Introduction: Joint hypermobility syndrome (JHS) symptoms of widespread joint hypermobility and pain, muscle weakness and reduced muscle-tendon stiffness suggest that there may be an impact on gait parameters. Identification of gait abnormalities may inform assessment and management. The objective in the present study was to use a cross-sectional designed study to explore the impact of JHS on gait parameters.
Methods: A JHS group of 29 participants (mean age 37.57 (S.D. 13.77) years) was compared to a healthy control group of 30 participants (mean 39.27 (S.D. 12.59) years). Spatiotemporal parameters, joint kinematics and joint kinetics were captured using the Qualisys motion capture system synchronized with a Kistler force platform.
Results: Statistically significant reductions in walking speed, stride length and step length were found in the JHS group, while stance and double support durations were significantly increased (p < 0.01). During the swing phase, the JHS group showed significantly less knee flexion (p < 0.01). Reductions in hip extensor moment, and knee power generation and absorption were identified in the JHS group (p < 0.01). No other gait parameters were significantly altered.
Conclusion: The JHS group walked more slowly with a kinematic 'stiffening' pattern. Hypermobility was not evident during gait. The observed stiffening pattern could be a strategy to avoid pain and improve balance. Impairments in moment and power generation could be related to several symptomatic and etiological factors in JHS. Clinicians should carefully consider gait in the assessment and management of people with JHS targeting the impairments identified by the current study.
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http://dx.doi.org/10.1002/msc.1461 | DOI Listing |
Europace
March 2025
Clinical Cardiac Academic Group, Genetic and Cardiovascular Sciences Institute, City-St George's University of London, London, UK.
Atrial fibrillation (AF) is one of the most common cardiac diseases and a complicating comorbidity for multiple associated diseases. Many clinical decisions regarding AF are currently based on the binary recognition of AF being present or absent with the categorical appraisal of AF as continued or intermittent. Assessment of AF in clinical trials is largely limited to the time to (first) detection of an AF episode.
View Article and Find Full Text PDFJ Insect Physiol
March 2025
College of Agriculture, Guangxi University, Guangxi Key Laboratory of Agric-Environment and Agric-products Safety, Nanning, Guangxi 530004, People's Republic of China. Electronic address:
Insects rely on juvenile hormones to regulate various physiological processes, including reproduction and molting; currently eight forms of this hormone are known. In most insects, only JH Ⅲ is synthesized. Meanwhile, aphids produce JH Ⅲ and JH Ⅲ skipped bisepoxide (JHSB).
View Article and Find Full Text PDFArthrosc Sports Med Rehabil
February 2025
Rothman Orthopaedic Institute, Philadelphia, Pennsylvania, U.S.A.
Purpose: To determine, using multivariate regression, whether patient-reported outcomes are associated with surgical timing to account for differences between groups.
Methods: Patients who underwent acromioclavicular (AC) joint surgery from 2010 to 2019 were included if they underwent primary AC joint surgery for a Rockwood grade III-V AC joint separation. Chart review was conducted to determine time from injury to surgery, Rockwood injury grade, and surgical technique.
Clin Diabetes
August 2024
Department of Clinical Sciences and Community Health, Touro University California College of Osteopathic Medicine, Vallejo, CA.
JSES Int
November 2024
Division of Shoulder Surgery, Department of Orthopaedic Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Background: Joint hypermobility syndrome (JHS) and Ehlers-Danlos Syndrome (EDS) are connective tissue disorders characterized by increased joint laxity, affecting musculoskeletal health and quality of life. In this study, we explored recent trends in surgical treatment of shoulder instability among patients with these disorders.
Methods: We searched the PearlDiver Mariner database, which includes deidentified US all-payer claims data from 2010 to 2020.
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