YouTube_®, one of the busiest video-sharing platforms, may lack sufficient or accurate information on health information and practices given the absence of a rigorous evaluation process. This study aims to evaluate the reliability of information and quality of exercise videos on YouTube_® for rheumatoid arthritis. Video features and the source of the upload were sorted. Reliability of the information shared in the videos was evaluated using the mDISCERN too, and quality was assessed using the Global Quality Scale and JAMA scoring system. Videos were independently analyzed by two physiotherapists specialized in rheumatologic rehabilitation. Any bias was resolved by an independent third assessor. One hundred thirty-four exercise videos were included. A hundred and twenty-six (94%) of the 134 exercise videos were found to be useful, and 8 (6%) were misleading. The useful and misleading videos had similar numbers of views, likes, comments, and subscribers (p > .05), while video duration and time since upload were higher for useful videos (p < .05). Cohen's Kappa scores demonstrated that the level of agreement between the assessors were moderate (mDISCERN = 0.417, Global Quality Scale = 0.582, and JAMA = 0.555). There was a significant difference in JAMA scores (p = .013) between the sources of the videos. However, no significant difference was found in mDISCERN (p = .104) and Global Quality Scale (p = .128) scores. YouTube_® exercise videos provide partially reliable and moderate-quality information for people with rheumatoid arthritis. However, patients should be cautious and not rely directly on YouTube_® exercise videos. Instead, they should consult a physician or physical therapist for exercises.

The aim of the study was to assess the psychometric properties of the Turkish version of Central Sensitization Inventory-9 (CSI-9) in patients with chronic musculoskeletal pain. The methodological study included 92 patients with chronic musculoskeletal pain. The original version of the CSI-9 was translated and culturally adapted into Turkish. The internal consistency and test-retest reliability were evaluated with Cronbach’s α and the intraclass correlation coefficient (ICC), respectively. The assessment of reproducibility was conducted with the standard error of measurement (SEM) and minimal detectable difference (MDD) values. Convergent validity was explored by correlation analysis between the CSI-9 and Central Sensitization Inventory (CSI-25), Brief Pain Inventory (BPI), and European Quality of Life Survey-5 Dimensions (EQ-5D). The structural validity was assessed with factor analysis. Floor and ceiling effects were also analyzed. We found a very good internal consistency (Cronbach’s α of 0.83) and excellent test-retest reliability (ICC of 0.96) of the Turkish CSI-9. The SEM demonstrated a range between 0.19 and 1.12, and the MDD was observed to vary from 1.17 to 1.35. The CSI-9 correlated significantly with the CSI-25 (r = 0.77, P < 0.001), the pain severity subscale of the BPI (r = 0.41 to 0.53, P < 0.001), the pain interference subscale of the BPI (r = 0.21 to 0.58, P = 0.02 to P < 0.001), the EQ-5D (r = 0.24 to 0.48, P < 0.05), and the EQ-5D visual analog scale (r = −0.41, P < 0.001). One factor was identified within the CSI-9. Our data suggest that the Turkish CSI-9 is reliable and valid outcome measure for assessing CS in patients with chronic musculoskeletal pain.

Background: The aim of this study was to compare the plantar pressure distribution and knee and ankle muscle architecture in women with and without knee osteoarthritis (OA).Methods: Fifty women with knee OA (mean age = 52.11 ± 4.96 years, mean Body mass index (BMI) = 30.94 ± 4.23 kg/m²) and 50 healthy women as a control group (mean age = 50.93 ± 3.78 years, mean BMI = 29.06 ± 4.82 kg/m²) were included in the study. Ultrasonography was used to evaluate knee and ankle muscles architecture and femoral cartilage thickness. The plantar pressure distribution was evaluated using the Digital Biometry Scanning System and Milleri software (DIASU, Italy). Static foot posture was evaluated using the Foot Posture Index (FPI), and pain severity was assessed using the Visual Analog Scale.Results: The OA group exhibited lower muscle thickness in Rectus Femoris (RF) (p = 0.003), Vastus Medialis (VM) (p = 0.004), Vastus Lateralis (p = 0.023), and Peroneus Longus (p = 0.002), as well as lower Medial Gastrocnemius pennation angle (p = 0.049) and higher Fat thickness (FT) in RF (p = 0.033) and VM (p = 0.037) compared to the control group. The OA group showed thinner femoral cartilage thickness (p = 0.001) and higher pain severity (p = 0.001) than the control groups. FPI scores were higher (p = 0.001) in OA group compared to the control group. The plantar pressure distribution results indicated an increase in total surface (p = 0.027), total load (p = 0.002), medial load (p = 0.005), and lateral load (p = 0.002) on dominant side in OA group compared to the control group.Conclusions: Knee and ankle muscle architecture, knee extensor muscle FT, and plantar pressure distribution in the dominant foot differed in individuals with knee OA compared to the control group.

Purpose: To investigate the relationship between physical activity, musculoskeletal system problems, sleep, and screen exposure time in university students during the distance learning process. Methods: Three hundred and one students (183 female, 118 male) participated in the study via online survey. The screen exposure time was recorded. The physical activity using Short Form International Physical Activity Questionnaire and pain using Visual Analog Scale were evaluated. Nordic Musculoskeletal System Questionnaire was used to evaluate musculoskeletal symptoms. The Pittsburg Sleep Quality Index was applied for the details of sleep quality. Results: The students had a low level of physical activity (58.8%) and poor sleep quality (70.8%). Musculoskeletal pain was reported in upper back (85%), lower back (85%), neck (79.4%), shoulder (71.4%). The pain was correlated with total sleep quality (r=0.320, p<0.001), daytime dysfunction (r=0.282, p<0.001), sleep quality (r=0.256, p<0.001), and sleep disturbances (r=0.232, p<0.001). The screen time exposure-education was weakly correlated with PSQI total score (r=0.118, p=0.04) and total activity (r=-0.148, p=0.01). Conclusion: The low-level physical activity, worsened sleep quality, high rate of musculoskeletal problems and increased amount of screen exposure were reported in the distance learning process. We believed that these problems could be the reason for serious health issues later, so approaches targeting to improve physical activity levels, better posture while studying could be beneficial.