Comparison of Total and Segmental Body Composition Using DXA and Multifrequency Bioimpedance in Collegiate Female Athletes

Abstract

The purpose of this investigation was to determine the agreement between multifrequency bioelectrical impedance analysis (BIA) and dual-energy x-ray absorptiometry (DXA) for measuring body fat percentage (BF%), fat-free mass (FFM), and total body and segmental lean soft tissue (LST) in collegiate female athletes. Forty-five female athletes (age = 21.2 ± 2.0 years, height = 166.1 ± 7.1 cm, weight = 62.6 ± 9.9 kg) participated in this study. Variables measured through BIA and DXA were as follows: BF%, FFM, and LST of the arms (ARMS(LST)), the legs (LEGS(LST)), the trunk (TRUNK(LST)), and the total body (TOTAL(LST)). Compared with the DXA, the InBody 720 provided significantly lower values for BF% (-3.3%, p < 0.001) and significantly higher values for FFM (2.1 kg, p < 0.001) with limits of agreement (1.96 SD of the mean difference) of ±5.6% for BF% and ±3.7 kg for FFM. No significant differences (p < 0.008) existed between the 2 devices (InBody 720-DXA) for ARMS(LST) (0.05 kg), TRUNK(LST) (0.14 kg), LEGS(LST) (-0.4 kg), and TOTAL(LST) (-0.21 kg). The limits of agreement were ±0.79 kg for ARMS(LST), ±2.62 kg for LEGS(LST), ±3.18 kg for TRUNK(LST), and ±4.23 kg for TOTAL(LST). This study found discrepancies in BF% and FFM between the 2 devices. However, the InBody 720 and DXA appeared to provide excellent agreement for measuring total body and segmental LST. Therefore, the InBody 720 may be a rapid noninvasive method to assess LST in female athletes when DXA is not available.

Anthropometric Characteristics of Elite Japanese Female Wrestlers

“…Among those studies, the participants in Esco et al (2014) shared a similar background with those in the present study as young female athletes (age = 21.2 ± 2.0 years, height = 166.1 ± 7.1 cm, weight = 62.6 ± 9.9 kg). Esco et al underestimated body fat by 3.3% with InBody compared to DXA, which means an overestimation of FFMI with multi-frequency bioelectrical analysis (Esco et al, 2014). In reckoning the possible impact of an underestimation of 3.3% for body fat percentage, the calculation follows that an overestimation of FFIM with InBody is at most +0.8%.…”

“…In the literature, extensive studies have compared the results by multi-frequency bioelectrical impedance analysis with those by DXA for assessment of body composition (Anderson, Erceg, & Schroeder, 2012;Esco et al, 2014;Leahy, O'Neill, Sohun, & Jakeman, 2012;Sun et al, 2005;Utter, & Lambeth, 2010;VelazquezAlva, Irigoyen-Camacho, Huerta-Huerta, & DelgadilloVelazquez, 2014). Among those studies, the participants in Esco et al (2014) shared a similar background with those in the present study as young female athletes (age = 21.2 ± 2.0 years, height = 166.1 ± 7.1 cm, weight = 62.6 ± 9.9 kg). Esco et al underestimated body fat by 3.3% with InBody compared to DXA, which means an overestimation of FFMI with multi-frequency bioelectrical analysis (Esco et al, 2014).…”

Associations between sleep conditions and body composition states: results of the EPISONO study

“…The measurements were controlled by a microprocessor, and data output was calculated by a manufacturer's algorithm and included total and appendicular skeletal muscle and fat masses. Previous studies have validated the use of this instrument in different contexts . Participants were submitted to anthropometric and body composition measurements right after waking up from an overnight laboratory‐based PSG.…”

“…The Epworth Sleepiness Scale, a questionnaire that classifies subjective daytime sleepiness, scoring from 0 to 24, with a score of >10 indicating excessive daytime sleepiness, was also completed . A subjective sleep assessment using the ‘Universidade Federal de São Paulo (UNIFESP)’ Sleep Questionnaire additionally included questions related to insomnia symptoms . Chronic insomnia complaint was defined as the report of regular insomnia symptoms (difficulties initiating/maintaining sleep and early morning awakenings, occurring at least three times a week, during at least 3 months) …”

Detraining effect on overweight/obese women after high‐intensity interval training in hypoxia

“…Body composition was determined by a bioelectrical impedance analysis (BIA) using a standardized body composition analyzer (Tanita BC 418 MA; Tanita Corp, Tokyo, Japan) and included an estimate of trunk fat percentage (% trunk fat; coefficient variation = 1.1% for body fat) and BMI. BIA scales are practical, safe, and have acceptable accuracy for estimating the percentage of body fat . Also, a calibration comparing outputs with skinfold measurements was performed (<2%; % fat mass measured by BIA: 38.57% [n = 112]; % fat mass measured by skinfold: 37.81% [n = 112]).…”