Validation of a Multi-Frequency Bioelectrical Impedance Analysis Device for the Assessment of Body Composition in Older Adults with Type 2 Diabetes
2Department of Medicine, Hadassah-Hebrew University Medical Center
3Department of Medicine and Aged Care, @AgeMelbourne, The University of Melbourne
4Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam
5The Sagol Center for Epigenetics of Metabolism and Aging, Tel Aviv Sourasky Medical Center
Aim:
In this study, we examine the accuracy of a direct segmental multi-frequency bioelectrical impedance analysis (DSMF-BIA) (InBody 770) for assessing body composition in older adults with T2DM when compared to DXA.
Methods:
84 older adults (49 women, age 71 ± 5 years. Body mass index 30 ± 5.6 kg /m2) with T2DM who were recruited for the CEV-65 study and had both DSMF-BIA and DXA assessments at baseline were included in the analysis. The main analysis included Bland-Altman plots and Intra Class Correlation Coefficients (ICC). Sub-analyses were performed according to gender and following 10 weeks of intervention (diet, circuit resistance training, and Empagliflozin).
Results:
The leg lean mass results according to DSMF-BIA and DXA were 14.76 ± 3.62 kg and 15.19 ± 3.52 kg respectively, however, did not differ between devices according to Bland-Altman analyses (p=0.353). Assessment of appendicular skeletal mass index did not differ between DSMF-BIA and DXA (7.43 vs. 7.47 kg/m2; p=0.84; ICC=0.965, p<0.0001; bias of -0.068, p =0.595). The accuracy of DSMF-BIA was limited when estimating fat mass indices reflected by significant biases according to Bland-Altman analyses.
Summary:
In a sample of older adults with T2DM the degree of agreement between DSMF-BIA and DXA, was high, supporting the use of DSMF-BIA for the diagnosis of low muscle mass. Better accuracy was observed when comparing parameters of lean mass versus parameters of fat mass. Gender as well as three common treatment modalities for T2DM did not modify the accuracy of the DSMF-BIA when compared to DXA.
