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Mathematical model for body fat percentage of children with cerebral palsy
Neves, Eduardo Borba; Beraldo, Lucas Menghin; Pol, Stéphani de; Costin, Ana Cláudia Martins Szczypior; Chiarello, Claudiana Renata; Ulbricht, Leandra.
Afiliação
  • Neves, Eduardo Borba; Universidade Tecnológica Federal do Paraná. Graduate Program of Biomedical Engineering. Curitiba. BR
  • Beraldo, Lucas Menghin; Universidade Tecnológica Federal do Paraná. Graduate Program of Biomedical Engineering. Curitiba. BR
  • Pol, Stéphani de; Universidade Tecnológica Federal do Paraná. Graduate Program of Biomedical Engineering. Curitiba. BR
  • Costin, Ana Cláudia Martins Szczypior; Universidade Tecnológica Federal do Paraná. Graduate Program of Biomedical Engineering. Curitiba. BR
  • Chiarello, Claudiana Renata; Universidade Tecnológica Federal do Paraná. Graduate Program of Biomedical Engineering. Curitiba. BR
  • Ulbricht, Leandra; Universidade Tecnológica Federal do Paraná. Graduate Program of Biomedical Engineering. Curitiba. BR
Res. Biomed. Eng. (Online) ; 32(4): 358-364, Oct.-Dec. 2016. tab
Article em En | LILACS | ID: biblio-842475
Biblioteca responsável: BR1.1
ABSTRACT
Abstract Introduction The aim of this study was to develop a specific mathematical model to estimate the body fat percentage (BF%) of children with cerebral palsy, based on a Brazilian population of patients with this condition. Method This is a descriptive cross-sectional study. The study included 63 Caucasian children with cerebral palsy, both males and females, aged between three and ten-years-old. Participants were assessed for functional motor impairment using the Gross Motor Function Classification System (GMFCS), dual energy x-ray absorptiometry (DXA) and skinfold thickness. Total body mass (TBM) and skinfolds thickness from triceps (Tr), biceps (Bi), Suprailiac (Si), medium thigh (Th), abdominal (Ab), medial calf (Ca) and subscapular (Se) were collected. Fat mass (FM) was estimated by dual energy x-ray absorptiometry (gold standard). Results The model was built from multivariate linear regression; FM was set as a dependent variable and other anthropometric variables, age and sex, were set as independent variables. The final model was established as F%=((0.433xTBM + 0.063xTh + 0.167xSi - 6.768) ÷ TBM) × 100, the R2 value was 0.950, R2adjusted=0.948 and the standard error of estimate was 1.039 kg. Conclusion This method was shown to be valid to estimate body fat percentage of children with cerebral palsy. Also, the measurement of skinfolds on both sides of the body showed good results in this modelling.
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Texto completo: 1 Coleções: 01-internacional Base de dados: LILACS Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Revista: Res. Biomed. Eng. (Online) Assunto da revista: Engenharia Biom‚dica Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: LILACS Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Revista: Res. Biomed. Eng. (Online) Assunto da revista: Engenharia Biom‚dica Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil