Associations of Long‐Term Night Shift Work With Incident Irritable Bowel Syndrome: A Population‐Based Cohort Study
Bibliographic record
Abstract
BACKGROUND AND AIM: To explore the impact of long-term night shift work on the incidence of irritable bowel syndrome (IBS) and the underlying mechanism. METHODS: This cohort study included 239 760 participants who were in paid employment or self-employed from the UK Biobank. The start date refers to the date when a participant joined the cohort between 2006 and 2010, whereas the end of follow-up was December 31, 2021. In-depth lifetime employment information was used to calculate the duration and frequency of night shifts. Low-grade inflammation index (INFLA score) was calculated from five circulating inflammatory biomarkers. Cox proportional hazard models were used to estimate the relationships between long-term night shifts and IBS risk. RESULTS: An increasing trend of IBS incidence was observed from day workers to regular night shift workers. Compared to day workers, rarely/some night shift workers (HR 1.097, 95% CI 1.007-1.195) and usual/permanent night shift workers (HR 1.213, 95% CI 1.046-1.407) had a higher risk of IBS. INFLA score significantly mediated this association (mediation proportion 3.6%, p < 0.05). Workers with a longer duration (≥ 3 years) (HR 1.241, 95% CI 1.073-1.436) and a higher frequency of night shifts (> 7 shifts/month) (HR 1.248, 95% CI 1.045-1.491) also showed higher IBS risks. CONCLUSION: Night shift work, longer night shift duration, and higher night shift frequency were associated with higher risks of IBS. The potential underlying mechanism may be heightened low-grade inflammation.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".