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Central European Journal of Medicine

, Volume 8, Issue 5, pp 565–570 | Cite as

Bioelectrical impedance analysis or basic anthropometrical parameters for evaluating weight loss success?

  • Jan Hlubik
  • Hana Stritecka
  • Pavol Hlubik
Research Article
  • 81 Downloads

Abstract

Background

Overweight and obesity present risk for development of metabolic diseases. Reduction of the amount of excess fat with conservation of lean body mass is desirable in the course of reduction regime. It is possible to use the method of body impedance measurement for assessing the changes in body composition.

Method

The method of body impedance measurement — Bioelectrical Impedance Analysis — BIA was used for assessing the changes in body composition.

Results

A statistically significant body weight decrease was registered in Group A. Simultaneously, neither a significant decrease in total body fat and abdominal fat no decrease in waist circumference was registered. A significant decrease in total body fat and abdominal fat and decrease in waist circumference was registered in Group B, but there was not any significant decrease in lean body mass.

Conclusions

The research has proved the importance of targeted reducing diet while simultaneously applying aerobic exercise regime. This method leads to desirable changes in body composition, what can be proved by the BIA method.

Keywords

BMI BIA Fat-free mass (FFM) Total body water (TBW) Body fat (BF) Weight reduction 

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References

  1. [1]
    Browning LM, Mugridge O, Chatfield MD, Dixon AK, Aitken SW, Joubert I, Prentice AM, Jebb SA. Validity of a new abdominal bioelectrical impedance device to measure abdominal and visceral fat: comparison with MRI. Obesity 2010, 18:2385–2391PubMedCrossRefGoogle Scholar
  2. [2]
    Delahanty, L.M. An expanded role for dieticians in maximizing retention in nutrition and lifestyle intervention trials: implication for clinical practice. Journal of Human Nutrition and Dietetics 2010, 23(4): 336–343PubMedCrossRefGoogle Scholar
  3. [3]
    Ellis, K.J. Human body composition: In vivo methods. Physiological Reviews 2000, 80: 649–680PubMedGoogle Scholar
  4. [4]
    Ellis, K.J. Selected body composition methods can be used in field studies. Journal of Nutrition 2001, 131: 1589–1595Google Scholar
  5. [5]
    Heyward, V.H., Wagner, D.R. Applied body composition assessment — 2nd ed. Human Kinetics, 2004Google Scholar
  6. [6]
    aJanssen, I., Heymsfield, S.B., Allison, D.B., Kotler, D.P., and Ross, R. Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous and visceral fat. American Journal of Clinical Nutrition 2006,75: 683–688Google Scholar
  7. [7]
    bJanssen, I., Hudson, R., Fortier, A., Ross, R. Effect of an Energy-Restrictive Diet with or without exercise on abdominal fat, intramuscular fat and metabolic risk factors in obese women. Diabetes Care 25(3): 431–438, 2002CrossRefGoogle Scholar
  8. [8]
    Katan, M.B. Weight-loss diets for the prevention and treatment of obesity 2002. New England journal of Medicine 360:923–992Google Scholar
  9. [9]
    Kyle, U.G., Bosaeus, I., De Lorenzo, A.D., Deurenberg, P., Elia, M., Gomez, J.E., Heitmann, B.L., Kent-Smith, L., Melchior, J.C., Pirlich, M., Scharfetter, H., Schols, A.M.W.J., Composition of the ESPEN Working Group. Bioelectrical impedance analysis part I: review of principles and methods. Clinical Nutrition 2004, 23, 1226–1243PubMedCrossRefGoogle Scholar
  10. [10]
    Lukaski, H.C. Evaluation of body composition: why and how? Mediterr J Nutr Metab 2009, 2:1–10CrossRefGoogle Scholar
  11. [11]
    Ohrvall, M., Berglund, L., and Vessby, B. Sagittal abdominal diameter compared with other anthropometrical measurements in relation to cardiovascular risk. International Journal of Obesity and Related Metabolic Disorders 2000, 24: 497–501PubMedCrossRefGoogle Scholar
  12. [12]
    Peterson MJ, Czerwinski SA and Siervogel RM. Development and validation of skinfold-thickness prediction equations with a 4-compartment model. American Journal of Clinical Nutrition 2003, 77: 1186–91PubMedGoogle Scholar
  13. [13]
    Prior, B.M., Modlesky, C.M., Evans, E.M., Sloniger, M.A., Saunders, M.J., Lewis, R.D., and Cureton, K.J. Muscularity and the density of the fat-free mass in athletes. Journal of Applied Physiology 2001, 90: 1523–1531PubMedGoogle Scholar
  14. [14]
    Sampei, M.A., Novo, N.F., Juliano, Y., and Sigulem, D.M. Comparison of the body mass index to other methods of body fat evaluation in ethnic Japanese and Caucasian adolescent girls. International Journal of Obesity and Related Metabolic Disorders 2001, 25: 400–408PubMedCrossRefGoogle Scholar
  15. [15]
    Schoeller, D.A. Bioelectrical impedance analysis: What does it measure? Annals of the New York Academy of Sciences 2000, 904: 159–162PubMedCrossRefGoogle Scholar
  16. [16]
    U.S. Department of Health and Human Services. Healthy people 2010 — conference edition: Physical activity and fitness 2010, (22)Google Scholar
  17. [17]
    World Health Organization Obesity: preventing and managing the global epidemic. Report of a WHO consultation. WHO Technical report series 894, 2010, GenevaGoogle Scholar
  18. [18]
    WHO statistics. Noncommunicable diseases, Risk factors, Overweight/Obesity, http://apps.who.int/ghodata/

Copyright information

© Versita Warsaw and Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Gerstner Laboratory, Faculty of Electrical EngineeringCzech Technical University PraguePragueCzech Republic
  2. 2.Faculty of Military Health SciencesUniversity of Defence in Hradec Kralove, Department of Military HygieneHradec KraloveCzech Republic

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