Annunziata Giuseppe, Verde Ludovica, Tarsitano Maria Grazia, Stallone Tiziana, Grillo Alessia Rosaria Anna, Santaniello Maria Grazia, Cristiano Nadia Maria Venere, Ragozzino Giovanni, Auletta Lucia, Caprio Massimiliano, Wagner Dale R, Colao Annamaria, Muscogiuri Giovanna, Barrea Luigi
Facoltà di Scienze Umane, della Formazione e dello Sport, Università Telematica Pegaso, Via Porzio, Centro Direzionale, Isola F2, 80143, Naples, Italy.
Department of Public Health, University of Naples Federico II, Via Sergio Pansini 5, 80131, Naples, Italy.
J Transl Med. 2025 Aug 27;23(1):966. doi: 10.1186/s12967-025-06963-9.
An in-depth analysis of body composition (BC) is fundamental for the assessment of nutritional status. A multifactorial approach is important for this assessment, integrating parameters and measurements obtained through different techniques, most notably bioelectrical impedance analysis (BIA) and ultrasound. In this study, we aimed to evaluate associations between BIA parameters and ultrasound measurements.
The BC of 993 adults (539 women and 454 men) was evaluated using BIA (BIA 101 RJL, Akern Bioresearch, Florence, Italy) and a non-diagnostic ultrasound-based technique at the thigh, employing a 2.5 MHz, A-mode probe (BodyMetrixTM, IntelaMetrix, Inc., Livermore, CA, USA). Ultrasound scans were analysed using Adipometria v 1.8.8 software (Hosand Technologies s.r.l., Verbania, Italy) and the muscle echogenicity (EG) was obtained. Ultrasound measurements were correlated with BIA parameters.
In the total population, muscle EG was directly correlated with the BIA parameter resistance (r = 0.347) and inversely correlated with several BIA parameters, including intracellular water (r = -0.479 and - 0.386, % and L, respectively) and phase angle (r = -0.487). These associations were maintained even after stratification of subjects by sex.
The observation of significant associations between BIA parameters and ultrasound measurements suggests the importance of not considering the two methods as exclusive, but of integrating them into a holistic approach for the in-depth assessment of BC and nutritional status. Such an approach provides detailed information for the identification of optimal nutritional treatment, its monitoring over time, and possible optimisation.
深入分析身体成分(BC)是评估营养状况的基础。多因素方法对于该评估很重要,它整合了通过不同技术获得的参数和测量值,最显著的是生物电阻抗分析(BIA)和超声。在本研究中,我们旨在评估BIA参数与超声测量值之间的关联。
使用BIA(BIA 101 RJL,阿克恩生物研究公司,意大利佛罗伦萨)和基于非诊断性超声的技术,采用2.5MHz A型探头(BodyMetrixTM,英特拉梅克斯公司,美国加利福尼亚州利弗莫尔)对993名成年人(539名女性和454名男性)的身体成分进行评估。使用Adipometria v 1.8.8软件(霍桑德技术有限公司,意大利韦尔巴尼亚)分析超声扫描图像,并获得肌肉回声(EG)。将超声测量值与BIA参数进行相关性分析。
在总体人群中,肌肉EG与BIA参数电阻呈正相关(r = 0.347),与几个BIA参数呈负相关,包括细胞内水(r分别为-0.479和-0.386,%和L)和相位角(r = -0.487)。即使按性别对受试者进行分层后,这些关联仍然存在。
BIA参数与超声测量值之间存在显著关联,这表明不应将这两种方法视为相互排斥,而应将它们整合到一种整体方法中,用于深入评估身体成分和营养状况。这种方法为确定最佳营养治疗方案、长期监测以及可能的优化提供了详细信息。