O-33 Futsal and injuries among recreational sport participants: a prospective field study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<h3>Background</h3> Recently, there is an increasing interest in examining sports injuries among participants of recreational sports. However little data is available about injury rate in Futsal as a popular recreation Worldwide.<sup>1–4</sup> <h3>Objective</h3> The purpose of this study was to analyseanalyze the incidence and characteristics of injuries recorded in a large recreational centre over a 1-year period. <h3>Methods</h3> In a prospective design, all injuries in a total of 88 matches of recreational Futsal in 2014–2015 were recorded. A standard questionnaire on injury characteristics was filled for each injured player. Injury rate was calculated as the total number of injuries divided by total player-time (/hour-player). The average time of each match was 90 minutes in duration. Continuous variables were presented in mean (SD) and countable ones were summarised as numbers (percentage). <h3>Results</h3> A total of 14 injuries (in 13 individuals) were reported in 1185 player records during 88 matches. The injury rate was estimated 1 in 12500 hour-player. Mean and SD of the age and BMI of injured players were 30.38 (9.1) and 25.09 (4.3) respectively. In total of 13 players, 5 (38.5%) were left leg dominant. On site of injury, 4 (28.6%) of injuries were in upper extremity, 9 (64.3%) in lower extremity and 1 (7.1%) in chest wall. About the type of injury, 5 (35.7%) were abrasion or contusion and the rest were more serious injuries including dislocation, fracture, ligament tearing, sprains and strain. Further analysis showed that 10 (71.4%) did not have a history of previous injury at the same site. To address the mechanisms of injury, 12 (85.7%) of injuries were traumatic while the others were overuse injuries; also 7 (53.8%) were due to player-player and 3 (23.1%) were due to player-ground contact. Finally overall missed playing days due to injury was 16 (17.02) days among injured participants. <h3>Conclusion</h3> Findings showed that injuries were not uncommon among Futsal recreational sport participants. Expectedly the lower extremity was the most likely site of injury followed by upper extremity and trunk. Unfortunately these injuries may be usually grave in nature. Furthermore, most of recreational sport injuries were related to traumatic contacts with opponent players. Finally our data indicated that recreational sport injuries could lead to missing opportunities for participation in recreational activities. <h3>Acknowledgment</h3> This study was funded and supported by Tehran University of Medical Sciences & health Services grant [Grant No. 88-03-53-9298]. <h3>References</h3> Finch C, Cassell E. The public health impact of injury during sport and active recreation. <i>Journal of Science and Medicine in Sport</i> 2006;<b>9</b>:490–497. Grimmer KA, Jones D, Williams J. Prevalence of adolescent injury from recreational exercise: an Australian perspective. <i>Journal of adolescent health</i> 2000;<b>27</b>:266–272. Mummery W, Schofield G, Spence J. The epidemiology of medically attended sport and recreational injuries in Queensland. <i>Journal of Science and Medicine in Sport</i> 2002;<b>5</b>:307–320. Mummery WK, Spence JC, Vincenten JA, <i>et al</i>. A descriptive epidemiology of sport and recreation injuries in a population-based sample: results from the Alberta Sport and Recreation Injury Survey (ASRIS). <i>Canadian journal of public health= Revue canadienne de sante publique</i> 1997;<b>89</b>:53–56.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.001 | 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 it