Correlation of Body Parameters and Age with Foot Arch Index and Stabilometric Variables in Physically Active Young Males and Females
Bibliographic record
Abstract
Postural stability is influenced by several anthropometric factors as well as age. The aim of this study was to investigate the relationship between body height, body mass, BMI, and arch index with stabilometric parameters in physically active young adults. A total of 169 sport science university students participated in the study. Their arch index and their stabilometric parameters were measured using the P-Walk BTS platform. Spearman’s rank correlations showed a significant positive correlation between body mass and arch index (r = 0.25, p = 0.001), and BMI and arch index (r = 0.30, p < 0.001). Also, negative correlations were observed between body height and CoP speed (r = −0.22, p = 0.004) and CoP distance (r = −0.23, p = 0.003), as well as body weight and CoP speed (r = −0.17, p = 0.028) and CoP distance (r = −0.19, p = 0.015). Age was negatively correlated to postural sway variables (i.e., CoP distance, CoP area, and CoP speed). The findings suggest that, in physically active people, larger anthropometric values may confer stabilizing advantages, potentially due to increased body volume. Also, the significant correlation of age to stability metrics may highlight enhanced proprioceptive integration or adaptive neural mechanisms. The results highlight the importance of individualised proprioceptive training programmes, particularly for athletes of lower body mass or stature. Future research should extend on the results’ potential training and rehabilitative implications.
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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 | 0.000 |
| 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) | 0.000 | 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".