Can skinfold thickness equations be substituted for bioimpedance analysis in children?

Forte, Gabriele Carra; Rodrigues, Carlos Alberto Sandre; Mundstock, Eduardo; Santos, Thaís Santos dos; Filho, Adriano Detoni; Noal, Juliana; Amaral, Marina Azambuja; Preto, Luiza Tweedie; Vendrusculo, Fernanda Maria; Mattiello, Rita

doi:10.1016/j.jped.2019.12.006

Cited by 7 publications

(9 citation statements)

References 28 publications

(28 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A significative bias (p<0.05) verify with paired t-test could indicate discordance between techniques. Furthermore, a deviation up to 8% in the 95% LOA was consider clinically acceptable 20 . Finally, as deviation of the residual SEE was applied.…”

Section: Discussionmentioning

confidence: 99%

Estimation of fat mass in Southern Brazilian female adolescents: development and validation of mathematical models

Andrade

Ripka

Leite

et al. 2023

Rev. bras. cineantropom. desempenho hum.

View full text Add to dashboard Cite

This study aimed to develop and validate the first mathematical models, based on anthropometric properties, to estimate fat mass (FM) in a heterogeneous sample of female adolescents. A cross-sectional and quantitative study conducted with 196 individuals aged 12 to 17 years from the metropolitan region of Curitiba, Paraná, Brazil. The participants were randomly divided into two groups: regression sample (n = 169) and validation sample (n = 27). Dual-energy X-ray absorptiometry (DXA) was used as the reference method to determine body fat in relative and absolute values. Stature, body mass, waist girth and triceps, subscapular, biceps, iliac crest, abdominal, front thigh and medial calf skinfold thickness were defined as independent variables and measured according to an international technical protocol. Statistical analyzes used the Ordinary Least Square (OLS) regression model, paired t test and Pearson correlation. Four multivariate mathematical models with high determination coefficients (R2 ≥90%) and low estimated standard errors (SEE = ≤2.02 kg) were developed. Model 4 stands out for its low number of independent variables and significant statistical performance (R2 = 90%; SEE = 1.92 kg). It is concluded that the four mathematical models developed are valid for estimating FM in female adolescents in southern Brazil.

show abstract

Section: Discussionmentioning

confidence: 99%

Estimation of fat mass in Southern Brazilian female adolescents: development and validation of mathematical models

Andrade

Ripka

Leite

et al. 2023

Rev. bras. cineantropom. desempenho hum.

View full text Add to dashboard Cite

show abstract

“…En lo referente al porcentaje de grasa, no se encontró un patrón específico de asociación con la FPM Absoluta [16][17][18]21,22,26,28,31,37,40,[61][62][63][64][65] , ni con la FPM Relativa 18,33,37,56 (tabla 4). Esto puede estar relacionado con el hecho de que la mayoría de reportes -que estimaban el porcentaje de grasa-usaron como insumo pliegues cutáneos en diferentes ecuaciones [16][17][18]21,26,37,64,65 ; y de acuerdo con la evidencia reciente, ecuaciones tradicionales del porcentaje de grasa, tales como la de Slaughter et al 66 y la de Goran et al 67 no son funcionales para evaluar el porcentaje de grasa en niños y adolescentes 68 .…”

Section: Discussionunclassified

Características antropométricas y de composición corporal asociadas a la fuerza prensil manual en niños y adolescentes. Una Revisión Sistemática Exploratoria

Martínez-Torres

Gallo-Villedas²,

Aguirre–Acevedo³

2022

Andes pediatr

View full text Add to dashboard Cite

La fuerza prensil manual es un indicador robusto de la salud biológica de los niños y adolescentes.Objetivos: identificar las características antropométricas y de composición corporal relacionadas con la fuerza prensil manual, y describir las principales características de los protocolos usados para la evaluación de la fuerza prensil manual.Metodología: Se desarrolló una revisión sistemática exploratoria o Scoping Review; la búsqueda fue llevada a cabo en Medline, Web of Science, Science Direct, Scielo y Sportdiscus de EBSCO. Se incluyeron investigaciones originales si incluían fuerza prensil manual y características antropométricas y composición corporal.Resultados: Se seleccionaron 59 reportes, publicados entre los años 2005 y 2020. De los 59 reportes seleccionados, la clasificación nutricional fue la característica más estudiada (n = 25; 42,3%), seguida del índice masa corporal (n = 23; 38,9%). En el 47,5% (28 reportes) no fue clara la cantidad de ensayos realizados en cada individuo para estimar los valores de la fuerza prensil manual. La marca de dinamómetro de la empresa Takei Scientific Instrument Co. Ltd., con un 49,2 % fue la más usada. El indicador de mayor uso fue la fuerza prensil manual absoluta (86,4 %, 51 reportes).Conclusiones: Existe una amplia variabilidad en los protocolos utilizados para la evaluación de la fuerza prensil manual con variaciones en la posición del cuerpo, el brazo, la selección de la mano, el número de repeticiones y el intervalo entre las medidas. Se encontró un patrón de valores proporcionales entre la fuerza prensil manual absoluta con el índice de masa corporal, Σ pliegues cutáneos, no obstante, cuando esta se ajusta por masa (fuerza prensil manual relativa) la relación es inversa.

show abstract

“…Despite recent advancements regarding accuracy using BIA and anthropometric procedures, a long-standing question [ 10 , 11 ] remains: which technique is more accurate between BIA and anthropometry to evaluate fat mass? Indeed, although this question has been open for decades, conflicting findings can be found in recent literature [ 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the use of these formulas does not seem interchangeable, and their use should be carefully considered when evaluating body composition [ 15 , 16 , 17 ]. In previous sports-science related studies that compared BIA and anthropometry, not enough diligence was given to the choice of predictive equations [ 12 , 13 , 14 ], possibly resulting in conflicting findings over time.…”

Section: Introductionmentioning

confidence: 99%

Methods over Materials: The Need for Sport-Specific Equations to Accurately Predict Fat Mass Using Bioimpedance Analysis or Anthropometry

et al. 2023

View full text Add to dashboard Cite

Bioelectrical impedance analysis (BIA) and anthropometry are considered alternatives to well-established reference techniques for assessing body composition. In team sports, the percentage of fat mass (FM%) is one of the most informative parameters, and a wide range of predictive equations allow for its estimation through both BIA and anthropometry. Although it is not clear which of these two techniques is more accurate for estimating FM%, the choice of the predictive equation could be a determining factor. The present study aimed to examine the validity of BIA and anthropometry in estimating FM% with different predictive equations, using dual X-ray absorptiometry (DXA) as a reference, in a group of futsal players. A total of 67 high-level male futsal players (age 23.7 ± 5.4 years) underwent BIA, anthropometric measurements, and DXA scanning. Four generalized, four athletic, and two sport-specific predictive equations were used for estimating FM% from raw bioelectric and anthropometric parameters. DXA-derived FM% was used as a reference. BIA-based generalized equations overestimated FM% (ranging from 1.13 to 2.69%, p < 0.05), whereas anthropometry-based generalized equations underestimated FM% in the futsal players (ranging from −1.72 to −2.04%, p < 0.05). Compared to DXA, no mean bias (p > 0.05) was observed using the athletic and sport-specific equations. Sport-specific equations allowed for more accurate and precise FM% estimations than did athletic predictive equations, with no trend (ranging from r = −0.217 to 0.235, p > 0.05). Regardless of the instrument, the choice of the equation determines the validity in FM% prediction. In conclusion, BIA and anthropometry can be used interchangeably, allowing for valid FM% estimations, provided that athletic and sport-specific equations are applied.

show abstract

Can skinfold thickness equations be substituted for bioimpedance analysis in children?

Cited by 7 publications

References 28 publications

Estimation of fat mass in Southern Brazilian female adolescents: development and validation of mathematical models

Estimation of fat mass in Southern Brazilian female adolescents: development and validation of mathematical models

Características antropométricas y de composición corporal asociadas a la fuerza prensil manual en niños y adolescentes. Una Revisión Sistemática Exploratoria

Methods over Materials: The Need for Sport-Specific Equations to Accurately Predict Fat Mass Using Bioimpedance Analysis or Anthropometry

Contact Info

Product

Resources

About