Alkhatib Buthaina, Orabi Aliaa, Agraib Lana M, Al-Shami Islam
Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan.
Department of Nutrition and Food Technology, Faculty of Agriculture, The University of Jordan, Amman, Jordan.
J Egypt Public Health Assoc. 2024 Dec 23;99(1):34. doi: 10.1186/s42506-024-00181-9.
Metabolic syndrome (MetS) is an important public health issue that has been lately linked as a growing concern worldwide.
To find out which anthropometric and body composition indices can prognosticate MetS in Jordanian adult females.
A sample of 656 Jordanian adult females was recruited (January-March 2024) in the middle of Jordan. Weight, height, waist and hip circumference, lipid profile (triglycerides and high-density lipoprotein), fasting plasma glucose, and blood pressure were measured. Fat mass index (FMI), body mass index (BMI), fat-to-muscle ratio, and waist-to-hip ratio (WHR) were calculated. The presence or absence of MetS was the outcome of interest. Receiver operating characteristic (ROC) analyses were used to examine the predictive accuracy of the indices, and the area under the curve (AUC) was measured.
40.6% had MetS, and their mean age was 45.5 years. 90.2% of the participants with MetS were obese based on body fat percentage. The MetS participants had significantly higher means of all the anthropometric indices except the fat-to-muscle ratio. None of the MetS participants were underweight, and 70.8% and 73.8% were obese based on BMI and WHR, respectively (p < 0.001). The highest proportion of the MetS participants (35.5%) was within the Q4 of the FMI compared to those without MetS (p<0.001). The discrimination ability for all indices was almost equal in predicting the existence of MetS (fair prediction power; AUC = 0.66-0.72), except for the fat-to-muscle ratio, which had poor prediction power.
Fat mass %, muscle mass %, FMI, BMI, and WHR could be used as predictors of MetS in Jordanian females, while the fat-to-muscle ratio was not. We suggested that more extensive sample size studies from both genders and different age categories are necessary to develop a superior predictor for MetS in Jordan.
代谢综合征（MetS）是一个重要的公共卫生问题，近来在全球范围内受到越来越多的关注。
找出哪些人体测量和身体成分指标可以预测约旦成年女性的代谢综合征。
2024年1月至3月在约旦中部招募了656名约旦成年女性作为样本。测量体重、身高、腰围和臀围、血脂谱（甘油三酯和高密度脂蛋白）、空腹血糖和血压。计算脂肪质量指数（FMI）、体重指数（BMI）、脂肪与肌肉比率和腰臀比（WHR）。代谢综合征的存在与否是感兴趣的结果。采用受试者工作特征（ROC）分析来检验指标的预测准确性，并测量曲线下面积（AUC）。
40.6%的人患有代谢综合征，她们的平均年龄为45.5岁。根据体脂百分比，90.2%患有代谢综合征的参与者肥胖。除脂肪与肌肉比率外，代谢综合征参与者的所有人体测量指标均值均显著更高。没有代谢综合征参与者体重过轻，根据BMI和WHR，分别有70.8%和73.8%的人肥胖（p<0.001）。与没有代谢综合征的参与者相比，代谢综合征参与者中比例最高的（35.5%）处于FMI的Q4范围内（p<0.001）。除脂肪与肌肉比率预测能力较差外，所有指标在预测代谢综合征存在方面的辨别能力几乎相同（预测能力一般；AUC=0.66 - 0.72）。
脂肪质量百分比、肌肉质量百分比、FMI、BMI和WHR可作为约旦女性代谢综合征的预测指标，而脂肪与肌肉比率则不行。我们建议有必要对不同性别和不同年龄组进行更广泛的样本量研究，以开发出更好的约旦代谢综合征预测指标。
