Motor skills in students can be developed or improved through regular physical activity such as walking in nature, Nordic walking, hiking, cycling and swimming. This study aimed to examine the relationship between motor skills and various anthropometric and health-related factors, and to appraise any differences in motor performance and body mass index (BMI) on a sample of university students from Croatia. A total of 122 students (73 of them in health programs and 49 in non-health programs) aged 18 to 44 years participated in the study. Motor abilities were evaluated using standardized motor tests, while body composition was assessed via bioelectrical impedance analysis, which measured fat tissue, muscle and bone mass, metabolic age, degree of obesity, total body water, and BMI. While the groups were similar in terms of BMI and weight, students in non-health-related study programs had significantly higher values across a wide array of detailed body composition measures, particularly related to fat and muscle mass. Significant negative correlations were observed between body fat percentage and trunk lift performance (r = −0.55, p < 0.01), as well as between metabolic age and trunk lift performance (r = −0.44, p < 0.01) in health students. In non-health students, the strongest negative correlation was found between body fat percentage and flexibility (r = −0.47, p < 0.01). Higher muscle mass was a positive predictor of motor performance while higher fat mass and metabolic age were significant negative predictors. These findings underscore the impact of body composition on motor performance, particularly strength and flexibility, and highlight the need for targeted preventive strategies among university students. The study supports the implementation of early interventions promoting physical activity and healthy body composition to preserve motor abilities and long-term functional health in this critical age group—especially since lifestyle habits formed during university years tend to persist into adulthood.

Introduction: Prolonged sitting, computer work and digital workload are associated with frequent occurrence of pain in the spine and upper extremities, as well as increased stress and mental problems. Some difficulties often arise from static strain caused by long hours of computer work and inappropriate ergonomic working conditions. The aim of this study was to assess the occurrence of the difficulties described in non-teaching staff in an academic environment. Methods: The cross-sectional design of this study included 34 non-teaching employees of University North. Demographic data and the Nordic Musculoskeletal Questionnaire and Questionnaire on depression, anxiety and stress (The Depression, Anxiety and Stress Scale—DASS-21) were used. Results: The results presented a moderate level of stress in 32.4% of participants, while 29.4% had a normal level of stress. A normal level of anxiety was observed in 44.1% of participants, whereas 23.5% reported extremely severe anxiety. A statistically significant difference was found between troubles in the shoulders during the last 12 months and stress levels. Also, a statistically significant difference was found between troubles in the wrists/hands during the last 12 months and depression. Conclusions: Given the relatively small sample size and the large number of statistical comparisons performed, these findings may represent either true associations or chance findings and therefore require confirmation in larger longitudinal studies specifically designed to investigate the relationship between psychological factors and musculoskeletal complaints.

Background/Objectives: Postpartum sexual dysfunction is common and multifactorial, yet structured physiotherapy interventions specifically targeting sexual function after childbirth remain insufficiently investigated. This study aims to evaluate the effectiveness of Postpartum Sexual Health Exercise (POSH-Ex), a standardized, multimodal, physiotherapist-led online therapeutic exercise programme designed to improve postpartum sexual function. We hypothesise that participants allocated to POSH-Ex will have a higher mean FSFI total score at 12 weeks than participants receiving usual postpartum care, after adjustment for baseline FSFI score. Methods: This randomized controlled trial will include 84 women recruited at 10–12 weeks postpartum and randomly allocated (1:1) to the POSH-Ex intervention or control group. The intervention will consist of a 12-week progressive programme delivered twice weekly in 60-min sessions, integrating pelvic floor muscle training, breathing and relaxation exercises, trunk stabilization, functional strengthening, flexibility, and movement re-education, while the control group will receive usual postpartum care and continue their usual activities without a study-specific exercise intervention. Outcomes will be assessed at baseline and after 12 weeks. Sexual function, assessed using the Female Sexual Function Index (FSFI), is the primary outcome; physical activity (IPAQ-SF), fatigue (FAS), and depressive symptoms (EPDS) are secondary outcomes. The primary analysis will compare FSFI scores at 12 weeks between groups using analysis of covariance (ANCOVA) adjusted for baseline FSFI. The trial was prospectively registered at ClinicalTrials.gov (NCT07747285). Conclusions: The POSH-Ex trial is designed to determine whether a structured, multimodal, physiotherapist-led online therapeutic exercise programme improves postpartum sexual function compared with usual postpartum care. If effective, POSH-Ex may inform the development of structured physiotherapy approaches that recognise sexual health as an integral component of comprehensive postpartum care.

Motor skills in students can be developed or improved through regular physical activity such as walking in nature, Nordic walking, hiking, cycling and swimming. This study aimed to examine the relationship between motor skills and various anthropometric and health-related factors, and to appraise any differences in motor performance and body mass index (BMI) on a sample of university students from Croatia. A total of 122 students (73 of them in health programs and 49 in non-health programs) aged 18 to 44 years participated in the study. Motor abilities were evaluated using standardized motor tests, while body composition was assessed via bioelectrical impedance analysis, which measured fat tissue, muscle and bone mass, metabolic age, degree of obesity, total body water, and BMI. While the groups were similar in terms of BMI and weight, students in non-health-related study programs had significantly higher values across a wide array of detailed body composition measures, particularly related to fat and muscle mass. Significant negative correlations were observed between body fat percentage and trunk lift performance (r=–0.547, p<0.01), as well as between metabolic age and trunk lift performance (r=–0.444, p<0.01) in health students. In non-health students, the strongest negative correlation was found between body fat percentage and flexibility (r=–0.467, p<0.01). Multiple linear regression analysis revealed that higher muscle mass was a positive predictor of motor performance (β=0.565, p<0.001), while higher fat mass and metabolic age were significant negative predictors (β=–0.858, p=0.049; β=–0.911, p=0.003, respectively). Students with excessive body weight consistently exhibited higher fat mass, metabolic age, as well as poorer motor outcomes. These findings underscore the impact of body composition on motor performance, particularly strength and flexibility, and highlight the need for targeted preventive strategies among university students. The study supports the implementation of early interventions promoting physical activity and healthy body composition to preserve motor abilities and long-term functional health in this critical age group – especially since lifestyle habits formed during university years tend to persist into adulthood.

Assessing the quality of research output is challenging. Systematic reviews and meta-analyses of randomized trials have a pivotal role in informing clinical practice and policy decisions, and there is a broad agreement that the method quality of primary research should be carefully assessed (Albanese et al., 2020). One of the instruments to do that is the Physiotherapy Evidence Database (PEDro) scale, specifically designed to assess the quality of methods used in clinical trials in the field of physiotherapy (Elkins et al., 2013). Its reliability in terms of ICC values ranges from 0.55 (95% confidence interval CI: 0.47–0.65) for the original scale, to 0.82 (95% CI: 0.70–0.89) for the Portuguese version (Shiwa et al., 2011). The PEDro scale consists of 11 items encompassing the domains of external validity (item 1: Eligibility criteria and source), internal validity (items 2 to 9: Random allocation; Concealed allocation; Baseline comparability; Blinding of participants; Blinding of therapists; Blinding of assessors; Adequate follow-up (>85%); and Intention-to-treat analysis), and statistical reporting (items 10 and 11: Betweengroup statistical comparisons and Reporting of point measures and measures of variability) (Cashina, McAuleya, 2020). Each item is scored as either present (1) or absent (0), leading to a maximum score of 10 (Paci, Bianchini and Baccini, 2022). A trial is considered of moderate to high quality if it scores at least 6 of 10 (Paci, Bianchini and Baccini, 2022). The purpose of the PEDro score is to help researchers identify trials that have good internal validity (items 2–9) and that report enough data to make their results interpretable (items 10 and 11) (Moseleya et al., 2020). Interpreting these items correctly is critical to high-quality, evidence-based health practice. Unlike PEDro, however, the Cochrane Collaboration distinguishes between the methodological quality of a study and the risk of bias: a study of high quality can still be at high risk of bias (Higgins et al., 2011). The Cochrane risk of bias (RoB) tool focuses on the internal validity of trials and assesses six domains of bias: selection bias, performance bias, detection bias, attrition bias, reporting bias, and other bias (Higgins et al., 2011). These two tools can complement each other for an even better quality assessment of physiotherapy research and help disseminate and make transparent and available research output, encouraging interdisciplinary research along the way.

Background/Objectives: Insufficient physical activity among university students is a significant public health concern associated with unfavorable changes in body composition and reduced cardiorespiratory fitness. This study examined whether participation in a 12-week structured running programme was associated with changes in body composition and selected components of health-related physical fitness in physiotherapy students compared with an inactive control group. Methods: A total of 64 physiotherapy students participated in this quasi-experimental study and self-selected into an experimental (n = 22) or control group (n = 42). The experimental group participated in a 12-week structured running programme comprising two supervised running sessions (Monday and Friday) and one brisk walking session (Wednesday) per week. Although brisk walking was incorporated as one weekly aerobic training session, running represented the principal training modality throughout the intervention, whereas the control group did not participate in organized physical activity. Body composition, estimated maximal oxygen uptake (estimated VO₂max), forward-reach flexibility, and standing long jump performance were assessed before and after the intervention. The primary analysis was performed using analysis of covariance (ANCOVA), with post-intervention values as dependent variables, study group as the fixed factor, and baseline values together with sex included as covariates. Statistical significance was interpreted after adjustment for multiple comparisons using the Holm procedure. Results: After adjustment for baseline values and sex, the intervention group showed significantly greater improvements than the control group in body mass (p < 0.001), body fat percentage (p < 0.001), visceral fat rating (p = 0.002), body mass index (p < 0.001), total body water (p = 0.047), estimated VO₂max (p = 0.019), and forward-reach flexibility (p = 0.002). No statistically significant between-group difference was observed for standing long jump performance (p = 0.124). The largest adjusted effect sizes were observed for body mass index and body fat percentage. Conclusions: Participation in a 12-week structured running programme was associated with more favorable changes in body composition, estimated cardiorespiratory fitness, total body water, and forward-reach flexibility compared with the control group. These findings suggest that structured running programmes may warrant further evaluation as a potential university-based health-promotion approach.