scholarly journals Development of Subcutaneous Fat Thickness Meter Based on Bioelectrical Impedance Analysis

2009 ◽  
Vol 33 (4) ◽  
pp. 271-276
Author(s):  
Kouichiro MURAKAMI ◽  
Takanori UCHIYAMA
Keyword(s):  
Bioelectrical Impedance Analysis ◽  
Subcutaneous Fat ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Subcutaneous Fat Thickness ◽  
Fat Thickness ◽  
Thickness Meter

Estimation of body composition changes during weight cycling by bioelectrical impedance analysis in rats

1993 ◽  
Vol 74 (5) ◽  
pp. 2092-2098 ◽  
Author(s):  
J. Ilagan ◽  
V. Bhutani ◽  
P. Archer ◽  
P. K. Lin ◽  
K. L. Jen
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Bioelectrical Impedance Analysis ◽  
Subcutaneous Fat ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Weight Cycling ◽  
High Fat ◽  
Ad Libitum ◽  
Ad Libitum Feeding

The effects of body weight cycling (WC) in rats on body composition (BC) and feeding efficiency were studied. The usefulness of estimating BC by bioelectrical impedance analysis (BIA) was also examined. Female Sprague-Dawley rats were divided into high-fat ad libitum feeding, either noncycling or cycling, or restricted feeding (75% of control feed) cycling groups. Control rats were fed a regular laboratory ad libitum diet and did not cycle. All rats were killed at the end of week 61. A BIA unit was used at each stage of WC to obtain resistance and reactance readings. Final BC was determined by chemical analysis. On the basis of the final chemical analysis and BIA measurements, an equation was established and applied to estimate BC at each stage of WC: fat-free mass (g) = 0.38 x body wt (g) + 13.8 x [length (cm)2/resistance] + 70.9 (r = 0.95, P < 0.001). High-fat ad libitum feeding induced rapid body weight and fat gains as well as an elevated feeding efficiency and an internal fat-to-subcutaneous fat ratio, regardless of whether the rats cycled. This change in fat mass was clearly detected by the BIA. Although rats fed restricted diets had similar body weights as did control rats, they had a significantly higher internal fat-to-subcutaneous fat ratio. Thus, not only the amount of food but also the composition of the diet is important for proper weight management. The BIA method is capable of detecting the body fat mass change during WC.

scholarly journals Anisotropic bioelectrical impedance determination of subcutaneous fat thickness

2014 ◽  
Author(s):  
P. A. I. Hernández-Becerra ◽  
I. Delgadillo-Holtfort ◽  
M. Balleza-Ordaz ◽  
M. R. Huerta-Franco ◽  
M. Vargas-Luna
Keyword(s):  
Subcutaneous Fat ◽  
Bioelectrical Impedance ◽  
Subcutaneous Fat Thickness ◽  
Fat Thickness

The prediction of ham composition by bioelectrical impedance analysis

2013 ◽  
Vol 53 (10) ◽  
pp. 1119
Author(s):  
A. Mateos ◽  
C. J. López-Bote ◽  
I. Ovejero ◽  
M. A. Latorre ◽  
A. Daza
Keyword(s):  
Linear Regression ◽  
Bioelectrical Impedance Analysis ◽  
Subcutaneous Fat ◽  
Inverse Function ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Regression Equations ◽  
Intermuscular Fat ◽  
Total Fat ◽  
Predicted Values

The objective of this preliminary experiment was to study whether bioelectrical impedance analysis (BIA) can accurately predict the components of fresh pig hams. The trimmed right hams from 20 Iberian barrows were used. Six measures of resistance and reactance were taken by a bioelectrical impedance analyser. Simple and multiple regression equations were calculated for estimating bone, lean, intermuscular fat (IF), subcutaneous fat (SF), total fat (TF) and skin weights and percentages with respect to ham weight (HW). The HW accounted for 22% (P < 0.05) and 35% (P < 0.01) in the variations in lean and skin percentages, respectively. The ham compactness index (HCI), calculated as HW (in g)/(ham length, in cm)2, accounted for 20% (P < 0.05) and 38% (P < 0.01) in the variations in SF and TF percentages, respectively. The HW and BIA variables accounted for 60% (P < 0.001) of the variation in skin percentage; the HCI and BIA measures accounted for 79% (P < 0.0001), 66% (P < 0.001) and 78% (P < 0.0001) of the variation in lean, IF and SF percentages; and BIA variables accounted for 72% (P < 0.0001) of the variation in bone percentage. To determine the accuracy of the calculated regression equations, five additional trimmed fresh hams from Iberian barrows were used. Actual and predicted values were compared. The HW accurately predicted lean weight and skin percentage in linear regression equations, and HCI adequately predicted SF and TF weights in simple linear regression equations, and also SF percentage in inverse function. The additional inclusion of HW, HCI or BIA variables in the regression models did not improve the accuracy of the equations. It is concluded that BIA might be applied to predict the components of fresh hams but more studies are needed to determine whether levels of accuracy and precision are sufficient for this method to be used in practice.

Correlates of visceral and subcutaneous fat thickness in non-diabetic obese and morbidly obese patients

2014 ◽  
Author(s):  
Ozen Oz Gul ◽  
Murat Pekgoz ◽  
Sumeyye Gullulu ◽  
Soner Cander ◽  
Ahmet Tutuncu ◽  
...  
Keyword(s):  
Subcutaneous Fat ◽  
Morbidly Obese ◽  
Obese Patients ◽  
Subcutaneous Fat Thickness ◽  
Fat Thickness

The Use of Ultrasonic Measurements on Subcutaneous Fat Thickness in Breeding of Japanese Shorthorn Cattle

1988 ◽  
Vol 59 (4) ◽  
pp. 335-343
Author(s):  
Yoshitaka NAGAMINE ◽  
Takashi HAYASHI ◽  
Hiroshi SATO ◽  
Akira NISHIDA ◽  
Shigeki KOMATSU
Keyword(s):  
Subcutaneous Fat ◽  
Ultrasonic Measurements ◽  
Subcutaneous Fat Thickness ◽  
Fat Thickness

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
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