Healthy plantar pressure distribution beneath the feet plays a crucial role in children’s development from the very beginning, with any deviations potentially leading to various pathologic conditions. This review aims to examine recent applications of pedobarographic analysis in pediatrics applications, providing a clearer picture of current research practices and the topics being addressed. The authors conducted a comprehensive search across several scientific databases, including PubMed, Web of Science, Scopus, and Google Scholar, ultimately selecting 17 studies after applying specific criteria for inclusion. The findings demonstrate that pedobarographic analysis can effectively differentiate between age and sex differences in plantar pressure and detect the influence of various risk factors in healthy children. It was found that a child’s foot health is closely linked to their physical activity level, with body fat percentage playing a significant role in pressure distribution. Furthermore, external factors like school bags and internal factors such as obesity were identified as major contributors to abnormal plantar pressure, and pedobarography proved successful in detecting these effects. The analysis also showed that pedobarography is an effective tool for assessing foot health, tracking changes, and monitoring longterm recovery or trends in children. However, the review also highlights a limitation in the scarcity of research, particularly in the areas of gait and plantar pressure in children. Only a few studies have focused on young healthy athletes, suggesting that future research could delve deeper into this population.

A research study was conducted on a sample of 110 male and female participants aged 11 and 12 years (±1.2 years) to compare two different methods for identifying spinal deformities. The aim was to determine which of the two methods is better and more applicable in practical school conditions. The methods compared were Napoleon Wolanski's method with 8 variables and the 3D method from Contemplas GmbH TEMPLO General Motion, assessed with a total of 11 variables. By analyzing the table of central dispersion parameters of body posture according to Napoleon Wolanski's method, the participants were classified into 5 groups based on the results. Participants with scores up to 8 points were considered to have good posture, while those with scores from 9 to 16 points were treated as having poor posture. The research revealed that a total of 66 out of 110 participants had poor posture, accounting for 60%. Results from the Contemplas method showed deviations from proper posture in almost all variables. The analysis indicated significant deviations in shoulder rotation, pelvic rotation, sagittal distances, and flexion/extension variables. Overall, the results demonstrated a high prevalence of body deformities in 11- and 12-year-old students. Analyzing the results of both methods for determining body deformities, it can be confidently stated that the frequency of body deformities in students aged 11 and 12 is significantly high. Napoleon Wolanski's method identified that 60% of participants had some form of spinal deformity, while the Contemplas method showed more pronounced results, with some variables indicating deformations in 80-85% of participants. Despite providing more detailed information about students' posture, the Contemplas method is less applicable in practical school conditions due to its significant cost. Therefore, Napoleon Wolanski's method remains indispensable in school settings.

The aim of the study was to determine the differences in the level of fat, sugar and body structure based on the level of functional abilities. The sample of respondents are students of the University of Bihać who also completed the shuttle run test (BEEPT). T-test for independent samples revealed the existence of statistically significant differences between the arithmetic means of the two groups of subjects for (AMAS, p = 0 .011), (BMI p = 0 .000), (FAT%, p = 0.000), (FMKG p) = 0.000). A statistically significant difference was also found in the variable triglycerides (TRIGL p = 0.019), while in the other variables no statistically significant difference was found in the two groups of subjects in favor of subjects who had better results in functional abilities. The coefficient of discriminant canonical correlation is (0.512), as is Wilks lambda, (0.738), which indicates very high discrimination between groups (sig. 000). The greatest contribution to the formation of the discriminatory function was given by the variables FMKG - .801, FATPR -.760, BMI - .707, AMAS - .390, TRIGL - .358, HOLE - .235. The centroids of the groups show a large distance between the results of the groups because they are located at both ends of the coordinate system. The first group consists of positive results of a total of 7 variables, which means that the respondents of the first group had significantly better results in these variables. Based on the results, it can be concluded that the increase in cholesterol triglycerides and some parameters of body structure affected the level of health status as well as body composition in students.