THE IMPACT OF THE FIFA 11+ ON THE STRUCTURE OF SELECT TRUNK AND LOWER EXTREMITY MUSCLES IN ADOLESCENT FEMALE FOOTBALLERS
Bibliographic record
Abstract
Background The FIFA 11+ is an injury prevention program found to reduce lower-extremity injury risk; however, the mechanisms behind this protective effect are not well understood. One possible explanation is the program addresses trunk and lower-extremity muscle deficits. Objective To determine the impact of FIFA 11+ exposure on the structure of select muscles in adolescent female footballers. Setting Sport Medicine Clinic. Design Sub-study embedded within a cluster-randomized controlled trail (RCT). Participants 23 female footballers (14–16 years) recruited from three teams that participated in a FIFA11+ implementation strategies RCT. Intervention: Participants were recruited from teams randomly assigned to one of two FIFA 11+ delivery groups; coach with unsupervised website access (control; n=11) or, coach with pre-season FIFA 11+ workshop and on-field physiotherapist supervision (comprehensive; n=12). Main outcome measurements Pre-post season bilateral sonographic measures of: resting Rectus Abdominis (RA), External/Internal Oblique, Transversus Abdominis, Lumbar Multifidus (MF), Gluteus Medius/Minimus (GMd/GMn), and Vastus Mediallis (VM) thickness; VM width and inter-recti distance (IRD); change in abdominal parameters during an Active Straight Leg Raise (ASLR) and gluteals during hip abduction. Mean (95% CI) pre-post season changes in sonographic parameters were calculated and group means compared with paired t-tests (=0.05). Results No differences in 95% CIs existed for pre-post season change in sonographic parameters between participants with low (mean=149±9 exercises/year) and high (mean=314±15 exercises/year) FIFA 11+ exposure. Both groups exhibited significant within-group IRD decreases at rest (low t=8.20, P<.001; high t=5.90, P<.001) and with the ASLR (low t=5.66, P<.001; high t=5.04, P<.001). Further, the lower exposure group demonstrated decreased ASLR percent RA thickness change (t=3.19, P=.01) while the high exposure group exhibited increased resting MF thickness (t=2.26, P=.04). Conclusions Different levels of FIFA 11+ exposure in this investigation were not associated with differential changes in the structure of the muscles investigated. Protective mechanisms underlying the FIFA11+ may be associated with alterations in neuromuscular control resulting in IRD and MF adaptations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".