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Estimations of body composition by various methods

D A Clark, T D Kay, R F Tatsch

    Aviation, Space, and Environmental Medicine
    |August 1, 1977
    PubMed
    Summary

    This study compared five body composition methods in overweight young men. Results showed significant variations in lean mass and fat mass measurements between techniques, impacting obesity classification.

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    Area of Science:

    • Human Physiology
    • Body Composition Analysis

    Background:

    • Accurate body composition assessment is crucial for health and fitness.
    • Overweight individuals often require precise methods to differentiate between excess fat and lean mass.

    Purpose of the Study:

    • To evaluate and compare five different methods for measuring body composition.
    • To assess the agreement and discrepancies among these methods in overweight young men.

    Main Methods:

    • Body composition was measured in 38 overweight young men using: body volumetry, tritium dilution for total body water, whole body 40K counting, Wright-Wilmore equation, and a complex anthropometric model.
    • Correlation coefficients were calculated to assess the agreement between methods for lean body mass, fat mass, and percent body fat.

    Main Results:

    • Body volumetry and tritium dilution showed close agreement.
    • Whole body 40K counting underestimated lean mass and overestimated fat mass compared to other methods.
    • Wright-Wilmore equation and complex anthropometric models overestimated lean mass and underestimated fat mass.
    • Correlation coefficients for lean body mass ranged from 0.81 to 0.94, fat mass from 0.74 to 0.89, and percent body fat from 0.60 to 0.86.

    Conclusions:

    • Different body composition measurement techniques yield varying results, particularly for lean and fat mass.
    • The choice of method can influence the classification of overweight individuals, with only 16% meeting obesity criteria in this cohort.
    • Further research is needed to validate these methods for diverse populations.

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