Bioelectrical Impedance Vector Analysis (BIVA) in Slovak population: application in a clinical sample

• Published in: Central European journal of biology Vol. 8; no. 11; pp. 1094 - 1101
• Main Authors: Siváková, Daniela, Vondrová, Diana, Valkovič, Peter, Cvíčelová, Marta, Danková, Zuzana, Luptáková, Lenka
• Format: Journal Article
• Language: English
• Published: Vienna Springer-Verlag 01.11.2013; Springer Vienna; Versita; De Gruyter
• Subjects: Biochemistry; Bioelectric impedance; bioelectrical impedance; Biomedical and Life Sciences; Biotechnology; body composition; Cell Biology; clinical trials; females; Human Genetics; Immunology; Life Sciences; males; Parkinson’s disease; patients; Reactance; Research Article; Resistance; Resistance; Reactance; Bioelectric impedance; Parkinson’s disease
• ISSN: 1895-104X; 2391-5412; 1644-3632; 2391-5412
• DOI: 10.2478/s11535-013-0216-7

The purpose of this study is to provide new data on body composition in the Slovak population, particularly impedance vector components according to sex and age, relevant for bioelectrical impedance vector analysis (BIVA) in a clinical sample. The reference sample consisted of 1543 apparently healthy individuals (1007 females and 536 males), aged from 18 to 92 years and of 60 patients with Parkinson’s disease (PD) (26 females and 34 males), aged from 40 to 81 years. Bioelectrical parameters of resistance (R) and reactance (Xc) were measured with a monofrequency analyser (BIA 101). BIVA was used to analyse tissue electric properties in control subjects and patients with PD. The mean vector position differed significantly between PD patients and healthy controls in males of age subgroups 60–69 years and 70–79 years, respectively. These results were conterminous with significant Hotelling’s T²-test; 60–69 y T²=7.8, P=0.024 and 70–79 y T²=7.6, P=0.026. In the RXc-score graph three patients had values outside the 95% ellipse. Altered tissue electric properties were present in 23.5% of males and 15.4% of females. Distribution of impedance vector components in different age categories of healthy Slovak subjects are relevant to comparative population studies and to clinical practice.