ASSESSMENT OF CORE MUSCLE ENDURANCE IN ASYMPTOMATIC COLLEGE STUDENTS WITH POSTERIOR CHAIN TIGHTNESS
Bibliographic record
Abstract
Background: College students have seen to adapt a flexed posture combining sitting and bending while studying for long hours in a static posture, attending lectures, and commuting to college through public transport on a daily basis. The demanding academic activities in the curriculum of college students which includes physiotherapy students as well make them more susceptible to various musculoskeletal injuries. This may affect the relationship between posterior chain flexibility and core endurance. Methods: Total 107 asymptomatic physiotherapy students aged between 19-22 years participated and were screened for posterior chain tightness using the Toe Touch Test, a reliable measure of combined trunk–hip flexion. Core endurance was evaluated using the McGill Core Endurance Test, which assesses anterior, lateral, and posterior trunk musculature through four standardized isometric holds. Flexibility and endurance outcomes were analysed to determine their potential association. Results: The study results showed that participants with posterior chain tightness had reduced core endurance across specific components of the McGill test, suggesting a link between limitations in mobility of posterior chain and reduced ability of core musculature to sustain prolonged static effort. Conclusion: The observed clinical findings support the collaborative effort of flexibility and core-strengthening training strategies into preventive health programs within physiotherapy curriculum. This study enables a sense of awareness, precautionary and protective measures that should be taken in order to minimize the musculoskeletal risks and improve functional performance in physiotherapy students preparing for future professional practise.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".