Canonical Correlations Between Body Posture Variables and Postural Stability in Children with Scoliosis and Scoliotic Posture
Bibliographic record
Abstract
Background: The aim of the study was to analyse the correlation between body posture variables and postural stability in children with scoliosis and scoliotic posture.Methods: Spinal examination photogrammetry used the photometric Moiré method. Based on the angle size of the of spinal curvature, scoliotic posture was determined: 1-9°, and scoliosis: ≥10°. Postural reactions were tested using the Tecnobody ST 310 Plus Stability System platform. Children attended therapy at the Inter-school Centre of Corrective and Compensatory Gymnastics in Starachowice The study was conducted in June 2011. There were 21 children with scoliotic posture (7%) and 7 with scoliosis (25%). Results: In the canonical analysis of body posture variables, the highest share comprised of: trunk inclination angle, alpha angle, chest kyphosis angle, length of lumbar lordosis, length of lumbar lordosis/total spine length, shoulder asymmetry – right higher, shoulder asymmetry – left higher, absolute of pelvis tilt angle, coefficient of shoulder asymmetry relative to C7, primary curvature angle, length of secondary curvature/total spine length, depth of secondary curvature/total spine length. Significance: High values of canonical correlation coefficients, despite lack of significance, indicate the possibility of strong a correlation between body postural variables and postural stability that can be demonstrated with a greater sample size.
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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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".