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Wang K, Liu H, Liu J, Han L, Kang Z, Liang L, Jiang S, Meng N, Chen P, Xu Q, Wu Q, Hao Y. Factors related to irritable bowel syndrome and differences among subtypes: A cross-sectional study in the UK Biobank. Front Pharmacol 2022; 13:905564. [PMID: 36091797 PMCID: PMC9458926 DOI: 10.3389/fphar.2022.905564] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 07/18/2022] [Indexed: 11/15/2022] Open
Abstract
Background: Irritable bowel syndrome (IBS) reduces patients' quality of life and causes great burdens due to its unclear pathogenesis and criteria for diagnosis. This study aimed to explore the differences in prevalence and the influencing factors for IBS and its subtypes. Methods: The UK Biobank surveyed 174,771 adult participants who completed the Digestive Health Questionnaire (DHQ) through emails and websites. DHQ included the Rome III criteria, IBS symptom severity score, and Patient Health Questionnaire 12 Somatic Symptom score. The UK Biobank also asked regarding previous IBS diagnosis, diagnosis for post-infectious IBS (PI-IBS), and environmental exposures and associated conditions (including anxiety or depression, based on treatment sought or offered). Pearson's Chi-squared test or Wilcoxon's rank-sum test was used for potential associations. Binary logic regression based on sex stratification was used to examine associations between selected factors and IBS and its subtypes. Results: This study included 31,918 participants who met the Rome III criteria for IBS. The pooled prevalence of IBS in the UK Biobank was 18.3%, with mixed IBS as the predominant subtype (59.0%), followed by diarrhea-predominant IBS (25.1%), constipation-predominant IBS (14.7%), and untyped IBS (1.1%). IBS was significantly associated with somatization (male: OR = 5.326, 95% CI = 4.863-5.832; female: OR = 4.738, 95% CI = 4.498-4.992) and coeliac disease (male: OR = 4.107, 95% CI = 3.132-5.385; female: OR = 3.783, 95% CI = 3.310-4.323). Differences in antibiotics and mental status were presented among subtypes and sex. Furthermore, 1,787 individuals were diagnosed with PI-IBS in the group of patients with IBS. The prevalence of PI-IBS in IBS was 16.6% in the UK Biobank, and it was characterized by diarrhea, fever, bloody diarrhea, and vomiting. Conclusion: Somatization and coeliac disease are primary risk factors for IBS. Distinguishing differential risk factors is critical for the precise diagnosis and treatment of IBS subtypes, particularly sex-specific differences in mental health status. General practitioners should focus on the treatment according to IBS subtypes.
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Affiliation(s)
- Kexin Wang
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Huan Liu
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jingjing Liu
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Liyuan Han
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Acadeny of Sciences, Ningbo, Zhejiang, China
| | - Zheng Kang
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Libo Liang
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Shengchao Jiang
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Nan Meng
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Peiwen Chen
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Qiao Xu
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Qunhong Wu
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yanhua Hao
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
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