| relative_fat_mass | R Documentation |
Calculates the Relative Fat Mass (RFM), an estimator of whole-body fat percentage based on the ratio of height to waist circumference. It has been shown to be more accurate than BMI for diagnosing obesity.
relative_fat_mass(sex, height, waist, units = "cm")
sex |
String. Patient sex ("Male" or "Female"). |
height |
Numeric. Height. (Units must match waist). |
waist |
Numeric. Waist circumference. (Units must match height). |
units |
String. Units of measurement (e.g., "cm" or "in"). Used for display only; the ratio is unit-independent as long as both inputs match. |
The formula is:
Men: 64 - (20 \times \frac{Height}{Waist})
Women: 76 - (20 \times \frac{Height}{Waist})
Cutoffs for obesity are typically cited as \ge 22.8% for men and \ge 33.9% for women.
A list containing:
RFM_Percentage |
The estimated body fat percentage. |
Interpretation |
Classification as Obese or Non-Obese based on validation cutoffs. |
Woolcott OO, Bergman RN. Relative fat mass (RFM) as a new estimator of whole-body fat percentage A cross-sectional study in American adult individuals. Sci Rep. 2018;8(1):10980. doi:10.1038/s41598-018-29362-1
# Example 1: Male
# Height 180 cm, Waist 90 cm (Ratio 2.0)
# RFM = 64 - (20 * 2) = 24%
relative_fat_mass("male", 180, 90)
# Example 2: Female
# Height 165 cm, Waist 80 cm (Ratio 2.06)
# RFM = 76 - (20 * 2.06) = 34.8%
relative_fat_mass("female", 165, 80)
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