Miguel Angel Alcocer Ojeda
Madrid, 28054, Spain
NCT Number: NCT05654168
This research will determine the presence of groin pain in professional dancers, through a specific questionnaire on the hip joint. Two groups will be formed made up of dancers over 18 years of age, men and women; one with groin pain and one without groin pain. All participants will undergo a functional muscle ultrasound study, where the thickness of the abdominal muscles, lumbar multifidus and gluteus medius and minor will be evaluated, and the relationship between ultrasound neuromuscular changes and groin pain will be verified
Interested in participating?
Request Info18 year and older
All sexes
Observational
Madrid, 28054, Spain
The objective of the study is to shed light on the to the complexity of the Diagnosis that Groin Pain (GP) encloses, it is proposed to evaluate with Functional Muscular Ultrasonography Rehabilitative Ultrasound Imaging (RUSI), the layer thickness of the gluteal musculature of the hip and the abdominal and lumbar muscles on a sample of professional dancers over 18 years of age with GP to check if there are differences with professional dancers without GP.
Expected goals:
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The thickness of the musculature to be studied will be measured with ultrasonography
Time frame: Five months
Taking measurements of the layer thickness of abdominal, lumbar and gluteal muscle groups will be performed, with Toshiba's Nemio XG equipment using a multifrequency convex probe from 3 to 6 MGz.
Time frame: Five months
Correlate the HAGOS questionnaire with the thicknesses of layer of the different muscle groups analyzed at rest and in contraction in the group with Groin Pain and in the group without Groin pain.
Time frame: Five months
One-way ANCOVA will used to compare quantitative muscle ultrasound (QMUS) variables in hip with or without groin pain, controlling for effects of clinical covariates Regression models will used to study the relationship between time of evolution (and if necessary, logarithmic transform will applied to this variable to correct the absence of a normal distribution) as independent variable and the QMUS parameters as dependent variables
Universidad de Murcia
Other
Acronym: DancersMUS
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