BMI and an Anthropometry-Based Estimate of Fat Mass Percentage Are Both Valid Discriminators of Cardiometabolic Risk: A Comparison with DXA and Bioimpedance

Objective. To determine whether categories of obesity based on BMI and an anthropometry-based estimate of fat mass percentage (FM% equation) have similar discriminative ability for markers of cardiometabolic risk as measurements of FM% by dual-energy X-ray absorptiometry (DXA) or bioimpedance analys...

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Main Authors: Benno Krachler, Eszter Völgyi, Kai Savonen, Frances A. Tylavsky, Markku Alén, Sulin Cheng
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Obesity
Online Access:http://dx.doi.org/10.1155/2013/862514
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author Benno Krachler
Eszter Völgyi
Kai Savonen
Frances A. Tylavsky
Markku Alén
Sulin Cheng
author_facet Benno Krachler
Eszter Völgyi
Kai Savonen
Frances A. Tylavsky
Markku Alén
Sulin Cheng
author_sort Benno Krachler
collection DOAJ
description Objective. To determine whether categories of obesity based on BMI and an anthropometry-based estimate of fat mass percentage (FM% equation) have similar discriminative ability for markers of cardiometabolic risk as measurements of FM% by dual-energy X-ray absorptiometry (DXA) or bioimpedance analysis (BIA). Design and Methods. A study of 40–79-year-old male (n=205) and female (n=388) Finns. Weight, height, blood pressure, triacylglycerols, HDL cholesterol, and fasting blood glucose were measured. Body composition was assessed by DXA and BIA and a FM%-equation. Results. For grade 1 hypertension, dyslipidaemia, and impaired fasting glucose >6.1 mmol/L, the categories of obesity as defined by BMI and the FM% equation had 1.9% to 3.7% (P<0.01) higher discriminative power compared to DXA. For grade 2 hypertension the FM% equation discriminated 1.2% (P=0.05) lower than DXA and 2.8% (P<0.01) lower than BIA. Receiver operation characteristics confirmed BIA as best predictor of grade 2 hypertension and the FM% equation as best predictor of grade 1 hypertension. All other differences in area under curve were small (≤0.04) and 95% confidence intervals included 0. Conclusions. Both BMI and FM% equations may predict cardiometabolic risk with similar discriminative ability as FM% measured by DXA or BIA.
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spelling doaj-art-6846396bfb1b431fa3a2a489b0cf43aa2025-08-20T02:06:40ZengWileyJournal of Obesity2090-07082090-07162013-01-01201310.1155/2013/862514862514BMI and an Anthropometry-Based Estimate of Fat Mass Percentage Are Both Valid Discriminators of Cardiometabolic Risk: A Comparison with DXA and BioimpedanceBenno Krachler0Eszter Völgyi1Kai Savonen2Frances A. Tylavsky3Markku Alén4Sulin Cheng5Department of Health Sciences, University of Jyväskylä, P.O. BOX 35 (L), 40014 Jyväskylä, FinlandDepartment of Health Sciences, University of Jyväskylä, P.O. BOX 35 (L), 40014 Jyväskylä, FinlandKuopio Research Institute of Exercise Medicine, Haapaniementie 16, 70100 Kuopio, FinlandDepartment of Preventive Medicine, University of TN Health Science Center, Memphis, Tennessee 38163, USADepartment of Medical Rehabilitation, Oulu University Hospital and Institute of Health Sciences, University of Oulu, 90029 Oulu, FinlandDepartment of Health Sciences, University of Jyväskylä, P.O. BOX 35 (L), 40014 Jyväskylä, FinlandObjective. To determine whether categories of obesity based on BMI and an anthropometry-based estimate of fat mass percentage (FM% equation) have similar discriminative ability for markers of cardiometabolic risk as measurements of FM% by dual-energy X-ray absorptiometry (DXA) or bioimpedance analysis (BIA). Design and Methods. A study of 40–79-year-old male (n=205) and female (n=388) Finns. Weight, height, blood pressure, triacylglycerols, HDL cholesterol, and fasting blood glucose were measured. Body composition was assessed by DXA and BIA and a FM%-equation. Results. For grade 1 hypertension, dyslipidaemia, and impaired fasting glucose >6.1 mmol/L, the categories of obesity as defined by BMI and the FM% equation had 1.9% to 3.7% (P<0.01) higher discriminative power compared to DXA. For grade 2 hypertension the FM% equation discriminated 1.2% (P=0.05) lower than DXA and 2.8% (P<0.01) lower than BIA. Receiver operation characteristics confirmed BIA as best predictor of grade 2 hypertension and the FM% equation as best predictor of grade 1 hypertension. All other differences in area under curve were small (≤0.04) and 95% confidence intervals included 0. Conclusions. Both BMI and FM% equations may predict cardiometabolic risk with similar discriminative ability as FM% measured by DXA or BIA.http://dx.doi.org/10.1155/2013/862514
spellingShingle Benno Krachler
Eszter Völgyi
Kai Savonen
Frances A. Tylavsky
Markku Alén
Sulin Cheng
BMI and an Anthropometry-Based Estimate of Fat Mass Percentage Are Both Valid Discriminators of Cardiometabolic Risk: A Comparison with DXA and Bioimpedance
Journal of Obesity
title BMI and an Anthropometry-Based Estimate of Fat Mass Percentage Are Both Valid Discriminators of Cardiometabolic Risk: A Comparison with DXA and Bioimpedance
title_full BMI and an Anthropometry-Based Estimate of Fat Mass Percentage Are Both Valid Discriminators of Cardiometabolic Risk: A Comparison with DXA and Bioimpedance
title_fullStr BMI and an Anthropometry-Based Estimate of Fat Mass Percentage Are Both Valid Discriminators of Cardiometabolic Risk: A Comparison with DXA and Bioimpedance
title_full_unstemmed BMI and an Anthropometry-Based Estimate of Fat Mass Percentage Are Both Valid Discriminators of Cardiometabolic Risk: A Comparison with DXA and Bioimpedance
title_short BMI and an Anthropometry-Based Estimate of Fat Mass Percentage Are Both Valid Discriminators of Cardiometabolic Risk: A Comparison with DXA and Bioimpedance
title_sort bmi and an anthropometry based estimate of fat mass percentage are both valid discriminators of cardiometabolic risk a comparison with dxa and bioimpedance
url http://dx.doi.org/10.1155/2013/862514
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