No differences in the body fat after violating core bioelectrical impedance measurement assumptions

2020 ◽  
Author(s):  
Arshdeep Randhawa ◽  
Veronica Jamnik ◽  
Michael Fung ◽  
Adam Fogel ◽  
Jennifer L. Kuk

Abstract Objective: It is unclear to what degree acutely violating bioelectrical impedance analysis (BIA) measurement assumptions will alter the predicted percent fat mass (%FM) and whether this differs by sex or body mass index (BMI). Methods: %FM was assessed under control, dehydration, exercise, water, meal intake and non-voided bladder conditions with three BIA devices (Tanita: BC-418, TBF-314, & Omron HBF-306CN) (n=40). Results: For all BIA devices, there were no differences in the %FM values between the control and the other conditions in men or women (-1.9 to 0.4%, p >0.05). Across the three devices and five conditions, 97% of %FM tests returned values within 5% of control (2 tests), and 86% of tests were within 2% of control despite violating an assumption. The errors were greatest with dehydration and females were more likely to have a %FM difference greater than 2% than males with dehydration using the hand-to-foot device (Tanita TBF-314: 59% versus 9%). There were no differences in %FM between control and the conditions when examined by BMI category (overweight: -2.8 to 0.1% and normal weight: -1.7 to 0.5%; BMI*trial, p=0.99). Conclusion: %FM estimates were similar despite acutely violating the preliminary measurement BIA assumptions across a range of different BMIs. The minor variations in %FM are smaller than what would be expected with day-to-day variability or weight loss intervention, but may be larger in women than men.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Arshdeep K. Randhawa ◽  
Veronica Jamnik ◽  
Michael D. T. Fung ◽  
Adam S. Fogel ◽  
Jennifer L. Kuk

Abstract Objective It is unclear to what degree acutely violating bioelectrical impedance analysis (BIA) measurement assumptions will alter the predicted percent fat mass (%FM) and whether this differs by sex or body mass index (BMI). Methods %FM was assessed under control, dehydration, exercise, water, food intake and non-voided bladder conditions with three BIA devices (Tanita: BC-418, TBF-314, & Omron HBF-306CN) for men (n = 23, age: 24.0 ± 5.2 years old) and women (n = 17, age: 22.5 ± 3.4 years old) separately. Results For all BIA devices, there were no differences in the %FM values between the control and the other conditions in men or women (− 1.9 to 0.4%, p > 0.05). Across the three devices and five conditions, 97% of %FM tests returned values within 5% of control (2 tests), and 86% of tests were within 2% of control despite violating an assumption. The errors were greatest with dehydration and women were more likely to have a %FM difference greater than 2% than men with dehydration using the hand-to-foot device (Tanita TBF-314: 59% versus 9%). There were no differences in %FM between control and the conditions when examined by BMI (overweight/obesity: − 2.8 to 0.1% and normal weight: − 1.7 to 0.5%; BMI*trial, p = 0.99). Conclusion %FM estimates were similar despite acutely violating the preliminary measurement BIA assumptions across a range of different BMIs. The minor variations in %FM are smaller than what would be expected with day-to-day variability or weight loss intervention but may be larger in women than men.


2002 ◽  
Vol 140 (6) ◽  
pp. 681-687 ◽  
Author(s):  
Dorothy J. VanderJagt ◽  
Paul Harmatz ◽  
Ajovi B. Scott-Emuakpor ◽  
Elliot Vichinsky ◽  
Robert H. Glew

1992 ◽  
Vol 79 (5) ◽  
pp. 421-423 ◽  
Author(s):  
K. C. H. Fearon ◽  
R. A. Richardson ◽  
J. Hannan ◽  
S. Cowan ◽  
W. Watson ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Kathrin Heine ◽  
Viktoria Kichmann ◽  
Miriam K. von Kuhlberg ◽  
Ingrid Vervuert ◽  
Lisa Bachmann ◽  
...  

This study analyzed skeletal development, body condition, and total body fat development of growing heifers. A total of 144 female primiparous Holstein cattle from four commercial dairy farms with different degrees of stillbirth rates were examined during the rearing period. This included measurements in body condition, fat tissue, metabolic, and endocrine factors. Pelvic measurements and the sacrum height were analyzed to assess skeletal development. The body condition was classified via body condition scoring, bioelectrical impedance analysis (BIA), back fat thickness measurements, and the body mass. For the first time, BIA was used as an appropriate method to evaluate the fat tissue content of cattle throughout the rearing period. This analysis technique can be performed on heifers aged 8–15 months. Throughout that period, the fat content decreased while the skeletal development increased. In addition, high free fatty acid concentrations in serum of the animals with high frame development were found, supporting our hypothesis that stored energy of body fat deposits is used for skeletal growth. Furthermore, we were able to demonstrate complex endocrine relationships between fat metabolism and skeletal growth by using specific markers, such as leptin, insulin growth factor-1 (IGF-1), and estradiol (E2). Food analysis showed high crude protein (CP) levels in the total mixed ration above recommendation for daily protein intake of all farms. However, there was a positive correlation between CP and the body frame measurements in our study. In summary, we established a novel regression formula for BIA analysis (“BIA-Heine”) in heifers to evaluate the body composition throughout different ages and physiological stages in the development of heifers. This special formula allows the evaluation of fat tissue without a whole-body analysis and therefore provides an innovative technique for animal welfare support.


2020 ◽  
Vol 68 (1) ◽  
Author(s):  
Viktor Németh

This paper presents and compare the scopes of the body component measurement methods and techniques currently in use. Next to the best known and widespread Adolphe Quetelet's Body Mass Index, ‘New Body Mass Index’ created by Prof. Trfethen. Moreover, it presents and compares the bioelectrical impedance analysis and the Electrical Impedance Myographs methods, too. This article aims to go through one by one the body component measurement methods, and to compare the most important feature of them, for a better understanding of their usability.


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