A field-based screening protocol for hamstring injury risk in football players: evaluating its functionality using exploratory factor analysis
This paper propose a practical field-based screening protocol for evaluating the risk of hamstring injury. This is done by discerning the most important factors that better explain the underlying structure among various measurements. Following a cross-sectional study design, ninety-nine professional and semi-professional football players were assessed at the team`s facilities during the preseason period. The collected data included aspects of demographic characteristics; previous injuries; athlete sense of burnout (Athlete Burnout Questionnaire (ABQ)); hamstring (HS) flexibility (passive single leg raise test); isometric hamstring strength (make and brake test); isometric quadriceps strength; single-leg triple hop for distance; endurance of the core muscles (prone bridge, side bridge and Biering-Sørensen tests); and hamstring strength endurance (single leg hamstring bridge test). Subsequently, Exploratory Factor Analysis was performed. Following a summarized dimension reduction process, the twenty-three assessment variables were grouped into a parsimonious model of six main risk factors. Specifically, the resulting model explains 55.7% of the total variance, comprising HS and core endurance (20.2% of the variance), HS strength (12.8%), previous injuries (8.9%), ABQ (5.8%), lower limb strength (4.1%), and strength limb symmetry (3.8%). The proposed model provides a practical protocol, facilitating sports scientists in evaluating the risk for HI in the highly complex reality of field-based situations.
© Copyright 2025 Sports. MDPI. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | biological and medical sciences sport games |
| Tagging: | Screening |
| Published in: | Sports |
| Language: | English |
| Published: |
2025
|
| Online Access: | https://doi.org/10.3390/sports13090295 |
| Volume: | 13 |
| Issue: | 9 |
| Pages: | 295 |
| Document types: | article |
| Level: | advanced |