2013
DOI: 10.1016/j.ramb.2013.03.006
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Validade dos métodos para avaliação da gordura corporal em crianças e adolescentes por meio de modelos multicompartimentais: uma revisão sistemática

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Cited by 38 publications
(17 citation statements)
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References 33 publications
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“…Holtain, Crosswell, Wales; measure range 0‐48 mm, constant pressure: 10 g/cm 2 , sensitivity: 0.1 mm) was used for this technique. A validated algorithm for this population was then applied to calculate %FM …”
Section: Methodsmentioning
confidence: 99%
“…Holtain, Crosswell, Wales; measure range 0‐48 mm, constant pressure: 10 g/cm 2 , sensitivity: 0.1 mm) was used for this technique. A validated algorithm for this population was then applied to calculate %FM …”
Section: Methodsmentioning
confidence: 99%
“…When comparing our predictive models with the existing literature, we find studies that evaluate a single anthropometric parameter and other authors who developed multivariable predictive models based on skinfolds (Silva et al, 2013; Jensen, Camargo & Bergamaschi, 2016). We must bear in mind that the studies evaluating a single anthropometric parameter (circumferences of the upper arm, waist, hip and others; ratios such as waist-to-height or waist-to-hip) (Freedman et al, 2004; Freedman et al, 2005; Freedman et al, 2012; Bergman et al, 2011; Goossens et al, 2012; Boeke et al, 2013; Weber et al, 2013; Craig et al, 2014) did not assess the power of this parameter, the interactions with other variables, or a combination of factors to estimate body fat, which gives greater accuracy to the results obtained in our model.…”
Section: Discussionmentioning
confidence: 99%
“…We must bear in mind that the studies evaluating a single anthropometric parameter (circumferences of the upper arm, waist, hip and others; ratios such as waist-to-height or waist-to-hip) (Freedman et al, 2004; Freedman et al, 2005; Freedman et al, 2012; Bergman et al, 2011; Goossens et al, 2012; Boeke et al, 2013; Weber et al, 2013; Craig et al, 2014) did not assess the power of this parameter, the interactions with other variables, or a combination of factors to estimate body fat, which gives greater accuracy to the results obtained in our model. Multivariable models of using skinfolds have the clinical drawback of skinfolds being difficult to measure and the methodological drawback that they did not follow the statistical techniques that yield the highest power in the construction and validation of a multiple linear regression predictive model (interactions, powers, bootstrapping, ICC and testing of approximately 6,500 models) (Silva et al, 2013; Jensen, Camargo & Bergamaschi, 2016). In light of the above, our model clearly provides greater accuracy with respect to the others published in the scientific literature.…”
Section: Discussionmentioning
confidence: 99%
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“…Another technique that ought to be highlighted is the dual energy x-ray absorptiometry (DXA), based in photons' attenuation measure, generated by X-ray sources, in low and high density tissues, and it is also considered, in various situations, as a reference method to the evaluation of body composition [14][15][16] .…”
Section: Introductionmentioning
confidence: 99%