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A simple inexpensive method for estimating underwater weight.

T R Thomas, P L Cook

    British Journal of Sports Medicine
    |March 1, 1978
    PubMed
    Summary
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    This study presents a simple, affordable method for estimating body fat percentage using underwater weighing in a portable stock tank. The technique demonstrated high reliability, making it a versatile tool for body composition analysis.

    Area of Science:

    • Exercise Physiology
    • Body Composition Analysis
    • Anthropometry

    Background:

    • Accurate body fat estimation is crucial for health and performance assessment.
    • Traditional underwater weighing methods often require specialized facilities, limiting accessibility.
    • Developing a simpler, more versatile method is needed for widespread application.

    Purpose of the Study:

    • To describe and validate a simple, inexpensive, and versatile method for estimating underwater weight.
    • To determine the body fat percentage (% Fat) using this novel method.
    • To assess the test-retest reliability of the proposed underwater weighing technique.

    Main Methods:

    • Utilized a portable stock tank for underwater weighing, eliminating the need for specialized facilities.

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  • Employed a protocol involving 28 college students across two testing sessions, with 10 trials per session.
  • Calculated % Fat based on the mean of the last five trials from each session.
  • Main Results:

    • Achieved a high test-retest reliability coefficient (r = 0.98) for the underwater weighing method.
    • Demonstrated high correlations between successive trials (above 0.99).
    • Reported mean % Fat values of 22.2% for women and 13.7% for men.

    Conclusions:

    • The portable stock tank method provides a simple, reliable, and accessible approach for estimating body fat percentage.
    • This versatile technique can be implemented without specialized facilities, enhancing its practical utility.
    • The findings support the use of this method for accurate body composition analysis in diverse settings.