Population Attributable Risks of Potential Modifiable Factors for Atrial Fibrillation in China: A National Survey
- PMID: 35726314
- PMCID: PMC9206524
- DOI: 10.2147/RMHP.S360285
Population Attributable Risks of Potential Modifiable Factors for Atrial Fibrillation in China: A National Survey
Abstract
Background: There is an association between atrial fibrillation (AF) and overall mortality as well as mobility. It is not known, however, what the preventable burden of AF in China is. This study aims to identify what proportion of the burden of AF may be avoided by modifiable risk factors.
Methods: As part of the China National Stroke Screening and Prevention Project, 726,451 adults aged ≥40 years were enrolled in a representative cross-sectional study. The following seven factors have been categorized as modifiable risk factors for AF: body mass index, smoking, alcohol consumption, physical inactivity, hypertension, diabetes mellitus, and dyslipidemia. In order to calculate population-attributable risks (PARs), odds ratios (ORs) were calculated for selected risk factors.
Results: The crude ORs increased with age (ORs ranged from 1.92 to 4.02). A total of 18,736 cases of prevalent AF have been identified. The overall prevalence of AF was 2.6%. The crude ORs increased with age (ORs range 1.92-4.03). The adjusted ORs and the corresponding confidence intervals (CIs) for these seven modifiable factors were 1.16 (95% confidence interval [CI]: 1.12-1.19), 1.56 (95% CI: 1.49-1.62), 2.15 (95% CI: 2.02-2.28), 2.07 (95% CI: 2.01-2.14), 2.71 (95% CI: 2.62-2.79), 2.10 (95% CI: 2.02-2.19), 2.52 (95% CI: 2.44-2.60), and 3.32 (95% CI: 3.18-3.48), respectively. Accordingly, 59.3% of all cases of AF could be explained by having these modifiable risk factors, among which hypertension accounted for the greatest share.
Conclusion: In China, hypertension is the leading preventable cause of AF, and more than half of these cases can be prevented through improving those modifiable risk factors.
Keywords: atrial fibrillation; hypertension; odds ratio; population attributable risk; risk factors.
© 2022 Nie et al.
Conflict of interest statement
The authors declare that they have no conflicts of interest in this work.
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References
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