. By contrast, the prevalence of EBF was lower in mothers who received infant formula advice or felt uneasy breastfeeding in public places. The prevalence of breastfeeding on the previous day was higher among mothers whose partners supported breastfeeding and who knew about timing of colostrum production, EBF for 6 months, and to nurse more to stimulate milk production. The prevalence of breastfeeding on the previous day was lower in mothers who received infant formula advice or felt uneasy breastfeeding in public places. In conclusion, we found that the prevalence of EIBF and EBF practices in China was low and associated with factors at individual, family, health facility and environmental levels.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".