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The Association Between Body Roundness Index and Cardiovascular Disease Risk: An Analysis Based on the CHARLS
Yazhao Sun1, Pei Sun1, Jianfeng Liu2
1Department of Cardiology, Cangzhou People's Hospital, 061000 Cangzhou, Hebei, China.
Insights
The body roundness index (BRI) is a sensitive marker for cardiovascular disease (CVD) risk. Higher BRI is non-linearly associated with increased CVD incidence, particularly in specific subgroups.
Area of Science:
- Cardiology
- Public Health
- Anthropometry
Background:
- The body roundness index (BRI) provides a more accurate assessment of body fat and visceral fat compared to traditional measures.
- Limited research exists on the association between BRI and cardiovascular disease (CVD) risk.
Purpose of the Study:
- To investigate the relationship between BRI and the risk of developing CVD.
- To explore the non-linear associations and identify subgroups where BRI may be a significant predictor of CVD.
Main Methods:
- Kaplan-Meier analysis was used to estimate survival differences across BRI quartiles.
- Cox proportional hazards and restricted cubic spline (RCS) models examined the association between BRI and CVD risk.
- Subgroup, sensitivity, and interaction analyses were conducted to validate findings.
Main Results:
- A strong, non-linear association was observed between higher BRI and increased CVD risk.
- Significant differences in survival rates were noted across BRI quartiles.
- Interactions between BRI and factors like gender, age, hypertension, diabetes, alcohol, and smoking were significant.
Conclusions:
- The BRI demonstrates a significant non-linear relationship with CVD risk.
- BRI can serve as a valuable and sensitive indicator for identifying individuals at high risk of CVD.
- The predictive value of BRI varies across different population subgroups, highlighting its potential for personalized risk assessment.
Background:
The body roundness index (BRI) offers a more precise evaluation of body fat and visceral fat levels. However, studies on the relationship between BRI and the risk of cardiovascular disease (CVD) remain limited.
Methods:
Survival differences across BRI quartiles were estimated using Kaplan-Meier analysis. The association between the BRI and the risk of CVD was examined through Cox proportional hazards and restricted cubic spline (RCS) models. Additional subgroup and sensitivity analyses were also conducted.
Results:
This study included 6401 patients (47.43% male), with an incidence of CVD of 17.51%. Kaplan-Meier survival analysis revealed statistically significant differences between groups based on the assigned BRI quartiles. Cox models revealed a strong association between the BRI and CVD risk, while RCS models showed a non-linear link between higher BRIs and increased CVD risk. In certain subgroups, an elevated BRI was closely correlated with an increased incidence of CVD. Notable interactions were found between BRI and gender, age, hypertension, diabetes, alcohol consumption, and smoking status. Sensitivity analysis excluding early CVD cases yielded consistent results.
Conclusion:
A significant non-linear association was found between the BRI and CVD risk. The BRI could be a valuable and sensitive marker for identifying individuals at high risk of CVD, with varying predictive value across different population subgroups.
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