Association between migraine and exclusive breastfeeding: A cross‐sectional study
Bibliographic record
Abstract
BACKGROUND: Medical conditions may preclude a mother from exclusively breastfeeding her infant; however, the association between migraine and the duration of exclusive breastfeeding is not well known. OBJECTIVE: To evaluate the association between migraine and the duration of exclusive breastfeeding in a representative sample of Canadian females. METHODS: We used the Canadian Community Health Survey, a cross-sectional survey, to identify females aged 20-49 years who delivered a baby in the previous 5 years. History of migraine was self-reported. Females reported if they breastfed their baby, and among those who did, they further reported the duration of exclusive breastfeeding. We evaluated the association between migraine and the rate of breastfeeding, and the duration of exclusive breastfeeding adjusting for selected covariates. RESULTS: We included 5282 females, of whom 862 (16.3%) had migraine. Compared to females without migraine, females with migraine were less likely to have high income (annual income >$80,000: 362 [42.0] vs. 2276 [51.6]), and more likely to have comorbid mood (176 [20.5] vs. 378 [8.6%]) and anxiety (196 [22.8%] vs. 406 [9.2%]) disorders. Migraine was not associated with breastfeeding (proportion of females who did not breastfeed, migraine vs. no migraine: 114/862 [13.2%] vs. 498/4420 [11.3%]; adjusted odds ratio 1.03; 0.74-1.27); however, females with migraine had lower odds (≥6 months of exclusive breastfeeding: 216/688 [31.4%] vs. 1325/3561 [37.2%]; adjusted odds ratio from ordinal shift analyses 0.84; 0.71-0.99) of longer duration of exclusive breastfeeding than females without migraine. CONCLUSION: Females with migraine exclusively breastfeed their infants for a shorter duration compared to females without migraine, suggesting the need to better support this population through education on the safety and benefits of exclusive breastfeeding and better access to safe and effective treatment of migraine in lactating females.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".