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Grading body fatness from limited anthropometric data

A F Roche, R M Sievogel, W C Chumlea

    The American Journal of Clinical Nutrition
    |December 1, 1981
    PubMed
    Summary
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    This study identifies the best anthropometric measurements for assessing body fatness in children and adults. It recommends using weight-for-stature for total body fat and triceps skinfold for body fat percentage in specific groups.

    Area of Science:

    • Anthropometry
    • Body Composition Analysis
    • Clinical Measurement

    Background:

    • Clinical settings frequently measure body fatness using various anthropometric indicators.
    • The predictive accuracy of these common measurements for actual body fatness is not well-established.
    • Standardized procedures are needed to interpret these body fatness measurements effectively.

    Purpose of the Study:

    • To determine the correlation between selected anthropometric measurements and body fat estimates.
    • To identify the most effective single anthropometric indicators for body fat percentage and total body fat across different age and sex groups.

    Main Methods:

    • Collected anthropometric data from 405 white children and adults (aged 6-49 years).
    • Calculated correlations between anthropometric measurements (triceps skinfold, weight/stature, subscapular skinfold) and body fat estimates.

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  • Compared correlations across sexes and age groups (children vs. adults).

    • Main Results:

    • Triceps skinfold is the best indicator of body fat percentage in children and women.
    • Weight/stature is the best indicator of total body fat in girls and adults.
    • Weight/stature also best indicates body fat percentage in men, while subscapular skinfold best indicates total body fat in boys.

    Conclusions:

    • Specific anthropometric measures are superior indicators of body fatness depending on sex and age.
    • Weight/stature is a practical measure for total body fat and percentage body fat in adults and girls.
    • Utilizing these validated measures and comparing data with national percentiles is recommended for accurate body fat assessment.