探索肥胖现象:一个纵向的视角
Ricardo Rosero-Revelo1, Mateo Tamayo2, Ricardo Correa3
1Department of Endocrinology, Diabetes and Metabolism, Cleveland Clinic, Cleveland, OH, USA. roseror@ccf.org.
Reviews in endocrine & metabolic disorders
|June 17, 2025
概括
身体质量指数 (BMI) 不足以诊断肥胖. 综合身体成分分析提供了更好的风险分层和针对肥胖的个性化治疗方法,改善了健康结果.
科学领域:
- 肥胖医学 肥胖医学
- 代谢健康 代谢健康
- 身体组成分析 身体成分分析
背景情况:
- 传统的身体质量指数 (BMI) 在区分脂肪和肌肉质量以及评估脂肪分布方面缺乏准确性.
- 新出现的证据突出显示,需要对身体组成进行全面的评估,以准确地分层肥胖风险.
- 来自2025年"柳叶刀"肥胖委员会的见解强调了当前诊断工具的局限性.
研究的目的:
- 审查肥胖现型的演变,从基于BMI的方法到多方面的方法.
- 检查导致肥胖症表型变异的代谢,遗传和荷尔蒙因素.
- 为了证明精细的肥胖表型如何可以预测疾病的进展,并指导个性化干预.
主要方法:
- 综合历史观点和肥胖现型的近期发展.
- 整合来自拉丁裔肥胖患者的原始纵向数据.
- 对生物电阻分析 (BIA) 和人体测量 (腰围,腰比) 的当前文献的综述.
主要成果:
- 肥胖的表型已经超越了BMI,包括了身体成分分析.
- 现型变异性解释了具有相似BMI的个体之间的不同健康风险.
- 精细的表型可以作为肥胖症进展的早期指标.
结论:
- 对肥胖评估的多维方法对于准确的风险分层至关重要.
- 细微的肥胖分类可以实现个性化的治疗策略.
- 定制的,基于表型的干预措施可以优化减肥并降低心脏代谢风险.
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