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Related Experiment Videos

A new approach for estimating healthy body weights

R J Garrison1, W B Kannel

  • 1Field Studies and Biometry Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland.

International Journal of Obesity and Related Metabolic Disorders : Journal of the International Association for the Study of Obesity
|July 1, 1993
PubMed
Summary

This study suggests using subscapular skinfolds and cardiovascular risk factors, not mortality, to set optimal body weight standards. This method identifies ideal adiposity levels for better cardiovascular health in adults.

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Area of Science:

  • Cardiovascular Health
  • Obesity Research
  • Preventive Medicine

Background:

  • Traditional body weight standards often rely on mortality data.
  • A direct measure of adiposity and cardiovascular disease (CVD) risk factors offers an alternative approach.
  • This study proposes new standards for optimal cardiovascular health.

Purpose of the Study:

  • To establish optimal body weight standards using subscapular skinfolds and CVD risk factors.
  • To provide a method for determining standards consistent with optimum cardiovascular health.
  • To avoid the lengthy follow-up required for mortality studies.

Main Methods:

  • Utilized data from 2447 non-smoking men and women aged 20-59 years.
  • Assessed the relationship between subscapular skinfold thickness and seven CVD risk factors.

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  • Determined optimal subscapular skinfold levels for different age groups and sexes.

    • Main Results:

    • Seven CVD risk factors were unfavorably linked to subscapular skinfold thickness in both sexes.
    • Optimal subscapular skinfolds were identified as <12 mm for men and <15 mm for women (20-39 year olds).
    • Above-optimal adiposity risk increases significantly for body mass index (BMI) >20 kg/m2, plateauing at BMI >24 kg/m2.

    Conclusions:

    • Subscapular skinfolds and CVD risk factors provide a direct measure for optimal adiposity standards.
    • Screening for above-optimal adiposity is recommended for individuals with BMI ≤24 kg/m2.
    • This approach facilitates timely identification of individuals needing intervention for cardiovascular health.