The purpose of this study was to study the association between the presence of generalized joint hypermobility (GJH) and anxiety within a non-clinical high performing group of adolescents and young adults. Second, to study the impact of GJH and/or anxiety on physical and psychosocial functioning, 168 adolescents and young adults (mean (SD) age 20 (2.9)) were screened. Joint (hyper)mobility, anxiety, and physical and psychosocial functioning were measured. In 48.8% of all high performing adolescents and young adults, GJH was present, whereas 60% had symptoms of anxiety. Linear models controlled for confounders showed that adolescents and young adults with GJH and anxiety had decreased workload (ß (95%CI) -0.43 (-0.8 to -0.08), p-value 0.02), increased fatigue (ß (95%CI) 12.97 (6.3-19.5), p-value < 0.01), and a higher level of pain catastrophizing (ß (95%CI) 4.5 (0.5-8.6), p-value 0.03). Adolescents and young adults with only anxiety had increased fatigue (ß (95%CI) 11 (4.9-19.5). In adolescents and young adults with GJH alone, no impact on physical and psychosocial functioning was found. Adolescents and young adults with the combination of GJH and anxiety were significantly more impaired, showing decreased physical and psychosocial functioning with decreased workload, increased fatigue, and pain catastrophizing. Presence of GJH alone had no negative impact on physical and psychosocial functioning. This study confirms the association between GJH and anxiety, but especially emphasizes the disabling role of anxiety. Screening for anxiety is relevant in adolescents and young adults with GJH and might influence tailored interventions.
Inertial measurement units (IMUs) allow for measurements of kinematic movements outside the laboratory, persevering the athlete-environment relationship. To use IMUs in a sport-specific setting, it is necessary to validate sport-specific movements. The aim of this study was to assess the concurrent validity of the Xsens IMU system by comparing it to the Vicon optoelectronic motion system for lower-limb joint angle measurements during jump-landing and change-of-direction tasks. Ten recreational athletes performed four tasks; single-leg hop and landing, running double-leg vertical jump landing, single-leg deceleration and push off, and sidestep cut, while kinematics were recorded by 17 IMUs (Xsens Technologies B.V.) and eight motion capture cameras (Vicon Motion Systems, Ltd). Validity of lower-body joint kinematics was assessed using measures of agreement (cross-correlation: XCORR) and error (root mean square deviation and amplitude difference). Excellent agreement was found in the sagittal plane for all joints and tasks (XCORR > 0.92). Highly variable agreement was found for knee and ankle in transverse and frontal plane. Relatively high error rates were found in all joints. In conclusion, this study shows that the Xsens IMU system provides highly comparable waveforms of sagittal lower-body joint kinematics in sport-specific movements. Caution is advised interpreting frontal and transverse plane kinematics as between-system agreement highly varied.
ObjectiveThe Joint Effort Initiative (JEI) is an international collaboration of clinicians, researchers, and consumer organisations with a shared vision of improving the implementation of osteoarthritis management programs (OAMPs). This study aimed to identify JEI's future priorities and guide direction. DesignA two-part international survey to prioritise topics of importance to our membership and research stakeholders. Survey one presented a list of 40 topics under 5 themes. Consenting participants were asked to choose their top three topics in each theme. A short list of 25 topics was presented in survey two. Participants were asked to rank the importance (100-point NRS scale, 100 = highest priority). Response frequency (median, IQR) was used to rank the top priorities by theme. Results Ninety-five participants completed survey one (61% female, 48% clinicians) and 57 completed survey two. The top ranked topic/s were: i. Promotion and advocacy: support training for health professionals (median 85, IQR 24). ii. Education and training: incorporating behaviour change into OAMPs (80, 16), advanced OA skills (80, 30), and integration of OA education into clinical training (80, 36). iii. Improving OAMPs delivery: regular updates on changes to best-evidence OA care (84, 24). iv. Future research: improve uptake of exercise, physical activity, and weight-loss (89, 16). v. Enhancing relationships, alliances, and shared knowledge: promote research collaborations (81, 30), share challenges and opportunities for OAMP implementation (80, 23). ConclusionsThese topics will set the JEI's research and collaboration agenda for the next 5 years and stimulate ideas for others working in the field.
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