A waist-to-height ratio of 0.54 is a good predictor of metabolic syndrome in 16-year-old male and female adolescents
A waist-to-height ratio of 0.54 is a good predictor of metabolic syndrome in 16-year-old male and female adolescents
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DOI：
10.1038/s41390-018-0257-8
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发表时间：
2019-02-01
影响因子：
3.6
通讯作者：
Burrows, Raquel
中科院分区：
文献类型：
--
作者：
Vasque, Fabian;Correa-Burrows, Paulina;Burrows, Raquel
背景技术背景：我们的目的是确定的敏感性和特异性，选择人体测量指标作为青少年心血管疾病的风险predictors in adolescents.METHODS：横断面研究678青少年（16.8 y +/- 0.3）从婴儿期队列。测量体重、身高、腰围和臀围。计算体重指数（BMI）、腰臀比（WHR）和腰高比（WHtR）。MetS被诊断为IDF/AHA/NHLBI。结果：在男性中，WHtR（0.96）的ROC曲线下面积最大，其次是WC（0.95）和BMI（0.93）。在女性中，BMI（0.84）具有最大的ROC曲线下面积（0.84），其次是WHtR（0.83）和WC（0.83）。在两种性别中，MetS诊断的最佳WHtR截止值为0.54。男性26.9和女性26.3的BMI是诊断MetS的最佳截止值。最后，男性和女性的WC值分别为92和81.6 cm，是MetS diagnosis.CONCLUSIONS：在两种性别中，WHtR值为0.54是MetS的良好预测因子。在男性和女性中，诊断Mets的BMI最佳截止值低于诊断肥胖的值。
BACKGROUND: We aimed to determine the sensitivity and specificity of selected anthropometric indicators as predictors of cardiovascular risk in adolescents.METHODS: Cross-sectional study in 678 adolescents (16.8 y +/- 0.3) from an infancy cohort. Weight, height, waist circumference (WC), and hip circumference were measured. Body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were estimated. MetS was diagnosed with IDF/AHA/NHLBI. Optimal cutoffs of BMI, WC, WHR, and WHtR for diagnosing MetS were determined using ROC analysis.RESULTS: In males, WHtR (0.96) had the greatest area under the ROC curve, followed by WC (0.95) and BMI (0.93). In females, BMI (0.84) had the greatest area under the ROC curve (0.84), followed by WHtR (0.83) and WC (0.83). In both sexes, the optimal WHtR cutoff for MetS diagnosis was 0.54. A BMI of 26.9 in males and 26.3 in females were the optimal cutoffs for diagnosing MetS. Finally, WC values of 92 and 81.6 cm in males and females, respectively, were the optimal cutoffs for MetS diagnosis.CONCLUSIONS: In both sexes, a WHtR value of 0.54 was a good predictor of MetS. In males and females, the optimal cutoff of BMI for Mets diagnosis was below the values for diagnosing obesity.