Visceral Adiposity Thresholds for Cardiovascular Risk Stratification: A Simplified Biomarker‐Driven Model
Main finding · CVD prevalence by VAT threshold (327.0 cm³)Result — go to the resultCVD prevalence 2.41% vs. 1.12%Authors' conclusion
This study establishes the first sex-specific and ethnicity-specific VAT thresholds for CVD risk stratification and provides a clinically actionable tool for visceral adiposity screening.
Study context
- Population
- US National Health and Nutrition Examination Survey (NHANES) participants with DXA-derived VAT volume
- Exposure
- High VAT vs low VAT; tri-biomarker model vs DXA-based VAT
- Outcome
- CVD prevalence by VAT threshold (327.0 cm³)
Methodological detailsNHANES data, DXA-derived VAT volume, multivariable regression, LASSO regularization, ROC analyses
- NHANES data
- DXA-derived VAT volume
- Multivariable regression
- LASSO regularization
- ROC analyses
Main finding
As reported in the abstract
CVD prevalence
2.41% vs. 1.12%
P = 0.016
- VAT volume threshold stratifying CVD risk
- 327.0 cm³
Observational data: associations, not effects.
Further findings
Males vs Females
Sex-specific VAT risk thresholds · higher threshold in males
P for interaction = 0.029
Tri-biomarker model vs DXA-based VAT
Prediction of CVD: tri-biomarker model (waist circumference + TG + apolipoprotein B) vs DXA-based VAT · near-equivalent accuracy
P = 0.66
AUC Tri-biomarker model 0.821 · DXA-based VAT 0.819
Sensitivity
Ethnicity-specific VAT risk thresholds
- Abrupt risk escalation above thresholds in non-Hispanic White and multiracial participants (399.5 and 270.0 cm³)
- aOR = 1.08-1.12, p < 0.001
- No threshold effect in non-Hispanic Black and Hispanic individuals
Original publication
Composed by AI from the published abstract and checked against it. How Briefs are made →