Diagnostic Performance of BMI and Waist Circumference in Detecting Excess Adiposity
John C. Lin, Clara E. Tandar, Simar S. Bajaj, Fatima C. Stanford

TL;DR
The study compares BMI and waist circumference in detecting excess body fat, finding that waist measures are more sensitive but less specific than BMI.
Contribution
The study evaluates the Lancet Commission criteria alongside BMI and waist circumference for detecting adiposity using DEXA, revealing their comparative diagnostic performance.
Findings
Waist-based measures showed higher sensitivity but lower specificity than BMI for detecting excess adiposity.
The Lancet Commission criteria performed similarly to existing BMI and waist thresholds.
Race-specific BMI thresholds did not improve diagnostic accuracy.
Abstract
This study compared the diagnostic performance of BMI, waist circumference (WC), and Lancet Commission (LC) criteria for assessing excess adiposity measured by dual‐energy X‐ray absorptiometry (DEXA) in US adults. Using 2011–2018 NHANES data, we included 10,747 adults aged 20–59 years with relevant data. We evaluated the diagnostic performance (sensitivity, specificity, positive and negative predictive values [PPV, NPV], area under the curve [AUC]) of BMI thresholds, waist‐based measures, and LC criteria for excess adiposity, as defined by DEXA. The weighted prevalence of DEXA‐defined excess adiposity was 36.4%. CDC BMI thresholds demonstrated 74.6% sensitivity and 82.2% specificity (PPV, 67.0%; NPV, 87.0%). Waist‐based measures showed higher sensitivity and lower specificity than BMI; NHLBI WC thresholds produced 88.5% sensitivity and 66.7% specificity. LC criteria performed…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNutrition and Health in Aging · Body Composition Measurement Techniques · Diabetes, Cardiovascular Risks, and Lipoproteins
