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Related Experiment Videos

Body Mass Index variations: centiles from birth to 87 years.

M F Rolland-Cachera1, T J Cole, M Sempé

  • 1INSERM, Section Nutrition, Le Vésinet, France.

European Journal of Clinical Nutrition
|January 1, 1991
PubMed
Summary

This study presents Body Mass Index (BMI) reference curves for the French population across all ages. These curves illustrate typical BMI changes throughout life, aiding in health assessments.

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Area of Science:

  • Anthropometry
  • Public Health
  • Human Physiology

Background:

  • Body Mass Index (BMI) is a key indicator of body fatness and is used to assess weight status in populations.
  • Understanding age- and sex-specific BMI variations is crucial for monitoring population health trends and identifying nutritional status.
  • Existing BMI data may not fully represent the French population across the entire lifespan.

Purpose of the Study:

  • To establish comprehensive Body Mass Index (weight/height²) reference curves for the French population from birth to 87 years.
  • To describe the typical trajectory of BMI changes throughout the human lifespan.
  • To provide tools for calculating exact percentiles and Z-scores for individual assessments.

Main Methods:

  • Analysis of Body Mass Index (weight/height²) data for a French population cohort.

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  • Development of percentile curves (3rd, 50th, 97th, and others) plotted against age.
  • Generation of graphs illustrating BMI distribution variation and skewness.

    • Main Results:

    • BMI curves show distinct patterns: increase in infancy, decrease until age 6, increase up to 65 years, and subsequent decrease.
    • Specific 50th percentile BMI values provided for men and women at ages 20, 40, 60, and 80 years.
    • Middle-year centile values approximate 18 kg/m² (3rd), 24 kg/m² (50th), and 32 kg/m² (97th).

    Conclusions:

    • The established BMI curves accurately reflect dynamic changes in body fat mass across the lifespan in the French population.
    • These reference data are valuable for clinical practice and public health surveillance.
    • The provided graphical tools facilitate precise individual BMI percentile and Z-score calculations.