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评估临床环境中肥胖症的挑战。

The challenges of assessing adiposity in a clinical setting.

机构信息

Department of Biomedicine, Aarhus University, Aarhus, Denmark.

Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.

出版信息

Nat Rev Endocrinol. 2024 Oct;20(10):615-626. doi: 10.1038/s41574-024-01012-9. Epub 2024 Jul 15.

Abstract

To tackle the burden of obesity-induced cardiometabolic disease, the scientific community relies on accurate and reproducible adiposity measurements in the clinic. These measurements guide our understanding of underlying biological mechanisms and clinical outcomes of human trials. However, measuring adiposity and adipose tissue distribution in a clinical setting can be challenging, and different measurement methods pose important limitations. BMI is a simple and high-throughput measurement, but it is associated relatively poorly with clinical outcomes when compared with waist-to-hip and sagittal abdominal diameter measurements. Body composition measurements by dual energy X-ray absorptiometry or MRI scans would be ideal due to their high accuracy, but are not high-throughput. Another important consideration is that adiposity measurements vary between men and women, between adults and children, and between people of different ethnic backgrounds. In this Perspective article, we discuss how these critical challenges can affect our interpretation of research data in the field of obesity and the design and implementation of clinical guidelines.

摘要

为了应对肥胖引起的心脏代谢疾病的负担,科学界依赖于临床中准确且可重复的肥胖测量。这些测量结果指导了我们对人类试验中潜在生物学机制和临床结局的理解。然而,在临床环境中测量肥胖和脂肪组织分布可能具有挑战性,并且不同的测量方法存在重要的局限性。BMI 是一种简单且高通量的测量方法,但与腰围-臀围比和矢状腹部直径测量相比,它与临床结局的相关性相对较差。双能 X 射线吸收法或 MRI 扫描的体成分测量结果非常理想,因为它们具有较高的准确性,但通量较低。另一个重要的考虑因素是,肥胖测量结果在男性和女性之间、成人和儿童之间以及不同种族背景的人群之间存在差异。在这篇观点文章中,我们讨论了这些关键挑战如何影响我们对肥胖领域研究数据的解释,以及临床指南的设计和实施。

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