Development and Validation of a Simple Equation to Predict Fat-Free Mass in the Adult Population

Estimating Fat-Free Mass (FFM) is an integral part of Body composition measurements, so obtaining an accurate estimation for evaluating FFM is critical for researchers and specialists. We aimed to develop and validate a simple equation for predicting FFM in the adult population. Participants were 19...

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Bibliographic Details
Published in:Iranian journal of public health 2023-02, Vol.52 (2), p.389-398
Main Authors: Saboor, Mohsen, Samadani, Mahsa, Zare Javid, Ahmad, Kazemi, Parvaneh, Sharifat, Morteza, Bavi Behbahani, Hossein, Cheraghian, Bahman
Format: Article
Language:English
Subjects:
Adults
Bioelectricity
Body composition
Body fat
Body mass index
Chronic illnesses
Coefficient of variation
Demographic variables
Demographics
Demography
Derivation
Estimation
Evaluation
Fat-free
Fat-free body mass
Metabolism
Methods
Nutrition
Obesity
Original
Population
Public health
Sex
Standard error
Variables
Womens health
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Summary:Estimating Fat-Free Mass (FFM) is an integral part of Body composition measurements, so obtaining an accurate estimation for evaluating FFM is critical for researchers and specialists. We aimed to develop and validate a simple equation for predicting FFM in the adult population. Participants were 1996 adults (1085 men and 911 women), and 18 to 69 years old from Ahvaz City, southern Iran. They were randomly divided into the derivation (n=1396) and the validation (n=600) groups with no significant differences from Jan 2018 to Feb 2020. FFM was measured by Bioelectrical Impedance Analyzer (BIA) (InBody 770©; Biospace, Seoul, South Korea). Based on the demographic variables retrieved from the Derivation group, 8 FFM predictive equations were developed using multiple regression; finally, the most accurate model (using the coefficient of determination (R2)) was chosen and then validated on the Validation group for more evaluation. The best equation derived from demographic characteristics was: "FFM= 0.28 × Weight (kg) + 0.57×Height (cm)+7.35×Sex (M=1, F=0)+0.03×Age (years)-70.61"; where sex = 1 for male and 0 for female. R=0.94, R2=0.89, standard error of the estimate=4.04 kg. Our developed and cross-validated anthropometric prediction equation for fat-free mass estimation using BIA attained a high coefficient of determination, a low standard error of the estimate, and the lowermost coefficient of variation. Predictive equations may be reliable and valuable alternative methods for the clinical evaluation of fat-free mass in the adult population.
ISSN:2251-6085
2251-6093
DOI:10.18502/ijph.v52i2.11892