Skip to main content
Log in

Body composition changes by DXA, BIA and skinfolds during exercise training in women

  • Original Article
  • Published:
European Journal of Applied Physiology Aims and scope Submit manuscript

Abstract

Purpose

Few studies have examined responsiveness of bioimpedance (BIA) to detect changes over time in body composition using a longitudinal design. Accuracy of BIA and skinfold thickness in estimating body composition among 39–64 year-old women was investigated using dual-energy X-ray absorptiometry (DXA) as a criterion method both cross-sectionally and during a training intervention.

Methods

97 women had percentage of fat assessed using DXA, skinfolds and eight-polar BIA using multi-frequency current. Fat mass and lean mass were estimated by DXA and BIA. Measurements were performed before and after the 21-week training intervention.

Results

At baseline relative to DXA, BIA under predicted percentage of fat (−6.50 %) and fat mass (−3.42 kg) and overestimated lean mass (3.18 kg) considerably. Also skinfold measurement under predicted percentage of fat compared to DXA, but the difference was smaller (−1.69 % units). Skinfold measurement overestimated percentage of fat at low values and underestimated at high values (r 2 = 0.535). A significant bias was detected between DXA and BIA’s estimate of change in percentage of fat, fat mass and lean mass. Compared to DXA, BIA and skinfolds underestimated the training-induced positive changes in body composition.

Conclusions

BIA and skinfold methods compared to DXA are not interchangeable to quantify the percentage of fat, fat mass and lean mass at the cross-sectional design in middle-aged women. Moreover, exercise training-induced small changes in body composition cannot be detected with BIA or skinfold method, even though DXA was able to measure statistically significant within-group changes in body composition after training.

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
Fig. 4

Similar content being viewed by others

References

  • Aasen G, Fagertun H, Halse J (2006) Body composition analysis by dual X-ray absorptiometry: in vivo and in vitro comparison of three different fan-beam instruments. Scand J Clin Lab Invest 66:659–666

    Article  PubMed  CAS  Google Scholar 

  • Aasen G, Fagertun H, Halse J (2010) Effect of loss of regional fat assessed by DXA on insulin resistance and dyslipidemia in obese men. Scand J Clin Lab Invest 70:547–553

    Article  PubMed  CAS  Google Scholar 

  • Alegre LM, Jimenez F, Gonzalo-Orden JM, Martin-Acero R, Aguado X (2006) Effects of dynamic resistance training on fascicle length and isometric strength. J Sports Sci 24:501–508

    Article  PubMed  Google Scholar 

  • Andreoli A, Scalzo G, Masala S, Tarantino U, Guglielmi G (2009) Body composition assessment by dual-energy X-ray absorptiometry (DXA). Radiol Med 114:286–300

    Article  PubMed  CAS  Google Scholar 

  • Aunola S, Rusko H (1986) Aerobic and anaerobic thresholds determined from venous lactate or from ventilation and gas exchange in relation to muscle fiber composition. Int J Sports Med 7:161–166

    Article  PubMed  CAS  Google Scholar 

  • Beeson WL, Batech M, Schultz E et al (2010) Comparison of body composition by bioelectrical impedance analysis and dual-energy X-ray absorptiometry in Hispanic diabetics. Int J Body Compos Res 8:45–50

    PubMed  Google Scholar 

  • Bolanowski M, Nilsson BE (2001) Assessment of human body composition using dual-energy X-ray absorptiometry and bioelectrical impedance analysis. Med Sci Monit 7:1029–1033

    PubMed  CAS  Google Scholar 

  • Demura S, Sato S, Kitabayashi T (2004) Percentage of total body fat as estimated by three automatic bioelectrical impedance analyzers. J Physiol Anthropol Appl Human Sci 23:93–99

    Article  PubMed  Google Scholar 

  • Durnin JV, Womersley J (1974) Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. Br J Nutr 32:77–97

    Article  PubMed  CAS  Google Scholar 

  • Evans EM, Saunders MJ, Spano MA, Arngrimsson SA, Lewis RD, Cureton KJ (1999) Body-composition changes with diet and exercise in obese women: a comparison of estimates from clinical methods and a 4-component model. Am J Clin Nutr 70:5–12

    PubMed  CAS  Google Scholar 

  • Ferri A, Scaglioni G, Pousson M, Capodaglio P, Van Hoecke J, Narici MV (2003) Strength and power changes of the human plantar flexors and knee extensors in response to resistance training in old age. Acta Physiol Scand 177:69–78

    Article  PubMed  CAS  Google Scholar 

  • Fields DA, Goran MI, McCrory MA (2002) Body-composition assessment via air-displacement plethysmography in adults and children: a review. Am J Clin Nutr 75:453–467

    PubMed  CAS  Google Scholar 

  • Frisard MI, Greenway FL, Delany JP (2005) Comparison of methods to assess body composition changes during a period of weight loss. Obes Res 13:845–854

    Article  PubMed  Google Scholar 

  • Frontera WR, Hughes VA, Lutz KJ, Evans WJ (1991) A cross-sectional study of muscle strength and mass in 45- to 78-year-old men and women. J Appl Physiol 71:644–650

    PubMed  CAS  Google Scholar 

  • Frontera WR, Hughes VA, Fielding RA, Fiatarone MA, Evans WJ, Roubenoff R (2000) Aging of skeletal muscle: a 12-year longitudinal study. J Appl Physiol 88:1321–1326

    PubMed  CAS  Google Scholar 

  • Genton L, Hans D, Kyle UG, Pichard C (2002) Dual-energy X-ray absorptiometry and body composition: differences between devices and comparison with reference methods. Nutrition 18:66–70

    Article  PubMed  CAS  Google Scholar 

  • Hakkinen K, Alen M, Kraemer WJ et al (2003) Neuromuscular adaptations during concurrent strength and endurance training versus strength training. Eur J Appl Physiol 89:42–52

    Article  PubMed  CAS  Google Scholar 

  • Hakkinen A, Holopainen E, Kautiainen H, Sillanpaa E, Hakkinen K (2006) Neuromuscular function and balance of prepubertal and pubertal blind and sighted boys. Acta Paediatr 95:1277–1283

    Article  PubMed  Google Scholar 

  • Houtkooper LB, Going SB, Sproul J, Blew RM, Lohman TG (2000) Comparison of methods for assessing body-composition changes over 1 y in postmenopausal women. Am J Clin Nutr 72:401–406

    PubMed  CAS  Google Scholar 

  • Huffman DM, Landy NM, Potter E, Nagy TR, Gower BA (2005) Comparison of the Lunar DPX-L and Prodigy dual-energy X-ray absorptiometers for assessing total and regional body composition. Int J Body Compos Res 3:25–30

    PubMed  Google Scholar 

  • Jebb SA, Goldberg GR, Elia M (1993) DXA measurements of fat and bone mineral density in relation to depth and adiposity. Basic Life Sci 60:115–119

    PubMed  CAS  Google Scholar 

  • Karavirta L, Hakkinen A, Sillanpaa E et al (2011) Effects of combined endurance and strength training on muscle strength, power and hypertrophy in 40–67-year-old men. Scand J Med Sci Sports 21:402–411

    Article  PubMed  CAS  Google Scholar 

  • Kim J, Wang Z, Heymsfield SB, Baumgartner RN, Gallagher D (2002) Total-body skeletal muscle mass: estimation by a new dual-energy X-ray absorptiometry method. Am J Clin Nutr 76:378–383

    PubMed  CAS  Google Scholar 

  • Kuk JL, Saunders TJ, Davidson LE, Ross R (2009) Age-related changes in total and regional fat distribution. Ageing Res Rev 8:339–348

    Article  PubMed  Google Scholar 

  • Leahy S, O’Neill C, Sohun R, Jakeman P (2011) A comparison of dual energy X-ray absorptiometry and bioelectrical impedance analysis to measure total and segmental body composition in healthy young adults. Eur J Appl Physiol 112:589–595

    Article  PubMed  Google Scholar 

  • Ling CH, de Craen AJ, Slagboom PE et al (2011) Accuracy of direct segmental multi-frequency bioimpedance analysis in the assessment of total body and segmental body composition in middle-aged adult population. Clin Nutr 30:610–615

    Article  PubMed  Google Scholar 

  • Mahon AK, Flynn MG, Iglay HB et al (2007) Measurement of body composition changes with weight loss in postmenopausal women: comparison of methods. J Nutr Health Aging 11:203–213

    PubMed  CAS  Google Scholar 

  • Malavolti M, Mussi C, Poli M et al (2003) Cross-calibration of eight-polar bioelectrical impedance analysis versus dual-energy X-ray absorptiometry for the assessment of total and appendicular body composition in healthy subjects aged 21–82 years. Ann Hum Biol 30:380–391

    Article  PubMed  CAS  Google Scholar 

  • Nelson ME, Fiatarone MA, Layne JE et al (1996) Analysis of body-composition techniques and models for detecting change in soft tissue with strength training. Am J Clin Nutr 63:678–686

    PubMed  CAS  Google Scholar 

  • Neovius M, Hemmingsson E, Freyschuss B, Udden J (2006) Bioelectrical impedance underestimates total and truncal fatness in abdominally obese women. Obesity (Silver Spring) 14:1731–1738

    Article  Google Scholar 

  • Nindl BC, Harman EA, Marx JO et al (2000) Regional body composition changes in women after 6 months of periodized physical training. J Appl Physiol 88:2251–2259

    PubMed  CAS  Google Scholar 

  • Pietrobelli A, Formica C, Wang Z, Heymsfield SB (1996) Dual-energy X-ray absorptiometry body composition model: review of physical concepts. Am J Physiol 271:E941–E951

    PubMed  CAS  Google Scholar 

  • Pritchard JE, Nowson CA, Strauss BJ, Carlson JS, Kaymakci B, Wark JD (1993) Evaluation of dual energy X-ray absorptiometry as a method of measurement of body fat. Eur J Clin Nutr 47:216–228

    PubMed  CAS  Google Scholar 

  • Reeves ND, Narici MV, Maganaris CN (2004) In vivo human muscle structure and function: adaptations to resistance training in old age. Exp Physiol 89:675–689

    Article  PubMed  CAS  Google Scholar 

  • Rissanen A, Heliovaara M, Aromaa A (1988) Overweight and anthropometric changes in adulthood: a prospective study of 17,000 Finns. Int J Obes 12:391–401

    PubMed  CAS  Google Scholar 

  • Shafer KJ, Siders WA, Johnson LK, Lukaski HC (2009) Validity of segmental multiple-frequency bioelectrical impedance analysis to estimate body composition of adults across a range of body mass indexes. Nutrition 25:25–32

    Article  PubMed  Google Scholar 

  • Sillanpaa E, Hakkinen A, Nyman K et al (2008) Body composition and fitness during strength and/or endurance training in older men. Med Sci Sports Exerc 40:950–958

    Article  PubMed  Google Scholar 

  • Sillanpaa E, Laaksonen DE, Hakkinen A et al (2009) Body composition, fitness, and metabolic health during strength and endurance training and their combination in middle-aged and older women. Eur J Appl Physiol 106:285–296

    Article  PubMed  Google Scholar 

  • Sousa VD, Zauszniewski JA, Musil CM (2004) How to determine whether a convenience sample represents the population. Appl Nurs Res 17:130–133

    PubMed  Google Scholar 

  • Thomson R, Brinkworth GD, Buckley JD, Noakes M, Clifton PM (2007) 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 26:771–777

    Article  PubMed  Google Scholar 

  • Treuth MS, Ryan AS, Pratley RE et al (1994) Effects of strength training on total and regional body composition in older men. J Appl Physiol 77:614–620

    PubMed  CAS  Google Scholar 

  • Treuth MS, Hunter GR, Kekes-Szabo T, Weinsier RL, Goran MI, Berland L (1995) Reduction in intra-abdominal adipose tissue after strength training in older women. J Appl Physiol 78:1425–1431

    PubMed  CAS  Google Scholar 

  • van der Ploeg GE, Withers RT, Laforgia J (2003) Percent body fat via DEXA: comparison with a four-compartment model. J Appl Physiol 94:499–506

    Google Scholar 

  • Volgyi E, Tylavsky FA, Lyytikainen A, Suominen H, Alen M, Cheng S (2008) Assessing body composition with DXA and bioimpedance: effects of obesity, physical activity, and age. Obesity (Silver Spring) 16:700–705

    Article  Google Scholar 

  • Weir JP (2005) Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res 19:231–240

    PubMed  Google Scholar 

Download references

Acknowledgments

This study was partly supported by a grant from the Ministry of Education, Finland, the Central Finland Health Care District, Jyväskylä Finland, Juho Vainio Foundation, Finland, Sport Institute Foundation, Finland and Yrjö Jahnsson Foundation, Finland.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elina Sillanpää.

Additional information

Communicated by Klaas R Westerterp.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sillanpää, E., Häkkinen, A. & Häkkinen, K. Body composition changes by DXA, BIA and skinfolds during exercise training in women. Eur J Appl Physiol 113, 2331–2341 (2013). https://doi.org/10.1007/s00421-013-2669-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00421-013-2669-9

Keywords

Navigation