BACKGROUND: The double burden of obesity and underweight is increasing in developing countries and simple methods for the assessment of fat mass in children are needed. AIM: To develop and validate a new anthropometric predication equation for assessment of fat mass in children. SUBJECTS AND METHODS: Body composition was assessed in 145 children aged 9.8 ± 1.3 (SD) years from São Paulo, Brazil using dual energy X-ray absorptiometry (DEXA) and skinfold measurements. The study sample was divided into development and validation sub-sets to develop a new prediction equation for FM (PE). RESULTS: Using multiple linear regression analyses, the best equation for predicting FM (R(2) = 0.77) included body weight, triceps skinfold, height, gender and age as independent variables. When cross-validated, the new PE was valid in this sample (R(2) = 0.80), while previously published equations were not. CONCLUSION: The PE was more valid for Brazilian children that existing equations, but further studies are needed to assess the validity of this PE in other populations.
BACKGROUND: The double burden of obesity and underweight is increasing in developing countries and simple methods for the assessment of fat mass in children are needed. AIM: To develop and validate a new anthropometric predication equation for assessment of fat mass in children. SUBJECTS AND METHODS: Body composition was assessed in 145 children aged 9.8 ± 1.3 (SD) years from São Paulo, Brazil using dual energy X-ray absorptiometry (DEXA) and skinfold measurements. The study sample was divided into development and validation sub-sets to develop a new prediction equation for FM (PE). RESULTS: Using multiple linear regression analyses, the best equation for predicting FM (R(2) = 0.77) included body weight, triceps skinfold, height, gender and age as independent variables. When cross-validated, the new PE was valid in this sample (R(2) = 0.80), while previously published equations were not. CONCLUSION: The PE was more valid for Brazilian children that existing equations, but further studies are needed to assess the validity of this PE in other populations.
Authors: Matheus S Cerqueira; Paulo R S Amorim; Irismar G A Encarnação; Leonardo M T Rezende; Paulo H R F Almeida; Analiza M Silva; Manuel Sillero-Quintana; Diego A S Silva; Fernanda K Santos; João C B Marins Journal: Eat Weight Disord Date: 2022-06-14 Impact factor: 3.008
Authors: Pollyanna Fernandes Patriota; Andrea Rocha Filgueiras; Viviane Belucci Pires de Almeida; Guilherme Aparecido Costa Alexmovitz; Carlos Eduardo da Silva; Vivian Fortuna Feres de Carvalho; Natália Carvalho; Maria Paula de Albuquerque; Semiramis Martins Alvares Domene; Wagner Luiz do Prado; Gustavo Enrique Salazar Torres; Ana Paula Reis de Oliveira; Ricardo Sesso; Ana Lydia Sawaya Journal: BMC Public Health Date: 2017-09-15 Impact factor: 3.295
Authors: Bruno P Moura; Rogério L Rufino; Ricardo C Faria; Jeffer E Sasaki; Paulo Roberto S Amorim Journal: Int J Environ Res Public Health Date: 2019-08-27 Impact factor: 3.390