Age and Disease have a Distinct Influence on Postural Balance of Patients with COPD
Bibliographic record
Abstract
The postural imbalance is an extra-pulmonary condition, associated with chronic obstructive pulmonary disease (COPD). COPD affects older individuals and it is unclear whether balance abnormalities can be described as pathophysiological mechanism or aging. The present study aimed to evaluate the influence of age or disease on postural balance of patients with COPD. Patients with COPD over 50 years old were compared with age- and sex-matched healthy adults, and with sex-matched younger healthy adults (n = 30 in each group). The Modified Sensory Organization Test (mSOT) was performed in four different conditions fixed or sway-referenced surface both either with full or no vision. It was analyzed the center of pressure (CoP) variables: amplitude, velocity, root-mean-square and load asymmetry. Three-way ANOVA and post hoc analysis were performed been represented of age (older or COPD compared with younger healthy adults) or disease influences (COPD compared with older healthy groups). Main results were as follows: The CoP excursion was faster, with higher amplitude and variability progressively from COPD vs. older healthy vs. younger healthy adults (p < 0.05) showing age and disease influences (p < 0.05). Age and disease influences were also observed in the sway-referenced surface in both vision conditions. Impairment in postural balance was found related to aging and disease in patients with COPD older than 50 years.
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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 | 0.000 | 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) | 0.002 | 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".