García Olivares María, Dalla Rovere Lara, Fernández Jiménez Rocío, Hardy Añón Carmen, Herola Cobos Cristina, Abuín Fernández José, Morillas Jimeneza Virginia, Hevilla Sánchez Francisco, García-Almeida José Manuel
Endocrinology and Nutrition Department, Hospital QuirónSalud Málaga, Málaga, Spain.
Endocrinology and Nutrition Department, Hospital Regional Universitario Málaga, IBIMA, Málaga Biomedical Research Institute and BIONAND Platform, Málaga, Spain.
Obes Facts. 2025 Jun 12:1-10. doi: 10.1159/000546820.
Assessing the nutritional and morphofunctional status of patients with obesity (PwO) is essential for optimizing their management. Nutritional ultrasound (NU) is a noninvasive, portable technique that offers insights into muscle and adipose tissue status. Combining NU with bioelectrical impedance analysis (BIA) and handgrip strength (HGS) may improve the assessment of body composition and muscle functionality. This study aimed to evaluate the usefulness of NU as a primary tool for morphofunctional assessment in PwO while comparing and complementing it with BIA and HGS.
A cross-sectional observational study was conducted including 178 PwO. Body composition was assessed using NU, single-frequency BIA, and HGS dynamometry. Correlations and multiple linear regression models were used to evaluate associations between NU, BIA, and HGS parameters.
Significant correlations were found between NU-measured quadriceps rectus femoris-cross-sectional area (RF-CSA) and BIA-derived fat-free mass markers, such as body cell mass (BCM) (r = 0.638, p < 0.001) and appendicular skeletal muscle mass (r = 0.591, p < 0.001). Additionally, leg subcutaneous adipose tissue measured by NU was highly correlated with BIA-calculated fat mass (r = 0.656, p < 0.001). Linear regression analyses further confirmed the importance of RF-CSA as a strong predictor of BCM, along with HGS and body mass index, explaining 78.2% of the variability in BCM (R2 = 0.782, Akaike Information Criterion = 672).
These findings suggest that NU, combined with BIA and HGS, provides a comprehensive, practical tool for assessing body composition and muscle function in obesity management, with the potential for routine application in clinical settings.
评估肥胖患者(PwO)的营养状况以及形态功能状态对于优化其治疗管理至关重要。营养超声(NU)是一种非侵入性的便携式技术,可提供有关肌肉和脂肪组织状态的见解。将NU与生物电阻抗分析(BIA)和握力(HGS)相结合可能会改善对身体成分和肌肉功能的评估。本研究旨在评估NU作为PwO形态功能评估的主要工具的有效性,同时将其与BIA和HGS进行比较和补充。
进行了一项横断面观察性研究,纳入了178例PwO。使用NU、单频BIA和HGS测力计评估身体成分。使用相关性和多元线性回归模型来评估NU、BIA和HGS参数之间的关联。
发现NU测量的股直肌横截面积(RF-CSA)与BIA衍生的无脂肪质量指标之间存在显著相关性,如体细胞质量(BCM)(r = 0.638,p < 0.001)和四肢骨骼肌质量(r = 0.591,p < 0.001)。此外,NU测量的腿部皮下脂肪组织与BIA计算的脂肪量高度相关(r = 0.656,p < 0.001)。线性回归分析进一步证实了RF-CSA作为BCM的强预测指标的重要性,以及HGS和体重指数,解释了BCM变异性的78.2%(R2 = 0.782,赤池信息准则 = 672)。
这些发现表明,NU与BIA和HGS相结合,为肥胖管理中评估身体成分和肌肉功能提供了一种全面、实用的工具,具有在临床环境中常规应用的潜力。