Psychological Resilience and Mental Wellbeing Mitigate the Risk of Irritable Bowel Syndrome
Bibliographic record
Abstract
INTRODUCTION: Comorbidities between mental disorders and irritable bowel syndrome (IBS) have been widely reported, yet associations between mental wellbeing and IBS, particularly regarding underlying genetic modification and proteomic signatures, remain underexplored. METHODS: This prospective cohort study analyzed 75,842 IBS-free participants aiming to investigate the prospective association between mental wellbeing and the risk of IBS in UK Biobank. Mental wellbeing was assessed through life satisfaction, positive affect, neuroticism, and depressive/anxiety symptoms. Cox models evaluate the hazard ratio (HR) for mental wellbeing and plasma proteome in relation to incident IBS during follow-up. Proteomic profiling identified mental wellbeing-associated proteins, with pathway enrichment analysis revealing biological mechanisms. Mediation and Mendelian randomization analyses further examine intermediate pathways and causality. RESULTS: With a 12.4-year follow-up period, 1,400 cases of incident IBS were documented. Better mental wellbeing mitigated IBS risk dose-dependently (low risk group: HR, 0.37; 95% confidence interval [CI]: 0.31-0.43). Higher life satisfaction (HR, 0.41; 95% CI: 0.30-0.56) and positive affect (HR, 0.50; 95% CI: 0.41-0.62) were inversely associated with IBS risk, whereas neuroticism (HR, 2.35; 95% CI: 1.92-2.88) and depressive/anxiety symptoms (HR, 3.09; 95% CI: 2.17-4.42) increased the risk. Findings remained consistent in across prevalent IBS and IBS subtypes. Mental wellbeing effects were independent of genetic predisposition. Mediation analyses revealed about 27% of protective effect of mental wellbeing were mediated through reduced depression and anxiety. Mendelian randomization supports causal protective effects of positive mental wellbeing on IBS. Proteomic profiling identified mental wellbeing-associated proteins mainly enriched in cytokine-cytokine receptor interactions. Chromogranin A and gastrin emerged as key protein biomarkers, showing significant associations with both mental wellbeing components and IBS risk. DISCUSSION: Our study demonstrates that enhanced mental wellbeing confers substantial protection against IBS development, highlighting psychological interventions as potential primary prevention strategies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".