INTRODUCTION: To provide a state of the art on diagnostics, clinical characteristics, and treatment of paediatric generalised joint hypermobility (GJH) and joint hypermobility syndrome (JHS).METHOD: A narrative review was performed regarding diagnostics and clinical characteristics. Effectiveness of treatment was evaluated by systematic review. Searches of Medline and Central were performed and included nonsymptomatic and symptomatic forms of GJH (JHS, collagen diseases).RESULTS: In the last decade, scientific research has accumulated on all domains of the ICF. GJH/JHS can be considered as a clinical entity, which can have serious effects during all stages of life. However research regarding the pathological mechanism has resulted in new potential opportunities for treatment. When regarding the effectiveness of current treatments, the search identified 1318 studies, from which three were included (JHS: n = 2, Osteogenesis Imperfecta: n = 1). According to the best evidence synthesis, there was strong evidence that enhancing physical fitness is an effective treatment for children with JHS. However this was based on only two studies.CONCLUSION: Based on the sparsely available knowledge on intervention studies, future longitudinal studies should focus on the effect of physical activity, fitness, and joint stabilisation. In JHS and chronic pain, the effectiveness of a multidisciplinary approach should be investigated.
Background: To determine whether adolescents with generalized hypermobility spectrum disorder/hypermobile Ehlers-Danlos syndrome (G-HSD/hEDS) show changes in the level of disability, physical functioning, perceived harmfulness and pain intensity after completing multidisciplinary rehabilitation treatment.Methods: Pre-test post-test design. Fourteen adolescents with G-HSD/hEDS participated. The multi-disciplinary rehabilitation treatment consisted of a combination of physical training and exposure in vivo. Physical training aims to improve aerobic capacity, muscle strength and propriocepsis for compensating hypermobility. Exposure in vivo aims to decrease disability and pain-related fear. Pre- and post-treatment assessments were conducted to assess the level of disability, physical functioning (motor performance, muscle strength and physical activity level), perceived harmfulness and pain intensity.Results: After completing multidisciplinary rehabilitation treatment, the adolescents showed a significant and clinically relevant improvement (improvement of 67%, p < 0.01) in functional disability. Furthermore, significant improvements were found in motor performance (p < 0.01), muscle strength (p < 0.05), perceived harmfulness (p < 0.01) and pain intensity (p < 0.01) after completing multidisciplinary rehabilitation treatment.Conclusion: Multidisciplinary rehabilitation treatment leads to a significantly and clinically relevant improvement in the level of disability for adolescents with G-HSD/hEDS. Positive effects were also found in physical functioning, perceived harmfulness and pain intensity. Although the results of this multidisciplinary rehabilitation treatment for adolescents with G-HSD/hEDS are promising, further study is needed to confirm these findings in a randomized design.
Low back pain is the leading cause of disability worldwide and a significant contributor to work incapacity. Although effective therapeutic options are scarce, exercises supervised by a physiotherapist have shown to be effective. However, the effects found in research studies tend to be small, likely due to the heterogeneous nature of patients' complaints and movement limitations. Personalized treatment is necessary as a 'one-size-fits-all' approach is not sufficient. High-tech solutions consisting of motions sensors supported by artificial intelligence will facilitate physiotherapists to achieve this goal. To date, physiotherapists use questionnaires and physical examinations, which provide subjective results and therefore limited support for treatment decisions. Objective measurement data obtained by motion sensors can help to determine abnormal movement patterns. This information may be crucial in evaluating the prognosis and designing the physiotherapy treatment plan. The proposed study is a small cohort study (n=30) that involves low back pain patients visiting a physiotherapist and performing simple movement tasks such as walking and repeated forward bending. The movements will be recorded using sensors that estimate orientation from accelerations, angular velocities and magnetometer data. Participants complete questionnaires about their pain and functioning before and after treatment. Artificial analysis techniques will be used to link the sensor and questionnaire data to identify clinically relevant subgroups based on movement patterns, and to determine if there are differences in prognosis between these subgroups that serve as a starting point of personalized treatments. This pilot study aims to investigate the potential benefits of using motion sensors to personalize the treatment of low back pain. It serves as a foundation for future research into the use of motion sensors in the treatment of low back pain and other musculoskeletal or neurological movement disorders.
