新型人体指标与成年人肉类和肉类肥胖症的相关性和预测值
Xue Wu1, Ziang Chen1, Yuanhui Zhao1
1Beijing Sport University, Beijing, China.
Scientific reports
|December 31, 2024
概括
这项研究使用NHANES数据确定了用于预测肉症和肉性肥胖症的关键人类指标. 身体圆度指数和腰与身高的比率显示出早期风险检测的强大预测能力.
科学领域:
- 老年学与公共卫生
- 营养科学 营养科学
- 生物识别信息 生物识别信息
背景情况:
- 麻症 (SA) 和麻性肥胖症 (SO) 在中年和老年人中普遍存在.
- 早期干预需要准确和可访问的方法来检测SA和SO风险.
- 现有的诊断方法可能是侵入性的或昂贵的,限制了广泛的查.
研究的目的:
- 通过使用全面的NHANES数据,识别了影响萨尔科佩尼亚和萨尔科佩尼肥胖症的因素.
- 开发一种非侵入性,具有成本效益的方法,用于同时检测SA和SO的风险.
- 评估人类指标的临界值,用于预警和风险管理.
主要方法:
- 使用了2001-2004年和2011-2018年的NHANES数据.
- 应用了美国国家卫生研究院基金会 (FNIH) 的诊断标准.
- 使用R软件使用后勤回归,受限立方线 (RCS) 和接收器运行特征 (ROC) 曲线分析 (AUC).
主要成果:
- 所有的人类指数与SA和SO发病有正相关.
- 腰与身高的比率 (WHtR) 显示在同变量调整后有很强的关联.
- 身体圆度指数和WHtR显示出优异的预测性能 (AUC分别为0.87和0.86).
结论:
- 不同的人类指数与成人开始的SA和SO有很强的相关性,提供了预测能力.
- 车身圆度指数和WHtR显示出作为SA和SO的关键指标的巨大潜力.
- 最佳的指数值将疾病风险降至最低,支持自我监测,体力活动和营养摄入量以减轻疾病风险.
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