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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, 1966- (author)
Umeå universitet,Yrkes- och miljömedicin,Department of Health Sciences, University of Jyväskylä, Jyväskylä, Finland; Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
Völgyi, Eszter (author)
Department of Health Sciences, University of Jyväskylä, Jyväskylä, Finland; Department of Preventive Medicine, University of TN Health Science Center, Memphis, United States
Savonen, Kai (author)
Kuopio Research Institute of Exercise Medicine,Kuopio, Finland; Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
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Tylavsky, Frances A. (author)
Department of Preventive Medicine, University of TN Health Science Center, Memphis, United States
Alén, Markku (author)
Department of Medical Rehabilitation, Oulu University Hospital, University of Oulu, Oulu, Finland
Cheng, Sulin (author)
Department of Health Sciences, University of Jyväskylä, Jyväskylä, Finland; School of Kinesiology, Shanghai University of Sport, Shanghai, China
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 (creator_code:org_t)
Hindawi Publishing Corporation, 2013
2013
English.
In: Journal of Obesity. - : Hindawi Publishing Corporation. - 2090-0708 .- 2090-0716. ; 2013
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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. 

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Näringslära (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Nutrition and Dietetics (hsv//eng)

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Krachler, Benno, ...
Völgyi, Eszter
Savonen, Kai
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Alén, Markku
Cheng, Sulin
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MEDICAL AND HEAL ...
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