一个优化的人类指数 - - 身体形状指数 - - cm - - 显示了心血管风险分层的卓越表现
Jiayu Tian1, Xuejie Wang2, Xiaoqin Wen1
1Department of Cardiology, Tianjin Hospital, China.
The Journal of international medical research
|May 24, 2025
概括
精细的身体形状指数 (BSI-cm) 是比传统措施更好的心血管疾病风险指标. 较高的BSI-cm线性与心血管死亡风险增加有关.
科学领域:
- 心脏病学 心脏病学
- 公共卫生 公共卫生
- 人类测量学 人类测量学.
背景情况:
- 中心肥胖与心血管疾病 (CVD) 风险有关.
- 新型身体形状指数对心血管疾病风险分层的有用性需要进一步研究.
研究的目的:
- 为了评估精制的身体形状指数 (BSI-cm) 在识别心血管疾病方面的表现.
- 评估BSI-cm与心血管死亡率之间的关联.
- 将BSI-cm与传统的人类指数进行比较,以预测心血管疾病风险.
主要方法:
- 利用了国家健康和营养检查调查数据 (1999-2018) 随着死亡率的随访 (直到2019年).
- 使用接收器操作特征 (ROC) 曲线分析,考克斯回归,受限立方线和卡普兰-梅尔生存分析.
- 将BSI-cm与腰与身高比,腰围和体重指数进行比较.
主要成果:
- 与腰与身高比率 (AUC=0.631),腰围 (AUC=0.624) 和体重指数 (AUC=0.556) 相比,BSI-cm在心血管疾病查中表现优越 (AUC=0.701).
- 在确定冠状动脉心脏病 (AUC=0.728) 中,BSI-cm显示了最高的准确性.
- 在BSI-cm和心血管死亡风险之间发现了线性关系,每增加BSI-cm的标准偏差,死亡率增加20%,心血管死亡风险增加20%.
结论:
- BSI-cm是一种比传统的人类测量方法更有效的工具,用于识别心血管疾病.
- BSI-cm与心血管死亡风险具有显著的线性相关性.
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