| Title: | Association between device-measured physical activity and aortic aneurysm risk: A prospective cohort study of 93165 UK biobank participants |
| Journal: | Nutrition Metabolism and Cardiovascular Diseases |
| Published: | 29 Mar 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/42002506/ |
| DOI: | https://doi.org/10.1016/j.numecd.2026.104715 |
Publication 18164
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Abstract
BACKGROUND AND AIM: Aortic aneurysm (AA) is a life-threatening vascular disease with high fatality upon rupture. While physical activity (PA) reduces cardiovascular risk, its role in AA prevention remains uncertain, particularly when assessed objectively.</p>
METHODS AND RESULTS: We analyzed 93,165 UK Biobank participants (56% women; median age 57 years) with valid 7-day wrist-worn accelerometer data. PA was categorized as light (LPA), moderate (MPA), vigorous (VPA), and moderate-to-vigorous (MVPA). Diagnosed AA was ascertained through linked hospital, death, and primary care records. Cox models estimated hazard ratios (HRs) for AA across quartiles and per-standard deviation (SD) increments, with adjustment for demographic, lifestyle, and cardiometabolic factors. Over a median 7.9-year follow-up, 499 clinically recorded AA cases occurred. Higher accelerometer-measured PA was inversely associated with AA risk. Per-SD increments in total PA, MPA, VPA, and MVPA corresponded to 17%, 22%, 19%, and 23% lower risks, respectively. Compared with the lowest quartile, the highest MVPA quartile had a 44% lower AA risk (HR = 0.56, 95% CI 0.42-0.76). Subtype analyses revealed stronger protective effects for abdominal aortic aneurysm (AAA) than thoracic aortic aneurysm (TAA), while LPA was not significantly associated.</p>
CONCLUSIONS: These findings demonstrate that higher levels of accelerometer-measured MVPA are robustly associated with a decreased risk of clinically detected AA in a dose-dependent manner. The associations were particularly pronounced for AAA. This study provides objective evidence supporting the potential benefits of MVPA for aortic health.</p>
9 Authors
- Shaohua Yan
- Changyan Zhu
- Yuqiu Hu
- Wei Guo
- Yujia Liu
- Ting Wang
- Shuyu Jin
- Yangfeng Hou
- Hua Wang
1 Application
| Application ID | Title |
|---|---|
| 68136 | Prediction of the risk of morbidity, recurrence and mortality of cardiovascular diseases and cancer: the effect of environmental, clinical and genetic factors |
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