InBody 720, Tanita BC-480, fat mass index, fat free mass index, percent body fat. .... Email: [email protected] [email protected]. 11. 12. Ali Madi ...
International Journal of Diabetes in Developing Countries New cutoff values of fat mass index, fat free mass index and percent body fat in overweight and obese men living in Riyadh, SA --Manuscript Draft-Manuscript Number:
JDDC-D-15-00027R1
Full Title:
New cutoff values of fat mass index, fat free mass index and percent body fat in overweight and obese men living in Riyadh, SA
Article Type:
Manuscript
Keywords:
InBody 720, Tanita BC-480, fat mass index, fat free mass index, percent body fat.
Corresponding Author:
Mahmoud Mustafa Abulmeaty, M.D. king saud university riyadh, SAUDI ARABIA
Corresponding Author Secondary Information: Corresponding Author's Institution:
king saud university
Corresponding Author's Secondary Institution: First Author:
Mahmoud Mustafa Abulmeaty, M.D.
First Author Secondary Information: Order of Authors:
Mahmoud Mustafa Abulmeaty, M.D. ali m almajwal, assistant professor heba m hassan, Research assistant
Order of Authors Secondary Information: Funding Information:
Deanship of Scientific Researchat King Saudi University (RGP-VPP-193)
Abstract:
ABSTRACT Background and aim: Frequent clinical uses of bioelectrical impedance analysis (BIA) devices makes clinical evaluation of BIA-based parameters are mandatory. This study was done to define new cutoff points of fat mass index, fat free mass index and percent body fat for overweight and obese men living in Riyadh, KSA. Methodology: 362 male subjects aged from 18-62 were enrolled in a cross sectional study. Participants were divided into 2 groups; one group was assessed by InBody 720 (n=179) and the other by Tanita BC-418 (n=183) devices. Fat mass, fat mass index (FMI), fat free mass, fat free mass index (FFMI), percent body fat (PBF) were measured. In addition, anthropometric measures such as weight, height, body mass index (BMI), waist circumference, hip circumference, waist hip ratio and mid arm circumference were included. Pearson correlation coefficient, Kappa analysis and ROC curves were used. Results: FMI had the strongest positive correlation with BMI among all measured BIAbased parameters in both InBody and Tanita groups (r=0.916 and 0.958 respectively, P27.5 kg/m2) (14). WC was determined by measuring waist diameter at midpoint between iliac crest and lower border of the tenth rib. An average of two measurements was considered as WC. HC was assessed on lateral position by measuring the circumference at the most prominent point also an average of two measurements was used as HC. Waist hip ratio (WHR) was calculated by dividing WC on HC. Because of the local culture, WC, HC and MAC were measured on wearing one layer of clothes, but weight and height were measured with no shoes.
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All descriptive characteristics and ethnic comparison of all study population are shown in Table1 in form of means±SD and ranges of measures. There were no significance ethnic
Bioelectrical impedance analysis BIA analysis was done using InBody 720 (InBody, Biospace, Korea) and Tanita BC-418 (Tanita corporation, Japan). The subject was asked to first wipe the sole of the feet and palms of the hands with an electrolyte tissue, and then stand over the foot electrodes of the machine. Participant’s data were entered then he gently asked to handle the hand electrodes. Parameters recorded by InBody 720 included; body weight, BMI (height is manually inputted), obesity degree, protein mass, mineral mass, total body water, intracellular and extracellular water, skeletal muscle mass, fat free mass (FFM), fat mass (FM), percent body fat (PBF), visceral fat area (VFA) and fitness scoring based on the target values for ideal body fitness. In other hand Tanita BC418 measured the body weight, BMI, total body water, fat free mass (FFM), fat mass (FM), percent body fat (PBF) and visceral fat rating. Furthermore, both devices calculated the regional fat, muscle distributions in trunk and extremities. BIA devices emits many frequencies of electric current (for InBody 720;1kHz, 5kHz, 50kHz, 250kHz, 500kHz and 1MHz, while Tanita emits 50 and 500 kHz). This multifrequency technology especially 5kHz, 50kHz and 250kHz were used more accurately to measure the resistance, reactance, and components of body impedance that will be used to accurately calculate body water, FM, FFM, etc. Fat mass index (FMI) was calculated by dividing FM in kg by square of height in meter, its results expressed in Kg/m2. Fat free mass index was calculated by the same manner (FFM (kg)/wt2 (m2)) (15). Statistical analysis Statistical analysis was performed using SPSS for Windows (version 22; SPSS Inc., Chicago, IL, USA). Data were summarized with mean, standard deviation (SD) and range. Mann‐Whitney test was used to differentiate between the ethnic groups. Pearson’s correlation coefficient was used to demonstrate the correlation between the study parameters. P≤0.05 was considered statistically significant. Kappa analysis was used to study the agreement between the BMI and FMI or PBF with 95% confidence interval. ROC curves were used to detect obesity and identify new cutoff points with a higher sensitivity (true positive rate) and specificity (true negative rate) of FMI and FFMI and PBF. Results
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differences between Saudi and non-Saudi males using Mann‐Whitney test. Table 2 shows correlation matrix with Pearson correlation coefficient of measured variables. Pearson correlation showed that FMI which was measured by InBody device had a strong positive correlation with BMI (r=0.916, P
