Body composition measurements in paediatrics – a review. Part 1

Dobroch, Jakub; Cieśluk, Klaudia; Sawicka-Żukowska, Małgorzata; Krawczuk‐Rybak, Maryna

doi:10.5114/pedm.2018.83365

Cited by 7 publications

(7 citation statements)

References 33 publications

(65 reference statements)

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“…Besides, it is known that body composition prediction equations are specific to the population for whom they were developed (20,21). None of the equations we evaluated were developed for Colombians or for athletes expected to be high-performers, which may partly explain the lack of accuracy of their results and the high average bias when compared to DEXA, especially in the case of the Slaughter and Lohman equations, and to a lesser extent, the Johnston's.…”

Section: Validity Of the Five-component Modelmentioning

confidence: 99%

Concurrent validity of five prediction equations to evaluate fat percentage in a sports group expected to yield high performance from Medellín, Colombia

Serrano¹,

Vélez²,

García

et al. 2021

biomedica

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Introduction: No equations to predict the body composition of athletes from Medellín expected to have high performance have been constructed and, thus, decisions regarding their training and nutrition plans lack support.Objective: To calculate the concurrent validity of five prediction equations for fat percentage in a group of athletes from Medellín, Colombia, expected to yield high performance.Materials and methods: We conducted a cross-sectional analysis to validate diagnostic tests using secondary-source data of athletes under the age of 18 who were part of the “Medellín Team”. The gold standard was dual-energy X-ray densitometry (DEXA). We analyzed the Slaughter, Durnin and Rahaman, Lohman, and Johnston prediction equations, as well as the five-component model. We used the intraclass correlation coefficient to assess the consistency of the methods and the Bland-Altman plot to calculate the average bias and agreement limits of each of the equations.Results: We included 101 athletes (50,5 % of them women). The median age was 14,8 years (IR: 13,0 - 16,0). The concurrent validity was “good/excellent” for the Johnston and the Durnin and Rahaman equations and the five-components model. The Lohman equation overestimated the fat percentage in 12,7 points. All of the equations showed broad agreement limits.Conclusions: The Durnin and Rahaman and the Johnston equations, as well as the fivecomponent model, can be used to predict the FP in the study population as they showed a “good/excellent” concurrent validity and a low average bias. The equations analyzed have low accuracy, which hinders their use to diagnose the individual fat percentage within this population.

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Section: Validity Of the Five-component Modelmentioning

confidence: 99%

Concurrent validity of five prediction equations to evaluate fat percentage in a sports group expected to yield high performance from Medellín, Colombia

Serrano¹,

Vélez²,

García

et al. 2021

biomedica

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“…Multiple measures of BC allowed for comprehensive phenotyping including BMI, waist circumference (WC); an indicator of abdominal obesity, triceps skinfold (TS); a measure of peripheral fat reserves, body fat percentage (BF%); a measure of overall adiposity, and skeletal muscle mass (MM). 18,19 Participants wore a clinical examination gown and were asked to remove hair ornaments, shoes and socks according to the ELEMENT study protocol. Research assistants measured height to the nearest 0.5 cm with a BAME Model 420; Catálogo Médico, Tokyo, Japan, with height rod (Model WB-3000 m), weight to the nearest kg (InBody 270, Biospace, California, USA), WC to the nearest 0.1 cm at the iliac crest using a non-stretchable measuring tape (QM2000 QuickMedical; SECA model 201, Hamburg, Germany), and TS in mm (Lange callipers; Beta Technology, California, USA) using standard anthropometry procedures.…”

Section: Body Compositionmentioning

confidence: 99%

Metabolomics reveals sex‐specific pathways associated with changes in adiposity and muscle mass in a cohort of Mexican adolescents

et al. 2022

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Summary Background Alterations in body composition (BC) during adolescence relates to future metabolic risk, yet underlying mechanisms remain unclear. Objectives To assess the association between the metabolome with changes in adiposity (body mass index [BMI], waist circumference [WC], triceps skinfold [TS], fat percentage [BF%]) and muscle mass (MM). Methods In Mexican adolescents (n = 352), untargeted serum metabolomics was profiled at baseline. and data were reduced by pairing hierarchical clustering with confirmatory factor analysis, yielding 30 clusters with 51 singleton metabolites. At the baseline and follow‐up visits (1.6–3.5 years apart), anthropometry was collected to identify associations between baseline metabolite clusters and change in BC (∆) using seemingly unrelated and linear regression. Results Between visits, MM increased in boys and adiposity increased in girls. Sex differences were observed between metabolite clusters and changes in BC. In boys, aromatic amino acids (AAA), branched chain amino acids (BCAA) and fatty acid oxidation metabolites were associated with increases in ∆BMI, and ∆BF%. Phospholipids were associated with decreases in ∆TS and ∆MM. Negative associations were observed for ∆MM in boys with a cluster including AAA and BCAA, whereas positive associations were found for a cluster containing tryptophan metabolites. Few associations were observed between metabolites and BC change in girls, with one cluster comprising methionine, proline and lipids associated with decreases in ∆BMI, ∆WC and ∆MM. Conclusion Sex‐specific associations between the metabolome and change in BC were observed, highlighting metabolic pathways underlying adolescent physical growth.

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“…It allows it to determine the size of subcutaneous fat stores [11]. This study is based on the assumption that the thickness of the subcutaneous fat is a reflection of the total body fat [19]. Approximately half of the body's fatty tissue is directly beneath the skin.…”

Section: Skinfold Measurementsmentioning

confidence: 99%

“…Skinfold thickness measurements can be used also in infants and are generally one of the best screening methods for individual assessment of body fat. However, the assessment of the skinfold thickness is considered to be an imprecise method [19].…”

Section: Skinfold Measurementsmentioning

confidence: 99%

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Methods of assessing body composition and anthropometric measurements – a review of the literature

Pawlak

Ręka

Olszewska

et al. 2021

J Educ Health Sport

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Introduction and purpose Body composition assessment is an important element in determining the health of the body, which enables us to estimate the percent content of particular tissues in the body. Measured parameters include the amount of adipose tissue, muscle, bone tissue, and hydration. The aim of the study is to present a differentiation of methods of assessing body composition and anthropometric measurements after analysis of 29 scientific publications from Pubmed and Google Scholar. A brief description of the state of knowledge Bioelectrical impedance analysis, densitometry, magnetic resonance imaging, computed tomography, and air displacement plethysmography are methods that enable us to assess body composition and hydration. These methods differ from each other in equipment which is used, accuracy, test price, and technique of measurement. The differences in the accuracy of measurements result from the lack of correlation between the methods given. Skinfold thickness, body mass index, waist to hip circumference ratio, and growth charts in children are methods of assessing anthropometric measurements. The research shows the use of individual methods of assessing body composition and methods of anthropometric measurements among different age groups. Conclusions There are many devices and methods for measuring body composition and for anthropometric measurements, which can be used in different age groups. They are important in assessing human growth, development, and health status and can be used in clinical practice.

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Body composition measurements in paediatrics – a review. Part 1

Cited by 7 publications

References 33 publications

Concurrent validity of five prediction equations to evaluate fat percentage in a sports group expected to yield high performance from Medellín, Colombia

Concurrent validity of five prediction equations to evaluate fat percentage in a sports group expected to yield high performance from Medellín, Colombia

Metabolomics reveals sex‐specific pathways associated with changes in adiposity and muscle mass in a cohort of Mexican adolescents

Methods of assessing body composition and anthropometric measurements – a review of the literature

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