Breastfeeding intention and early post-partum practices among overweight and obese women in Ontario: a selective population-based cohort study
Bibliographic record
Abstract
OBJECTIVE: To explore the relationship between overweight and obesity and breastfeeding behaviors, a cohort study was conducted among 22,131 women who delivered in Ontario hospitals between April 1 2008 and March 31 2010. METHODS: Data regarding maternal characteristics, maternal body mass index (BMI), infant characteristics, and breastfeeding practices were obtained through the Better Outcomes Registry & Network birth records Database. Multivariate linear regression analysis was used to determine the rates of three outcome measures - intention to breastfeed, exclusive breastfeeding in hospital, and exclusive breastfeeding upon discharge from hospital - between non-obese, overweight and obese patients. RESULTS: While overweight mothers have similar intentions to breastfeed compared to non-overweight mothers (OR 1.03 (0.87-1.21), obese mothers were less likely to intend to breastfeed (OR 0.84 (0.70-0.99). Overweight and obese mothers were less likely to exclusively breastfeed in hospital compared to non-overweight mothers (aOR 0.67 (0.60-0.75) and 0.67 (0.60-0.75), respectively), and overweight and obese mothers were less likely to exclusively breastfeed on discharge (aOR 0.68 (0.61-0.76) and 0.68 (0.61-0.76), respectively). CONCLUSIONS: This study highlights that while overweight and obese women may benefit more from exclusive breastfeeding compared to non-overweight women, they are less likely to exclusively breastfeed in the immediate post-partum period.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".