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Obesity and metabolism

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Agreement of body adiposity index (BAI), bioimpedance analysis and ultrasound scanning in determining body fat

https://doi.org/10.14341/omet12992

Abstract

BACKGROUND: The steadily increasing number of people with obesity requires the development of simple and accurate methodological approaches to assess the absolute and relative amount of body fat mass. The body adiposity index (BAI) is one of the indices proposed to assess the body fat percentage. However, the comparison analysis of common methods, i.e., of bio-electrical impedance analysis and ultrasound scanning, and BAI was not performed for the Russian population.

AIM: Comparison analysis of the body fat percentage estimates by bio-electrical impedance analysis, ultrasound scanning, and body adiposity index in the group of adult male and females.

MATERIALS AND METHODS: An examination of healthy males and females from Moscow was conducted. Height, weight, waist and hip circumferences were measured. The body fat percentage was obtained by bio-electrical impedance analysis — BIA (ABC-02 Medas), ultrasound scanning — US (BodyMetrixTM, IntelaMetrix), and body adiposity index.

RESULTS: 263 females and 134 males aged 18 to 73 years participated in the study. Correlation coefficients between BAI values and the body fat percentage obtained by BIA and US were 0.749 and 0.763 (p<0.000), respectively. Comparison of body fat percentage measurements obtained by BAI, BIA and US showed the low agreement (ССС<0.90) between BAI and other methods in pooled sample as well as in the female and male groups. Comparison of the US and BAI methods revealed higher level of agreement (ССС=0.84 [0.80–0.86]) and no systematic bias. Lower level of agreement was obtained in the group of males.

CONCLUSION: Conducted study allows to conclude that, at the individual level, BAI is not an appropriate method for estimating the body fat percentage relatively to other indirect methods. However, all three methods can be used in the group of pooled males and females when testing at the population level.

About the Authors

E. A. Bondareva
Lopukhin Federal research and clinical center of physical-chemical medicine, Federal medical biological agency
Russian Federation

Elvira A. Bondareva, PhD in biology

Moscow

 



O. I. Parfenteva
Lomonosov Moscow State University
Russian Federation

Olga I. Parfenteva, PhD in biology

Moscow

 



A. A. Vasileva
Lomonosov Moscow State University
Russian Federation

Aleksandra A. Vasilieva

Moscow

 



N. A. Kulemin
Lopukhin Federal research and clinical center of physical-chemical medicine, Federal medical biological agency
Russian Federation

Nikolay A. Kulemin, PhD

Moscow

 



A. N. Gadzhiakhmedova
First Moscow State Medical University (Sechenov University)
Russian Federation

Aida N. Gadzhiakhmedova

Moscow

 



O. N. Kovaleva
First Moscow State Medical University (Sechenov University)
Russian Federation

Olga N. Kovaleva, PhD in biology

Moscow

 



B. A. Sultanova
Endocrinology Research Centre
Russian Federation

Begimay A. Sultanova, postgraduate student

Moscow

 



N. V. Mazurina
Endocrinology Research Centre
Russian Federation

Natalya V. Mazurina, MD, PhD

Moscow

 



E. A. Troshina
Endocrinology Research Centre
Russian Federation

Ekaterina A. Troshina, MD, PhD, Professor

Moscow

 



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Supplementary files

1. Figure 1. Gardner-Altman plots for %BF calculated from the results of BIA, ultrasound and BAI in subgroups of women and men, as well as in subgroups by BMI value. Note. Paired mean difference — effect size for paired samples. Sex — gender, F — women, M — men. BF -%BF. WHO_group — nutritional status of the examined according to the WHO classification
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2. Figure 2. Bland-Altman plots for pairs of %BF values calculated from the results of BIA, ultrasound and BAI. The gray area is the 95% CI bounds for the concordance bounds. The central dotted line is the bias. Note. BAI — body adiposity index
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3. Figure 3. Passing-Bablok regression for pairs of %BF values, in subgroups of men and women. The red line is the line of perfect agreement (CCC = 1), the dotted lines are predictive intervals, the black solid line is the regression line
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Review

For citations:


Bondareva E.A., Parfenteva O.I., Vasileva A.A., Kulemin N.A., Gadzhiakhmedova A.N., Kovaleva O.N., Sultanova B.A., Mazurina N.V., Troshina E.A. Agreement of body adiposity index (BAI), bioimpedance analysis and ultrasound scanning in determining body fat. Obesity and metabolism. 2023;20(1):13-21. (In Russ.) https://doi.org/10.14341/omet12992

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ISSN 2071-8713 (Print)
ISSN 2306-5524 (Online)