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      Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3-19 y.

      The American Journal of Clinical Nutrition
      Abdomen, Absorptiometry, Photon, Adipose Tissue, Adolescent, Adult, Area Under Curve, Body Composition, Body Constitution, Child, Child Welfare, Child, Preschool, Female, Humans, Male, Obesity, prevention & control, ROC Curve, Sensitivity and Specificity

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          Abstract

          A central fat pattern has adverse health implications in both children and adults. Because adiposity tracks from childhood into adulthood, the ability of simple anthropometric techniques to correctly measure truncal adiposity in childhood needs to be assessed. We sought to assess the validity of waist circumference, waist-to-hip ratio (WHR), and the conicity index as indicators of trunk fat mass in children and adolescents. Trunk fat mass (kg) was measured with dual-energy X-ray absorptiometry in 278 girls and 302 boys aged 3-19 y. Receiver operating characteristic (ROC) curves and areas under the curves (AUCs) for the ROCs were calculated to compare the relative abilities of the anthropometric measures to correctly identify children with high trunk fat mass (z score for our study population of > or =1). The 80th percentile for waist circumference correctly identified 89% of girls and 87% of boys with high trunk fat mass (sensitivity) and 94% of girls and 92% of boys with low trunk fat mass (specificity). Waist circumference performed significantly better as an index of trunk fat mass than did WHR or the conicity index, as shown by the AUCs in girls and boys, respectively: waist circumference AUCs = 0.97 and 0.97, conicity index AUCs = 0.80 and 0.81, and WHR AUCs = 0.73 and 0.71. Our cutoffs for high trunk fat mass and high waist circumference are provided for both sexes for each year of age. Waist circumference provides a simple yet effective measure of truncal adiposity in children and adolescents.

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          The meaning and use of the area under a receiver operating characteristic (ROC) curve.

          A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non-diseased subject. Moreover, this probability of a correct ranking is the same quantity that is estimated by the already well-studied nonparametric Wilcoxon statistic. These two relationships are exploited to (a) provide rapid closed-form expressions for the approximate magnitude of the sampling variability, i.e., standard error that one uses to accompany the area under a smoothed ROC curve, (b) guide in determining the size of the sample required to provide a sufficiently reliable estimate of this area, and (c) determine how large sample sizes should be to ensure that one can statistically detect differences in the accuracy of diagnostic techniques.
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            Sex- and menopause-associated changes in body-fat distribution.

            We investigated sex- and menopause-related differences in body composition and regional fat distribution, using dual-energy X-ray absorptiometry (DEXA) in nonobese healthy volunteers. Men (n = 103) had a 50% greater lean tissue mass (P less than 0.001) but a 13% lower fat mass (P less than 0.001) than the women (n = 131). Postmenopausal (n = 70) women had a 20% greater fat mass (P less than 0.001) than premenopausal (n = 61) women. The proportion of android (upper body) fat was greatest in men (48.6%, P less than 0.001) but was significantly lower in premenopausal (38.3%) than in postmenopausal (42.1%) women (P less than 0.001). The reverse was found for gynoid (lower body) fat (P less than 0.001). DEXA measurements thus clearly demonstrated that sex differences in total fat mass were opposite those of android fat, and that marked menopausal changes in fat mass and its distribution existed. Body mass indices did not demonstrate that men had less total fat than women whereas postmenopausal women had more total fat than did premenopausal women. Our findings suggest that DEXA measurements of fat distribution may be useful for studies related to obesity-associated disease risk.
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              The predictive value of childhood body mass index values for overweight at age 35 y.

              Larger body mass index values (BMI in kg/m2) are associated with increased morbidity and mortality in adulthood and there are significant correlations between BMI values in childhood and in adulthood. The present study addresses the predictive value of childhood BMI for overweight at 35 +/- 5 y, defined as BMI > 28 for men and > 26 for women. Analyses of data for 555 white children indicated that overweight at 35 y can be predicted from BMI at younger ages. The prediction is excellent at age 18 y, good at 13 y, but only moderate at ages younger than 13 y. For 18-y-olds with a BMI value exceeding the 60th percentile, the odds of overweight at 35 y are 34% for men and 37% for women. A clinically applicable method is provided to assign an overweight child to a group with a known probability of high BMI values in adulthood.
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