| Title: | Associations of dietary patterns with risk of gastrointestinal disorders: a prospective cohort study |
| Journal: | Food & Function |
| Published: | 26 Jul 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39056582/ |
| DOI: | https://doi.org/10.1039/d4fo01668h |
Publication 12770
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Abstract
Gastrointestinal (GI) disorders are highly prevalent and severely diminish life quality. It is yet unknown which dietary pattern is optimal for the prevention of GI disorders. Among 141 450 participants from UK Biobank with a median follow-up of 15 years, we comprehensively assessed 13 dietary patterns in relation to 6 GI disorders. Multivariable Cox proportional hazards models demonstrated that adherence to healthy diets was associated with lower risk of GI disorders, with the strongest associations observed for the Dietary Approaches to Stop Hypertension (DASH) diet (HRQ4 vs. Q1 = 0.85, 95% CI: 0.81, 0.88), the Alternate Mediterranean Diet (AMED) (HRQ4 vs. Q1 = 0.85, 95% CI: 0.81, 0.88), and the Alternate Healthy Eating Index-2010 (AHEI-2010) (HRQ4 vs. Q1 = 0.86, 95% CI: 0.82, 0.89). AHEI-2010 (HRs ranging from 0.76 to 0.90) and DASH (HRs ranging from 0.75 to 0.88) showed inverse associations with every individual GI disorder. Furthermore, comorbidities decreased significantly in number with higher AMED and DASH diet scores (P for trend <0.001). Finally, the associations of AHEI-2010, AMED and DASH with GI disorders diminished most intensely after removing the component of fruits or whole grains. The combined intake of fruits and whole grains was inversely associated with the risk of overall GI disorders (HRT3 vs. T1 = 0.89, 95% CI: 0.86, 0.93). In conclusion, AHEI-2010 and DASH were the most recommended dietary patterns for the prevention of GI disorders. Fruits and whole grains are the most significant contributors to the protective effect.</p>
16 Authors
- Weiyi Chen
- Yingying Zhao
- Haojie Lu
- Jing Yi
- Jia Li
- Xuemei Song
- Jia Zhang
- Shuaishuai Yang
- Jingjing Ni
- Zhen Wang
- Yuting Shi
- Yuxin Ni
- Zhihao Zhang
- Sijia Zhu
- Shaofa Nie
- Li Liu
1 Application
| Application ID | Title |
|---|---|
| 88159 | Fine-mapping, genetic correlation and genetic risk prediction for complex traits in different populations |
Enabling scientific discoveries that improve human health