Bellido Diego, López de la Torre Martín, Carreira José, de Luis Daniel, Bellido Virginia, Soto Alfonso, Luengo Luis M, Hernández Antonio, Vidal Josep, Becerra Antonio, Ballesteros María
Endocrinología y Nutrición, Complexo Hospitalario Universitario de Ferrol, Chuf, SERGAS, Ferrol, A Coruña, España.
Clin Investig Arterioscler. 2013 Jul-Aug;25(3):105-9. doi: 10.1016/j.arteri.2013.05.007. Epub 2013 Aug 1.
The metabolic syndrome (MS) carries an increased risk of cardiovascular disease and diabetes mellitus. Insulin resistance is probably the mechanism underlying the changes detected in lipid and carbohydrate metabolism in these patients, who have, as a common anthropometric feature, a predominantly increased abdominal fat distribution.
A total of 3316 patients were studied, of whom 63.40% were female and 36.60 male, with a mean age of 42.36±14.63 years, and a body mass index (BMI) of 32.76±6.81kg/m(2). Weight, height and waist circumference (CC) were measured using standard techniques. The waist/height (ICA) was calculated using two indicators, expressed as waist in cm divided by height in m(2), and as waist divided by height, both in cm. The prevalence of metabolic syndrome in the sample was 33.70%. In order to assess the predictive ability of BMI, ICA and CC to detect the existence of MS, receiver operating curves (ROC) were constructed and the areas under the curve (AUC) calculated for each anthropometric parameter.
An AUC of 0.724 (95%CI: 0.706 to 0.742), P<.001, was obtained for CC, 0.709 (95%CI: 0.691 to 0.728), P<.001 for ICA with height in m(2), and 0.729 (95%CI: 0.711 to 0.747), P<.001 for ICA with height in cm, and for the BMI it was 0.680 (95%CI 0.661-0.699), P<.001.
Anthropometric indices that assess abdominal fat distribution have a better predictive capacity for detecting MS, compared to total adiposity indicators such as BMI.
代谢综合征（MS）会增加心血管疾病和糖尿病的风险。胰岛素抵抗可能是这些患者脂质和碳水化合物代谢变化的潜在机制，这些患者的一个常见人体测量特征是腹部脂肪分布主要增加。
共研究了3316名患者，其中63.40%为女性，36.60%为男性，平均年龄为42.36±14.63岁，体重指数（BMI）为32.76±6.81kg/m²。使用标准技术测量体重、身高和腰围（WC）。腰高比（WHtR）使用两个指标计算，一个表示为以厘米为单位的腰围除以以米²为单位的身高，另一个表示为以厘米为单位的腰围除以以厘米为单位的身高。样本中代谢综合征的患病率为33.70%。为了评估BMI、WHtR和WC检测MS存在的预测能力，构建了受试者工作曲线（ROC），并计算了每个人体测量参数的曲线下面积（AUC）。
WC的AUC为0.724（95%CI：0.706至0.742），P<0.001；以米²为单位身高的WHtR的AUC为0.709（95%CI：0.691至0.728），P<0.001；以厘米为单位身高的WHtR的AUC为0.729（95%CI：0.711至0.747），P<0.001；BMI的AUC为0.680（95%CI 0.661 - 0.699），P<0.001。
与BMI等总体肥胖指标相比，评估腹部脂肪分布的人体测量指数在检测MS方面具有更好的预测能力。
