Clarifying the relationships between trunk muscle endurance, respiratory muscle strength and static/dynamic postural control in Latin dancers
Bibliographic record
Abstract
Sufficient study has not been performed to clarify the role of trunk/respiratory muscles strength/endurance in providing postural control in dancers. The purpose of this study was to identify predictors affecting static/dynamic postural control in Latin dancers and to compare these measurements with non-dancers. The study included 38 (26F; 12 M) Latin dancers and 33 (21F; 11 M) non-dancers. Static/dynamic postural control, trunk muscle endurance, respiratory muscle strength/pulmonary functions, flexibility, and reaction tests were assessed with a force platform system, the McGill battery, spirometer, sit-and-reach test and Nelson-reaction-tests, respectively. Trunk muscle endurance times, respiratory muscle strength, FEV1/FVC, gender, hours of training per week and dancing experience were significant predictors of static/dynamic postural control in dancers (p < 0.05). All the trunk muscle endurance times, reaction tests results, and maximal inspiratory pressure were higher in the dancers compared to the non-dancers (p < 0.05). The limits of stability for forward and backward directions were higher, and anteroposterior sway in normal stability with eyes open was lower in the dancers compared to the non-dancers (p < 0.05). Trunk muscles endurance, respiratory muscle strength, dancing experience, and hours of training per week were positively associated with static/dynamic postural control. These predictors should be taken into consideration to improve postural control in dancers.
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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 | 0.002 | 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 | 0.001 | 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".