Predictors of breastfeeding exclusivity among migrant and <scp>C</scp>anadian‐born women: results from a multi‐centre study
Bibliographic record
Abstract
The objective of this study was to examine and compare predictors of breastfeeding exclusivity among migrant and Canadian-born women. As part of a longitudinal study, a sample of 1184 mothers were recruited from 12 hospitals in Canada and completed questionnaires at 1 and 16 weeks post-partum that included diverse questions from the following domains: demographic, social, migration, obstetrical, breastfeeding and maternal mood. After bivariate analysis, multivariate logistic regression analysis was completed to examine and compare predictors of exclusive breastfeeding at 16 weeks post-partum. Among migrant women, factors predictive of breastfeeding exclusivity included non-refugee immigrant or asylum-seeking status, residence in Toronto or Vancouver, maternal age of ≥35 years, feels most comfortable in the country of origin or nowhere and higher Gender-related Development Index of the country of origin. Factors predictive of not exclusively breastfeeding included maternal age of <20 years, not planning to exclusively breastfeed, not making the decision to breastfeed before pregnancy and not exclusively breastfeeding at 1 week post-partum. Among Canadian-born women, factors predictive of a lower likelihood of breastfeeding exclusivity included not living with father of infant, infant neonatal intensive care unit admission, planned duration of exclusive breastfeeding for <6 months, not exclusively breastfeeding at 1 week post-partum and Edinburgh Postnatal Depression Scale score of ≥10. The only similar risk factor predicting a lower likelihood of breastfeeding exclusivity between migrant and Canadian-born women was not exclusively breastfeeding at 1 week post-partum; all other risk factors were dissimilar, suggesting that these groups might benefit from different strategies to optimise breastfeeding outcomes.
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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".