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经典和特定生物电阻抗矢量分析在测量儿童身体成分中的可用性。

Usability of classic and specific bioelectrical impedance vector analysis in measuring body composition of children.

作者信息

Stagi Silvia, Silva Analiza M, Jesus Filipe, Campa Francesco, Cabras Stefano, Earthman Carrie P, Marini Elisabetta

机构信息

Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, 09042 Cagliari, Italy.

Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Lisbon, Portugal.

出版信息

Clin Nutr. 2022 Mar;41(3):673-679. doi: 10.1016/j.clnu.2022.01.021. Epub 2022 Jan 29.

Abstract

In this study, we aimed to analyse the relationship between body composition and bioelectrical variables in children and adolescents. The sample was composed of 6801 individuals (4035 males; 2766 females) aged 8-20 years included in the National Health and Nutrition Examination Survey (NHANES) years 1999-2004. Classic and specific bioelectrical impedance vector analysis (BIVA) were applied and compared with dual-energy X-ray absorptiometry (DXA) for the evaluation of fat mass (FM) and fat-free mass (FFM), and bioimpedance spectroscopy (BIS) for the evaluation of intra-cellular water (ICW), extra-cellular water (ECW), and total body water (TBW). Fat-free mass index (FFMI) was calculated. Spearman's correlation, regression, and depth-depth analyses were applied. The evaluation of body composition with BIVA agreed well with that of DXA or BIS, independently of sex, age, and ethnicity: classic BIVA was mostly sensitive to differences in TBW, ECW/ICW, whereas specific BIVA to differences in %FM, FFMI, and ECW/ICW. The depth-depth analysis confirmed the associations of classic BIVA (coeff. 0.500, p < 0.001), and specific BIVA (coeff. 0.512, p < 0.001), also considering the significant effect of age (p < 0.001). In classic BIVA the association was slightly stronger in females (by 0.03, p = 0.042) and among Blacks (0.06, p = 0.002), whereas in specific BIVA it was stronger by 0.06 (p < 0.001) in females and similar among ethnic groups. The combined use of the two BIVA approaches represents a valuable tool for complete evaluation of body composition in growth studies, for the prevention and monitoring of malnutrition, and the monitoring of the performance in young athletes.

摘要

在本研究中,我们旨在分析儿童和青少年身体成分与生物电变量之间的关系。样本由1999 - 2004年美国国家健康与营养检查调查(NHANES)中纳入的6801名8 - 20岁个体组成(4035名男性;2766名女性)。应用经典和特异性生物电阻抗矢量分析(BIVA),并与双能X线吸收法(DXA)评估脂肪量(FM)和去脂体重(FFM),以及生物阻抗谱(BIS)评估细胞内水(ICW)、细胞外水(ECW)和总体水(TBW)进行比较。计算去脂体重指数(FFMI)。应用斯皮尔曼相关性、回归分析和深度 - 深度分析。无论性别、年龄和种族如何,BIVA对身体成分的评估与DXA或BIS的评估结果高度一致:经典BIVA对TBW、ECW/ICW的差异最为敏感,而特异性BIVA对%FM、FFMI和ECW/ICW的差异敏感。深度 - 深度分析证实了经典BIVA(系数0.500,p < 0.001)和特异性BIVA(系数0.512,p < 0.001)的相关性,同时也考虑到年龄的显著影响(p < 0.001)。在经典BIVA中,女性(增加0.03,p = 0.042)和黑人(增加0.06,p = 0.002)中的相关性略强,而在特异性BIVA中,女性相关性更强(增加0.06,p < 0.001),不同种族间相似。两种BIVA方法的联合使用是生长研究中全面评估身体成分、预防和监测营养不良以及监测年轻运动员表现的有价值工具。

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