Efficacy of a Physical Activity Counseling Program With Use of a Wearable Tracker in People With Inflammatory Arthritis: A Randomized Controlled Trial
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To assess the efficacy of a multifaceted counseling intervention at improving physical activity participation and patient outcomes. METHODS: We recruited people with rheumatoid arthritis (RA) or systemic lupus erythematosus (SLE). In weeks 1-8, the immediate group received education and counseling by a physical therapist, used a Fitbit and a web application to obtain feedback about their physical activity, and received 4 follow-up calls from the physical therapist. The delay group received the same intervention in weeks 10-17. Participants were assessed at baseline and at weeks 9, 18, and 27. The primary outcome was time spent in moderate/vigorous physical activity (MVPA; in bouts of ≥10 minutes) measured with a SenseWear device. Secondary outcomes included step count, time in sedentary behavior, pain, fatigue, mood, self-management capacity, and habitual behaviors. RESULTS: A total of 118 participants enrolled. The adjusted mean difference in MVPA was 9.4 minutes/day (95% confidence interval [95% CI] -0.5, 19.3, P = 0.06). A significant effect was found in pain (-2.45 [95% CI -4.78, -0.13], P = 0.04), and perceived walking habit (0.54 [95% CI 0.08, 0.99], P = 0.02). The remaining secondary outcomes improved, but were not statistically significant. Post hoc analysis revealed a significant effect in MVPA (14.3 minutes/day [95% CI 2.3, 26.3]) and pain (-4.05 [95% CI -6.73, -1.36]) in participants with RA, but not in those with SLE. CONCLUSION: Counseling by a physical therapist has the potential to improve physical activity in people with inflammatory arthritis, but further study is needed to understand the intervention effect on different diseases. We found a significant improvement in pain, suggesting that the intervention might have a positive effect on symptom management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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 | 0.001 |
| 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 it