Bioelectrical impedance analysis and anthropometry for the determination of body composition in rats: effects of high-fat and high-sucrose diets

Abstract

OBJECTIVE: The aim of the present study was to determine the impedance of Wistar rats treated with high-fat and high-sucrose diets and correlate their biochemical and anthropometric parameters with chemical analysis of the carcass. METHODS: Twenty-four male Wistar rats were fed a standard (AIN-93), high-fat (50% fat) or high-sucrose (59% of sucrose) diet for 4 weeks. Abdominal and thoracic circumference and body length were measured. Bioelectrical impedance analysis was used to determine resistance and reactance. Final body composition was determined by chemical analysis. RESULTS: Higher fat intake led to a high percentage of liver fat and cholesterol and low total body water in the High-Fat group, but these changes in the biochemical profile were not reflected by the anthropometric measurements or bioelectrical impedance analysis variables. Anthropometric and bioelectrical impedance analysis changes were not observed in the High-Sucrose group. However, a positive association was found between body fat and three anthropometric variables: body mass index, Lee index and abdominal circumference. CONCLUSION: Bioelectrical impedance analysis did not prove to be sensitive for detecting changes in body composition, but body mass index, Lee index and abdominal circumference can be used for estimating the body composition of rats.

<b>Use of murinometrics indices and bioelectrical impedance (BIA) in the determination of experimental obesity in oophorectomized rats

“…These analyses show that BIA obtained a greater effect size and a smaller possibility of error in hypothesis testing in relation to BMI and Lee index. Angéloco et al (2012) failed to validate BIA as a co-equal method for chemical fractionation as a direct method, since they disregarded the distance between the electrodes in the prediction of FFM and Fat Mass contemplated by Cornish et al (1992), Ilagan et al (1993) and Rutter et al (1998), and successfully applied in our study. Our results also corroborated the capability in detecting changes in body composition by BIA, as already described by Skalicky, Narath, and Viidik (2001) and Narath, Skalicky, and Viidik (2001), who also considered the distance between the electrodes.…”

“…Bioelectric techniques have been proposed as low cost and less invasive indirect methods for assessing more precisely body composition in experimental animals (Angéloco et al, 2012;Hall, Lukaski, & Marchello, 1989;Rutter, Hennoste, Ward, Cornish, & Thomas, 1998), as well as several indices, which, in this case, are called murinometric (from Latin murinae -rodent and Greek metri -measure). These indices are methodologically similar to anthropometric measures in the human body and are very discussed in relation to their efficiency in defining the framework of obesity in rats (Dahms & Glass, 1982;Simson & Gold, 1982).…”

Effects of Obesity and Diabetes on Sperm Cell Proteomics in Rats

“…In the present study, the total dietary time was 37 weeks, which differs from the aforementioned literature in which rats were treated for 8 weeks, 12 weeks, and 15 weeks . In addition, the Lee index in rats is similar to the body mass index (BMI) in humans, although BMI is more sensitive since the parameters considered are different. , …”

“…Next, the nasoanal length was measured, and the final body weight was measured to calculate the Lee index using the formula , where IBW represents the initial body weight (g), FBW represents the final body weight (g), and NAL represents the nasoanal length (cm) . In rats, the Lee index is equivalent to the body mass index (BMI) in humans …”

Suplementação Com Amêndoa De Bacuri Na Composição Corporal De Ratos Submetidos Ao Exercício

“…Porém, no presente estudo, todos os grupos iniciaram o protocolo de treinamento e suplementação proteica com valores próximos a 0,6 aumentando para 0,8. Para Angéloco et al 28 , o IMC pode estimar de forma confiável a gordura corporal em rato, sendo diretamente proporcional ao seu crescimento, já o índice de Lee é considerado menos sensível, pois animais com elevada quantidade de massa muscular podem apresentar elevado índice de Lee mesmo que a gordura corporal não seja excessiva [19][20][21] .…”