9 research outputs found
Additional file 1: of Identifying lower limb specific and generalised joint hypermobility in adults: validation of the Lower Limb Assessment Score
The Lower Limb Assessment Score. This file contains the name, patient and therapist instructions and criteria for each of the 12 tests of the Lower Limb Assessment score as described by the original authors that developed this tool. (DOCX 17 kb
Inability to perform because of pain/injury in elite adult Irish dance: A prospective investigation of contributing factors
© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd. Previous research in Irish dancing (ID) has recorded high levels of pain/injury. Screening protocols in other genres have been developed to identify at-risk dancers. The aims of the study were to examine the factors that relate to absence from dancing because of musculo-skeletal pain/injury in ID, and to inform guidelines for the development of an evidence-based screening protocol. Baseline subjective data (n=85) and physical data (n=84) were gathered. Subjects completed a monthly online questionnaire for 1 year providing data on general physical and psychological health and rates of pain/injury. Subjects were allocated to a "More Time Absent (MTA)" or "Less Time Absent (LTA)" category depending on their duration of absence from performance over the year. Eighty-four subjects completed the year-long follow-up (MTA: n=32; LTA: n=52). Two hundred seventy-eight complaints of pain/injury were recorded. Factors significantly associated with membership of the MTA group included greater anger-hostility (P=0.003), more subjective health complaints (P=0.026), more severe previous pain/injury (P=0.017), more general everyday pain (P=0.020), more body parts affected by pain/injury (P=0.028), always/often dancing in pain (P=0.028), and insufficient sleep (P=0.043). Several biopsychosocial factors appear to be associated with absence from ID because of pain/injury. Biopsychosocial screening protocols and prevention strategies may best identify at-risk dancers