Validity of a Three-Dimensional Body Scanner: Comparison Against a 4-Compartment Model and Dual Energy X-Ray Absorptiometry

Author(s):  
Hannah E. Cabre ◽  
Malia N.M. Blue ◽  
Katie R. Hirsch ◽  
Gabrielle J Brewer ◽  
Lacey Marie Gould ◽  
...  

Three-dimensional (3D) body scanner technology for body composition assessment is expanding. The aim of this study was to assess the validity of a 3D body scanner. 194 participants (43% male; Age: 23.52±5.47 yrs; BMI: 23.98±3.24 kg·m-2) were measured using 3D scanner and a 4-compartment (4C) model utilizing DXA, air displacement plethysmography, and bioelectrical impedance spectroscopy. Dependent t-tests, validity statistics including total error (TE), standard error of the estimate (SEE), constant error, and Bland-Altman analyses were utilized. Compared to 4C, 3D scanner FM [mean difference (MD; 3D- 4C): 2.66 kg±3.32 kg] and %BF (MD: 4.13%±5.36%) were significantly (p<0.001) over-predicted; FFM was significantly underpredicted (MD: -3.15 kg±4.75 kg; p<0.001). 3D demonstrated poor validity indicated by TE (%BF: 5.61%; FM: 4.50 kg; FFM: 5.69 kg). In contrast, there were no significant differences between 3D and DXA measures; 3D scanner demonstrated acceptable measurement for %BF (TE: 4.25%), FM (TE: 2.92 kg), and LM (TE: 3.86 kg). Compared to the 4C criterion, high TE values indicated 3D estimates were not valid. In contrast, 3D estimates produced acceptable measurement agreement when compared to DXA; an average overestimation of %BF by 5.31% (vs. 4C) and 4.20% (vs. DXA) may be expected. Novelty: • 3D body composition estimates are not valid compared to the 4-compartment criterion model. • 3D estimates appeared to be more valid in females, compared to males. • When compared to DXA, 3D estimates were acceptable.

2018 ◽  
Author(s):  
Carla M Prado ◽  
Camila LP Oliveira ◽  
M Cristina Gonzalez ◽  
Steven B Heymsfield

Body composition assessment is an important tool in both clinical and research settings able to characterize the nutritional status of individuals in various physiologic and pathologic conditions. Health care professionals can use the information acquired by body composition analysis for the prevention and treatment of diseases, ultimately improving health status. Here we describe commonly used techniques to assess body composition in healthy individuals, including dual-energy x-ray absorptiometry, bioelectrical impedance analysis, air displacement plethysmography, and ultrasonography. Understanding the key underlying concept(s) of each assessment method, as well as its advantages and limitations, facilitates selection of the method of choice and the method of the compartment of interest. This review contains 5 figures, 3 tables and 52 references Key words: air displacement plethysmography, bioelectrical impedance analysis, body composition, disease, dual-energy x-ray absorptiometry, health, muscle mass, nutritional status, obesity, sarcopenia, ultrasound fat mass


2018 ◽  
Vol 43 (7) ◽  
pp. 742-746 ◽  
Author(s):  
Malia N.M. Blue ◽  
Katie R. Hirsch ◽  
Eric T. Trexler ◽  
Abbie E. Smith-Ryan

The purpose of the present study was to assess the validity of dual-energy X-ray absorptiometry (DXA) to estimate body volume (BV) for use in a 4-compartment (4C) body composition model in an overweight/obese population. Body composition of 61 overweight/obese adults (age: 37.3 ± 10.0 years; height: 170.2 ± 9.5 cm; body mass: 97.1 ± 17.4 kg) was measured by 2 methods: a criterion 4C model and a DXA-derived BV 4C model. For both models, bioelectrical impedance spectroscopy was used to estimate total body water; total body bone mineral content was measured by a full-body DXA scan. For the criterion 4C model, BV was derived from air displacement plethysmography; for the DXA-4C model, BV was derived from previously published coefficients. Total error (TE) and standard error of the estimate (SEE) values for BV (TE = 1.11 L; SEE = 0.01 L) and body fat percentage (%fat) (TE = 2.92%; SEE = 0.32%) represented good to very good agreement between models. The DXA-derived measures of body composition (BV: 96.6 ± 18.1 L; %fat: 39.5% ± 8.1%; fat mass: 38.5 ± 11.9 kg), were significantly greater (p < 0.001) than 4C criterion measures (BV: 95.7 ± 17.6 L; %fat: 37.0% ± 7.6%; FM: 36.0 ± 10.8 kg) with the exception of lean mass, which was significantly lower (p < 0.001; DXA-4C: 58.2 ± 11.2 kg; criterion 4C: 60.7 ± 12.0 kg). Although small statistically significant mean differences were observed, TE and SEE results support the use of the DXA-4C method, which requires less time and equipment, for valid estimates of body composition in overweight/obese individuals.


2000 ◽  
Vol 89 (2) ◽  
pp. 613-620 ◽  
Author(s):  
David A. Fields ◽  
Michael I. Goran

The purpose of this study was to compare the accuracy, precision, and bias of fat mass (FM) as assessed by dual-energy X-ray absorptiometry (DXA), hydrostatic weighing (HW), air-displacement plethysmography (PM) using the BOD POD body composition system and total body water (TBW) against the four-compartment (4C) model in 25 children (11.4 ± 1.4 yr). The regression between FM by the 4C model and by DXA deviated significantly from the line of identity (FM by 4C model = 0.84 × FM by DXA + 0.95 kg; R 2 = 0.95), as did the regression between FM by 4C model and by TBW (FM by 4C model = 0.85 × FM by TBW − 0.89 kg; R 2 = 0.98). The regression between FM by the 4C model and by HW did not significantly deviate from the line of identity (FM by 4C model = 1.09 × FM by HW + 0.94 kg; R 2 = 0.95) and neither did the regression between FM by 4C (using density assessed by PM) and by PM (FM by 4C model = 1.03 × FM by PM + 0.88; R 2 = 0.97). DXA, HW, and TBW all showed a bias in the estimate of FM, but there was no bias for PM. In conclusion, PM was the only technique that could accurately, precisely, and without bias estimate FM in 9- to 14-yr-old children.


2008 ◽  
Vol 100 (4) ◽  
pp. 918-924 ◽  
Author(s):  
Stefano Lazzer ◽  
Giorgio Bedogni ◽  
Fiorenza Agosti ◽  
Alessandra De Col ◽  
Daniela Mornati ◽  
...  

The objectives of the present study were to compare body composition assessed by dual-energy X-ray absorptiometry (DXA), air displacement plethysmography (ADP) and bioelectrical impedance analysis (BIA) in severely obese Caucasian children and adolescents and to develop and validate new equations for predicting body composition from BIA using DXA as the reference method. Body composition was assessed in fifty-eight obese children and adolescents (BMI 34·4 (sd 4·9) kg/m2) aged 10–17 years by DXA, ADP and BIA. ADP body fat content was estimated from body density using equations devised by Siri (ADPSiri) and Lohman (ADPLohman). In the whole sample, the Bland–Altman test showed that ADPSiri and ADPLohman underestimated percentage fat mass (%FM) by 2·1 (sd 3·4) and by 3·8 (sd 3·3) percent units (P < 0·001), respectively, compared to DXA. In addition, compared to DXA, BIA underestimated %FM by 5·8 (sd 4·6) percent units in the whole group (P < 0·001). A new prediction equation (FFM (kg) = 0·87 × (stature2/body impedance)+3·1) was developed on the pooled sample and cross-validated on an external group of sixty-one obese children and adolescents. The difference between predicted and measured FFM in the external group was − 1·6 (sd 2·9) kg (P < 0·001) and FFM was predicted accurately (error < 5 %) in 75 % of subjects. In conclusion, DXA, ADP and the BIA are not interchangeable for the assessment of %FM in severely obese children and adolescents. The new prediction equation offers an alternative approach to DXA for the estimation of body composition in severely obese children and adolescents.


2021 ◽  
pp. 1-39
Author(s):  
Abbie E. Smith-Ryan ◽  
Gabrielle J. Brewer ◽  
Lacey M. Gould ◽  
Malia N.M. Blue ◽  
Katie R. Hirsch ◽  
...  

Abstract Understanding the effects of acute feeding on body composition and metabolic measures is essential to the translational component and practical application of measurement and clinical use. To investigate the influence of acute feeding on the validity of dual energy x-ray absorptiometry (DXA), a four-compartment model (4C), and indirect calorimetry metabolic outcomes, 39 healthy young adults (n=19 females; age: 21.8± 3.1 yrs, weight; 71.5 ± 10.0 kg) participated in a randomized cross-over study. Subjects were provided one of four randomized meals on separate occasions (high carbohydrate, high protein, ad libitum or fasted baseline) prior to body composition and metabolic assessments. Regardless of macronutrient content, acute feeding increased DXA percent body fat (%fat) for the total sample and females [average constant error (CE):-0.30%; total error (TE): 2.34%), although not significant (p=0.062); the error in males was minimal (CE: 0.11%; TE: 0.86%). DXA fat mass (CE: 0.26 kg; TE: 0.75 kg), lean mass (CE: 0.83 kg; TE: 1.23 kg) were not altered beyond measurement error for the total sample. 4C %fat was significantly impacted from all acute feedings (avg CE: 0.46%; TE: 3.7%). 4C fat mass (CE: 0.71 kg; TE: 3.38 kg) and fat-free mass (CE: 0.55 kg; TE: 3.05 kg) exceeded measurement error for the total sample. Resting metabolic rate was increased for each feeding condition (TE: 398.4 kcal/d). Standard pre-testing fasting guidelines may be important when evaluating DXA and 4C %fat, whereas additional DXA variables (FM, LM) may not be significantly impacted by an acute meal. Measuring body composition via DXA under less stringent pre-testing guidelines may be valid and increase feasibility of testing in clinical settings.


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