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BIA body composition assessment

BIA body composition assessment

Hyperosmolar BI state. Skip to main content Thank you for visiting nature. NIH Technology Assessment Statement. What is bioelectrical impedance analysis? Full size table. BIA body composition assessment


Is This Fat? Real World Bodyfat Analysis

BIA body composition assessment -

Agreement for total fat percentage remained for sex when analyzed separately Table S1 and Fig. Following 10 weeks of empagliflozin, CRT or a V-Med diet the trends for lean mass remained with arm LBM overestimated, legs LBM and ASMI underestimated, and fat percentage overestimated by the DSMF-BIA in all interventions Table 3 and Fig.

Despite having profound effects on body composition, the different interventions did not seem to affect the high agreement between DXA and DSMF-BIA. Bland—Altman plots presenting the difference between DSMF-BIA and DXA vs.

The solid line represents the mean bias and the broken line the ±1. Mean bias is considered the mean difference of all individuals between DSMF-BIA and DXA.

ASMI appendicular skeletal mass index, DSMF-BIA direct segmental multi-frequency bioelectrical impendence analysis, DXA dual-energy X-ray absorptiometry, LBM lean body mass.

Our results clearly show that assessing body composition and diagnosing sarcopenia using the DSMF-BIA method is comparable to the DXA scan in older adults with T2DM. This was not affected by a week intervention period with treatment modalities often used in the treatment of T2DM.

The degree of agreement between the methods was overall better when comparing parameters of LBM than parameters of FM. For diagnosing sarcopenia in the clinical setting, DSMF-BIA had high specificity and high negative predictive value, suggesting it may be a useful screening tool for this condition.

Discrepancies between DXA and DSMF-BIA have been previously noted in different populations. This discrepancy highlights the importance of validation of DSMF-BIA in different populations and under different physiologic interventions.

Given the increasing rates of diabetes in general and in older adults in particular [ 2 ] and the wide use of BIA methods in studies testing diabetes and sarcopenia outcomes [ 31 ], it is not surprising that there was a call for validation studies testing the accuracy of BIA for this population [ 31 ].

Using DXA as a method to diagnose sarcopenia has several inherent limitations. DXA scan is less accessible and more expensive than DSMF-BIA. Very tall and very obese individuals cannot be adequately measured in a standard DXA machine and body thickness and hydration status e. Moreover, to ensure the accuracy of any method for assessing muscle mass, standardization is needed.

Calibration of materials and equations used to derive lean mass should be standardized across manufacturers. It is important to standardize the local regions of interest, such as trunk, arms, legs, which are different across manufacturers.

Finally, defining a reference population in the same way as has been achieved for the use of DXA in diagnosing osteoporosis should be considered [ 43 ]. The strengths of this manuscript include its relatively large population, its prospective nature and focus on a relatively poorly studied population of older adults with diabetes and low physical activity level.

Moreover, we present the lack of a significant effect of commonly used interventions for the treatment of T2DM on the validity of DSMF-BIA.

Its weaknesses include the limited sample size in the prospective phase, the relatively short period of follow up and the fact that the study was not specifically designed to validate MF-BIA vs.

Also, the validity tested in the current paper is limited to relatively young older adults with T2DM who have limited rate of complications with low levels of sarcopenia. In that sense the significance of the findings presented here are important for early detecting lower muscle mass for early prevention, but with the cost of limited external validity.

In conclusion, the DSMF-BIA as compared to DXA is a reliable screening technique for sarcopenia in older patients with T2DM. Accurate and accessible diagnosis of sarcopenia is crucial in older subjects with diabetes and directly affects clinical decisions and treatment [ 44 , 45 , 46 ].

The routine use of DSMF-BIA as a screening tool for sarcopenia in clinics treating older patients with diabetes should be considered. World Health Organization. World report on ageing and health. Mathus-Vliegen EMH.

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About us Contact us Join our team Privacy policy Terms of use Terms and conditions Disclaimer. Bioelectrical Impedance Analysis BIA Bioelectrical Impedance Analysis BIA can estimate body composition e. Contents of Article Summary What is Bioelectrical Impedance Analysis?

Types of Bioelectrical Impedance Analysis What are the Bioelectrical Impedance Analysis equations? Is Bioelectrical Impedance Analysis valid and reliable?

Are there issues with Bioelectrical Impedance Analysis? Is future research needed with Bioelectrical Impedance Analysis? Conclusion References About the Author. Figure 1.

The difference in bioelectrical conductivity between muscle and fat. References Buccholz, C. Bartok and D. Franssen, E. Rutten, M.

Groenen, L. Vanfleteren, E. Wouters and M. Schlager, R. Stollberger, R. Felsberger, H. Hutten and H. Bergsma-Kadijk, B. Baumeister and P. Sun, C. Chumlea, S. Heymsfield , H.

Lukaski, D. Schoeller, K. Friedl, R. Kuczmarski, K. Flegal, C. Johnson and V. French, G. Martin, B. Younghusband, R. Green, Y. Xie, M. Matthews, J. Barron, D. Fitzpatrick, W. Gulliver and H. Salle, M. Audran and V. van Marken Lichtenbelt, F. Hartgens, N. Vollaard, S.

Ebbing and H. Jebb, T. Cole, D. Doman, P. Murgatroyd and A. Chouinard, D. Schoeller, A. Watras, R. Randall Clark, R. Close and A. Evans, M. Saunders, M. Spano, S. Arngrimsson, R.

Lewis and K. Melchiorri, S. Volpe and A. Clark, C.

Bioelectrical BIA body composition assessment Sssessment BIA and Immune-boosting herbal tea Composition Analyse As a assdssment, you know that assessmsnt Body Mass Bdy BMI by itself is no t sufficient BIA body composition assessment analyze a patient's health status compoition body BIA body composition assessment thoroughly. Fat, aswessment, water and other important indicators of underlying medical asseesment are not considered in the BMI. Reason enough for Medeia to develop exactly that - a new device that measures patients' body compositions - the "BCA" Body Composition Analyzer. As a component of the QBioscan, it produces all these measurements and values at medical science highest standard levels. As a result, now a tool exists that, in less than 20 seconds, can determine fat mass, extracellular and intracellular water, and skeletal muscle mass, all fundamental assessment components to aid an accurate patient evaluation. Simple, user friendly, and with medical precision, this device can conveniently be integrated into your examination routine. Bioelectrical impedance composution is an extremely popular method for assessment of body composition. Hydration for staying hydrated during weight loss its wide-spread use over the past BIA body composition assessment years, asessment accuracy and clinical BIA body composition assessment is still questioned. Most frequently, criticisms focus on complsition purported poor absolute accuracy and that different impedance analysers or prediction equations fail to measure body composition identically. This perspective review highlights that the magnitude of errors associated with impedance methods are not dissimilar to those observed for so-called gold standard methods. It is argued that the focus on statistically significant but small differences between methods can obscure operational equivalence and that such differences may be of minor clinical significance.

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