Correlations Between Physiological and Self-Report Measures of Daily Physical Activity Time and Intensity in Adults With Spinal Cord Injury
Bibliographic record
Abstract
Spinal cord injury (SCI) can alter physiological responses to acute physical activity (PA), which may influence perceptions and reporting of PA intensity. We examined correlations between physiological and perceptual self-report measures of daily PA in individuals with SCI. Participants completed an assessment of peak aerobic-exercise capacity to determine individualized mild-, moderate-, and vigorous-intensity PA oxygen-uptake (V˙O2) cut points, wore a portable system that measured V˙O2, and completed the Physical Activity Recall Assessment for people with SCI. Time engaged in combined moderate to vigorous PA recorded by portable monitoring and self-report were significantly correlated (r = .659, p = .027). There were no associations between metabolic monitoring and equivalent self-report outcomes within individual PA-intensity levels. These findings highlight challenges people with SCI may have differentiating the intensity of PA, which may be related to the way self-report measures describe sensations associated with each intensity. Whether these findings are specific to SCI-related psychophysiology remains unclear.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".