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氧化平衡评分预测超重成人慢性病风险:基于NHANES的机器学习研究
Leying Zhao1,2, Cong Zhao1,2, Yuchen Fu1,2
1Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Frontiers in nutrition
|July 31, 2025
概括
较高的氧化平衡得分 (OBS) 与超重和肥胖成年人慢性病 (CKD) 风险降低有关. 这表明生活方式和饮食改变可能有助于预防脏健康.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 营养流行病学 营养流行病学
- 公共卫生 公共卫生
背景情况:
- 氧化应激是慢性病 (CKD) 发病的关键,特别是在超重/肥胖个体中.
- 肥胖的脂肪组织功能障碍会恶化炎症和代谢问题,影响脏健康.
- 氧化平衡评分 (OBS) 量化了氧化负担,但其在超重成人中对CKD的预测值尚不清楚.
研究的目的:
- 调查氧化平衡评分 (OBS) 与超重和肥胖成年人慢性病 (CKD) 风险之间的关联.
- 使用机器学习模型探索OBS的预测性能.
- 在OBS框架内确定CKD风险的关键预测因素和修改因素.
主要方法:
- 从NHANES (1999-2018) 分析了28377名超重/肥胖的参与者.
- 使用饮食和生活方式因素计算的OBS;根据KDIGO指南定义的CKD.
- 后勤回归,受限立方线,子组分析和14个机器学习模型 (包括 他们使用的是 (SHAP分析) 的数据.
主要成果:
- 较高的OBS显示与CKD风险的反向关联 (OR,0.975;P < 0.0001),具有线性剂量反应.
- 在病态肥胖症 (BMI ≥40 kg/m2) 中,保护作用降低,主要是由于饮食得分减弱.
- GLMBoost模型实现了0.833的AUC;SHAP分析强调年龄,LDL-C,SBP,体力活动和是关键因素.
结论:
- 增加的OBS与超重和肥胖人口中慢性病风险较低有关.
- 这一发现支持氧化平衡在维持脏健康方面的作用.
- OBS及其组件可能为早期CKD预防策略提供潜力.
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