Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults

Although body fat percent (BF%) may be used for screening metabolic risk factors, its accuracy compared to BMI and waist circumference is unknown in a Mexican population. We compared the classification accuracy of BF%, BMI and WC for the detection of metabolic risk factors in a sample of Mexican adu...

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Bibliographic Details
Published in:BMC public health 2014-04, Vol.14 (1), p.341-341, Article 341
Main Authors: Macias, Nayeli, Quezada, Amado D, Flores, Mario, Valencia, Mauro E, Denova-Gutiérrez, Edgar, Quiterio-Trenado, Manuel, Gallegos-Carrillo, Katia, Barquera, Simon, Salmerón, Jorge
Format: Article
Language:English
Subjects:
Adipose Tissue - anatomy & histology
Adiposity
Adult
Anthropometry
Body Composition
Body Mass Index
Cross-Sectional Studies
Female
Health aspects
Humans
Hypertension - complications
Hypertriglyceridemia - complications
Male
Medical research
Medicine, Experimental
Metabolic Syndrome
Mexico
Middle Aged
Obesity - epidemiology
Physiological aspects
Risk Factors
Sensitivity and Specificity
Statistics
Waist Circumference
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Summary:Although body fat percent (BF%) may be used for screening metabolic risk factors, its accuracy compared to BMI and waist circumference is unknown in a Mexican population. We compared the classification accuracy of BF%, BMI and WC for the detection of metabolic risk factors in a sample of Mexican adults; optimized cutoffs as well as sensitivity and specificity at commonly used BF% and BMI international cutoffs were estimated. We also estimated conditional BF% means at BMI international cutoffs. We performed a cross-sectional analysis of data on body composition, anthropometry and metabolic risk factors(high glucose, high triglycerides, low HDL cholesterol and hypertension) from 5,100 Mexican men and women. The association between BMI, WC and BF%was evaluated with linear regression models. The BF%, BMI and WC optimal cutoffs for the detection of metabolic risk factors were selected at the point where sensitivity was closest to specificity. Areas under the ROC Curve (AUC) were compared among classifiers using a non-parametric method. After adjustment for WC, a 1% increase in BMI was associated with a BF% rise of 0.05 percentage points (p.p.) in men (P
ISSN:1471-2458
1471-2458
DOI:10.1186/1471-2458-14-341