The Relationship between Trunk Endurance and Functional Tests in Military Students
Bibliographic record
Abstract
Background: This study aimed to investigate the relationship between trunk endurance and functional tests related to lower limb injury in students of Imam Ali (AS) Military University. Methods: For this study, 90 students of the officer university with average age: 20.86 1.56 year, height: 1.78 0.05 meters, weight: 72.76 8.46 kg and BMI: 22.73 2.30 kg/m2 were selected by availability. In this study, Core endurance was assessed with the McGill test set. The Static and dynamic balance were also assessed by stork and Y balance tests, respectively. Single leg hop, triple crossover hop for distance and timed single leg hop tests were used to assess lower limb function. Since the number of subjects was 90, Kolmogorov-Smirnov test was used to assess the normality of data distribution; Due to the normality of data distribution to investigate the relationship between predictor variables and criterion variable, Pearson correlation coefficient method was used with a significance level of 0.05. Results: The results of Pearson statistical test showed that there is a significant relationship between McGill endurance tests and also the total endurance score with static balance (p=0.008), total dynamic balance score (p=0.003), single leg hop test (p=0.001), triple crossover hop for distance test (p=0.005). But the relationship between endurance and timed single leg hop test was not significant (p <0.05). In general, the results of this study showed that there is a relationship between postural stability, muscle endurance and functional tests related to lower limb injury in officer University students. Conclusions: It can be interpreted that the injury-related functional tests such as single leg hop test and triple crossover hop for distance test of the students who can take their body Move forward in a controlled way are better. Moreover, it can be considered that the postural stability of the students with high core muscle endurance is higher. Therefore, it is important to apply exercise programs that enhance postural stability and increase core muscle endurance to improve functional success.
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How this classification was reachedexpand
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".