A174 PERCEPTIONS OF CANNABIS USE IN WOMEN WITH INFLAMMATORY BOWEL DISEASE OF REPRODUCTIVE AGE: A CROSS-SECTIONAL STUDY
Bibliographic record
Abstract
Abstract Background Cannabis use in inflammatory bowel disease (IBD) may lead to improvement in pain and general health perception. However, its use during pregnancy may result in adverse outcomes such as preterm birth and altered fetal brain development. It remains unknown how women with IBD perceive Cannabis use during pregnancy and whether they discuss its use with their health-care providers. Aims To determine practices in, and perceptions of, cannabis use during pregnancy in women with IBD of reproductive age. Methods Women with IBD (age 18–45) were recruited at Mount Sinai Hospital and via social media platforms. Participants anonymously completed surveys on baseline demographics and IBD characteristics. They also completed a Cannabis questionnaire which asked about current use, perceived risks during pregnancy, and discussions with health-care providers. Categorical variables were reported as frequencies and compared using the chi-square test. Continuous variables were reported as medians and compared using the Mann-Whitney U test. Results Sixty-four women were included, 26 (40.6%) with ulcerative colitis, 37 (57.8%) with Crohn’s disease, and 1 (1.6%) with indeterminate colitis. Nineteen (29.7%) were preconception, 40 (62.5%) were pregnant, and 5 (7.8%) were post-partum. Eleven (18.0%) patients reported current Cannabis use, 4 (6.3%) during pregnancy. Cannabis users were more likely to have discussed its use with a health-care provider compared to non-users (45.5% vs. 5.7%, p<0.001) and had longer IBD duration (12.00 vs. 9.00 years, p=0.05). Twenty-five (42.4%) were unsure of the risks of Cannabis use in pregnancy, of which only two had discussed this with a health-care provider. Reasons for fear of Cannabis use included risk of fetal oxygen restriction (n=13, 20.3%), impact on brain development (n=29, 46.0%), and risk of fetal respiratory issues (n=18, 28.6%). Only eight (12.5%) patients reported having a conversation about Cannabis use during pregnancy with their health-care provider; all of whom felt its consumption was unsafe during pregnancy. Conclusions Many women with IBD report being unsure of risks of Cannabis use during pregnancy. With the legalization of Cannabis in Canada, it is imperative patients and health-care providers discuss the risks and benefits of its use, particularly during vulnerable times such as pregnancy. Funding Agencies None
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".