内脏脂肪积累和肉症之间的关联:一个横截面研究
Shengwei Wang1, Weigen Wu2, Ling Zhang1
1Department of Geriatrics, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong Province 510080, PR China.
Experimental gerontology
|August 1, 2025
概括
内脏脂肪积累指标与肉症风险有关. 体重调整腰部指数 (WWI) 成为最强的预测指标,机器学习模型在健康老龄化风险评估中显示出高准确性.
科学领域:
- 老年学是一门学科.
- 代谢健康 代谢健康
- 身体组成分析 身体成分分析
背景情况:
- 在全球范围内,肉症的发病率正在上升,需要改进风险评估工具.
- 内脏脂肪积累是一个重要的,但经常被忽视的因素,与sarcopenia相关.
研究的目的:
- 调查六个内脏脂肪指标与肉症风险之间的关联.
- 开发和验证机器学习模型,使用这些指标预测肉症风险.
主要方法:
- 从2011-2018年NHANES中对5200名参与者的分析.
- 评估相对脂肪质量 (RFM),脂质积累产物 (LAP),体重调整的腰指数 (WWI),甘油三糖腰与身高比率 (TyG-WHtR),胰岛素抵抗代谢得分 (METS-IR) 和内脏脂肪代谢得分 (METS-VF).
- 使用多变量逻辑回归,平滑曲线拟合,值效应分析和9个机器学习模型与SHAP进行解释性.
主要成果:
- 所有评估的内脏脂肪指标都显示出与肉症风险有显著的积极关联.
- 在值效应分析中,针对每一个有关肉症的指标,确定了特定的和点.
- 后勤回归模型实现了AUC-ROC为0.878,第一次世界大战被确定为通过SHAP分析最强大的预测因素.
结论:
- 内脏脂肪积累指标对于评估肉症风险至关重要.
- 体重调整后腰部指数 (WWI) 是评估指标中最重要的预测指标.
- 机器学习模型表现出高精度,支持它们通过管理内脏脂肪来促进健康的衰老.
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