scholarly journals Comparison of Dual-Energy X-Ray Absorptiometry (DXA) versus a Multi-frequency Bioelectrical Impedance (InBody 770) Device for Body Composition Assessment after a 4-Week Hypoenergetic Diet

2019 ◽  
Vol 4 (2) ◽  
pp. 23 ◽  
Author(s):  
Antonio ◽  
Kenyon ◽  
Ellerbroek ◽  
Carson ◽  
Burgess ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Intake ◽  
Body Fat ◽  
Fat Mass ◽  
Bioelectrical Impedance ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Percent Body Fat ◽  
Men And Women ◽  
X Ray

The purpose of this investigation was to compare two different methods of assessing body composition (i.e., a multi-frequency bioelectrical impedance analysis (MF-BIA) and dual-energy x-ray absorptiometry (DXA)) over a four-week treatment period in exercise-trained men and women. Subjects were instructed to reduce their energy intake while maintaining the same exercise regimen for a period of four weeks. Pre and post assessments for body composition (i.e., fat-free mass, fat mass, percent body fat) were determined via the MF-BIA and DXA. On average, subjects reduced their energy intake by ~18 percent. The MF-BIA underestimated fat mass and percentage body fat and overestimated fat-free mass in comparison to the DXA. However, when assessing the change in fat mass, fat-free mass or percent body fat, there were no statistically significant differences between the MF-BIA vs. DXA. Overall, the change in percent body fat using the DXA vs. the MF-BIA was −1.3 ± 0.9 and −1.4 ± 1.8, respectively. Our data suggest that when tracking body composition over a period of four weeks, the MF-BIA may be a viable alternative to the DXA in exercise-trained men and women.

scholarly journals Identification of and Associations among Low, Middle, and High Body Composition Trajectories from Age 5- to 17-Years

Children ◽  
2020 ◽  
Vol 7 (10) ◽  
pp. 192
Author(s):  
Teresa A. Marshall ◽  
Alexandra M. Curtis ◽  
Joseph E. Cavanaugh ◽  
John J. Warren ◽  
Steven M. Levy
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Clinical Settings ◽  
Fat Mass Index ◽  
X Ray ◽  
Body Composition Measure ◽  
Dxa Scans

Our objective was to identify sex-specific age 5- to 17-year body composition (body mass index (BMI), % body fat, fat mass index, fat-free mass index) trajectories, compare trajectories assigned using age 5 (AGE5) data to those assigned using all available (ALL) data, and compare BMI assignments to other body composition assignments. Cluster analysis was used to identify low, medium, and high trajectories from body composition measures obtained from dual energy x-ray absorptiometry (DXA) scans at 5, 9, 11, 13, 15, and 17 years in a birth cohort followed longitudinally (n = 469). Moderate agreement was observed for comparisons between AGE5 data and ALL data cluster assignments for each body composition measure. Agreement between cluster assignments for BMI and other body composition measures was stronger using ALL data than using AGE5 data. Our results suggest that BMI, % body fat, fat mass index, and fat free mass index trajectories are established during early childhood, and that BMI is a reasonable predictor of body composition appropriate to track obesity in public health and clinical settings.

scholarly journals Validation of foot-to-foot bioelectrical impedance analysis with dual-energy X-ray absorptiometry in the assessment of body composition in young children: the EarlyBird cohort

2006 ◽  
Vol 96 (6) ◽  
pp. 1163-1168 ◽  
Author(s):  
Joanne Hosking ◽  
Brad S. Metcalf ◽  
Alison N. Jeffery ◽  
Linda D. Voss ◽  
Terence J. Wilkin
Keyword(s):  
Body Composition ◽  
Young Children ◽  
Fat Mass ◽  
Bioelectrical Impedance Analysis ◽  
Large Scale ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Dual Energy ◽  
Fat Free Mass ◽  
X Ray

Foot-to-foot bioelectrical impedance analysis (BIA) is simple and non-invasive, making it particularly suitable for use in children. There is insufficient evidence of the validity of foot-to-foot BIA compared with dual-energy X-ray absorptiometry (DEXA) as the criterion method in healthy young children. Our objective was to assess the validity of foot-to-foot BIA against DEXA in a large cohort of healthy young children. Body composition was measured by foot-to-foot BIA and DEXA in 203 children (mean age 8·9 (sd0·3) years). Bland–Altman and simple linear regression analyses were used to determine agreement between methods. BIA overestimated fat-free mass by a mean of 2·4 % in boys and 5·7 % in girls, while fat mass was underestimated by 6·5 % in boys and 10·3 % in girls. The percentage fat recorded by BIA was, accordingly, also lower than by DEXA (boys 4·8 %; girls 12·8 %). In boys, however, there were correlations between the size of the difference between methods and the size of the measure under consideration such that in smaller boys fat-free mass was underestimated (r − 0·57;P < 0·001) while fat mass and percentage fat were overestimated (r0·74 for fat mass;r0·69 for percentage fat; bothP < 0·001) with the reverse in bigger boys. Mean differences between techniques were greater in the girls than in the boys but in boys only, the direction of the differences was dependent upon the size of the child. Therefore, BIA may be useful for large-scale studies but is not interchangeable with DEXA and should be interpreted with caution in individuals.

scholarly journals Comparisons of a Multi-Frequency Bioelectrical Impedance Analysis to the Dual-Energy X-Ray Absorptiometry Scan in Healthy Young Adults Depending on their Physical Activity Level

2015 ◽  
Vol 47 (1) ◽  
pp. 73-80 ◽  
Author(s):  
Julien Verney ◽  
Chloé Schwartz ◽  
Saliha Amiche ◽  
Bruno Pereira ◽  
David Thivel
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Body Composition ◽  
Fat Mass ◽  
Physical Activity Level ◽  
Bioelectrical Impedance ◽  
Dual Energy ◽  
Activity Level ◽  
Fat Free Mass ◽  
X Ray

AbstractThis study aimed at comparing BIA and DXA results in assessing body composition in young adults depending on their physical activity level. Eighty healthy 19-30 years old subjects were enrolled and their body composition (Fat Mass and Fat-Free Mass) was assessed by dual-energy X-ray absorptiometry (DXA) and by a newly developed Bioelectrical Impedance Analyzer (BIA - Tanita MC780). A seven-day physical activity level was assessed using a 3-axial accelerometer. DXA-FM% and BIA-FM% were correlated (p<0.001; r= 0.852; ICC [IC95%]: 0.84 [0.75 – 0.90]; concordance coefficient: 0.844). DXA-FFM and BIA FFM were correlated (p<0.001; r=0.976; ICC [IC95%]: 0.95 [0.93 – 0.97], concordance coefficient: 0.955). DXA and BIA measurements of FM% and FFM were highly correlated in both boys and girls regardless of the physical activity level. Compared with DXA scans, newly developed bioelectrical impedance analyzers provide satisfactory fat mass and lean mass measures in healthy young women and men, despite their physical activity level.

Validation of a portable bioelectrical impedance analyzer for the assessment of body composition

2013 ◽  
Vol 38 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Antony D. Karelis ◽  
Gabriel Chamberland ◽  
Mylène Aubertin-Leheudre ◽  
Christian Duval ◽  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Convergent Validity ◽  
Field Research ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Systematic Bias ◽  
Men And Women ◽  
Bioelectrical Impedance Analyzer

One of the major challenges in field research has been the difficulty to adequately measure body composition, such as % body fat and fat-free mass (FFM). Therefore, the purpose of the present study was to investigate the convergent validity of the portable bioelectrical impedance body composition analyzer, the Inbody 230, with dual X-ray absorptiometry (DXA) (General Electric Lunar Prodigy). The study population consisted of 145 men and women (age, 44.6 ± 20 years; BMI, 24.5 ± 3.8 kg·m–2). We measured body composition (fat mass, % body fat, total FFM, trunk FFM, and appendicular FFM) using DXA and the Inbody 230. Results show strong significant correlations between both methods for fat mass, % body fat, total FFM, and trunk FFM (r = 0.94–0.99). Furthermore, we showed a modest significant correlation between both methods for appendicular FFM (r = 0.63). Finally, as shown by Bland–Altman analysis, no significant biases were observed between Inbody 230 and DXA for fat mass, % body fat, and total FFM. However, trunk and appendicular FFM were shown to have significant biases between the Inbody 230 and DXA. In conclusion, the present study indicated that the portable Inbody 230 may be an acceptable device to measure fat mass, % body fat, and total FFM (except for women) in healthy adults. In addition, there appears to be a systematic bias for the estimation of trunk and appendicular FFM with the Inbody 230 in men and women.

Changes in body weight, composition, and shape: a 4-year study of college students

2012 ◽  
Vol 37 (6) ◽  
pp. 1118-1123 ◽  
Author(s):  
Sareen S. Gropper ◽  
Karla P. Simmons ◽  
Lenda Jo Connell ◽  
Pamela V. Ulrich
Keyword(s):  
College Students ◽  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Fat Mass ◽  
Bioelectrical Impedance ◽  
Normal Weight ◽  
Fat Free Mass ◽  
Percent Body Fat ◽  
Normal Weight Obesity

The objectives of this study were to examine changes in body weight, body mass index (BMI), body composition, and shape in a group of male and female students over the 4-year college period. Anthropometric assessments including height and weight (via standard techniques), body composition (via bioelectrical impedance analysis), and body shape (via 3-dimensional body scanning) were conducted at the beginning of the freshman year and end of the senior year in 131 college students. Four-year changes included significant (p < 0.0001) gains in weight (3.0 kg), BMI (1.0 kg·m–2), body fat (3.6%), and absolute fat mass (3.2 kg). Males gained significantly (p < 0.0001) greater amounts of weight, BMI, percent and absolute fat mass, and fat-free mass than females. Weight change ranged from –8.7 to +16.8 kg. About 70% of the participants gained weight, which averaged 5.3 kg; significant (p < 0.0001) gains in BMI, fat-free mass, absolute fat mass, and percent body fat and significant (p < 0.0005) increases in neck, chest–bust, waist, hips, seat, and biceps circumferences were also observed in this weight gain group. The percentage of participants classified as overweight–obese increased from 18% to 31%. The number of females and males with ≥30% and 20% body fat, respectively, increased from n = 14 to n = 26 (with n = 4 exhibiting normal weight obesity) over the 4-year period. The waist circumference changes were significantly (p < 0.0001) correlated with both weight and percent body fat changes. In conclusion, the increasing prevalence of obesity and normal weight obesity among this college population suggests the need for additional health promotion strategies on college campuses.

Reliability and validity of body composition measures in female athletes

1999 ◽  
Vol 87 (3) ◽  
pp. 1114-1122 ◽  
Author(s):  
Willa C. Fornetti ◽  
James M. Pivarnik ◽  
Jeanne M. Foley ◽  
Justus J. Fiechtner
Keyword(s):  
Body Composition ◽  
Near Infrared ◽  
Female Athletes ◽  
Reliability And Validity ◽  
Bioelectrical Impedance ◽  
Single Equation ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Prediction Errors ◽  
X Ray

The purpose of this investigation was to determine the reliability and validity of bioelectrical impedance (BIA) and near-infrared interactance (NIR) for estimating body composition in female athletes. Dual-energy X-ray absorptiometry was used as the criterion measure for fat-free mass (FFM). Studies were performed in 132 athletes [age = 20.4 ± 1.5 (SD) yr]. Intraclass reliabilities (repeat and single trial) were 0.987–0.997 for BIA (resistance and reactance) and 0.957–0.980 for NIR (optical densities). Validity of BIA and NIR was assessed by double cross-validation. Because correlations were high ( r = 0.969–0.983) and prediction errors low, a single equation was developed by using all 132 subjects for both BIA and NIR. Also, an equation was developed for all subjects by using height and weight only. Results from dual-energy X-ray absorptiometry analysis showed FFM = 49.5 ± 6.0 kg, which corresponded to %body fat (%BF) of 20.4 ± 3.1%. BIA predicted FFM at 49.4 ± 5.9 kg ( r = 0.981, SEE = 1.1), and NIR prediction was 49.5 ± 5.8 kg ( r = 0.975, SEE = 1.2). Height and weight alone predicted FFM at 49.4 ± 5.7 kg ( r = 0.961, SEE = 1.6). When converted to %BF, prediction errors were ∼1.8% for BIA and NIR and 2.9% for height and weight. Results showed BIA and NIR to be extremely reliable and valid techniques for estimating body composition in college-age female athletes.

scholarly journals Evaluation of Body Composition in Hemodialysis Thai Patients: Comparison between Two Models of Bioelectrical Impedance Analyzer and Dual-Energy X-Ray Absorptiometry

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Kulapong Jayanama ◽  
Supanee Putadechakun ◽  
Praopilad Srisuwarn ◽  
Sakda Arj-Ong Vallibhakara ◽  
Prapimporn Chattranukulchai Shantavasinkul ◽  
...  
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Hemodialysis Patients ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Maintenance Hemodialysis ◽  
Cross Sectional ◽  
X Ray ◽  
Inbody 720

Background. Body composition measurement is very important for early nutritional care in hemodialysis patients. Dual-energy X-ray absorptiometry (DXA) is a gold standard test, but clinically limited. Bioelectrical impedance analysis (BIA) with multifrequency technique is a practical and reliable tool. Objective. This cross-sectional study was aimed to compare the agreement of BIA with DXA in measurement of body composition in hemodialysis patients and to evaluate their associated factors. Methods. Body composition was measured by 2 BIA methods (InBody S10 and InBody 720) and DXA after a hemodialysis session. A total of 69 measurements were included. Pearson’s correlation and Bland and Altman analysis were used to determine the correlation of body composition between methods and to compare the methods agreement, respectively. Results. The correlation coefficients of body compositions were strong between DXA and InBody S10 (fat mass index (FMI): r=0.95, fat-free mass index (FFMI): r=0.78) and also between DXA and InBody 720 (FMI: r=0.96, FFMI: r=0.81). Comparing to DXA, the means of each body composition measured by InBody S10 method were not significantly different in each gender, but differences were found in FM, %FM, and FMI measured by InBody 720. Conclusions. In maintenance hemodialysis patients, the measurement of body composition with DXA and both BIA methods had highly significant correlations; practically, BIA method could be used as an instrument to follow FM and FFM and to measure the edematous stage. Further studies with large populations are warranted.

scholarly journals Bioelectrical Impedance and Dual-Energy X-Ray Absorptiometry Assessments of Changes in Body Composition Following Exercise in Patients with Type 2 Diabetes Mellitus

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Masae Miyatani ◽  
Pearl Yang ◽  
Scott Thomas ◽  
B. Catharine Craven ◽  
Paul Oh
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Body Composition ◽  
Bioelectrical Impedance ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Post Intervention ◽  
X Ray

We aimed to compare the level of agreement between leg-to-leg bioelectrical impedance analysis (LBIA) and dual-energy X-ray absorptiometry (DXA) for assessing changes in body composition following exercise intervention among individuals with Type 2 diabetes mellitus (T2DM). Forty-four adults with T2DM, age53.2±9.1years; BMI30.8±5.9 kg/m2participated in a 6-month exercise program with pre and post intervention assessments of body composition. Fat free mass (FFM), % body fat (%FM) and fat mass (FM) were measured by LBIA (TBF-300A) and DXA. LBIA assessments of changes in %FM and FM post intervention showed good relative agreements with DXA variables (P<0.001). However, Bland-Altman plot(s) indicated that there were systematic errors in the assessment of the changes in body composition using LBIA compared to DXA such that, the greater the changes in participant body composition, the greater the disparity in body composition data obtained via LBIA versus DXA data (FFM,P=0.013; %FM,P<0.001; FM,P<0.001). In conclusion, assessment of pre and post intervention body composition implies that LBIA is a good tool for assessment qualitative change in body composition (gain or loss) among people with T2DM but is not sufficiently sensitive to track quantitative changes in an individual’s body composition.

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