Relationship between accelerometer‐based measures of physical activity and the Yale Physical Activity Survey in adults with arthritis
Bibliographic record
Abstract
OBJECTIVE: To evaluate the correlation between the Yale Physical Activity Survey (YPAS) scores and objective accelerometer measures of time spent in light intensity physical activities, moderate to vigorous intensity physical activities, and moderate to vigorous activities in bouts lasting at least 10 minutes. METHODS: This study analyzed baseline data from 171 persons with rheumatoid arthritis (RA) and 139 persons with osteoarthritis (OA) in a randomized clinical trial (Increasing Motivation for Physical Activity in Arthritis Clinical Trial). Persons fulfilling the 1987 American College of Rheumatology criteria for RA and persons with symptomatic radiologic knee OA (Kellgren/Lawrence class ≥2) wore an accelerometer for 7 days, then responded to the YPAS questionnaire and questions regarding demographics (age, sex, and race) and health factors (body mass index, disease status [Health Assessment Questionnaire/Western Ontario and McMaster Universities Osteoarthritis Index], comorbidities, pain, and function). Spearman's correlation coefficients were estimated between each YPAS summary measure and accelerometer measures. RESULTS: In the RA participants, the strongest correlation was between the YPAS activity dimensions summary index (Y-ADSI) and average daily minutes of bouted moderate/vigorous activity (r = 0.51). Additionally, the Y-ADSI correlated significantly with both objectively measured average daily accelerometer counts (r = 0.45) and average daily minutes of moderate/vigorous activity (r = 0.43). For OA participants, a similar pattern emerged: the Y-ADSI had significant correlations with average daily minutes of bouted moderate/vigorous activity (r = 0.36), average daily minutes of moderate/vigorous activity (r = 0.31), and average daily counts (r = 0.24). CONCLUSION: For both the RA and OA groups, the Y-ADSI had the strongest significant correlations with objectively measured physical activity, which supports Y-ADSI use as a tool for clinical applications and in rheumatology research.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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".