## 4 Discussion  
In this study, we observed the postural stability in female athletes from different sports with very different balance requirements. Basketball players as well as recreational athletes had poorer posturographic performance compared to gymnasts or ski jumping athletes. This was particularly visible in the more demanding (peripheral-vestibular system) postural positions (PO, PC). In contrast to the positions NO and NC, for the positions PO (disruption of the somatosensory system using pads) and PC (disruption of the somatosensory system using pads and elimination of the visual system using eyes closed), we detected a significant lower level of postural stability for basketball players than for gymnasts. It seems that the performance of the peripheral-vestibular system is much lower for basketball players than for gymnasts. This result was expected, because the exercises of gymnasts are much more demanding in this direction (e.g., rotations, vertical and horizontal accelerations). Furthermore, this finding is an important proof for the validity of the IBS. At the same time, this is an example of the simulation of pathological situations by different positions  
Figure 5: Parameter medio-lateral load distribution (LEFT) for different sports in positions in positions NO (**A**), NC (**B**), PO (**C**), and PC (**D**). CON—recreational athletes, BAS—Basketball, SKI—Ski Jumping, DIV—Diving, GYM—Gymnastics. Values are given as mean and standard deviation. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Test Positions** & **Parameters** & **Age** & **Height** & **Weight** \\ \hline \multirow{4}{*}{NO} & ST & \(-\)0.30 & \(-\)0.08 & \(-\)0.01 \\  & WDI & \(-\)0.05 & 0.05 & 0.13 \\  & HEEL & \(-\)0.19 & 0.04 & 0.16 \\  & LEFT & 0.12 & 0.04 & 0.05 \\ \hline \multirow{4}{*}{NC} & ST & \(-\)0.30 & \(-\)0.05 & 0.01 \\  & WDI & \(-\)0.05 & \(-\)0.02 & 0.07 \\  & HEEL & \(-\)0.22 & 0.03 & 0.11 \\  & LEFT & 0.14 & 0.05 & 0.14 \\ \hline \multirow{4}{*}{PO} & ST & 0.28 & 0.35 & 0.46 \\  & WDI & \(-\)0.06 & 0.37 & 0.27 \\ \cline{1-1}  & HEEL & 0.04 & \(-\)0.36 & \(-\)0.21 \\ \cline{1-1}  & LEFT & \(-\)0.10 & \(-\)0.15 & \(-\)0.13 \\ \hline \multirow{4}{*}{PC} & ST & 0.27 & **0.50** & **0.55** \\ \cline{1-1}  & WDI & 0.01 & 0.39 & 0.30 \\ \cline{1-1}  & HEEL & \(-\)0.05 & \(-\)0.38 & \(-\)0.22 \\ \cline{1-1}  & LEFT & \(-\)0.02 & \(-\)0.01 & 0.01 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Bivariate correlations (r) between anthropometric/demographic and interactive balance system (IBS) parameter depending on positions. Relevant correlations (r \(\geq\) 0.5) marked in bold. (NO, NC, PO, and PC) and conditions (e.g., using pads, eyes closed). According to the strategy \"testing- the-limits\" [20], only the most demanding test positions (PO and PC) and conditions (e.g., using pads, eyes closed) are able to provide significant group differences. Comparable with the predictor sports, the variables age, weight, and height played only a minor role with regard to the postural parameters. These results support those of [PERSON] et al. [2] who investigated the static and dynamic postural control among athletes in different sports. They observed that gymnasts showed better balance compared to female basketball players. [PERSON] [21] examined the dynamic balance of gymnasts compared to swimmers and soccer players via a stabilometer with gymnasts displaying better balance compared to the other groups [3]. The basketball players in our study, as well as the recreational athletes, had increasing forefoot weight distribution during the most difficult test position (PC). In this position, both the basketball and recreational athletes changed their strategy compared to the positions without foam pads, while the more technical sports athletes kept their forefoot/heel ratio close to 50%. In order to accurately compare the postural stability of different sports, it is theoretically necessary to compare athletes at similar levels of competition. [PERSON] et al.