Romero-Saldaña Manuel, Fuentes-Jiménez Francisco J, Vaquero-Abellán Manuel, Álvarez-Fernández Carlos, Aguilera-López María Dolores, Molina-Recio Guillermo
1 Department of Occupational Safety and Health, Córdoba, Spain.
2 University of Córdoba, Spain.
Clin Nurs Res. 2019 Jul;28(6):676-691. doi: 10.1177/1054773817740533. Epub 2017 Nov 8.
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.
本研究的目的是比较腰高比（WHtR）与其他人体测量指标在代谢综合征（MetS）发病率方面的预测能力，并提出在护理实践中早期检测MetS的WHtR临界值。对630名基线时无MetS的工人样本（137名暴露者和493名非暴露者）进行了纵向队列研究。将WHtR与体重指数（BMI）、腰围（WC）和体脂百分比（BF%）进行了比较。在Cox回归中，WHtR的风险比（HR）调整值为5.4（置信区间[CI]=[3.1, 9.5]），MetS各组分的HR调整值为7.4（CI=[3.7, 14.9]）。WHtR获得的曲线下面积最大，为0.82（CI=[0.76, 0.88]），临界值为0.54时，灵敏度为70%，特异度为77%。WHtR是MetS发病率的最佳预测指标，临界值为0.54。护理人员可通过测量WHtR来提高MetS的早期检测率。
