The purpose of this study was to compare the predictive ability of waist-to-height ratio (WHtR) compared with other anthropometric indicators in the incidence of metabolic syndrome (MetS) and to propose cutoff values for its early detection in nursing practice. A longitudinal cohort study was conducted on a sample of 630 workers (137 exposed and 493 nonexposed), free of MetS at baseline. WHtR was compared with body mass index (BMI), waist circumference (WC), and the percentage of body fat (BF%). In the Cox regression, the adjusted values of hazard ratio (HR) were 5.4 (confidence interval [CI] = [3.1, 9.5]) for WHtR and 7.4 (CI = [3.7, 14.9]) for components of MetS. WHtR obtained the largest area under the curve 0.82 (CI = [0.76, 0.88]), and with a cutoff value of 0.54, values were obtained for sensitivity (70%) and specificity (77%). WHtR was the best predictor of incidence of MetS, with a cutoff value of 0.54. Nursing can improve the early detection of MetS by measuring WHtR.
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