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Validation of a three-dimensional body scanner for body composition measures


The accuracy of an infrared three-dimensional (3D) body scanner in determining body composition was compared against hydrostatic weighing (HW), bioelectrical impedance analysis (BIA), and anthropometry. A total of 265 adults (119 males; age = 22.1 ± 2.5 years; body mass index = 24.5 ± 3.9 kg/m2) had their body fat percent (BF%) estimated from 3D scanning, HW, BIA, skinfolds, and girths. A repeated measures analysis of variance (ANOVA) indicated significant differences among methods (p < 0.001). Multivariate ANOVA indicated a significant main effect of sex and method (p < 0.001), with a non-significant interaction (p = 0.101). Bonferroni post-hoc comparisons identified that BF% from 3D scanning (18.1 ± 7.8%) was significantly less than HW (22.8 ± 8.5%, p < 0.001), BIA (20.1 ± 9.1%, p < 0.001), skinfolds (19.7 ± 9.7%, p < 0.001), and girths (21.2 ± 10.4%, p < 0.001). The 3D scanner decreased in precision with increasing adiposity, potentially resulting from inconsistences in the 3D scanner’s analysis algorithm. A correction factor within the algorithm is required before infrared 3D scanning can be considered valid in measuring BF%.

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Fig. 1


  1. 1.

    Lee SY, Gallagher D. Assessment methods in human body composition. Curr Opin Clin Nutr Metab Care. 2008;11:566–572.

    Article  Google Scholar 

  2. 2.

    Ackland TR, Lohman TG, Sundgot-Borgen J, Maughan RJ, Meyer NL, Stewart AD, et al. Current status of body composition assessment in sport. Sports Med. 2012;42:227–249.

    Article  Google Scholar 

  3. 3.

    Clarkson S, Wheat J, Heller B, Choppin S. Assessment of a Microsoft Kinect-based 3d scanning system for taking body segment girth measurements: A comparison to isak and iso standards. J Sports Sci. 2016;34:1006–1014.

    Article  Google Scholar 

  4. 4.

    Schranz N, Tomkinson G, Olds T, Daniell N Three-dimensional anthropometric analysis: Differences between elite Australian rowers and the general population. J Sports Sci 2010;28:459–469.

  5. 5.

    Jackson AS, Pollock ML. Prediction accuracy of body density, lean body weight, and total body volume equations. Med Sci Sports. 1977;9:197–201.

    CAS  PubMed  Google Scholar 

  6. 6.

    Lohman TG, Roche AF, Martorell R. Anthropometric Standardization Reference Manual. Champaign, IL: Human kinetics books; 1988.

    Google Scholar 

  7. 7.

    Quanjer PH. Standardized lung function testing. Bull Eur Physiopathol Respir. 1983;19:1–95.

    Google Scholar 

  8. 8.

    Siri WE. Body composition from fluid spaces and density: Analysis of methods. Nutrition. 1961;9:480–491.

    Google Scholar 

  9. 9.

    Ryder JR, Ball SD. Three-dimensional body scanning as a novel technique for body composition assessment: a preliminary investigation. J Exerc Physiol Online. 2012;15:1–14.

    Google Scholar 

  10. 10.

    Ng BK, Hinton BJ, Fan B, Kanaya AM, Shepherd JA. Clinical anthropometrics and body composition from 3d whole-body surface scans. Eur J Clin Nutr. 2016;70:1265–1270.

    CAS  Article  Google Scholar 

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The authors wish to thank the University of Minnesota, Twin Cities.



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Correspondence to Michelle M. Harbin.

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Harbin, M., Kasak, A., Ostrem, J.D. et al. Validation of a three-dimensional body scanner for body composition measures. Eur J Clin Nutr 72, 1191–1194 (2018).

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