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Related Experiment Videos

Body build and mortality. The Framingham study

P Sorlie, T Gordon, W B Kannel

    JAMA
    |May 9, 1980
    PubMed
    Summary
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    The Framingham study found average weight linked to lowest mortality, unlike insurance data showing higher weight means higher death risk. These findings challenge current ideal weight standards for Americans.

    Area of Science:

    • Cardiovascular epidemiology
    • Biostatistics
    • Public health

    Background:

    • Insurance data (1959 Build and Blood Pressure Study) suggests increased mortality risk with higher relative weight.
    • The Framingham study provides population-based data on weight and mortality.

    Purpose of the Study:

    • To compare mortality findings between the Framingham study and the 1959 Build and Blood Pressure Study (BBPS).
    • To evaluate current ideal weight standards for the American population based on comparative mortality data.

    Main Methods:

    • Utilized identical definitions for body build across both studies.
    • Employed comparable follow-up periods for mortality analysis.
    • Compared findings from an unselected population sample (Framingham) with insurance mortality experience (BBPS).

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    Main Results:

    • Framingham study results contradict BBPS insurance data regarding weight and mortality risk.
    • Framingham study indicates minimum mortality around average weight, with increased risk at lower and higher weights.
    • BBPS data consistently shows greater mortality risk with increasing relative weight.
    • Smoking among leaner individuals in the Framingham study did not fully explain excess mortality in the leanest group.

    Conclusions:

    • Discrepancies between the Framingham study and BBPS highlight potential issues with current ideal weight standards.
    • Further investigation is needed to reconcile differing weight-mortality relationships observed in population studies versus insurance data.
    • Rethinking ideal weight definitions may be necessary for the American population.