The Assessment of the Occurrence of Benign Hypermobility Joint Syndrome in Physiotherapy Students
Abstract
The occurrence of connective tissue disorders is an important factor for development of occupational diseases in professions requiring a non-ergonomic and often static load of the musculoskeletal system. Symptoms of the connective tissue disorders appear at different ages. The diagnosis of hypermobility is an important problem due to the lack of uniform diagnostic criteria. The aim of this paper is to evaluate the incidence of joint hypermobility and its relation with a history of injuries and the level of physical activity in Physiotherapy students. The study involved 143 students (69% female, 31% male) aged 18 to 27 years (M = 20.7; SD = 1.43). The assessment of the occurrence of Benign Hypermobility Joint Syndrome (BHJS) syndrome was performed using the Beighton and Brighton scale. Among the surveyed students almost 82% of the women and just over 18% of the men fulfilled the diagnostic criteria for the diagnosis of hypermobility. A significant difference was also observed in the physical activity of the students. Among those who showed no signs of hypermobility exactly half of the participants trained sports as amateurs, while in the group of people with hypermobility the proportion was lower by nearly half. BHJS was not related to injuries and operations in the study group.
Read the paper
Related studies
- PSMA PET/CT: joint EANM procedure guideline/SNMMI procedure standard for prostate cancer imaging 2.0
- Randomized controlled trial for time-restricted eating in healthy volunteers without obesity
- Intracorporeal or Extracorporeal Ileocolic Anastomosis After Laparoscopic Right Colectomy: A Double-blinded Randomized Controlled Trial
- Updates to Male Infertility: AUA/ASRM Guideline (2024)
- Effects of trauma‐informed approaches in schools: A systematic review
- Targeted T cell Therapy in Stage IV Breast Cancer: A Phase I Clinical Trial
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.