Paper Information

Journal:   JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S)   1ST WEEK SEPTEMBER 2014 , Volume 32 , Number 292; Page(s) 1 To 8.
 
Paper: 

USING ANTHROPOMETRIC INDICES PREDICTIVE EQUATIONS FOR ESTIMATING WHOLE BODY FAT MASS INSTEAD OF WHOLE BODY DXA SCAN

 
 
Author(s):  SALAMAT MOHAMMAD REZA, SHANEI AHMAD, ASGARI MAHDI*, SALAMAT AMIRHOSSEIN, KHOSHHALI MEHRI
 
* DEPARTMENT OF MEDICAL PHYSICS AND MEDICAL ENGINEERING, SCHOOL OF MEDICINE, ISFAHAN UNIVERSITY OF MEDICAL SCIENCES, ISFAHAN, IRAN
 
Abstract: 

Background: This study has been designed to predict whole-body fat mass by various anthropometric indices (waist circumference (WC), waist-to-height ratio (WHtR), hip circumference (HC), waist-tohip ratio (WHR) and body mass index (BMI)). Cost and radiation dose reduction are the advantages of this prediction compared to whole body DXA scan.
Methods: For this study, whole-body composition was measured with dual-energy X-ray Absorptiometry (DXA) for 143 adult patients who referred to Isfahan Osteoporosis Diagnosis Center. Values of weight, height, waist and hip circumferences were measured and BMI, waist-hip ratio and waist-to-height ratio was calculated. Datasets were split randomly into two parts, the derivation set with 100 subjects and validation set with 43 subjects. Multiple regression analysis with back ward stepwise elimination procedure was used for derivation set and then the estimates were compared with the actual measurements.
Findings: Using multiple linear regression analyses, the best equation for predicting whole-body fat mass (R2
= 0.808) included BMI and gender.
Conclusion: The present study showed that BMI is the best anthropometric predictor of whole-body fat mass (adjusted R2
= 0.680 and SSE = 999.42).

 
Keyword(s): DUAL-ENERGY X-RAY ABSORPTIOMETRY (DXA), ANTHROPOMETRY
 
References: 
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