| چکیده انگلیسی مقاله |
Background: 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.
Methods: 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.
Results: 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.
Conclusion: 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. |
| نویسندگان مقاله |
| Mohsen Saboor
Department of Nutrition, School of Health, Iran University of Medical Sciences, Tehran, Iran
| Mahsa Samadani
1. Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran 2. Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran 3. Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| Ahmad Zare Javid
1. Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ah-vaz, Iran 2. Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Scienc-es, Ahvaz, Iran
| Parvaneh Kazemi
Department of Physiology, Tehran Markaz Branch, Islamic Azad University, Tehran, Iran
| Morteza Sharifat
1. Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran 2. Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ah-vaz, Iran 3. Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Scienc-es, Ahvaz, Iran
| Hossein Bavi Behbahani
1. Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran 2. Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ah-vaz, Iran 3. Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| Bahman Cheraghian
Department of Biostatistics and Epidemiology, Faculty of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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