Childhood Maltreatment Is Associated with Ulcerative Colitis but Not Crohnʼs Disease
Bibliographic record
Abstract
BACKGROUND: Previous research suggests a link between childhood adversities and inflammatory bowel disease (IBD); however, study limitations prevent generalization of findings. To address this, the current study uses a Canadian population-based sample to investigate the relationship between 3 childhood adversities and 2 types of IBD while controlling for a range of factors. METHODS: Secondary data analysis of a subsample of the nationally representative 2012 Canadian Community Health Survey-Mental Health consisted of those with no missing data on any of the variables of interest (n = 21,852). The survey response rate was 68.9%. This study used logistic regression to estimate odds ratios of 3 types of childhood adversities (physical abuse, sexual abuse, and witnessing parental domestic violence) separately for ulcerative colitis and Crohn's disease, each compared with those without IBD. The final model controls for sociodemographics, health behaviors, and mental health. The exposure was assessed by retrospective self-report, and the outcome was by self-report of a health professional diagnosis. RESULTS: In a fully adjusted model, those who are physically (odds ratio = 2.28; confidence interval, 1.39-3.75) or sexually abused (odds ratio = 2.64; confidence interval, 1.61-4.33) during childhood had significantly higher odds of ulcerative colitis than their non-maltreated peers. No relationship is found between witnessing parental domestic violence and ulcerative colitis. None of the early adversities are significantly related to Crohn's disease. CONCLUSIONS: Childhood physical and sexual abuse are related to ulcerative colitis, but not Crohn's disease. Future research that can address epigenetic and neuroendocrine factors should investigate pathways through which early adversities may translate into one type of IBD but not another.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".