Comparison of anthropometric and body composition measures as predictors of components of the metabolic syndrome in a clinical setting.

Mooney, Stephen J.; Baecker, Aileen; Rundle, Andrew G.

doi:10.1016/j.orcp.2012.10.004

Cited by 54Body Composition Measurement TechniquesDiabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, Diet

Comparison of anthropometric and body composition measures as predictors of components of the metabolic syndrome in a clinical setting.

Mooney, Stephen J., Baecker, Aileen, Rundle, Andrew G.·2013·Obesity Research & Clinical Practice

DOI 10.1016/j.orcp.2012.10.004

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Abstract

Problem The use of body mass index (BMI) to assess obesity and health risks has been criticized in scientific and lay publications because of its failure to account for body shape and inability to distinguish fat mass from lean mass. We sought to determine whether other anthropometric measures (waist circumference (WC), waist-to-height ratio (WtH), percent body fat (%BF), fat mass index (FMI), or fat-free mass index (FFMI)) were consistently better predictors of components of the metabolic syndrome than BMI is.Methods Cross-sectional measurements of height, weight, waist circumference and percent body fat were obtained from 12,294 adults who took part in annual physical exams provided by EHE International, Inc. Blood pressure was measured during the exam and HDL, LDL, and fasting glucose were measured from blood samples. Pearson correlations, linear regression, and adjusted Receiver Operator Characteristic (ROC) curves were used to relate each anthropometric measure to each metabolic risk factor.Results None of the measures was consistently the strongest predictor. BMI was the strongest predictor of blood pressure, measures related to central adiposity (WC and WtH) performed better at predicting fasting glucose, and all measures were roughly comparable at predicting cholesterol levels. In all, differences in areas under ROC curves were 0.03 or less for all measure/outcome pairs that performed better than BMI.Conclusion Body mass index is an adequate measure of adiposity for clinical purposes. In the context of lay press critiques of BMI and recommendations for alternative body-size measures, these data support clinicians making recommendations to patients based on BMI measurements.

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Fat localization is a strong predictor of type 2 diabetes mellitus, non-alcoholic fatty liver disease, and cardiovascular disease.
“Fat localization is a strong predictor of T2DM, NAFLD, and CVD (Mooney et al., 2013).”
From Effect of Exercise Training on Fat Loss—Energetic Perspectives and the Role of Improved Adipose Tissue Function and Body Fat Distribution (2021) · cites this paper as Mooney et al., 2013

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Authors: Mooney, S. J., Baecker, A., & Rundle, A. G.
Affiliations: Columbia University (US)
Corresponding author: Rundle, Andrew G.
ORCID: Mooney, Stephen J.
Baecker, Aileen
Rundle, Andrew G.
Venue: Obesity Research & Clinical Practice
Publisher: Elsevier BV
Published: 2013-01
Volume: 7
Issue: 1
Pages: e55-e66
ISSN: 1871-403X (ISSN-L)
DOI: 10.1016/j.orcp.2012.10.004
OpenAlex: W2091510303
Cited by: 54
References: 55
Citations by year: 2026: 1 · 2025: 1 · 2024: 4 · 2023: 3 · 2022: 4 · 2021: 6 · 2020: 7 · 2019: 6 · 2018: 5 · 2017: 3 · 2016: 3 · 2015: 5 · 2014: 3 · 2013: 2 · 2012: 1
FWCI: 2.36
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Obesity Research & Clinical Practice (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords: body mass index, anthropometric measures, body composition, metabolic syndrome, waist circumference, waist-to-height ratio, body fat percentage, fat mass index, fat-free mass index, abdominal obesity, fasting blood glucose, blood pressure, cholesterol, obesity assessment
MeSH terms: Adipose Tissue, Adult, Anthropometry, Blood Glucose, Blood Pressure, Body Composition, Cholesterol, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Obesity, Risk Factors, ROC Curve, Body Mass Index, Metabolic Syndrome, Waist Circumference, Young Adult, Obesity, Abdominal

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Comparison of anthropometric and body composition measures as predictors of components of the metabolic syndrome in a clinical setting.

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