We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Evaluation of the Psychometric Properties of the Musculoskeletal Health Questionnaire (MSK-HQ) in a Population of Professional Basketball Players: A Cross-Sectional Study.
- Authors
Galeoto, Giovanni; Viglianisi, Kennet Matteo; Berardi, Anna; Sellitto, Giovanni; Ruotolo, Ilaria; Simeon, Rachele; Carlizza, Alessandra
- Abstract
Background and Objective: Musculoskeletal disorders affect a large portion of the population worldwide. The musculoskeletal health questionnaire is a helpful tool for assessing the health state of patients with these disorders. The primary goal of this study is to evaluate the psychometric properties of the MSK_HQ-IT in a population of professional basketball players. The secondary aim is to assess the prevalence of musculoskeletal disorders. Material and Methods: The study was performed from September to October 2022. The questionnaire was completed using an online or paper form, to which personal data were collected. Data were collected by submitting a translated version of the musculoskeletal health questionnaire directly to professional athletes. Results: A total of 63 basketball players were recruited. Regarding functional limitations, the body parts mentioned by the sample were the left ankle (23.8%) and the right ankle (17.5%), followed by the lumbar column and right hip (15.9%). Regarding pain, the data are more homogeneous, with a distribution in line with functional limitations. A peak of pain was perceived in the left foot, with a mean score of 4. Cronbach's alpha showed a value of 0.85. Conclusions: The musculoskeletal health questionnaire shows promising results in evaluating the health state of a population of professional athletes. Further studies are needed to enlarge the sample and possibly open it to more categories of professional sports.
- Subjects
PSYCHOMETRICS; BASKETBALL players; PROFESSIONAL athletes; BASKETBALL player recruiting; CRONBACH'S alpha; CROSS-sectional method
- Publication
Medicina (1010660X), 2024, Vol 60, Issue 4, p664
- ISSN
1010-660X
- Publication type
Article
- DOI
10.3390/medicina60040664