High Residential Sun Exposure Is Associated With a Low Risk of Incident Crohnʼs Disease in the Prospective E3N Cohort
Bibliographic record
Abstract
BACKGROUND: Vitamin D insufficiency has been suggested to be associated with high risk of Crohn's disease (CD). In France, where food fortification is limited, the major source of vitamin D is through sun exposure. The aim of this work was to analyze the relationship between residential sun exposure and the risk of incident CD or ulcerative colitis (UC). METHODS: The E3N cohort consists of women living in France, aged 40 to 65 years and free of major diseases at inclusion in 1990. Among the 91,870 women included in the study, we identified 123 incident cases (45 CD, 71 UC, and 7 indeterminate colitis). To assess residential sun exposure, we used a database containing mean daily ultraviolet radiation (UVR) dose for each French county. The relationship between residential sun exposure and risk of incident inflammatory bowel diseases was explored using Cox models. RESULTS: Higher levels of residential sun exposure were associated with a significant decreased risk of CD (hazard ratio [HR] for the third versus the first tertile of UVR dose, 0.49; 95% confidence interval (CI), 0.23-1.01; P for trend = 0.04), but not of UC (HR, 1.21; CI, 0.61-2.11). In women with available data on dietary vitamin D intake, we observed a lower risk of CD with higher residential UVR (HR, 0.29; 95% CI, 0.11-0.80; P for trend = 0.01). Dietary vitamin D intake was neither associated with the risk of CD (HR, 0.41; 95% CI, 0.14-1.24; P for trend = 0.14) nor UC (HR, 1.61; CI, 0.61-4.23). CONCLUSIONS: In this prospective cohort of women, high residential sunlight exposure was associated with decreased incidence of CD, but not UC.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".