Background: Currently, there is a lack of studies monitoring the relationship between lower urinary tract symptoms and mobility disorders in women with multiple sclerosis. The aim of this study was to monitor the relationship between overactive bladder and mobility impairments in women with multiple sclerosis. Methods: A number of 106 female patients with multiple sclerosis (MS) with relapsing -remitting (RR) form, disability stage: EDSS <= 6.5, from the specialized outpatient clinic of the Department of Neurology, Faculty of Medicine, University of Medical Sciences in Kosice. Urinary leakage symptoms were assessed by the modified International Consultation on Incontinence Questionnaire (ICIQ UI-SF), and overactive bladder symptoms were assessed by the Short Overactive Bladder Symptoms Questionnaire (OAB-q). The Multiple Sclerosis Impact Scale (MSIS-29) and the Rivermead Mobility Index (RMI) were used. Conclusion: In MS patients, we found the following correlations: a significant positive mean correlation between the severity of OAB and UI symptoms and physical attributes. We found a significant positive moderate correlation between severity of OAB and UI symptoms and psychological attributes. We found a negative signifi cant moderate correlation between OAB and UI symptom severity and mobility. It was confirmed that the more severe the symptoms of UI and OAB, the greater the difficulty of mobility in performing physical activities, and thus the negative impact of SM disease on patients' psychological health increases.

Background and Objectives: Post-COVID-19 condition (PCC, long COVID) is associated with persistent symptoms and marked reductions in health-related quality of life (HRQoL), but real-world data on rehabilitation and everyday functioning remain limited. Materials and Methods: In a cross-sectional online survey conducted between 15 April and 15 May 2024, we analysed 406 adults (308 women; mean age 36.0 ± 12.1 years) with ongoing post-COVID symptoms recruited from two moderator-supervised support communities. The questionnaire included sociodemographic and clinical items, the 36-Item Short Form Health Survey (SF-36) and the Post-COVID-19 Functional Status (PCFS) scale. Participants indicated whether they had completed any form of rehabilitation targeting post-COVID problems (yes/no). Group differences were examined using Welch’s t-test, Mann–Whitney U and χ² tests, as appropriate. Multiple linear regression models with Bonferroni correction were used to explore associations between rehabilitation status, age, sex, symptom duration and outcomes. Results: Overall, 182 respondents (44.8%) reported rehabilitation and 224 (55.2%) did not. The groups did not differ significantly in age, sex distribution, BMI, number of infections, symptom duration or hospitalisation history. Most SF-36 domains, component summaries and PCFS differed significantly between groups, with small-to-large effects favouring respondents who reported rehabilitation. The largest effect sizes were observed for Vitality and Mental Health, whereas Physical Functioning showed no clear difference. In multivariable models, older age and longer symptom duration were consistently associated with poorer HRQoL, while rehabilitation status remained a robust correlate of better scores in several SF-36 domains, both component summaries, perceived health, and lower PCFS grades after correction for multiple testing. Conclusions: Although the cross-sectional design, self-reported data and non-standardised rehabilitation exposure preclude causal inference, the findings highlight the substantial HRQoL and functional burden of long COVID and suggest that, within a symptomatic population, reported completion of rehabilitation is positively associated with multiple aspects of everyday health and functioning.

Regular sports activity induces kinesiological adaptations and alters musculoskeletal configuration, influencing postural control and balance. These adaptations vary by sport type and may differentiate athletes from non-athletes. This study analysed the effect of regular physical activity, including high-performance sport participation, on postural stability and examined whether this influence is reflected in static sway parameters. The study included 88 men divided into an athlete group (S: n = 46) and a non-athlete control group (NS: n = 42). A comparative design was used to assess differences between groups. Postural diagnostics were carried out with the Feemed Maxi baropodometric platform, enabling precise evaluation of plantar pressure distribution and standing stability. Athletes demonstrated greater asymmetry in foot-loading distribution globally and within partial plantar segments. Mean asymmetry values were higher in athletes (total foot: +3.131; forefoot: −2.414; rearfoot: +2.413) than in non-athletes (total foot: −2.472; forefoot: +0.983; rearfoot: −1.317). The primary statistically significant finding was a greater anteroposterior centre-of-pressure displacement in athletes, indicating increased sagittal-plane postural load (p < 0.001), whereas mediolateral displacement remained minimal and non-significant (NS: −0.012; S: −0.011; p = 0.891). Overall normalised CoP position was slightly higher in non-athletes (10.245%) than in athletes (10.103%). Long-term sports loading influences plantar pressure distribution and postural mechanics through subtle, often subclinical adaptations shaped by training level, sport specialisation, and individual biomechanical characteristics.

The aim of this study was to examine the correlation between postural stability and the dynamic function of the lower limbs in university students, and to identify differences based on their academic specialization. The sample consisted of 68 University of Presov students (age: 23.06±2.48; BMI: 22.81±2.50). The sample was divided according to students’ academic focus: Faculty of Health Care students (FHC) (n=32; age: 21.88±0.71; weight: 67.44±12.37 kg; height: 1.72±0.08 m; BMI: 22.62±2.80) and Faculty of Sport students (FS) (n=36; age: 24.11±2.98; weight: 72.44±10.17 kg; height: 1.77±0.09 m; BMI: 22.99±2.23). For monitored parameters evaluating, we have used the Freemed baropodometric platform and Y balance test (YBT). The YBT scores of FS students were l.sin. = 97.31±6.41; l.dx. = 96.42±7.76, and of FHC students were l.sin. = 87.49±7.24; l.dx. = 86.50±8.10. No significant differences were found between the composite scores of the left (p=0.48) and right (p=0.80) lower limbs in both groups (p < 0.05). The correlation between postural stability and lower limb dynamic function showed no significance (l.sin. R2 = 0.017; l.dx. = R2=0.010). The results of the study indicate a very weak correlation between postural stability and dynamic function of the lower limbs among the students tested.