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Beyond BMI: the predictive value of body roundness index for cardiovascular mortality and related disparities: a
Mohamed Ibrahim1, Ibrahim Hassan2, Hashim AlHammouri3
1Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, USA.
Insights
Higher Body Roundness Index (BRI) is linked to increased cardiovascular mortality (CVM), even in normal weight individuals. This novel measure may improve risk assessment for heart disease.
Area of Science:
- Cardiology
- Public Health
- Anthropometry
Background:
- Obesity and visceral adiposity are major contributors to cardiovascular mortality (CVM).
- Traditional metrics like body mass index (BMI) do not accurately reflect fat distribution.
- The Body Roundness Index (BRI) is a new measure assessing body shape and visceral fat.
Purpose of the Study:
- To investigate the association between BRI and CVM in US adults.
- To analyze BRI's relationship with CVM across different sociodemographic groups.
- To evaluate BRI as a potential tool for cardiovascular risk stratification.
Main Methods:
- Analysis of data from 31,351 US adults (NHANES 1999-2018).
- Exclusion of participants with prior cardiovascular disease or cancer.
- Computation of BRI using waist circumference and height; categorization into quintiles.
- Use of Cox proportional hazards and restricted cubic spline models for association analysis.
- Adjustment for demographic, behavioral, and clinical factors; subgroup analyses performed.
Main Results:
- A 54% higher risk of CVM was observed in the highest BRI quintile compared to the reference group (HR, 1.54; p=0.006).
- This elevated CVM risk persisted even among individuals with normal BMI.
- Restricted cubic spline analysis suggested a modest U-shaped association between BRI and CVM.
- Stronger associations were noted in middle-aged adults (45-64 years) and those with higher education.
Conclusions:
- Elevated BRI is an independent predictor of increased cardiovascular mortality.
- BRI shows potential as a practical, noninvasive tool for identifying individuals at high cardiovascular risk.
- Integrating BRI into health assessments could enhance the identification of at-risk populations, especially middle-aged adults and those with normal BMI.
Aims:
Obesity, particularly visceral adiposity, is a key driver of cardiovascular mortality (CVM), yet conventional measures such as body mass index (BMI) inadequately capture fat distribution. The Body Roundness Index (BRI) is a novel anthropometric measure integrating waist circumference and height to better reflect body shape and visceral fat. This study examined the association between BRI and CVM in U.S. adults and across sociodemographic subgroups.
Methods And Results:
We analysed data from 31 351 adults (median age 43 yrs, 50% females) aged ≥20 years in NHANES 1999-2018, excluding those with prior cardiovascular disease or cancer. BRI was computed using a validated equation and categorized into quintiles (Q3 as reference). The primary outcome was CVM; secondary outcomes included all-cause, heart disease, and cerebrovascular mortality. Weighted Cox proportional hazards and restricted cubic spline (RCS) models evaluated associations after adjustment for demographic, behavioural, and clinical factors. Subgroup and sensitivity analyses tested consistency and effect modification. During a median follow-up of 10.1 years (IQR: 5.3-14.9 years), 883 cardiovascular deaths occurred. In fully adjusted models, participants in the highest BRI quintile had a 54% higher risk of CVM (HR, 1.54; 95% CI, 1.13-2.08; P = 0.006) vs. Q3. This risk remained high even among those with normal BMI. RCS analysis indicated a modest U-shaped association. Stronger effects were observed among middle-aged adults (45-64 years) and those with higher educational attainment.
Conclusion:
Higher BRI is independently associated with increased cardiovascular mortality, particularly among middle aged adults and those with normal BMI, underscoring its potential as a practical, noninvasive tool for cardiovascular risk stratification. Incorporating BRI into clinical and public health assessment may improve identification of individuals at elevated risk.
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