生物电阻分析预测高血压前期和高血压:基于医院的横截面研究
M Yogesh1, Mansi Mody2, Jenish Patel2
1Department of Community Medicine, Shri M. P. Shah Government Medical College, Jamnagar, Gujarat, India.
Journal of family medicine and primary care
|December 4, 2024
概括
生物阻抗分析 (BIA) 有效地预测高血压风险,优于传统的人类测量. 高内脏脂肪和休息代谢率,以及低骨肌肉,是高血压查的关键指标.
科学领域:
- 心血管健康 心血管健康
- 代谢健康 代谢健康
- 生物医学工程 生物医学工程
背景情况:
- 使用人体测量和生物阻抗的高血压预测为查提供了实际的优势.
- 这项研究调查了人体测量和生物电阻分析 (BIA) 估计作为高血压前期和高血压的预测标记.
研究的目的:
- 分析人体测量和生物电阻 (BIA) 估计作为高血压前期和高血压的预测标记.
- 为了比较BIA标记物的预测准确性与高血压查的人类测量措施.
主要方法:
- 对432名成年参与者进行了横截面分析.
- 测量包括血压,人体测量 (体重,BMI,腰/部周长) 和BIA (身体脂肪%,休息代谢率,内脏脂肪,骨肌肉百分比).
主要成果:
- 内脏脂肪和休息代谢率与缩血压的正相关性最高 (分别为r=0.662和r=0.589).
- 骨肌的百分比与缩血压有负相关性 (r=-0.551).
- 接受器运行特征曲线分析表明,预测高血压时,内脏脂肪体积 (AUC=0.913) 和休息代谢率 (AUC=0.968) 的预测准确度很高.
结论:
- 多重BIA估计,包括高内脏脂肪和休息代谢率,结合低骨肌肉百分比,与高血压有很强的关联.
- 在临床环境中,BIA预测器在高血压查方面表现出优于基于人体测量模型的优势.
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