Skip to main content
Log in

Validity of Bioelectrical Impedance Analysis to Estimate Body Composition Changes After Bariatric Surgery in Premenopausal Morbidly Women

  • Clinical Report
  • Published:
Obesity Surgery Aims and scope Submit manuscript

Abstract

In obese patients, subtle variations of the hydration of soft tissues can propagate errors in bioelectrical impedance analysis (BIA) measures of body composition. Bioelectrical impedance vector analysis (BIVA) is a useful method to evaluate tissue hydration. Laparoscopic adjustable gastric banding (LAGB) is a purely restrictive bariatric surgical procedure resulting in lower fat-free mass (FFM) loss than other malabsorptive or mixed intervention. The aim of this study was to evaluate the 6- and 12-month changes in body composition in a homogeneous group of premenopausal morbidly obese women treated by LAGB by comparing the results of conventional BIA and BIVA with dual-energy X-ray absorptiometry (DXA) method. Forty-five consecutive morbidly obese patients (mean age, 35.3 ± 9.1 years; body mass index, 34.5–48.7 kg/m2) were prospectively evaluated at the Endocrinology Unit of the Department of Molecular and Clinical Endocrinology and Oncology. The LAGB device (Lap-Band™ System; Inamed Health, Santa Barbara, CA, USA) was inserted laparoscopically. Soft tissue hydration was evaluated by BIVA; fat mass (FM) and FFM were evaluated by BIA (BIA 101 RJL, Akern Bioresearch, Firenze, Italy) and by DXA (Hologic QDR 4500A S/N 45622; Hologic Inc., Bedford, MA, USA). Pre- and postoperative BIVA vectors indicated a normal hydration in all patients. Postoperatively, the excess of body weight loss was mainly due to a decrease in FM. The regression analysis of BIA and DXA methods at baseline and at the 6- and 12-month follow-up for FM r 2 values were 0.98, 0.94, and 0.99, respectively (p < 0.001); FM% r 2 values were 0.91, 0.89, and 0.98, respectively (p < 0.001); and FFM r 2 values were 0.87, 0.82, 0.99, respectively (p < 0.001). BIA and DXA measurements of body composition exhibit a high relative agreement in the study group of normo-hydrated obese subjects. BIA tends to overestimate FFM, but this effect is reduced along with the weight loss during the follow-up. Under the stable hydration, the BIA method may be useful as an alternative to DXA in a selected clinical setting when repeated comparisons of body composition are required.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

References

  1. Plank LD. Dual-energy X-ray absorptiometry and body composition. Curr Opin Clin Nutr Metab Care. 2005;8:305–9.

    Article  PubMed  Google Scholar 

  2. Lukaski HC, Johnson PE, Bolonchuk WW, et al. Assessment of fat-free mass using bioelectrical impedance measurements of the human body. Am J Clin Nutr. 1985;41:810–7.

    CAS  PubMed  Google Scholar 

  3. Lukaski HC, Siders WA. Validity and accuracy of regional bioelectrical impedance devices to determine whole-body fatness. Nutrition. 2003;19:851–7.

    Article  PubMed  Google Scholar 

  4. Fogelholm M, van Marken Lichtenbelt W. Comparison of body composition methods: a literature analysis. Eur J Clin Nutr. 1997;51:495–503.

    Article  CAS  PubMed  Google Scholar 

  5. Jaffrin MY, Morel H. Body fluid volumes measurements by impedance: a review of bioimpedance spectroscopy (BIS) and bioimpedance analysis (BIA) methods. Med Eng Phys. 2008;30:1257–69.

    Article  PubMed  Google Scholar 

  6. Pateyjohns IR, Brinkworth GD, Buckley JD, et al. Comparison of three bioelectrical impedance methods with DXA in overweight and obese men. Obesity. 2006;14:2064–70.

    Article  PubMed  Google Scholar 

  7. Thomson R, Brinkworth GD, Buckley JD, et al. Good agreement between bioelectrical impedance and dual-energy X-ray absorptiometry for estimating changes in body composition during weight loss in overweight young women. Clin Nutr. 2007;26:771–7.

    Article  PubMed  Google Scholar 

  8. Minderico CS, Silva AM, Keller K, et al. Usefulness of different techniques for measuring body composition changes during weight loss in overweight and obese women. Br J Nutr. 2008;99:432–41.

    Article  CAS  PubMed  Google Scholar 

  9. Baumgartner RN, Ross R, Heymsfield SB. Does adipose tissue influence bioelectric impedance in obese men and women? J Appl Physiol. 1998;84:257–62.

    CAS  PubMed  Google Scholar 

  10. Deurenberg P. Limitations of the bioelectrical impedance method for the assessment of body fat in severe obesity. Am J Clin Nutr. 1996;64:449S–52.

    CAS  PubMed  Google Scholar 

  11. Piccoli A, Rossi B, Pillon L, et al. A new method for monitoring body fluid variation by bioimpedance analysis: the RXc graph. Kidney Int. 1994;46:534–9.

    Article  CAS  PubMed  Google Scholar 

  12. Kyle UG, Bosaeus I, De Lorenzo AD, et al. Composition of the ESPEN Working Group. Bioelectrical impedance analysis—part I: review of principles and methods. Clin Nutr. 2004;23:1226–43.

    Article  PubMed  Google Scholar 

  13. Lukaski HC, Hall CB, Siders WA. Assessment of change in hydration in women during pregnancy and postpartum with bioelectrical impedance vectors. Nutrition. 2007;23:543–50.

    Article  PubMed  Google Scholar 

  14. Kral JG, Näslund E. Surgical treatment of obesity. Nat Clin Pract Endocrinol Metab. 2007;3:574–83.

    Article  PubMed  Google Scholar 

  15. Chaston TB, Dixon JB, O'Brien PE. Changes in fat-free mass during significant weight loss: a systematic review. Int J Obes. 2006;31:743–50.

    Google Scholar 

  16. Sergi G, Lupoli L, Busetto L, et al. Changes in fluid compartments and body composition in obese women after weight loss induced by gastric banding. Ann Nutr Metab. 2003;47:152–7.

    Article  CAS  PubMed  Google Scholar 

  17. Coupaye M, Bouillot JL, Poitou C, et al. Is lean body mass decreased after obesity treatment by adjustable gastric banding? Obes Surg. 2007;17:427–33.

    Article  PubMed  Google Scholar 

  18. Strauss BJ, Marks SJ, Growcott JP, et al. Body composition changes following laparoscopic gastric banding for morbid obesity. Changes in body composition and insulin sensitivity in severely obese subjects after laparoscopic adjustable silicone gastric banding (LAGB). Acta Diabetol. 2003;40:S266–9.

    Article  PubMed  Google Scholar 

  19. Garrapa GG, Canibus P, Gatti C, et al. Is lean body mass decreased after obesity treatment by adjustable gastric banding? Med Sci Monit. 2005;11:CR522–8.

    PubMed  Google Scholar 

  20. Gastrointestinal Surgery for severe obesity. National Institutes of Health Consensus Development Conference Draft Statement. Obes Surg. 1991;1:257–66.

    Google Scholar 

  21. Angrisani L, Lorenzo M, Esposito G, et al. Laparoscopic adjustable silicone gastric banding: preliminary results of Naples experience. Obes Surg. 1997;7:19–21.

    Article  CAS  PubMed  Google Scholar 

  22. Busetto L, Pisent C, Segato G, et al. The influence of a new timing strategy of band adjustment on the vomiting frequency and the food consumption of obese women operated with laparoscopic adjustable silicone gastric banding (LAP-BAND®). Obes Surg. 1997;7:505–12.

    Article  CAS  PubMed  Google Scholar 

  23. Busetto L, Valente P, Pisent C, et al. Eating pattern in the first year following adjustable silicone gastric banding (ASGB) for morbid obesity. Int J Obes. 1996;20:539–46.

    CAS  Google Scholar 

  24. Guida B, Belfiore A, Angrisani L, et al. Laparoscopic gastric banding and body composition in morbid obesity. Nutr Metab Cardiovasc Dis. 2005;15:198–203.

    Article  PubMed  Google Scholar 

  25. Hu FB, Rimm E, Smith-Warner SA, et al. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr. 1999;69:243–9.

    CAS  PubMed  Google Scholar 

  26. Piccoli A, Nigrelli S, Caberlotto A, et al. Bivariate normal values of the bioelectrical impedance vector in adult and elderly population. Am J Clin Nutr. 1995;61:269–70.

    CAS  PubMed  Google Scholar 

  27. Piccoli A, Brunani A, Savia G, et al. Discriminating between body fat and fluid changes in the obese adult using bioimpedance vector analysis. Int J Obes. 1998;22:97–104.

    Article  CAS  Google Scholar 

  28. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;i:307–10.

    Google Scholar 

  29. Andreoli A, Melchiorri G, De Lorenzo A, et al. Bioelectrical impedance measures in different position and vs dual-energy X-ray absorptiometry (DXA). J Sports Med Phys Fitness. 2002;42:186–9.

    CAS  PubMed  Google Scholar 

  30. Sun G, French CR, Martin GR, et al. Comparison of multifrequency bioelectrical impedance analysis with dual-energy X-ray absorptiometry for assessment of percentage body fat in a large, healthy population. Am J Clin Nutr. 2005;81:74–8.

    CAS  PubMed  Google Scholar 

  31. Frisard MI, Greenway FL, Delany JP. Comparison of methods to assess body composition changes during a period of weight loss. Obes Res. 2005;13:845–54.

    Article  PubMed  Google Scholar 

  32. Pateyjohns IR, Brinkworth GD, Buckley JD, et al. Comparison of three bioelectrical impedance methods with DXA in overweight and obese men. Obesity. 2006;14:2064–70.

    Article  PubMed  Google Scholar 

  33. Ward LC, Dyer JM, Byrne MN, et al. Validation of a three-frequency bioimpedance spectroscopic method for body composition analysis. Nutrition. 2007;23:657–64.

    Article  CAS  PubMed  Google Scholar 

  34. Strain GW, Wang J, Gagner M, et al. Bioimpedance for severe obesity: comparing research methods for total body water and resting energy expenditure. Obesity. 2008;16:1953–6.

    Article  PubMed  Google Scholar 

  35. Shafer KJ, Siders WA, Johnson LK, et al. Validity of segmental multiple-frequency bioelectrical impedance analysis to estimate body composition of adults across a range of body mass indexes. Nutrition. 2009;25:25–32.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This study has been partially granted by the Ministry of University Research of Italy, PRIN, with the number 2007N4C5TY_005 and by Ricerca finalizzata, art.12 bis Decreto Legislativo 229/99. We thank Dr. Emanuele Nicolai (SDN Foundation IRCCS, Naples, Italy) for kindly providing DXA analyses.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Silvia Savastano.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Savastano, S., Belfiore, A., Di Somma, C. et al. Validity of Bioelectrical Impedance Analysis to Estimate Body Composition Changes After Bariatric Surgery in Premenopausal Morbidly Women. OBES SURG 20, 332–339 (2010). https://doi.org/10.1007/s11695-009-0006-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11695-009-0006-5

Keywords

Navigation