PROMs

BMI Clinical Workflow

BMI flow

Introduction

The BMI measure was conceptualized by Adolphe Quetelet in On Man and the Development of his Faculties, or Essays on Social Physics published in 1842. For 130 years, the BMI was largely unevaluated and unused by the research community until 1972, when Ancel Keys, a nutritional epidemiologist and physician, identified this ratio as a suitable proxy for determining body fat percentages within the population [1]. The BMI is a convenient clinical and epidemiological metric for identifying and monitoring obesity prevalence [2].

The BMI flow contains the BMI questionnaire and associated calculation. After form submission, the BMI calculation is executed automatically. It's easy to extend this flow with conditional logic based on the interpretation of the BMI calculation.

BMI questionnaire

Questions

The patient is asked to provide weight in kg and hight in cm.

Interpretation

The BMI can be catagorized as follows:

  • Severely underweight - BMI less than 16.5kg/m^2
  • Underweight - BMI under 18.5 kg/m^2
  • Normal weight - BMI greater than or equal to 18.5 to 24.9 kg/m^2
  • Overweight – BMI greater than or equal to 25 to 29.9 kg/m^2
  • Obesity – BMI greater than or equal to 30 kg/m^2

Asian and South Asian population:

  • overweight - BMI between 23 and 24.9 kg/m^2
  • obesity - BMI greater than 25 kg/m^2

Ethnicity as well as athletic status can influence the obesity risk and the catagorization based on BMI would need to be adjusted.[3]

References

[1] Keys A, Fidanza F, Karvonen MJ, Kimura N, & Taylor HL (1972). Indices of relative weight and obesity. Journal of Chronic Diseases, 25(6), 329–343.\
[2] Frellick M (2013). AMA Declares Obesity a Disease.\
[3] Weir CB, Jan A. BMI Classification Percentile And Cut Off Points. In: StatPearls. Treasure Island (FL): StatPearls Publishing; December 7, 2019.

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