Keywords
myocardial infarction
obesity
cross-sectional study
NHANES
Categories
How to Cite
Abstract
Background Cardiovascular diseases(CVD) is intimately linked to obesity, and its mechanisms can cause metabolic abnormalities affecting multiple systems, which raises the risk of adverse effects on population health. It has been demonstrated that the Body Roundness Index (BRI), a quantitative assessment derived from human morphologic factors, is highly effective in determining the accumulation of visceral fat.There has yet insufficient data to suggest the possible biological relationship and clinical importance between BRI and myocardial infarction (MI), and previous research has not thoroughly examined the independent association between the two conditions. The current study, which was based on the National Health and Nutrition Examination Survey (NHANES) database, sought to provide a new the oretical foundation for cardiovascular disease risk stratification by revealing the dose-response relationship between BRI and MI and its potential modulation mechanism through a large-sample cross-sectional analysis.
Methods This cross-sectional analysis utilized data from the NHANES database, including 13,243 U.S. adults aged 20 years and older. The main statistical approach employed was hierarchical logistic regression modeling. Firstly, To elucidate the relationship between BRI and MI, we constructed both univariate and multivariate models to screen for confounding factors. Furthermore, the Restricted Cubic Spline (RCS) model was implemented to validate the nonlinear relationship between BRI and MI events, and subgroup interaction effects tests were conducted to assess heterogeneity. Receiver Operating Characteristic (ROC) analysis was performed, and the area under the curve (AUC) was calculated and compared with the conventional obesity index, BMI, to evaluate the predictive performance of the BRI and determine its clinical diagnostic utility.
Results Participants in the MI group had significantly higher BRI scores (6.5 vs 5.6) than those in the non-MI group, and the fully adjusted model in the multifactorial regression analyses additionally highlighted a significant negative association between BRI and MI (OR = 0.94, 95% CI: 0.91-0.98) and this relationship remained after transforming the BRI into a quartile-stratified analysis. Subgroup analyses also observed significant gender differences (p for interaction=0.04) and the strength of the association was significantly altered in patients with comorbid hypertension or diabetes mellitus. Furthermore, the analysis of ROC showed that BRI (AUC=0.621) was more accurate than BMI ( AUC=0.544) in predicting the risk of developing MI, suggesting its potential clinical value as an independent predictor.
Conclusion Our results demonstrate that BRI and myocardial infarction are significantly inversely correlated, and keeping an eye on BRI levels is crucial for lowering or preventing myocardial infarction risk. As a sensitivity factor to forecast the likelihood of myocardial infarction, BRI might be helpful.
References
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