School of Nursing, Office of Research and Scholarship, University of Alabama at Birmingham, Birmingham, AL, USA.
School of Nursing, Department of Family, Community Health, and Systems, University of Alabama at Birmingham, Birmingham, AL, USA.
Curr Diab Rep. 2021 Mar 17;21(5):14. doi: 10.1007/s11892-021-01381-9.
The aim of this study is to summarize anthropometric and advanced methods used to assess body composition in adults diagnosed with type 2 diabetes (T2D) or at risk for T2D that provide clinically relevant information about T2D disease-related complications or risk factors.
Anthropometry is commonly used in clinical settings; however, provides unreliable estimates of fat mass, fat-free mass, and body fat distribution for metabolic health assessments compared to advanced techniques such as bioelectrical impedance analysis (BIA), dual-energy x-ray absorptiometry (DXA), computerized tomography (CT), and magnetic resonance imaging (MRI). Few studies report the clinical use of anthropometric and advanced body composition methods that identify T2D disease-related complications or T2D risk factors. Anthropometry, BIA, DXA, CT, and MRI were used to estimate body adiposity and distribution, visceral and subcutaneous adipose tissue depots, and skeletal muscle mass. Review findings indicate that these methods were capable of identifying clinically relevant T2D disease-related complications such as sarcopenia and T2D risk factors such as obesity or regional adiposity. However, estimates were often sex and race/ethnicity specific warranting cross-validation of these methods in broader populations with T2D or risk for T2D prior to clinical implementation.
本研究旨在总结用于评估 2 型糖尿病(T2D)或有 T2D 风险的成年人身体成分的人体测量学和先进方法,这些方法提供了与 T2D 相关并发症或危险因素有关的临床相关信息。
人体测量学在临床环境中通常被使用;然而,与生物电阻抗分析(BIA)、双能 X 射线吸收法(DXA)、计算机断层扫描(CT)和磁共振成像(MRI)等先进技术相比,人体测量学对代谢健康评估的体脂肪量、去脂体重和体脂肪分布的估计不可靠。很少有研究报告人体测量学和先进的身体成分方法的临床应用,这些方法可以识别与 T2D 相关的并发症或 T2D 风险因素。人体测量学、BIA、DXA、CT 和 MRI 被用于估计身体肥胖度和分布、内脏和皮下脂肪组织蓄积、以及骨骼肌量。综述结果表明,这些方法能够识别与 T2D 相关的临床相关并发症,如肌肉减少症,以及 T2D 风险因素,如肥胖或区域性肥胖。然而,这些估计通常是性别和种族/民族特异性的,在更广泛的 T2D 或有 T2D 风险的人群中,需要对这些方法进行交叉验证,然后才能在临床中实施。