Please use this identifier to cite or link to this item:
Title: Validation of bioelectric impedance analysis for the assessment of body composition in Young Adult Thai Women
Authors: Arpalak Paksaichol
Ganyapong Chaturapanich
Chumpol Pholpramool
Keywords: Bioelectric impedance analysis;BIA;Body composition;Menstrual cycle;Prediction equation;Thai women
Issue Date: 2013
Publisher: Physiological Society of Thailand
Citation: Paksaichol A, Chaturapanich G, Pholpramool C. Validation of bioelectric impedance analysis for the assessment of body composition in Young Adult Thai Women. Journal of Physiological and Biomedical Sciences 2013;26(2):69-75.
Abstract: Obesity imposes high risks of metabolic diseases that become a major health concern in many countries. An accurate assessment of body composition is, therefore, required in the evaluation of body fatness of the population and hence in preventing the diseases. Bioelectric impedance analysis (BIA) has great potential in the assessment of body composition of population in field studies. However, BIA is sex, age and ethnic specific. Currently, a prediction equation for Thais is still not available. In addition, the influences of alterations in body fluids during menstrual cycle in women on BIA are in controversy. This study attempted to establish a BIA equation for young adult Thai women (age 18-29 years) using the body density determined by an underwater weighing as a criterion method, and to re-evaluate the effect of menstruation of BIA. Results showed that BIA values were not significantly changed in different phases of menstrual cycle. For the women with percentage body fat (%BF) less than 30%, Lohman’s equation for BIA of the women at the same age range was acceptable. On the other hand, body weight and resistance were the main attributes of BIA for overweight and obese women with %BF greater than 30%. A prediction BIA equation for this population is fat-free mass = 0.61 body weight – 0.003 resistance + 0.66. The coefficient of correlation ®, multiple regression (R2), and standard error of estimate (SEE) are, respectively, 0.98, 0.97, and 0.92.
ISSN: 0857-5754
Appears in Collections:Physiology: National Journal Publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.