scholarly journals "Bioelectrical Impedance Analysis in Managing Sarcopenic Obesity in NAFLD"

2021 ◽  
Author(s):  
David J. Hanna ◽  
Scott T. Jamieson ◽  
Christine S. Lee ◽  
Christopher A. Pluskota ◽  
Nicole J. Bressler ◽  
...  
Keyword(s):  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Sarcopenic Obesity

scholarly journals Clinical detection of sarcopenic obesity by bioelectrical impedance analysis

1996 ◽  
Vol 64 (3) ◽  
pp. 472S-477S ◽  
Author(s):  
D Heber ◽  
S Ingles ◽  
J M Ashley ◽  
M H Maxwell ◽  
R F Lyons ◽  
...  
Keyword(s):  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Sarcopenic Obesity ◽  
Clinical Detection

scholarly journals POS-129 BIOELECTRICAL IMPEDANCE ANALYSIS IN DETERMINING BODY COMPOSITION IN SRI LANKAN PATIENTS WITH LUPUS NEPHRITIS

2021 ◽  
Vol 6 (4) ◽  
pp. S52
Author(s):  
D. BASNAYAKE ◽  
A. Nayanamali ◽  
H. Amarathunga ◽  
N. Erandika ◽  
J. Pathiraja ◽  
...  
Keyword(s):  
Body Composition ◽  
Lupus Nephritis ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Sri Lankan

Multifrequency bioelectrical impedance analysis to assess human body composition

1999 ◽  
Vol 19 (8) ◽  
pp. 1179-1188 ◽  
Author(s):  
Sufia Islam ◽  
Iqbal Kabir ◽  
Mohammad A. Wahed ◽  
Michael I. Goran ◽  
Dilip Mahalanabis ◽  
...  
Keyword(s):  
Body Composition ◽  
Human Body ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Human Body Composition

Relationship between trunk muscle strength and trunk muscle mass and thickness using bioelectrical impedance analysis and ultrasound imaging

2021 ◽  
pp. 1-10
Author(s):  
Ryo Miyachi ◽  
Nana Koike ◽  
Suzu Kodama ◽  
Junya Miyazaki
Keyword(s):  
Muscle Strength ◽  
Muscle Mass ◽  
Ultrasound Imaging ◽  
Bioelectrical Impedance Analysis ◽  
Muscle Thickness ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Trunk Muscle ◽  
Trunk Muscles ◽  
Trunk Muscle Strength

BACKGROUND: Although trunk muscles are involved in many important functions, evaluating trunk muscle strength is not an easy task. If trunk muscle mass and thickness could be used as indicators of trunk muscle strength, the burden of measurement would be reduced, but the relationship between trunk muscle strength and trunk muscle mass and thickness has not been clarified. OBJECTIVE: The purpose of this study was to clarify the relationship between trunk muscle strength and trunk muscle mass by bioelectrical impedance analysis and trunk muscle thickness by ultrasound imaging in healthy adults. METHODS: One hundred and twenty-one healthy university students were included in this study. Trunk flexion/extension muscle strength and trunk muscle mass by bioelectrical impedance analysis, and trunk muscle thickness by ultrasound imaging were measured. RESULTS: Both trunk flexion strength and trunk extension strength were significantly correlated with trunk muscle mass and oblique and rectus abdominis muscle thickness. Multiple regression analysis showed that trunk extension muscle strength had an independent relationship with trunk muscle mass. CONCLUSIONS: This study demonstrated that trunk muscle mass or trunk muscle thickness can be used as an alternative means for evaluating trunk muscle strength, making the evaluation of trunk muscles less burdensome.

Predicting composition of leg sections with anthropometry and bioelectrical impedance analysis, using magnetic resonance imaging as reference

1999 ◽  
Vol 96 (6) ◽  
pp. 647-657 ◽  
Author(s):  
N. J. FULLER ◽  
C. R. HARDINGHAM ◽  
M. GRAVES ◽  
N. SCREATON ◽  
A. K. DIXON ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
Coefficient Of Variation ◽  
Lower Limb ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Tissue Composition ◽  
Resonance Imaging

Magnetic resonance imaging (MRI) was used to evaluate and compare with anthropometry a fundamental bioelectrical impedance analysis (BIA) method for predicting muscle and adipose tissue composition in the lower limb. Healthy volunteers (eight men and eight women), aged 41 to 62 years, with mean (S.D.) body mass indices of 28.6 (5.4) kg/m2 and 25.1 (5.4) kg/m2 respectively, were subjected to MRI leg scans, from which 20-cm sections of thigh and 10-cm sections of lower leg (calf) were analysed for muscle and adipose tissue content, using specifically developed software. Muscle and adipose tissue were also predicted from anthropometric measurements of circumferences and skinfold thicknesses, and by use of fundamental BIA equations involving section impedance at 50 kHz and tissue-specific resistivities. Anthropometric assessments of circumferences, cross-sectional areas and volumes for total constituent tissues matched closely MRI estimates. Muscle volume was substantially overestimated (bias: thigh, -40%; calf, -18%) and adipose tissue underestimated (bias: thigh, 43%; calf, 8%) by anthropometry, in contrast to generally better predictions by the fundamental BIA approach for muscle (bias: thigh, -12%; calf, 5%) and adipose tissue (bias: thigh, 17%; calf, -28%). However, both methods demonstrated considerable individual variability (95% limits of agreement 20–77%). In general, there was similar reproducibility for anthropometric and fundamental BIA methods in the thigh (inter-observer residual coefficient of variation for muscle 3.5% versus 3.8%), but the latter was better in the calf (inter-observer residual coefficient of variation for muscle 8.2% versus 4.5%). This study suggests that the fundamental BIA method has advantages over anthropometry for measuring lower limb tissue composition in healthy individuals.

Sign in / Sign up

Export Citation Format

Share Document