Objectives: To determine inter-rater and intra-rater reliability of the Functional Movement Screen (FMS) test among young elite hockey players.
Design: Reliability study.
Setting: Inter-rater reliability was evaluated by two raters in the field. All performances were videotaped. Two other raters evaluated the videos once and then again 6 weeks later to determine intra-rater reliability. A weighted kappa statistic was used to analyze intra-rater and inter-rater reliability of each FMS sub-test, while an intra-class correlation coefficient (ICC) was calculated for the total score.
Participants: Twenty-eight male hockey players aged 13-16.
Main Outcome: FMS total and sub-tests scores.
Results: The video raters demonstrated excellent intra-rater reliability for the total score, with an ICC of 0.96 (95% CI; 0.92-0.98) and 0.96 (95% CI; 0.91-0.98). The field raters achieved excellent inter-rater reliability for the total score, with an ICC of 0.96 (95% CI; 0.92-0.98). Sub-test analysis showed good agreement among all four raters for five of the seven main sub-tests.
Conclusion: FMS is a reliable test for young elite hockey players. Further research should be done to assess the predictive validity of the FMS test within this population so that physiotherapists may eventually use it as an injury prevention tool.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ptsp.2013.10.001 | DOI Listing |
The current study aims to determine how the interactions between practice (distributed/focused) and mental capacity (high/low) in the cloud-computing environment (CCE) affect the development of reproductive health skills and cognitive absorption. The study employed an experimental design, and it included a categorical variable for mental capacity (low/high) and an independent variable with two types of activities (distributed/focused). The research sample consisted of 240 students from the College of Science and College of Applied Medical Sciences at the University of Hail's.
View Article and Find Full Text PDFAfr J Reprod Health
December 2024
Midwifery Department, Faculty and Health Sciences, Karabük University, Turkey.
This study investigated the professional values of midwifery students and the factors influencing these values. Conducted from January 6 to March 6, 2021, it involved 715 midwifery students who participated voluntarily. Data was collected using a Descriptive Data Sheet and the Professional Values of Midwives Scale.
View Article and Find Full Text PDFVet Ital
September 2024
Professor Nidom Foundation, Surabaya, Indonesia.
Brucellosis is a neglected infectious disease caused by animals and is becoming a public health problem in developing countries. There are limited case reports of human brucellosis in Indonesia because the symptoms are not specific. This study investigated the association between serological tests for brucellosis among workers and their knowledge, attitude, and behavior.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA.
Flexible high-deflection strain gauges have been demonstrated to be cost-effective and accessible sensors for capturing human biomechanical deformations. However, the interpretation of these sensors is notably more complex compared to conventional strain gauges, particularly during dynamic motion. In addition to the non-linear viscoelastic behavior of the strain gauge material itself, the dynamic response of the sensors is even more difficult to capture due to spikes in the resistance during strain path changes.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Computer Engineering, Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia.
In the field of muscle fatigue models (MFMs), the prior research has demonstrated success in fitting data in specific contexts, but it falls short in addressing the diverse efforts and rapid changes in exertion typical of soccer matches. This study builds upon the existing model, aiming to enhance its applicability and robustness to dynamic demand shifts. The objective is to encapsulate the complexities of soccer dynamics with a streamlined set of parameters.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!