Centro de Estudios para la Medición de la Actividad Física CEMA, Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá DC 111221, Colombia.
Grupo CORPS, Universidad de Boyacá, Facultad de Ciencias de la Salud, Boyacá 150003, Colombia.
Nutrients. 2017 Sep 13;9(9):1009. doi: 10.3390/nu9091009.
High body fat is related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of this study was to explore thresholds of body fat percentage (BF%) and fat mass index (FMI) for the prediction of MetS among Colombian University students. A cross-sectional study was conducted on 1687 volunteers (63.4% women, mean age = 20.6 years). Weight, waist circumference, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis (BIA) and FMI was calculated. MetS was defined as including more than or equal to three of the metabolic abnormalities according to the IDF definition. Receiver operating curve (ROC) analysis was used to determine optimal cut-off points for BF% and FMI in relation to the area under the curve (AUC), sensitivity, and specificity in both sexes. The overall prevalence of MetS was found to be 7.7%, higher in men than women (11.1% vs. 5.3%; < 0.001). BF% and FMI were positively correlated to MetS components ( < 0.05). ROC analysis indicated that BF% and FMI can be used with moderate accuracy to identify MetS in university-aged students. BF% and FMI thresholds of 25.55% and 6.97 kg/m² in men, and 38.95% and 11.86 kg/m² in women, were found to be indicative of high MetS risk. Based on the IDF criteria, both indexes' thresholds seem to be good tools to identify university students with unfavorable metabolic profiles.
体脂过高与所有种族的代谢综合征（MetS）有关。基于国际糖尿病联合会（IDF）的 MetS 定义，本研究旨在探索体脂百分比（BF%）和脂肪质量指数（FMI）的阈值，以预测哥伦比亚大学生中的 MetS。对 1687 名志愿者（63.4%为女性，平均年龄为 20.6 岁）进行了横断面研究。测量体重、腰围、血清脂质指数、血压和空腹血糖。使用生物电阻抗分析（BIA）测量身体成分，并计算 FMI。MetS 根据 IDF 定义定义为包括三种或三种以上代谢异常。使用受试者工作特征曲线（ROC）分析确定 BF%和 FMI 的最佳截断点，以评估 AUC、敏感性和特异性。发现 MetS 的总体患病率为 7.7%，男性高于女性（11.1%比 5.3%；<0.001）。BF%和 FMI 与 MetS 成分呈正相关（<0.05）。ROC 分析表明，BF%和 FMI 可以中等准确度识别大学生中的 MetS。在男性中，BF%和 FMI 的阈值为 25.55%和 6.97 kg/m²，在女性中，BF%和 FMI 的阈值为 38.95%和 11.86 kg/m²，提示 MetS 风险较高。根据 IDF 标准，这两个指标的阈值似乎都是识别代谢不良的大学生的良好工具。
