2. Materials and Methods
1,026 children from Gdansk (Poland) – the same 497 boys and 529 girls were examined at the age of 6 and 10 (longitudinal study). The calendar age of children was calculated from the difference between the date of examination and the date of birth and expressed in the decimal system [
21]. The group of children studied included those whose age, expressed in the decimal system with an accuracy of 0.01 years, was in the range of 6.00-6.99 for the age of 6 and 10.00-10.99 for age 10.
The research material consists of studies conducted in the years 1999-2005 and 2003-2008 as part of health programs implemented by the Center for the Promotion of Children’s Health and Fitness in Gdansk. The size of the study group divided by gender is shown in
Table 1.
All people for whom anthropometric measurements were difficult to perform were excluded from the study (e.g., children with limbs immobilized with plaster casts or with disorders of the musculoskeletal system). In the diagnostic procedure, body height was measured using a stadiometer with an accuracy of 1 mm, in a standing upright (Frankfurt plane) position, without shoes. The body mass was measured with an accuracy of 50g with the child wearing underwear or exercise clothes for PE classes. Body mass and height measurements were performed using a Polish made TYP WB 150 medical scale with a stadiometer or an also Polish made Mensor TYP WE 150 digital scale with a stadiometer. The devices were tared daily.
Anthropometric measurements were used to calculate the Body Mass Index (BMI) using the following formula:
International developmental norms for excess body mass [
2] and body mass deficiency for children and adolescents aged 2-18 years [
22] were used as a frame of reference for the Body Mass Index (BMI).
Percentile values for height, weight and BMI for the examined persons were determined based on current percentile grids for the population of children and adolescents in Poland – the OLAF program [
23].
Due to the lack of percentile values for the age range between 6.00-6.49 in the OLAF percentile grids (OLAF percentile grids apply to people aged 6.5-18.5), the data from 6-year-old children in the range 6.00-6.49 were not used for statistical analysis using percentile values.
The basic analysis of somatic characteristics data was carried out separately for boys and girls taking into account groups distinguished based on the Body Mass Index (BMI) classification. The following basic characteristics of the distributions of measurable features were calculated: arithmetic mean, median, standard deviation and minimum and maximum values.
Two transformations were used to analyze the dynamics of change: ranking – scale change transformation to a weaker one which enables the presentation of selected regularities of the phenomenon, and differentiation – the transformation which quantitatively expresses changes between the group of the same children at the age of 6 and 10, so that on the basis of arithmetic sequence differences, it was possible to perform numerical calculations, including distribution characteristics and correlation analysis.
The relationship between somatic features and the Body Mass Index (BMI) was examined based on the Pearson Correlation Coefficient. It was assumed that the correlation coefficients were statistically significant at the level of p < 0.05. Basic statistical analyses were performed for the percentile values of anthropometric measurements and the BMI index for individual BMI classification groups and their mutual linear correlation.
In order to observe the number, percentage and direction of changes in BMI classification in the same children examined at two life stages, ranks for BMI categories (body mass classification) were determined. The rank assignment is shown in
Table 2.
Observing the rank difference results for BMI enables the analysis of the scope of changes in body mass classification and its direction. The observed changes towards positive values indicate a category change connected to relative (in reference to the IOTF reference system) body mass increase for age and gender. Changes towards negative values indicate a change in body mass classification (BMI category) associated with a relative decrease in body mass for gender, age and height.
Example:
BMI of a child examined at the age of 6 was classified as ‘normal body mass’ (BMI1 = rank 4) but BMI of the same child at the age of 10 was classified as ‘obese’ (BMI2 = rank 6). BMI2 – BMI1 (6 – 4 = 2) – that means a change of body mass classification by two ranks in the direction of relative body mass increase.