| Title: | Association of alcohol consumption with aortic aneurysm and dissection risk: results from the UK Biobank cohort study. |
| Journal: | World Journal of Emergency Medicine |
| Published: | 1 Jan 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39600819/ |
| DOI: | https://doi.org/10.5847/wjem.j.1920-8642.2024.096 |
Publication 13643
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Abstract
BACKGROUND: Previous studies have reported inconsistent results with positive, negative, and J-shaped associations between alcohol consumption and the hazard of aortic aneurysm and dissection (AAD). This study aimed to examine the connections between weekly alcohol consumption and the subsequent risk of AAD.</p>
METHODS: The UK Biobank study is a population-based cohort study. Weekly alcohol consumption was assessed using self-reported questionnaires and the congenital risk of alcohol consumption was also evaluated using genetic risk score (GRS). Cox proportional hazards models were used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) for the associations between alcohol consumption and AAD. Several sensitivity analyses were performed to assess the robustness of the results.</p>
RESULTS: Among the 388,955 participants (mean age: 57.1 years, 47.4% male), 2,895 incident AAD cases were documented during a median follow-up of 12.5 years. Compared with never-drinkers, moderate drinkers (adjusted HR: 0.797, 95%CI: 0.646-0.984, P<0.05) and moderate-heavy drinkers (adjusted HR: 0.794, 95%CI: 0.635-0.992, P<0.05) were significantly associated with a decreased risk of incident AAD. Interaction-based subgroup analysis revealed that the protective effect of moderate drinking was reflected mainly in participants younger than 65 years and women.</p>
CONCLUSION: Our findings support a protective effect of moderate alcohol consumption on AAD, but are limited to participants younger than 65 years and women.</p>
14 Authors
- Yaowen Liang
- Guoxiang Zou
- Dingchen Wang
- Weiyue Zeng
- Jiarui Zhang
- Xiaoran Huang
- Miao Lin
- Cong Mai
- Fei'er Song
- Yuelin Zhang
- Jinxiu Meng
- Hongliang Feng
- Yu Huang
- Xin Li
1 Application
| Application ID | Title |
|---|---|
| 88365 | Construction of multimodal symbiosis medical database |
Enabling scientific discoveries that improve human health