Early life exposures and risk of inflammatory bowel disease: A nested case-control study in Quebec, Canada
Bibliographic record
Abstract
BACKGROUND: Early life factors for inflammatory bowel disease are likely to impact the gut microbiota. AIM: We investigated the associations between early exposures and inflammatory bowel disease. METHODS: This case-control study was nested within the CO·MMUNITY cohort. Cases of Crohn's disease (CD) and ulcerative colitis (UC) were identified using validated algorithms. All cases and randomly selected controls were invited to complete a questionnaire including early life exposures. Analyses were conducted by logistic regression and causal mediation (direct/indirect effects for passive/active smoking). RESULTS: Early introduction of solid foods at 3-6 months tended to increase CD risk compared to later introduction (>6 months): OR = 1.23; 95 % CI: 0.96-1.56, but not of UC. Exclusive breastfeeding tended to decrease the risk of CD (OR = 0.77; 95 % CI: 0.55-1.08), less so for UC. Antibiotics tended to decrease CD (OR = 0.89; 95 % CI: 0.74-1.07) and UC (OR = 0.88; 95 % CI: 0.71-1.09). No association was found between pets and CD or UC. Passive smoking increased CD risk (OR = 1.23; 95 % CI: 1.00-1.51), 20 % of which was mediated by active smoking, but not UC. CONCLUSION: Differences were noticed in early risk factors for CD and UC. The impact of passive smoking was largely independent of active smoking, highlighting its importance for prevention.
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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 | 0.000 | 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 | 0.000 |
| 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".