使用Z分数的体重指数和肺功能之间的关联:非线性关系和机器学习分类建模模型
Wei Feng1, Fei Lu1, Jiangjiang Liu1
1Department of Thoracic Surgery, The Fourth Affiliated Hospital of Soochow University, Suzhou, China.
Frontiers in physiology
|December 3, 2025
概括
较高的体重指数 (BMI) 与减少阻塞性肺缺陷,但增加限制性肺缺陷有关. 这一发现为基于BMI类别的肺功能管理提供了新的见解.
科学领域:
- 肺部医学 肺部医学
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 身体质量指数 (BMI) 是评估体重的常见指标.
- 肺功能障碍包括阻塞性,限制性和混合性呼吸系统缺陷.
- 了解BMI与肺功能之间的关系对于公共卫生和临床管理至关重要.
研究的目的:
- 系统地研究BMI与不同肺功能表型之间的关联.
- 探索BMI对阻塞性和限制性呼吸系统缺陷的差异影响.
- 应用Z分数和机器学习来实现肺功能管理的新方法.
主要方法:
- 利用了来自国家健康和营养检查调查 (NHANES,2007-2012) 的数据.
- 使用回归模型和受限立方线计算的肺功能Z-score和分析的关联.
- 采用机器学习算法和SMOTE用于特征重要性和类不平衡.
主要成果:
- 较高的BMI与阻塞性呼吸系统缺陷风险 (OR=0.532) 相反,与限制性呼吸系统缺陷风险 (OR=2.900) 相反.
- 在BMI和限制性呼吸系统缺陷风险之间观察到U形关系,值为26.39kg/m2.
- 与BMI相关的特征被确定为机器学习模型中最重要的预测因素,占总特征重要性的32%以上.
结论:
- 体重指数 (BMI) 与阻塞性和限制性肺功能障碍有差异性和相反的关联.
- 较高的BMI可以防止阻塞性缺陷,但会增加限制性缺陷的风险.
- 这些发现强调了BMI和肺部健康之间的复杂相互作用,并通过先进的统计方法验证了这一点.
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