BMI and an anthropometry-based estimate of fat mass percentage are both valid discriminators of cardiometabolic risk

A comparison with DXA and bioimpedance

Benno Krachler, Eszter Völgyi, Kai Savonen, Frances Tylavsky, Markku Alén, Sulin Cheng

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Article number862514
JournalJournal of Obesity
Volume2013
DOIs
StatePublished - Jan 1 2013

Fingerprint

Anthropometry
Photon Absorptiometry
Fats
Hypertension
Aptitude
Fasting
Obesity
Dyslipidemias
Body Composition
HDL Cholesterol
Area Under Curve
Blood Glucose
Triglycerides
Confidence Intervals
Blood Pressure
Weights and Measures
Glucose

All Science Journal Classification (ASJC) codes

  • Endocrinology, Diabetes and Metabolism

Cite this

BMI and an anthropometry-based estimate of fat mass percentage are both valid discriminators of cardiometabolic risk : A comparison with DXA and bioimpedance. / Krachler, Benno; Völgyi, Eszter; Savonen, Kai; Tylavsky, Frances; Alén, Markku; Cheng, Sulin.

In: Journal of Obesity, Vol. 2013, 862514, 01.01.2013.

Research output: Contribution to journalArticle

@article{8ba4ea28f3e84102a914adc86bd0bc44,
title = "BMI and an anthropometry-based estimate of fat mass percentage are both valid discriminators of cardiometabolic risk: A comparison with DXA and bioimpedance",
abstract = "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.",
author = "Benno Krachler and Eszter V{\"o}lgyi and Kai Savonen and Frances Tylavsky and Markku Al{\'e}n and Sulin Cheng",
year = "2013",
month = "1",
day = "1",
doi = "10.1155/2013/862514",
language = "English (US)",
volume = "2013",
journal = "Journal of Obesity",
issn = "2090-0708",
publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - BMI and an anthropometry-based estimate of fat mass percentage are both valid discriminators of cardiometabolic risk

T2 - A comparison with DXA and bioimpedance

AU - Krachler, Benno

AU - Völgyi, Eszter

AU - Savonen, Kai

AU - Tylavsky, Frances

AU - Alén, Markku

AU - Cheng, Sulin

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84896124612&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84896124612&partnerID=8YFLogxK

U2 - 10.1155/2013/862514

DO - 10.1155/2013/862514

M3 - Article

VL - 2013

JO - Journal of Obesity

JF - Journal of Obesity

SN - 2090-0708

M1 - 862514

ER -