Physical activity during COVID-19 in people with systemic sclerosis: A Scleroderma Patient-centred Intervention Network COVID-19 Cohort longitudinal study
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Bibliographic record
Abstract
Introduction/Objective: People with systemic sclerosis (SSc) face barriers to physical activity. Few studies have described physical activity in SSc, and none have explored physical activity longitudinally during COVID-19. We evaluated physical activity from April 2020 to March 2022 among people with SSc. Methods: The Scleroderma Patient-centred Intervention Network (SPIN) COVID-19 Cohort was launched in April 2020 and included participants from the ongoing SPIN Cohort plus external enrolees. Participants completed measures bi-weekly through July 2020, then every 4 weeks afterwards (28 assessments). Physical activity was assessed via the self-reported International Physical Activity Questionnaire-Elderly. Analyses included estimated means with 95% confidence intervals for physical activity across assessments. Missing data were imputed for main analyses. Sensitivity analyses included evaluating only participants who completed >90% of items for >21 of 28 possible assessments ('completers') and stratified analyses by sex, age, country and SSc subtype. Results: A total of 800 people with SSc enrolled. Mean age was 55.6 (standard deviation (SD) = 12.6) years. Physical activity significantly decreased from April 2020 to March 2021 (standardized mean difference (SMD) = -0.17, 95% confidence interval (CI) = -0.26 to -0.07) and was stable from March 2021 to March 2022 (SMD = -0.05, 95% CI = -0.15 to 0.05). Results were similar for completers and subgroups. The proportion of participants who met World Health Organization minimum physical activity recommendations of at least 150 min of moderate-to-vigorous activity per week ranged from 63% to 82% across assessments. Conclusion: Physical activity decreased by a relatively small amount, on average, across the pandemic. Most participants met recommended physical activity levels.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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