在使用NHANES和机器学习的20-59岁成年人中探索ZJU指数和肉眼之间的联系
Huan Chen1,2, Ning Du3, Hong Xiao4
1Department of Orthopedic Surgery, Chungnam National University School of Medicine, Daejeon, Republic of Korea.
Scientific reports
|July 2, 2025
概括
代谢标志物ZJU指数与年龄在20-59岁的成年人患肉症 (肌肉损失) 的风险较高有关. 机器学习确定了ZJU,教育和种族作为关键预测因素,突出了代谢和社会经济因素.
科学领域:
- 老年学是一门学科.
- 代谢过程中的代谢.
- 公共卫生 公共卫生
背景情况:
- 肌肉质量和功能丧失的萨尔科佩尼亚是一个重要的公共卫生问题.
- 新型标记物ZJU指数结合了脂质和葡萄糖代谢指标.
- 特别是在中年成人中,ZJU指数和肉症之间的关系尚不清楚.
研究的目的:
- 为了研究ZJU指数与美国20-59岁成年人肉症之间的关联.
- 通过机器学习识别肉类的关键预测因子.
- 探索与人口和临床因素的潜在相互作用.
主要方法:
- 从2011-2018年NHANES数据集中对4,012名成年人的横截面分析.
- 多变量逻辑回归和受限制的立方线 (RCS) 来评估ZJU指数与肉类的关联.
- 机器学习模型 (随机森林,SHAP,Boruta) 用于预测器识别和风险分层.
主要成果:
- 每次ZJU指数的SD增加都与13%更高的肉类的可能性有关 (OR=1.13).
- 与最低四分之一相比,ZJU最高四分之一的个体患肉症的可能性增加了12.6倍 (OR=13.6).
- 在ZJU指数和性别/糖尿病状态 (p<0.05) 之间观察到显著的相互作用.
结论:
- 较高的ZJU指数得分与20-59岁的成年人中缩症的风险增加有显著的关联.
- 该ZJU指数显示了作为代谢功能障碍的早期生物标志物的潜力,有助于导致肉症.
- 机器学习强调了ZJU指数,教育和种族作为关键预测因素,强调了社会经济决定因素在肉症风险中的作用.
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