遗传祖先影响拉丁美洲人口的身体形状和肥胖风险
Magda Alexandra Trujillo-Jiménez1,2,3, Luis Orlando Pérez4,5, Carolina Paschetta4,5
1Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico CCT CENPAT CONICET, Puerto Madryn, U9120, Argentina. ale.trujim@gmail.com.
Scientific reports
|October 24, 2025
概括
传统的肥胖指标,如BMI,错误地将不同祖先的风险分类. 三维身体形状分析为肥胖诊断和人口风险分层提供了更准确,更有祖先意识的方法.
科学领域:
- 人类学是人类学.
- 公共卫生 公共卫生
- 生物医学工程 生物医学工程
背景情况:
- 肥胖的评估传统上依赖于人类学测量 (例如,BMI,WHR,WHtR).
- 这些指数在捕捉不同种群和遗传祖先的身体脂肪分布变化方面存在局限性.
- 目前的肥胖分类可能不适用于所有人,特别是在拉丁美洲等多祖先群体中.
研究的目的:
- 评估传统人体指数与3D身体形状分析对拉丁美洲成年人肥胖风险分类的准确性.
- 调查美洲原住民,欧洲和非洲祖先对肥胖指数有效性的影响.
- 探索先进的几何形态测量技术在改善肥胖诊断方面的潜力.
主要方法:
- 利用了拉丁美洲成年人不同程度的美洲原住民,欧洲人和非洲祖先的数据.
- 将传统的人类指数 (BMI,WHR,WHtR) 与3D身体形状分析进行比较.
- 采用先进的几何形态测量和图像/数据处理技术.
主要成果:
- 传统的指数,特别是WHR和WHtR,显示出特定祖先的偏见和在某些群体中系统地错误分类的肥胖风险.
- 3D身体形状分析表明,捕捉细微的脂肪分布变化的能力更大.
- 与传统方法相比,3D分析减少了与祖先相关的错误分类.
结论:
- 对肥胖风险的传统人类测量方法在不同的遗传祖先中并不普遍有效.
- 三维身体形状分析为肥胖诊断和风险分层提供了更准确,更细致的方法.
- 将3D形态测量与遗传祖先数据相结合,可以提高针对不同人群肥胖的精确公共卫生策略.
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