Dataset Information

Body Composition with Dual-Energy X-Ray Absorptiometry and Bioelectrical Impedance Analysis in Breast Cancer Survivors.

ABSTRACT: BACKGROUND:Because obesity is an independent risk factor for breast cancer recurrence, assessment of body composition is crucial to guide weight management in breast cancer survivors (BCS). This study assessed whether dual-energy x-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA) yield similar results for body composition in BCS. METHODS:Body fat percentage, lean body mass, and fat mass were estimated using DXA and BIA under fasting conditions in 89 BCS. BMI categories included normal (18-24.99 kg/m2 ; n = 28), overweight (25.0-29.9 kg/m2 ; n = 21), obese (>30 kg/m2 ; n = 23), and severely obese BCS (>35 kg/m2 ; n = 17). Agreement between the devices was assessed by Bland-Altman analysis. RESULTS:There was no agreement between the 2 devices for body fat percentage (DXA: 44.2 ± 6.2% vs BIA: 40.4 ± 7.8%), lean body mass (DXA: 39.1 ± 7.6 kg vs BIA: 42.9 ± 5.9 kg), and fat mass (DXA: 32.4 ± 10.8 kg vs BIA: 30.6 ± 11.0 kg; P < .001). These findings were consistent in normal, overweight, and obese BCS. There was agreement between the 2 devices for fat mass (DXA: 48.7 ± 7.2 kg vs BIA: 47.9 ± 5.7 kg) in severely obese BCS (P = .102), possibly due to small sample size. CONCLUSIONS:BIA may underestimate body fat percentage and fat mass and overestimate lean body mass, compared with DXA. Future studies are warranted to assess the use of these 2 devices in a larger cohort of BCS within BMI categories.

SUBMITTER: Lee K

PROVIDER: S-EPMC6433552 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Publications

Body Composition with Dual-Energy X-Ray Absorptiometry and Bioelectrical Impedance Analysis in Breast Cancer Survivors.

Lee Kyuwan K Sami Nathalie N Sweeney Frank C FC Dieli-Conwright Christina M CM

Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition 20180925 3

<h4>Background</h4>Because obesity is an independent risk factor for breast cancer recurrence, assessment of body composition is crucial to guide weight management in breast cancer survivors (BCS). This study assessed whether dual-energy x-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA) yield similar results for body composition in BCS.<h4>Methods</h4>Body fat percentage, lean body mass, and fat mass were estimated using DXA and BIA under fasting conditions in 89 BCS. BMI cat ...[more]

PMID: 30251390

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Project description:Background:The 4-component (4C) model is a criterion method for human body composition that separates the body into fat, water, mineral, and protein, but requires 4 measurements with significant cost and time requirements that preclude wide clinical use. A simplified model integrating only 2 measurements-dual-energy X-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA)-and 10 min of patient time has been proposed. Objective:We aimed to validate a rapid, simplified 4C DXA + BIA body composition model in a clinical population. Design:This was a cross-sectional observational study of 31 healthy adults. Participants underwent whole-body DXA, segmental BIA, air displacement plethysmography (ADP), and total body water (TBW) measurement by deuterium (D2O) dilution. 4C composition was calculated through the use of the Lohman model [DXA mineral mass, D2O TBW, ADP body volume (BV), scale weight] and the simplified model (DXA mineral mass and BV, BIA TBW, scale weight). Accuracy of percentage of fat (%Fat) and protein measurements was assessed via linear regression. Test-retest precision was calculated with the use of duplicate DXA and BIA measurements. Results:Of 31 participants, 23 were included in the analysis. TBWBIA showed good test-retest precision (%CV = 5.2 raw; 1.1 after outlier removal) and high accuracy to TBWD2O [TBWD2O = 0.956*TBWBIA, R2= 0.92, root mean squared error (RMSE) = 2.2 kg]. %Fat estimates from DXA, ADP, D2O, and BIA all showed high correlation with the Lohman model. However, only the 4C simplified model provides high accuracy for both %Fat (R2 = 0.96, RMSE = 2.33) and protein mass (R2= 0.76, RMSE = 1.8 kg). %Fat precision from 4C DXA + BIA was comparable with DXA (root mean square-SD = 0.8 and 0.6 percentage units, respectively). Conclusions:This work validates a simplified 4C method that measures fat, water, mineral, and protein in a 10-min clinic visit. This model has broad clinical application to monitor many conditions including over/dehydration, malnutrition, obesity, sarcopenia, and cachexia.

Project description:BackgroundReference ranges for lean mass (LM) and fat mass (FM) are essential in identifying soft tissue disorders; however, no such reference ranges exist for the most commonly used Hologic dual-energy X-ray absorptiometry (DXA) machine in Australia.MethodsCross-sectional study of community-dwelling adults (aged 18-88 years) who underwent a Hologic DXA scan at one of three commercialized densitometry centres in Australia. Age-specific and sex-specific percentile curves were generated for LM [LM, appendicular lean mass (ALM), ALM adjusted for height squared (ALM/h2 ), and ALM adjusted for body mass index (ALM/BMI)] and FM [FM, FM adjusted for height squared (FM/h2 ), appendicular fat mass, and android and gynoid fat] parameters using the LMS statistical method. Cutpoints equivalent to T-scores of -1, -2, and -2.5 standard deviations below the young mean reference group (20-29 years) were also generated for LM parameters.ResultsA total of 15 479 community-dwelling adults (54% men) with a median age of 33 years (interquartile range: 28, 42) were included. LM, ALM, and ALM/h2 remained stable until age 50, after which these parameters started to decline in both sexes. Compared with age 50, median percentiles of LM, ALM, and ALM/h2 declined by -5.9 kg, -3.7 kg, and -0.86 kg/m2 in men and by -2.5 kg, -1.8 kg, and -0.10 kg/m2 in women at age 70, respectively. Adjusting ALM for BMI (rather than height squared) resulted in different trends, with ALM/BMI decreasing from as early as age 20. Compared with age 20, median percentiles of ALM/BMI at age 40 declined by -0.10 kg/kg/m2 in men and by -0.06 kg/kg/m2 in women; and at age 70, ALM/BMI declined by -0.25 kg/kg/m2 in men and by -0.20 kg/kg/m2 in women. Cutpoints equivalent to T-scores of -1, -2, and -2.5 standard deviations for ALM/BMI were 1.01, 0.86, and 0.77 kg/kg/m2 in men and 0.70, 0.59, and 0.53 kg/kg/m2 in women, respectively. All FM parameters progressively increased from age 20 and continued up until age 70.ConclusionsWe developed reference ranges for LM and FM parameters from Hologic DXA machines in a large cohort of Australian adults, which will assist researchers and clinicians in identifying soft tissue disorders such as obesity, sarcopenia, and cachexia.

Project description:Dual-energy X-ray absorptiometry (DXA) has been considered a reference method for measuring body fat percentage (BF%) in children and adolescents with an excess of adiposity. However, given that the DXA technique is impractical for routine field use, there is a need to investigate other methods that can accurately determine BF%. We studied the accuracy of bioelectrical impedance analysis (BIA) technology, including foot-to-foot and hand-to-foot impedance, and Slaughter skinfold-thickness equations in the measurement of BF%, compared with DXA, in a population of Latin American children and adolescents with an excess of adiposity. A total of 127 children and adolescents (11?17 years of age; 70% girls) from the HEPAFIT (Exercise Training and Hepatic Metabolism in Overweight/Obese Adolescent) study were included in the present work. BF% was measured on the same day using two BIA analysers (Seca® 206, Allers Hamburg, Germany and Model Tanita® BC-418®, TANITA Corporation, Sportlife Tokyo, Japan), skinfold measurements (Slaughter equation), and DXA (Hologic Horizon DXA System®, Quirugil, Bogotá, Columbia). Agreement between measurements was analysed using t-tests, Bland?Altman plots, and Lin's concordance correlation coefficient (?c). There was a significant correlation between DXA and the other BF% measurement methods (r > 0.430). According to paired t-tests, in both sexes, BF% assessed by BIA analysers or Slaughter equations differ from BF% assessed by DXA (p < 0.001). The lower and upper limits of the differences compared with DXA were 6.3?22.9, 2.2?2.8, and -3.2?21.3 (95% CI) in boys and 2.3?14.8, 2.4?20.1, and 3.9?18.3 (95% CI) in girls for Seca® mBCA, Tanita® BC 420MA, and Slaughter equations, respectively. Concordance was poor between DXA and the other methods of measuring BF% (?c < 0.5). BIA analysers and Slaughter equations underestimated BF% measurements compared to DXA, so they are not interchangeable methods for assessing BF% in Latin American children and adolescents with excess of adiposity.

Dataset Information

Body Composition with Dual-Energy X-Ray Absorptiometry and Bioelectrical Impedance Analysis in Breast Cancer Survivors.

Publications

Body Composition with Dual-Energy X-Ray Absorptiometry and Bioelectrical Impedance Analysis in Breast Cancer Survivors.

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