Introduction. The purpose of this study was to analyze the influence of metabolic phenotypes during the construction of ROC\ncurves for waist circumference (WC) cutpoint selection. Materials and Methods. A total of 1,902 subjects of both genders were\nselected from theMaracaibo CityMetabolic Syndrome Prevalence Study database. Two-Step Cluster Analysis (TSCA) was applied\nto select metabolically healthy and sick men and women. ROC curves were constructed to determineWC cutoff points by gender.\nResults.Through TSCA, metabolic phenotype predictive variables were selected: HOMA2-IR and HOMA2-????cell for women and\nHOMA2-IR, HOMA2-????cell, and TAG for men. Subjects were classified as healthy normal weight, metabolically obese normal\nweight, healthy and metabolically disturbed overweight, and healthy and metabolically disturbed obese. FinalWC cutpoints were\n91.50 cm for women (93.4% sensitivity, 93.7% specificity) and 98.15 cm for men (96% sensitivity, 99.5% specificity). Conclusions.\nTSCA in the selection of the groups used in ROC curves construction proved to be an important tool, aiding in the detection\nof MOWN and MHO which cannot be identified with WC alone. The resulting WC cutpoints were <91.00cm for women and\n<98.00 cm for men. Furthermore, anthropometry is insufficient to determine healthiness, and, biochemical analysis is needed to\nproperly filter subjects during classification.
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