Effectiveness of thigh-to-thigh current path for the measurement of abdominal fat in bioelectrical impedance analysis

2009 ◽  
Vol 47 (12) ◽  
pp. 1265-1271 ◽  
Author(s):  
Ki Hwan Hong ◽  
Yong Gyu Lim ◽  
Kwang Suk Park
2020 ◽  
Author(s):  
Bingwei Ma ◽  
Xingchun Wang ◽  
Lei Du ◽  
Shilin Wang ◽  
Huihui Ma ◽  
...  

Abstract Background: The aim of this study was to identify the association between obstructive sleep apnea syndrome (OSAS) and abdominal fat distribution in obese individuals.Methods: A total of 94 obese patients were enrolled in the study from January 2018 to July 2020. Demographic data were collected. OSAS was diagnosed based on the results of overnight polysomnography, and the abdominal fat distribution was measured by bioelectrical impedance analysis (BIA). Univariate and multivariate logistic regression analyses were used to investigate the association between OSAS and the distribution of abdominal fat. Results: 1) The mean age (SD) of the patients included in this study was 32.44 (11.81) years and the majority were women (62.77%). The overall incidence rate of OSAS was 51.06%, and 24 (25.53%) patients had mild OSAS, 10 (10.64%) had moderate OSAS, and 14 (14.89%) had severe OSAS. 2) The incidence of OSAS among men was higher than in women (62.86% vs. 44.07%). The apnea hypopnea index (AHI) of men was significantly higher than that of women (5.50, interquartile range [IQR] 3.80-30.6 vs. 4.2, IQR 1.4-12 events/hour, P=0.014). Additionally, men had a significantly higher visceral fat area (180.29±51.64 vs. 143.88±53.42 cm2, P=0.002). 3) Patients with OSAS had a significantly higher visceral fat area than patients without OSAS (178.28±59.89 vs. 135.68±40.58 cm2, P=0.013). Multivariate analysis demonstrated that abdominal fat area and fasting plasma glucose were independent risk factors for OSAS (odds ratio, 1.016; 95% confidence interval, 1.005-1,026, P=0.005; odds ratio, 1.618; 95% confidence interval, 1.149-2.278, P=0.006). Conclusions: In obese patients, the abdominal visceral adipose deposit was an independent risk factor for OSAS. Therefore, improving the distribution of abdominal fat may contribute to alleviating the severity of OSAS.


2021 ◽  
Vol 6 (4) ◽  
pp. S52
Author(s):  
D. BASNAYAKE ◽  
A. Nayanamali ◽  
H. Amarathunga ◽  
N. Erandika ◽  
J. Pathiraja ◽  
...  

1999 ◽  
Vol 19 (8) ◽  
pp. 1179-1188 ◽  
Author(s):  
Sufia Islam ◽  
Iqbal Kabir ◽  
Mohammad A. Wahed ◽  
Michael I. Goran ◽  
Dilip Mahalanabis ◽  
...  

2021 ◽  
pp. 1-10
Author(s):  
Ryo Miyachi ◽  
Nana Koike ◽  
Suzu Kodama ◽  
Junya Miyazaki

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.


2021 ◽  
Author(s):  
David J. Hanna ◽  
Scott T. Jamieson ◽  
Christine S. Lee ◽  
Christopher A. Pluskota ◽  
Nicole J. Bressler ◽  
...  

1999 ◽  
Vol 96 (6) ◽  
pp. 647-657 ◽  
Author(s):  
N. J. FULLER ◽  
C. R. HARDINGHAM ◽  
M. GRAVES ◽  
N. SCREATON ◽  
A. K. DIXON ◽  
...  

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.


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