Whole Body Composition by Hologic QDR 4500/A DXA: System Reliability versus User Accuracy and Precision

Scafoglieri, Aldo; Provyn, Steven; Wallace, Joanne; Louis, Olivia; Tresignie, Jonathan; Bautmans, Ivan; Mey, Johan De; Clarys, Jan Pieter

doi:10.5772/15613

Cited by 15 publications

(22 citation statements)

References 69 publications

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“…Coefficients of variation for the DXA technique for measurement of % body fat have been determined in a number of studies (for example, Santos et al 16 and Scafoglieri et al 17 ) and ranges from around 1% to as high as almost 7%. [16][17][18] It is instructive to calculate a PE cutoff for acceptability of impedance-based measurements of % body fat based on these precision estimates for DXA. The PE for the difference between DXA and BIS measurements, as well as being described by Equation 3, is equally described in terms of the CVs for each technique separately: 10…”

Section: Whole-body Bioelectrical Impedance For the Assessment Of Bodmentioning

confidence: 99%

Bioelectrical impedance validation studies: alternative approaches to their interpretation

Ward

2013

Eur J Clin Nutr

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Section: Whole-body Bioelectrical Impedance For the Assessment Of Bodmentioning

confidence: 99%

Bioelectrical impedance validation studies: alternative approaches to their interpretation

Ward

2013

Eur J Clin Nutr

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“…This tool has been shown to have good reliability for body composition measurement with coefficient of variations (CVs) ranging from 0.1%–1.9% for test‐retest. Interrater error of CV ranged from 1.0%–3.5% 38 . Scanning for this study was conducted by the principal investigator, who is certified in the use of DXA.…”

Section: Methodsmentioning

confidence: 99%

Measures of Total Energy Expenditure and Its Components Using the Doubly Labeled Water Method in Rehabilitating Burn Children

Prelack

Dylewski

et al. 2015

J Parenter Enteral Nutr

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“…However the tissue water content in adipose tissue is highly variable e.g. ranging from ± 17 % to 50 % in humans [30][31][32], which can thus affect the accuracy of the result. Despite these limitations, the relatively better accuracy of the equation developed by us demonstrates the need for the development of population specific equations for the assessment of body composition.…”

Section: Discussionmentioning

confidence: 99%

“…However in DEXA [28][29][30][31][32] body fat is calculated on the constancy assumption that ≈ 73 % of lean body mass (lean + BMC) is water [29][30][31][32]. However the tissue water content in adipose tissue is highly variable e.g.…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of a Skin Fold Thickness Prediction Equation for Asian Indians Using Hydrodensitometry

Shenoy¹,

Shrivastava²,

Sandhu³

et al. 2016

Journal of Obesity and Overweight

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There is increasing evidence that the associations between body mass index (BMI), body fat percentage (body fat %) and body fat distribution differ across populations [1]. Particularly in the Asian population, a specific BMI reflects a higher percentage of body fat than in white or European populations [1]. Obesity is defined as an excessive amount of adipose tissue with body fat % ≥ 25% in males, ≥32% in females [2]. BMI which is essentially weight (kg)/ height 2 (m 2 ), is a measure of relative weight and is an acceptable proxy for thinness and fatness and has been directly related to health risks and death rates in many populations [1]. Thus BMI is often used as a surrogate measure of obesity, because of the difficulties in accurately estimating body fat %, though BMI fails to distinguish between body fat and lean mass. Considering the relation of BMI cut offs with health risks, the cut off values for obesity using BMI were established as BMI Method: 137 healthy people (77 males and 60 females), in the age group of 30-60 years were included in the study. With hydrodensitometry, anthropometric measurements such as height, weight, 10 skin folds thickness sites, 5 sites of circumference, 5 sites of bone breadths and DEXA scans were taken as variables. A linear regression model was then created for both males and females, with body fat % calculated by hydrodensitometry used as a dependent variable and other anthropometric measurements and DEXA results used as independent variables.Results: 4 new body fat estimation models, 2 for males and 2 for females were obtained for Asian Indians with R2 of 0.90 and 0.71 for males and 0.90 and 0.72 for females respectively. Conclusion: The new prediction equations for body fat % estimation, which were derived and internally validated in an adult Indian population revealing a lower error difference than previously developed models.

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Whole Body Composition by Hologic QDR 4500/A DXA: System Reliability versus User Accuracy and Precision

Cited by 15 publications

References 69 publications

Bioelectrical impedance validation studies: alternative approaches to their interpretation

Bioelectrical impedance validation studies: alternative approaches to their interpretation

Measures of Total Energy Expenditure and Its Components Using the Doubly Labeled Water Method in Rehabilitating Burn Children

Development and Validation of a Skin Fold Thickness Prediction Equation for Asian Indians Using Hydrodensitometry

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