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Digital three-dimensional anthropometry detection of exercise-induced fat mass reduction in obese women

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Abstract

Purpose

This work aimed at investigating the ability of a new automatic tool estimating geometrical parameters from photonic 3D scans of human subjects to detect and predict changes in Dual-energy X-ray absorptiometry (DXA) measured absolute and relative (%) total body (TB) and trunk fat mass (FM) in obese women after exercise training.

Methods

Twenty-five otherwise healthy obese females (age range, 20–60 years; body mass index range, 30–40 kg/m2) who participated in a whole-body vibration exercise programme had DXA and whole-body photonic 3D scanning before and after 10-week training. The 3D automatic digital anthropometric measurements (3D_AM) were: whole-body volume and surface area, maximal average trunk section radius, maximal anterior–posterior distance at the trunk, maximal trunk width and maximal trunk section area. The post–pre difference (Δ) was calculated for each variable and used for correlation (Pearson’s r) and linear regression analysis.

Results

Significant r values were found between Δ of all 3D_AM and Δ TB FM (r > 0.5 for all) as well as four out of six 3D_AM and Δ trunk FM. Percent TB FM and % trunk FM only correlated with trunk digital anthropometric automatic measurements. Linear regression analysis showed that several 3D_AM are able to predict to a significant extent changes in FM and  % FM of obese women explaining 12.0–39.9 % of variance in the dependent variable (p 0.050 to <0.001).

Conclusions

The results showed that automatic digital anthropometry is a promising tool for detecting and predicting fat changes in obese subjects.

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Acknowledgments

F. Piscitelli and V. Cavedon are in the Ph.D. programme “Multimodal imaging in Biomedicine” at the University of Verona.

Conflict of interest

All authors declare they have no conflict of interest.

Human and Animal Rights disclosure

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000 (5).

Informed consent disclosure

Informed consent was obtained from all patients for being included in the study.

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Authors and Affiliations

  1. Section of Anatomy and Histology, Laboratory of Anthropometry and Body Composition, Department of Neurological and Movement Sciences, University of Verona, Strada Le Grazie 8, 37134, Verona, Italy

    Chiara Milanese, Valentina Cavedon, Francesco Piscitelli & Carlo Zancanaro

  2. VIPS Lab, Department of Informatics, University of Verona, Strada Le Grazie 15, Verona, Italy

    Andrea Giachetti

Authors
  1. Chiara Milanese
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  2. Andrea Giachetti
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  3. Valentina Cavedon
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  4. Francesco Piscitelli
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  5. Carlo Zancanaro
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Corresponding author

Correspondence to Carlo Zancanaro.

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Milanese, C., Giachetti, A., Cavedon, V. et al. Digital three-dimensional anthropometry detection of exercise-induced fat mass reduction in obese women. Sport Sci Health 11, 67–71 (2015). https://doi.org/10.1007/s11332-014-0209-6

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  • DOI: https://doi.org/10.1007/s11332-014-0209-6

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