P1-471 Factors associated with exclusive breastfeeding to 6 months among Canadian Inuit: results from the Inuit health survey for children
Bibliographic record
Abstract
Introduction Inuit Canadians are less likely to initiate breastfeeding compared to other Canadians, although they are more likely to practice exclusive breastfeeding to 6 months. The objective of the present research is to identify factors associated with practicing exclusive breastfeeding to 6 months among Inuit Canadians. Methods We used the Inuit Health Survey for Children, a cross-sectional, population based survey of pre-school aged Inuit children to identify factors associated with exclusive breastfeeding to 6 months. The survey was administered in 16 communities in the territory of Nunavut in 2007 and 2008. Caregivers of Inuit children ages 3 to 5 who lived in a participating community were randomly selected to complete the interviewer- administered questionnaire. Of the 537 caregivers successfully contacted, 388 participated and 242 initiated breastfeeding and were included in our analyses. We used a forwards, stepwise, weighted logistic regression procedure to calculate ORs and 95% CIs for selected variables. Results Preliminary findings suggest that among those initiating breastfeeding, 24.8% (n=60) practiced exclusive breastfeeding to 6 months. Inuit Canadians who speak primarily non-traditional languages in the household (OR=0.47, 95% CI 0.27 to 0.87) and who report severe food insecurity (OR=0.67, 95% CI 0.30 to 0.97) were less likely to practice exclusive breastfeeding to 6 months in multivariable models. Conclusions This is the first study to explore the role of food insecurity on breastfeeding practices among Canadian Inuit. This interesting finding deserves further exploration, particularly given the high prevalence of food insecurity in this population.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".