基于身体质量指数的方程用于估计III级肥胖症妇女的身体组成
João Felipe Machado1, Flávia Lúcia Conceição2, João Régis Carneiro3
1JM: Educação Física. Ph.D. Ciências. Laboratório de Biociência, Movimento Humano (LABIMH), Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro (UFRJ). Rio de Janeiro, Brasil. prof.jfmachado@gmail.com Universidade Federal do Rio de Janeiro Movimento Humano (LABIMH) Hospital Universitário Clementino Fraga Filho Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil.
预测方程可以使用身体质量指数 (BMI) 估计严重肥胖妇女的身体组成. 用身高的平方进行规范化的方程显示,身体脂肪质量和骨肌肉质量的准确性更好,但不是身体脂肪百分比.
科学领域:
- 肥胖问题研究研究
- 身体组成分析 身体成分分析
- 预测建模预测建模
背景情况:
- 准确的身体成分评估对于管理严重肥胖至关重要.
- 现有的预测模型在特定人群中可能存在局限性.
研究的目的:
- 开发和验证预测方程,以估计III级肥胖妇女的身体组成.
- 使用体重指数 (BMI) 作为主要预测变量.
主要方法:
- 一项涉及104名患有III级肥胖症的患者的横截面研究.
- 随机划分成方程和验证组用于回归模型开发和测试.
- 生物阻抗分析 (InBody® 230) 用于测量体脂肪量 (BFM),体脂肪百分比 (BFP),骨肌量 (SMM),无脂肪量 (FFM) 和总体水量 (TBW).
主要成果:
- 多项式回归方程证明最适合预测身体组成.
- 用高度平方规范化的方程通常产生更高的确定系数 (r2),表明更好的预测精度 (0.510.94).
- 身体脂肪百分比 (BFP) 和身体脂肪百分比指数 (BFPI) 与BMI的相关性很低 (r2 0.110.29),这表明预测能力有限.
结论:
- 基于BMI的预测模型可以有效地估计患有III级肥胖症的女性的身体组成,不包括BFP和BFPI.
- 高度规范化的方程是优越的预测器.
- 对于具有极端BMI值 (4076 kg/m2) 的个体,建议谨慎,因为估计偏差可能会增加.
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