## 4 Discussion  
Motion analysis of the work environment can be a beneficial tool for evaluation, diagnosis, and engineering solutions. Data analysis can support ergonomic conclusions and prevent or minimize harmful movement effects [34]. The comparative analysis presented in this research highlights the differences across different scenarios and data cross-sections. The main data variations that have the greatest impact on the lift motion ergonomics have been distinguished: physical readiness level, age, and lifting scenarios. Evaluations across different data sections showed that the poorest ergonomic outcomes were observed among men with a high level of physical readiness who performed movements without a transfer belt or without any patient assistance. The assumption has been made that this might be impacted by sports activities that require explosive and agile movements, potentially leading to exaggerated lifting postures. The research results suggest that physical readiness is essential, but a moderate fitness level is more beneficial than exceptional performance in sports. While a high fitness level may improve the prevention of acute traumas, it  
Figure 10: Neck, shoulder, and elbow mean value comparison with experiment model: (**A**)—neck 15° flexion scenario, (**B**)—neck 30° flexion scenario, (**C**)—neck 45° flexion scenario, (**D**)—shoulder verification with 14.3 Nm baseline, (**E**)—elbow verification with 5.8 Nm baseline, (**F**)—shoulder verification with 22.5 Nm baseline. Colored area around average value shows \(\pm\)SD. could also increase the risk of chronic traumas due to the greater forces exerted on the musculoskeletal system. This finding challenges the conventional belief that higher fitness levels always lead to better ergonomic performance. The relationship between fitness levels and ergonomic outcomes highlights how a training program can influence occupational safety, enabling targeted and research-based physical training to maximize the ergonomic efficiency of specialists. This could be greatly enhanced with modern technology, such as wearable sensors that provide instant feedback on the posture of specialists performing the movement. Similar findings could apply to other industries involving lift motions, especially where the objects being lifted are cumbersome, requiring adaptations to technique or posture. Notably, the best ergonomic parameters are observed in women with a moderate physical readiness level and more than three years of work experience who use an ergonomic belt during transfers. It was detected that women generally exert less load on their bodies than men, even in normalized conditions. These results are unexpected because, generally, greater strength and body size are expected to provide better control over motion, which should enhance technique. Furthermore, researchers suggest that there is no significant difference between sexes when it comes to relative strength performance [35]. Nonetheless, lift ergonomics are significantly influenced by body posture, with notable differences observed. This research does not provide support to explain how ergonomic outcomes might differ between men and women; therefore, further research on this topic is recommended. Medical institutions could use this research as a basis for making improvements. One of the main recommendations is to introduce ergonomic belt use, as it significantly improves patient lift ergonomics. Although this requires the patient to be equipped with a belt, which can be time-consuming and potentially inconvenient, it helps reduce the load on the musculoskeletal system during the lift. The mandatory use of such assistive devices should be considered. Since fitness levels should not be ignored, it is recommended that training programs be developed that help specialists improve their posture control and strengthen their core, leg, and arm muscles. Training programs or other fitness encouragement could serve as proactive measures for preventing injuries.