Rates and determinants of exclusive breastfeeding in first 6 months among women in Nova Scotia: a population-based cohort study
Bibliographic record
Abstract
BACKGROUND: Despite compelling evidence that exclusive breastfeeding for the first 6 months of life provides important health benefits to both mothers and their infants, most mothers do not follow this practice. We conducted a study to identify predictors of early cessation of exclusive breastfeeding (before 6 months after delivery). METHODS: For this population-based longitudinal cohort study, we linked data from a perinatal database and a public health database for infants born between 2006 and 2009 in 2 regions in the province of Nova Scotia, Canada. The cohort was followed from the mother's first prenatal visit until her infant was 6 months old. Hazard ratios (HRs) for early cessation of exclusive breastfeeding were determined through Cox proportional hazards regression modelling. RESULTS: Overall, 64.1% (2907/4533) of the mothers in the cohort initiated breastfeeding. Only 10.4% (413/3957) exclusively breastfed for the recommended 6 months. The largest drop in exclusive breastfeeding occurred within the first 6 weeks after birth. Among the mothers who initiated breastfeeding, significant predictors of early cessation of exclusive breastfeeding identified by multivariable modelling included less than high school education (HR 1.66, 95% confidence interval [CI] 1.35-2.04), lowest neighbourhood income quintile (HR 1.35, 95% CI 1.13-1.60), single motherhood (HR 1.24, 95% CI 1.10-1.41), prepregnancy obesity (HR 1.43, 95% CI 1.23-1.65), smoking throughout pregnancy (HR 1.39, 95% CI 1.21-1.60), no early breast contact by the infant (< 1 hour after birth) (HR 1.44, 95% CI 1.29-1.62) and no intention to breastfeed (HR 1.78, 95% CI 1.44-2.16). INTERPRETATION: We found that most predictors of early cessation of breastfeeding were intertwined with social determinants of health. However, we identified potentially modifiable risk factors. Providing opportunities for early breast contact by the infant and continued efforts in smoking cessation and obesity reduction may contribute to a longer duration of exclusive 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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.001 |
| 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".