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Cited by 43Body Composition Measurement TechniquesElectrical and Bioimpedance TomographyObesity, Physical Activity, Diet

Comparison of Standing Posture Bioelectrical Impedance Analysis with DXA for Body Composition in a Large, Healthy Chinese Population

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Chen, Kuen-Tsann, Chen, Yu-Yawn, Wang, Chia-Wei, Chuang, Chih-Lin, Chiang, Li-Ming, Lai, Chung-Liang, Lu, Hsueh-Kuan, Dwyer, Gregory B. +3 more·2016·PLOS ONE
DOI 10.1371/journal.pone.0160105PMC PMC4965215
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Abstract

Bioelectrical impedance analysis (BIA) is a common method for assessing body composition in research and clinical trials. BIA is convenient but when compared with other reference methods, the results have been inconclusive. The level of obesity degree in subjects is considered to be an important factor affecting the accuracy of the measurements. A total of 711 participants were recruited in Taiwan and were sub-grouped by gender and levels of adiposity. Regression analysis and Bland-Altman analysis were used to evaluate the agreement of the measured body fat percentage (BF%) between BIA and DXA. The BF% measured by the DXA and BIA methods (Tanita BC-418) were expressed as BF%DXA and BF%BIA8, respectively. A one-way ANOVA was used to test the differences in BF% measurements by gender and levels of adiposity. The estimated BF%BIA8 and BF%DXA in the all subjects, male and female groups were all highly correlated (r = 0.934, 0.901, 0.916, all P< 0.001). The average estimated BF%BIA8 (22.54 ± 9.48%) was significantly lower than the average BF%DXA (26.26 ± 11.18%). The BF%BIA8 was overestimated in the male subgroup (BF%DXA< 15%), compared to BF%DXA by 0.45%, respectively. In the other subgroups, the BF%BIA8 values were all underestimated. Standing BIA estimating body fat percentage in Chinese participants have a high correlation, but underestimated on normal and high obesity degree in both male and female subjects.

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  • Single-frequency devices and segmental measures demonstrate the largest differences when compared to DXA, with the inaccuracy increasing in conjunction with higher levels of BMI.

    “However, single-frequency devices and segmental measures demonstrate the largest differences when compared to DXA, with the inaccuracy increasing in conjunction with higher levels of BMI [55,56,57,58].”

    From The Utility of Body Composition Assessment in Nutrition and Clinical Practice: An Overview of Current Methodology (2021) · cites this paper as [57]

    The Results (‘BF%BIA8 bias on the basis of BF%DXA’; page unavailable) show that the eight-electrode BIA device’s underestimation of body-fat percentage increased across lean, normal and obese groups. The paper groups participants by DXA-measured body-fat percentage, not BMI, and does not establish that single-frequency devices or segmental measures have the largest differences from DXA compared with other devices or measures. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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  1. [1]Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, Paciorek CJ, et al National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants. Lancet 2011; 377: 557– 67. 10.1016/S0140-6736(10)62037-5 21295846 PMC4472365 · DOI · Paper page
  2. [2]Hall ME, do Carmo JM, da Silva AA, Juncos LA, Wang Z, Hall JE. Obesity, hypertension, and chronic kidney disease. Int J Nephrol Renovasc Dis 2014; 7: 75– 88. 10.2147/IJNRD.S39739 24600241 PMC3933708 · DOI · Paper page
  3. [3]Katch FI. Practice curves and errors of measurement in estimating underwater weight by hydrostatic weighing. Med Sci Sports 1969; 1: 212– 6.
  4. [4]Johansson AG, Forslund A, Sjödin A, Mallmin H, Hambraeus L, Ljunghall S. Determination of body composition–a comparison of dual-energy x-ray absorptiometry and hydrodensitometry. Am J Clin Nutr 1993; 57: 323– 6.. 8438765
  5. [5]Temple D, Denis R, Walsh MC, Dicker P, Byrne AT. Comparison of anthropometric-based equations for estimation of body fat percentage is a normal-weight and overweight female cohort: validation via air-displacement plethysmography. Public Health Nutr 2015; 18: 446– 52. 10.1017/S1368980014000597 24735997 PMC10271096 · DOI
  6. [6]Durnin JV, Womersley J. 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 1974; 32: 77– 97.. 4843734
  7. [7]Tan YX, Nuñez C, Sun Y, Zhang K, Wang Z, Heymsfield SB. New electrode system for rapid whole-body and segmental bioimpedance assessment. Med Sci Sports Exerc 1997; 29: 1269– 73.. 9309641
  8. [8]Bosaeus M, Karlsson T, Holmäng A, Ellegård L. Accuracy of quantitative magnetic resonance and eight-electrode bioelectrical impedance analysis in normal weight and obese women. Clin Nutr 2014; 33: 417– 7. 10.1016/j.clnu.2013.06.017 23871192 · DOI
  9. [9]Sun G, French CR, Martin GR, Younghusband B, Green RC, Xie YG, et al Comparison of multifrequency bioelectrical impedance analysis with dual-energy X-ray absorptiometry for assessment of percentage body fat in large, healthy population. Am J Clin Nutr 2005; 81: 74– 8.. 15640463
  10. [10]Kim H, Kim CH, Kim DW, Park M, Park HS, Min SS, et al External cross-validation of bioelectrical impedance analysis for the assessment of body composition in Korean adults. Ntr Res Pract 2011; 5: 246– 52. 10.4162/nrp.2011.5.3.246 PMC3133758 21779529 · DOI
  11. [11]Böhm A, Heitmann BL. The use of bioelectrical impedance analysis for body composition in epidemiological studies. Eur J Clin Nutr 2013; 67 Suppl 1: S79– S85. 10.1038/ejcn.2012.168 23299875 · DOI
  12. [12]Niqam P, Misra A, Colles SL. Comparison of DEXA-derived body fat measurement to two race-specific bioelectrical impedance equations in healthy Indians. Diabetes Metab Syndr 2013; 7: 72– 7. 10.1016/j.dsx.2013.02.031 23680244 · DOI
  13. [13]Wang JG, Zhang Y, Chen HE, Li Y, Cheng XG, Xu L, et al Comparison of two bioelectrical impedance analysis devices with dual energy X-ray absorptiometry and magnetic resonance imaging in the estimation of body composition. J Strength Cond Res 2013; 27: 236– 43. 10.1519/JSC.0b013e31824f2040 22344056 · DOI
  14. [15]Wing L, Hui SS, Wong SH. Validity of bioelectrical impedance measurement in predicting fat-free mass of Chinese children and adolescents. Med Sci Monit 2014; 20: 2298– 310. 10.12659/MSM.890696 25398209 PMC4245105 · DOI
  15. [17]Erceg DN, Dieli-Conwright CM, Rossuello AE, Jensky NE, Sun S, Schroeder ET. The Stay healthy bioelectrical impedance analyzer predicts body fat in children and adults. Nutr Res 2010; 30: 297– 304. 10.1016/j.nutres.2010.04.009 20579521 · DOI
  16. [18]Pietrobelli A, Rubiano F, St-Onge MP, Heymsfield SB. New bioimpedance analysis system: improved phenotyping with whole-body analysis. Eur J Clin Nutr 2004; 58: 1479– 84.. 15138459
  17. [19]Lin LI. A concordance correlation coefficient to evaluate reproducibility. Biometrics 1989; 45: 255– 68.. 2720055
  18. [20]Ludbrook J. Statistical techniques for comparing measurers and methods of measurement: a critical review. Clin Exp Pharmacol Physiol 2002; 29: 527– 36.. 12060093
  19. [24]Hemmingsson E, Udden J, Neovius M. No apparent progress in bioelectrical impedance accuracy: validation against metabolic risk and DXA. Obesity 2009; 17: 183– 7. 10.1038/oby.2008.474 18997678 · DOI
  20. [25]Mally K, Trentmann, Heller M, Dittmar M. Reliability and accuracy of segmental bioelectrical impedance analysis for assessing muscle and fat mass in older Europeans: a comparison with dual-energy X-ray absorptiometry. Eur J Appl Physiol 2011; 111: 1879– 87. 10.1007/s00421-010-1795-x 21234595 · DOI · Paper page
  21. [26]Lee LC, Hsieh KC, Wu CS, Chen YJ, Chiang J, Chen YY. Validity of standing posture eight-electrode bioelectrical impedance to estimate body composition in Taiwanese elderly. Int J Gerontology 2014; 8: 137– 42. 10.1016/j.ijge.2013.08.010. · DOI
  22. [27]Sentongo TA, Semeao EJ, Piccoli DA, Stallings VA, Zemel BS. Growth, body composition, and nutritional status in children and adolescents with Crohn's disease. J Pediatr Gastroenterol Nutr 2000; 31: 33– 40.. 10896068
  23. [29]Oshima Y, Shiga T. Within-day variability of whole-body and segmental bioelectrical impedance in a standing position. Eur J Clin Nutr 2006; 60: 938– 41.. 16482076
  24. [30]Gupta N, Balasekaran G, Victor Govindaswamy V, Hwa CY, Shun LM. Comparison of body composition with bioelectric impedance (BIA) and dual energy X-ray absorptiometry (DEXA) among Singapore Chinese. J Sci Med Sport 2011; 14: 33– 5. 10.1016/j.jsams.2010.04.005 20619734 · DOI
  25. [31]Tothill P, Hannan WJ, Wilkinson S. Comparisons between a pencil beam and two fan beam dual energy X-ray absorptiometers used for measuring total body bone and soft tissue. Br J Radiol 2001; 74: 166– 76.. 11718390
  26. [32]Tothill P, Hannan WJ. Comparisons between Hologic QDR 1000W, QDR 4500 A, and Lunar Expert dual energy X-ray absorptiometry scanners used for measuring total body bone and soft tissue. Ann N Y Acad Sci 2002; 904: 63– 71.. 10865711

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Authors
Chen, K.-T., Chen, Y.-Y., Wang, C.-W., Chuang, C.-L., Chiang, L.-M., Lai, C.-L., Lu, H.-K., Dwyer, G. B., Chao, S.-P., Shih, M.-K., & Hsieh, K.-C.
Affiliations
  • National Chung Hsing University (TW)
  • National Taiwan University of Sport (TW)
  • Jen-Ai Hospital (TW)
  • East Stroudsburg University (US)
  • Ministry of Health and Welfare (TW)
  • National Kaohsiung University of Hospitality and Tourism (TW)
  • Charder Electronic Co., Ltd. (Taiwan) (TW)
Corresponding author
Hsieh, Kuen-Chang
ORCID
Venue
PLOS ONE
Publisher
Public Library of Science (PLoS)
Published
2016-07-28
Volume
11
Issue
7
Pages
e0160105
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0160105
PMC
PMC4965215
OpenAlex
W2505736967
Cited by
43
References
4
Citations by year
2026: 4 · 2025: 3 · 2024: 7 · 2023: 2 · 2022: 7 · 2021: 8 · 2020: 7 · 2019: 5
FWCI
1.34
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, public-domain)
  • Europe PMC (PubMed Central) (publishedVersion, public-domain)
  • PubMed Central (publishedVersion, public-domain)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • the Ministry of Health and Welfare of the Republic of China (PG-10417)
  • the National Science Council of the republic of China (NSC 100-2410-H-H-028-MY3)
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
bioelectrical impedance analysis, dual-energy X-ray absorptiometry, body composition, body fat percentage, standing posture, obesity, measurement agreement, Chinese population, sex differences
MeSH terms
Body Composition, Female, Humans, Male, Taiwan, Absorptiometry, Photon, Electric Impedance

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