基于身体组成指数的代谢综合征预测
Buthaina Alkhatib1, Aliaa Orabi2, Lana M Agraib3,4
1Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan. bkhatib@hu.edu.jo.
The Journal of the Egyptian Public Health Association
|December 22, 2024
概括
代谢综合征 (MetS) 是一个日益严重的全球健康问题. 在约旦妇女中,脂肪质量百分比,体重指数和腰部与部的比率有效地预测了MetS,而不是脂肪与肌肉的比率.
科学领域:
- 内分泌学 在内分泌学.
- 公共卫生 公共卫生
- 人类测量学 人类测量学.
背景情况:
- 代谢综合征 (MetS) 构成了一个显著且日益增长的全球公共卫生挑战.
- 了解MetS的预测因素对于早期干预和管理至关重要.
研究的目的:
- 识别可以预测约旦成年女性代谢综合征 (MetS) 的人类学和身体成分指数.
- 在这个人群中评估MetS的各种指数的预后准确性.
主要方法:
- 进行了一项涉及656名约旦成年女性的横截面研究.
- 测量包括体重,身高,腰部/部周长,脂质样本,禁食葡萄糖和血压.
- 计算的指数:脂肪质量指数 (FMI),身体质量指数 (BMI),脂肪与肌肉的比,以及腰与部的比 (WHR). 进行了接收器操作特征 (ROC) 分析.
主要成果:
- 40.6%的参与者患有MetS;90.2%的MetS患者根据身体脂肪百分比被归类为肥胖.
- 与非MetS参与者相比,MetS参与者对大多数人体指数 (FMI,BMI,WHR) 的平均值显著更高.
- 像FMI,BMI和WHR这样的指数显示了MetS的公平预测能力 (AUC0.66-0.72),而脂肪与肌肉的比率显示了预测能力差.
结论:
- 脂肪质量百分比,FMI,BMI和WHR是约旦成年女性MetS的可行的预测指标.
- 发现脂肪与肌肉的比率是这个队列中MetS的不可靠预测指标.
- 建议对更大,更多样化的样本进行进一步的研究,以在约旦开发优秀的MetS预测器.
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