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

  • Research Article
  • Published:
Central European Journal of Biology

Abstract

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.

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References

  1. Matiegka J., The testing of physical efficiency, Am. J. Phys. Anthropol., 1921, 4, 223–230

    Article  Google Scholar 

  2. Ross R., Shaw K.D., Rissanen J., Martel Y., de Guise J., Avruch L., Sex differences in lean and adipose tissue distribution by magnetic resonance imaging: anthropometric relationships, Am. J. Clin. Nutr., 1993, 59, 1277–1285

    Google Scholar 

  3. Roland-Cachera M.F., Brambilla P., Manzoni P., Akrout M., Sironi S., Del Maselio A., et al., Body composition assessed on the basis of arm circumference and triceps skinfold thickness: a new index validated in children by magnetic resonance imaging, Am. J. Clin. Nut. R., 1997, 65, 1709–1713

    Google Scholar 

  4. Piccoli A., Rossi B., Pillont L., Bucciante G., A new method for monitoring body fluid variation by bioempedance analysis: The RXc graph, Kidney Int., 1994, 46, 534–539

    Article  PubMed  CAS  Google Scholar 

  5. Piccoli A., Pillon L., Dumler F., Impedance vector distibution by sex, race, body mass index, and age in the United States: standdard reference intervals as bivatiate Z scores, Nutrition, 2002, 18, 153–167

    Article  PubMed  Google Scholar 

  6. Piccoli A., Pastori G., BIVA software, Department of Medical and Surgical Sciences, University of Padova, Italy, 2002

    Google Scholar 

  7. Barbosa-Silva M.C., Baross A.J., Bioelectrical impedance analysis in clinical practice: a new perspective on its use beyond body composition equations, Curr. Opin. Clin. Nutr. Metab. Care, 2005, 8, 311–317

    Article  PubMed  Google Scholar 

  8. Piccoli A., Bioelectrical impedance vector distribution in peritoneal dialysis patients with different hydration status, Kidney Int., 2004, 65, 1050–1063

    Article  PubMed  Google Scholar 

  9. Nescolarde L., Piccoli A., Roman A., Nunez A., Morales R., Tamayo J., et al., Bioelectrical impedance vector analysis in haemodialysis patients: relation between oedema and mortality, Physiol. Meas., 2004, 25, 1271–1280

    Article  PubMed  CAS  Google Scholar 

  10. Walter-Kroker A., Kroker A., Mattiucci-Guehlke M., Glaab T., A practical guide to bioelectrical impedance analysis using the example of chronic obstructive pulmonary disease, Nutr. J., 2011, 10, 35–43

    Article  PubMed  Google Scholar 

  11. Marini E., Buffa R., Saraga, B., Toffanello E.D., Berton L., Manzato E., et al., The potential of classic and speciffic bioelectrical impedance vector analysis for the assessment of sarcopenia and sarcopenic obesity, Clin. Interv. Aging, 2012, 7, 585–591

    Article  PubMed  Google Scholar 

  12. Buffa R., Mereu R.M., Putzu P.F., Floris G., Marin E., Bioelectrical impedance vector analysis detects low body cell mass and dehydratation in patients with Alzheimer’s disease, J. Nutr. Health Aging, 2010, 14, 823–827

    Article  PubMed  CAS  Google Scholar 

  13. Norman K., Stobaeus N., Pirlich M., Bosy-Westphal A., Bioelectrical phase angle and impedance vector analysis — Clinical relevance and applicability of impedance parameters, Clin. Nutr., 2012, 31, 854–861

    Article  PubMed  Google Scholar 

  14. Durrieu G., Llau M.E., Rascol O., Senard J.M., Rascol A., Montastruc J.L., Parkinson’s disease and weight loss: a study with antropometric and nutricional assessment, Clin. Autonomic. Res., 1992, 2, 152–157

    Article  Google Scholar 

  15. Beyer P.L., Palarino M.Y., Michalek D., Busenbark K., Koller W.C., Weight change and body composition in patients with Parkinson’s disease, J. Am. Diet. Assoc., 1995, 95, 979–983

    Article  PubMed  CAS  Google Scholar 

  16. Kushner R.F., Bioelectrical impedance analysis: a review of principles and applications, Am. Coll. Nutr., 1992, 11, 199–209

    CAS  Google Scholar 

  17. Talluri T., Quantitative human body composition analysis assessed with bioelectrical impedance, Coll. Antropol., 1998, 22,2, 427–432

    PubMed  CAS  Google Scholar 

  18. Kyle U.G., Bosaeus J., De Lorenzo A.D., Deurenberg P., Elia M., Goméz J.M., et al., Bioelectrical impedance analysis — part I: review of principles and methods, Clin. Nutr., 2004, 23, 1226–1243

    Article  PubMed  Google Scholar 

  19. Bosy-Westphal A., Danielzik S., Dörhöfer R.P., Piccoli A., Müller M.J., Patterns of bioelectrical impedance vector distribution by body mass index and age: implications for body-composition analysis, Am. J. Clin. Nutr., 2005, 82, 60–68

    PubMed  CAS  Google Scholar 

  20. Marsden C.D., Parkinon’s disease, J. Neurol. Psychiatry, 1994, 57, 672–681

    Article  CAS  Google Scholar 

  21. Pfeiffer R.F., Gastrointestinal dysfunction in Parkinson’s disease, Lancet Neurol., 2003, 2, 107–116

    Article  PubMed  Google Scholar 

  22. Wang G., Wan Y., Cheng Q., Xiao Q., Wang Y., Zhang J., et al., Malnutrition and associated factors in Chinese patients with Parkinson’s disease: Results from a pilot investigation, J. Parkinsonism Relat. Disord., 2010, 16, 119–123

    Article  Google Scholar 

  23. Kyle U.G., Bosaeus J., De Lorenzo A.D., Deurenberg P., Elia M., Goméz J.M., et al., Bioelectrical impedance analysis — part II: utilization in clinical practise, Clin. Nutr., 2004, 23, 1430–1453

    Article  PubMed  Google Scholar 

  24. Toso S., Piccoli A., Gusella M., Menon D., Bononi A., Crepaldi G., et al., Altered tissue electric properties in lung cancer patients as detected by Bioelectric Impedance Vector Analysis, Nutrition, 2000, 16, 120–124

    Article  PubMed  CAS  Google Scholar 

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Authors and Affiliations

  1. Department of Anthropology, Faculty of Natural Sciences, Comenius University, 842 15, Bratislava, Slovak Republic

    Daniela Siváková, Diana Vondrová, Marta Cvíčelová, Zuzana Danková & Lenka Luptáková

  2. Department of Neurology, Faculty of Medicine, Comenius University, 833 05, Bratislava, Slovak Republic

    Peter Valkovič

Authors
  1. Daniela Siváková
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  2. Diana Vondrová
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  3. Peter Valkovič
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  4. Marta Cvíčelová
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  5. Zuzana Danková
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  6. Lenka Luptáková
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Correspondence to Daniela Siváková.

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Siváková, D., Vondrová, D., Valkovič, P. et al. Bioelectrical Impedance Vector Analysis (BIVA) in Slovak population: application in a clinical sample. cent.eur.j.biol. 8, 1094–1101 (2013). https://doi.org/10.2478/s11535-013-0216-7

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  • DOI: https://doi.org/10.2478/s11535-013-0216-7

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