Background/Objectives: As adults spend about 30% of each day asleep, having a sleep disorder can negatively affect their functioning. The study objective was to determine the factors that influence sleep quality among patients and healthcare providers in the primary healthcare setting. Methods: This study included respondents of both sexes aged 18–90 years, comprising outpatients and the healthcare providers working in the General Medicine Service at the “Liman” Department of the “Novi Sad” Health Center in Novi Sad, Republic of Serbia. Demographic data along with factors related to lifestyle and sleep habits were collected using a demographic questionnaire specifically designed for this research. The standardized Pittsburgh Sleep Quality Questionnaire, Serbian version (PSQI), was used to assess sleep quality. Results: The study sample comprised 92 respondents (42 healthcare providers and 50 patients), 73.9% of whom were female, with an average age of 50.0 years. Although 50% of healthcare providers reported sleeping only 3–6 h the previous night, according to the PSQI results, patients had lower overall sleep quality (54.0% vs. 33.3%; p = 0.046) and achieved lower scores in the DISTB (sleep disturbances, p = 0.001), SLPQUAL (subjective sleep quality, p = 0.013) and MEDS (use of sleeping medication, p = 0.003) PSQI domains. Conclusions: Sleep quality is impaired in more than half of patients and more than a third of healthcare providers. By detecting and acting on the factors in the home and work environment that affect quality of sleep, and by changing lifestyle habits, sleep quality in adults can be improved.
8 August 2025 in WORK: A Journal of Prevention, Assessment & Rehabilitation
Background: Sleep quality is essential for maintaining health and work performance. However, it remains understudied among healthcare professionals, such as physiotherapists, who are exposed to occupational demands that may impair sleep, even without night shifts. Objective: This pilot study aimed to assess sleep quality among physiotherapists and explore its associations with occupational and lifestyle factors. Methods: A cross-sectional study was conducted with 22 physiotherapists employed at the Clinic for Physical Medicine and Rehabilitation of Institute for Child and Youth Health Care of Vojvodina Novi Sad, Serbia. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and a custom questionnaire collected data on age, gender, work tenure, sport participation and commuting habits. Non-parametric statistical methods (Mann-Whitney U, Kruskal-Wallis, Spearman's correlation) were used. All participants provided informed consent, and ethical standards were followed. Results: The median age was 39.8 ± 10.9 years; 81.8% were female, with a mean work tenure of 15.7 ± 11.5 years. The average PSQI score was 7.0 ± 2.8, indicating poor sleep quality. Poorer sleep quality was significantly associated with longer work tenure ( p = 0.003) and commuting by bicycle ( p = 0.027). Gender and sport participation showed no significantly association with sleep quality ( p > 0.05). Conclusions: Despite the absence of night shifts, physiotherapists in this study exhibited poor sleep quality. Longer work tenure and active commuting may contribute to this issue. Further research with larger samples is needed to clarify causal relationships and inform sleep-related interventions targeting healthcare professionals.
Balance is a key component of postural stability, and center of pressure (CoP) parameters enable objective assessment of postural control. This study examined associations between anthropometric characteristics and CoP parameters during the Single-Leg Stance Test (SLS) in physiotherapy students. This cross-sectional observational study included 69 students from the Medical Rehabilitation undergraduate degree at the Faculty of Medicine, University of Novi Sad, Serbia, grouped according to year of study (first and fourth). Participants underwent anthropometric measurements and static balance assessment using the SLS with eyes open and closed, with CoP parameters recorded using the Vicon® system and a force plate. CoP excursion in the anteroposterior (AP) and mediolateral (ML) directions and CoP mean velocity (CoP MV) were analyzed using descriptive statistics and Spearman’s correlation (p < 0.05). In first-year students, CoP MV was positively correlated with body mass and BMI during right-leg stance with eyes open (r = 0.457, p < 0.05; r = 0.466, p < 0.05). In fourth-year students, CoP MV was positively correlated with body height and left lower limb length during left-leg stance with eyes open (r = 0.485, p < 0.01; r = 0.500, p < 0.01). Overall, CoP MV demonstrated the greatest number of significant associations. These findings suggest associations between anthropometric characteristics and selected static balance parameters in physiotherapy students.