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[Variability of anthropometric parameters]

J Larrea1, J M Torrent, T M Altabas

  • 1Servicio de Cirugía General y Aparato Digestivo, Hospital Insular, Las Palmas de Gran Canaria.

Nutricion Hospitalaria
|May 1, 1991
PubMed
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Comparing ideal weight tables reveals significant differences in classifying malnutrition and obesity. The Barcelona and Tenerife tables showed the most variation, impacting patient categorization.

Area of Science:

  • Nutrition Science
  • Public Health
  • Biostatistics

Background:

  • Accurate ideal weight calculation is crucial for clinical assessment and public health.
  • Existing ideal weight tables (WHO, USA, Barcelona, Tenerife) vary, potentially leading to inconsistent patient classification.
  • A comparative analysis is needed to understand these discrepancies within a specific population.

Purpose of the Study:

  • To compare the classification of ideal weight using four different tables (WHO, USA, Barcelona, Tenerife) in the same population.
  • To identify significant differences in categorizing individuals into malnutrition, normal weight, and obesity groups.
  • To highlight the extent of variation between the most divergent tables.

Main Methods:

  • A comparative study design was employed.

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  • Four distinct ideal weight tables were applied to a single population cohort.
  • Statistical analysis was performed to determine significant differences in classification outcomes (p<0.001).

    • Main Results:

    • Significant differences (p<0.001) were observed among the four ideal weight tables in classifying patients.
    • The Barcelona and Tenerife tables exhibited the maximum discrepancies.
    • These tables classified 13.7% and 24.05% of the population as malnourished, and 35.9% and 16.89% as obese, respectively.

    Conclusions:

    • The choice of ideal weight table significantly impacts the classification of nutritional status (malnutrition, normal, obesity).
    • Healthcare professionals should be aware of the variability between different ideal weight assessment tools.
    • Further research may be warranted to establish population-specific or universally applicable ideal weight standards.