Does the Level of Reproductive Knowledge Specific to Inflammatory Bowel Disease Predict Childlessness among Women with Inflammatory Bowel Disease?
Bibliographic record
Abstract
BACKGROUND: Women with inflammatory bowel disease (IBD) may choose to remain childless due to a lack of IBD-specific reproductive knowledge. OBJECTIVES: To examine the effects of IBD-specific reproductive knowledge and discussion of family planning with a physician on childlessness among women with IBD. METHODS: Female IBD patients 18 to 45 years of age completed the Crohn's and Colitis Pregnancy Knowledge questionnaire (CCPKnow), and answered questions regarding reproductive history, plans to have children and discussion of family planning with a physician. CCPKnow scores were grouped according to poor (0 to 7), adequate (8 to 10), good (11 to 13) and very good (14 to 17). RESULTS: Of 434 eligible women, 248 (57.1%) completed the questionnaires. Of these 248 women, 51.6% were childless and, among these, 12.9% were voluntarily childless and 12.1% were trying to become pregnant. Childless women had a lower median CCPKnow score than women with children (6.0 versus 8.0; P=0.001). After adjusting for current age and marital status, each one point increase in the CCPKnow score corresponded to 8% lower odds of childlessness (OR 0.92 [95% CI 0.86 to 0.99]), 9% lower odds of voluntary childlessness (OR 0.91 [95% CI 0.79 to 1.0]) and 20% higher odds of trying to become pregnant (OR 1.2 [95% CI 1.0 to 1.4]). Discussion of family planning with a gastroenterologist corresponded to 72% lower odds of a poor CCPKnow score (OR 0.28 [95% CI 0.15 to 0.53]) and of voluntary childlessness (OR 0.28 [95% CI 0.057 to 1.3]). CONCLUSION: In the present study, higher IBD-specific reproductive knowledge lowered the odds of childlessness among women with IBD. Discussion of family planning with a physician was associated with higher CCPKnow scores and lower odds of voluntary childlessness.
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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 | 0.001 | 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 | 0.001 |
| 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".