Breastfeeding Patterns in Mothers with Inflammatory Bowel Disease: A Pilot Prospective Longitudinal Study
Bibliographic record
Abstract
BACKGROUND: Breastfeeding practices in patients with inflammatory bowel disease (IBD) remain unknown. We aimed to characterize these practices and describe factors that may lead to early discontinuation. METHODS: This was a pilot, prospective, longitudinal study enrolling mothers with IBD from 2014 to 2017. Patients completed surveys on breastfeeding at time of delivery and up to 12 months postpartum. Breastfeeding discontinuation rates were reported for all patients with IBD and compared between patients with ulcerative colitis and Crohn's disease. Reproductive knowledge was defined using the Crohn's and Colitis Pregnancy Knowledge score. The Mann-Whitney U test assessed for differences between continuous variables, whereas categorical variables were compared using the chi-square test. RESULTS: A total of 74 mothers with IBD were included, 47 with ulcerative colitis and 27 with Crohn's disease. Breastfeeding rates in mothers with IBD was 94.6% at delivery, 73.9% at 3 months postpartum, 55.2% at 6 months postpartum, and 30.1% at 12 months postpartum. The most common reasons for discontinuing breastfeeding before 6 months postpartum included perceived insufficient milk production and concerns of infant medication exposure through breast milk. Compared with those who continued breastfeeding beyond 6 months postpartum, those who discontinued had lower median Crohn's and Colitis Pregnancy Knowledge scores (14.0 vs 9.0; P = .04). CONCLUSIONS: Though most mothers with IBD initiate breastfeeding at time of delivery, about half continue beyond 6 months postpartum. Common reasons for this include perceived insufficient milk production and medication concerns. Larger studies are required to validate our findings in more generalizable settings such as primary and secondary care.
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".