ORIGINAL RESEARCH

Association of local bioimpedance analysis of the abdominal region with morphological and biochemical traits

Bondareva EA1, Leonov GE1, Parfenteva OI1, Arutiunian AA2, Bevziuk NA2, Kovaleva ON2, Gadzhiakhmedova AN1, Shemyakov SE2, Kulemin NA1
About authors

1 Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of the Federal Medical Biological Agency, Moscow, Russia

2 Pirogov Russian National Research Medical University, Moscow, Russia

Correspondence should be addressed: Elvira A. Bondareva
Malaya Pirogovskaya, 1а, Moscow, 119453, Russia; moc.liamg@e.averadnob

About paper

Funding: the study was supported by the Russian Science Foundation (RSF grant No. 22-75-10122).

Author contribution: Bondareva EA — study design, statistical analysis, manuscript writing; Leonov GE — conducting BIA; Parfenteva OI, Gadzhiakhmedova AN — ultrasound scan, statistical analysis; Arutiunian AA, Kovaleva ON, Bevziuk NA — anthropometric measurements, BIA, ultrasound scan; Shemyakov SE — literature review, manuscript writing; Kulemin NA — manuscript writing.

Compliance with ethical standards: the study was approved by the Ethics Committee of the Lopukhin Federal Research and Clinical Center of PhysicalChemical Medicine of FMBA of Russia (protocol No. 2022/12/06 dated 06 December 2022). All the examined individuals submitted the informed consent to participation in the study.

Received: 2024-05-31 Accepted: 2024-07-21 Published online: 2024-08-07
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Fig. 1. А. Electode placement scheme in the local BIA lead (АВС-02 Medas) for assessment of subcutaneous fat in the abdominal region. B. Measuring the subcutaneous fat thickness near the umbilicus with the BodyMetrix BX2000 ultrasound scanner
Fig. 2. Correlations of the complex of studied traits. SH — standing height, BW — body weight, WC — waist circumference, HC — hip circumference, SFL1 — subcutaneous fat thickness near the umbilicus, SFL2 — subcutaneous fat thickness in the suprailiac skinfold region. The statistically significant correlations only are shown
Fig. 3. ROC analysis of the values of local impedance in the abdominal region (Z50sc) in the subgroups by sex, fact of having abdominal obesity, fact of having obesity based on body fat percentage, and the fact of having insulin resistance based on the HOMA-IR index
Fig. 4. Distribution of Z50sc values in subgroups of the surveyed sample formed in ascending order of BMI and PBF. UW — underweight; NWNO — normal body weight and PBF; NW_O — obesity with normal body weight; OWNO — excess body weight based on BMI and normal PBF value; OWO — excess body weight based on BMI and obesity based on PBF; OB — obesity based on BMI and PBF. Dashed horizontal line — average Z50м value for the surveyed sample. * — p < 0.05; * * — p < 0.01; * * * * — p < 0.0001; ns — p ≥ 0.05
Fig. 5. Spearman’s rank correlation coefficients and their 95% CI for the pairs of studied traits. PBF — body fat percentage, WC — waist circumference, Z50sc — impedance in the local lead, BMI — body mass index, Ins — insulin (µIU/mL), SFL1 — subcutaneous fat thickness near the umbilicus, SFL2 — subcutaneous fat thickness above the iliac crest, WHtR — waist-to-height ratio
Table 1. Traits, for which significant sex-related differences were reported
Table 2. Comparative analysis of Z50sc in various subgroups of the assessed sample
Note: the ϵ2 measure was used as the effect size for BMI, dC was used as the effect size for other parameters; IR — insulin resistance (HOMA-IR > 2.7)