Petr Kutac1, Václav Bunc2, Martin Sigmund3. 1. Human Motion Diagnostics Center, University of Ostrava, 701 03 Ostrava, Czech Republic. 2. Faculty of Physical Education and Sport, Charles University, Praha 6, 162 52 Praha, Czech Republic. 3. Application Centre BALUO, Faculty of Physical Culture, Palacký University, 771 47 Olomouc, Czech Republic.
Abstract
Background and objectives: Body mass index (BMI) is commonly used to assess the proportionality of body mass; however, there are currently no standards for assessing the weight status of the child population for the needs of epidemiological studies. This study aims to establish bioelectric impedance analysis (BIA) standards for assessing the body weight of children (body fat, visceral fat) using BMI percentile growth charts. Materials and Methods: The study was implemented in a group of 1674 children (816 boys and 858 girls), ages 6 to 11. To classify the subjects at a percentile level, the percentile growth charts from the 6th national anthropological study in the Czech Republic were used. Body composition parameters were ascertained by BIA. Results: Body fat (%) and visceral fat standard values were determined for all age categories. The standards were in three-stages, enabling the determination of underweight, normal weight and overweight children aged 6-11 years. For boys with proportionate body mass, standard body fat values ranging from 14.3-16.0% to 15.5-18.0% were determined, while for girls' values ranging from 16.7-19.4% to 18.3-20.5% were determined, depending on age. As far as visceral fat is concerned, standard values in boys ranging from 30.3-36.9 cm2 to 36.1-44.9 cm2 and in girls 30.3-36.9 cm2 to 36.1-44.9 cm2 were determined, depending on age. Conclusions: Standards for assessing weight status are applicable to children aged 6-11 years, while it can be confirmed that BMI can be considered as an objective tool in assessing body mass and body composition in children.
Background and objectives: Body mass index (BMI) is commonly used to assess the proportionality of body mass; however, there are currently no standards for assessing the weight status of the child population for the needs of epidemiological studies. This study aims to establish bioelectric impedance analysis (BIA) standards for assessing the body weight of children (body fat, visceral fat) using BMI percentile growth charts. Materials and Methods: The study was implemented in a group of 1674 children (816 boys and 858 girls), ages 6 to 11. To classify the subjects at a percentile level, the percentile growth charts from the 6th national anthropological study in the Czech Republic were used. Body composition parameters were ascertained by BIA. Results: Body fat (%) and visceral fat standard values were determined for all age categories. The standards were in three-stages, enabling the determination of underweight, normal weight and overweight children aged 6-11 years. For boys with proportionate body mass, standard body fat values ranging from 14.3-16.0% to 15.5-18.0% were determined, while for girls' values ranging from 16.7-19.4% to 18.3-20.5% were determined, depending on age. As far as visceral fat is concerned, standard values in boys ranging from 30.3-36.9 cm2 to 36.1-44.9 cm2 and in girls 30.3-36.9 cm2 to 36.1-44.9 cm2 were determined, depending on age. Conclusions: Standards for assessing weight status are applicable to children aged 6-11 years, while it can be confirmed that BMI can be considered as an objective tool in assessing body mass and body composition in children.
Entities:
Keywords:
body fat; body mass index; growth chart; prepubescent children; standards
Authors: Yanhui Dong; Catherine Jan; Yinghua Ma; Bin Dong; Zhiyong Zou; Yide Yang; Rongbin Xu; Yi Song; Jun Ma; Susan M Sawyer; George C Patton Journal: Lancet Diabetes Endocrinol Date: 2019-04 Impact factor: 32.069
Authors: D P Williams; S B Going; T G Lohman; D W Harsha; S R Srinivasan; L S Webber; G S Berenson Journal: Am J Public Health Date: 1992-03 Impact factor: 9.308
Authors: Maximilian Tremmel; Ulf-G Gerdtham; Peter M Nilsson; Sanjib Saha Journal: Int J Environ Res Public Health Date: 2017-04-19 Impact factor: 3.390