| Title: | Dietary Vitamin C and Vitamin E with the Risk of Aortic Aneurysm and Dissection: A Prospective Population-based Cohort Study |
| Journal: | Nutrition Metabolism and Cardiovascular Diseases |
| Published: | 1 Jan 2024 |
| DOI: | https://doi.org/10.1016/j.numecd.2024.01.024 |
Publication 9027
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Background and Aims The associations between dietary vitamin C (VC), vitamin E (VE) intake and aortic aneurysm and dissection (AAD) remain unclear. This study aimed to prospectively investigate the associations between dietary VC and VE with the incident risk of AAD. Methods and Results A total of 139,477 participants of UK Biobank cohort were included in the analysis. Dietary VC and VE consumptions were acquired through a 24-hour recall questionnaire. Cox proportional regression models were used to examine the associations between VC, VE intake and the risk of AAD. Incident AAD was ascertained through hospital inpatient records and death registers. During a median follow-up of 12.5 years, 962 incident AAD events were documented. Both dietary VC [adjusted hazard ratio (HR), 0.77; 95% confidence intervals (CI), 0.63-0.93; P-trend = 0.008] and VE (adjusted HR, 0.70; 95% CI, 0.57-0.87; P-trend = 0.002) were inversely associated with incident AAD when comparing the participants in the highest quartile with those in the lowest. In subgroup analyses, the associations were more pronounced in participants who were over 60 years old, participants with smoking history, hypertension or hyperlipidemia, who were under the high risk of AAD. Conclusion Higher dietary VC and VE intakes are associated with reduced risk of AAD. Our study emphasizes the importance of diet adjustment strategies targeted on VC and VE to lower the incidence rate of AAD especially in the high-risk population.</p>
17 Authors
- Chuan-Rui Zeng
- Jing-Wei Gao
- Mao-Xiong Wu
- Si You
- Zhi-Teng Chen
- Qing-Yuan Gao
- Zhao-Xi Cai
- Pin-Ming Liu
- Yang-Wei Cai
- Xiao-Tian Liang
- Jie-Wen Cai
- Guang-Hong Liao
- Nuo Chen
- Ze-Gui Huang
- Jing-Feng Wang
- Hai-Feng Zhang
- Yang-Xin Chen
1 Application
| Application ID | Title |
|---|---|
| 91090 | Predictors of coronary artery calcification (CAC) progression in the UKB population |
Enabling scientific discoveries that improve human health