Stand When You Can: development and pilot testing of an intervention to reduce sedentary time in assisted living
Bibliographic record
Abstract
BACKGROUND: Prolonged daily sedentary time is associated with increased risk of cardiometabolic diseases, impaired physical function, and mortality. Older adults are more sedentary than any other age group and those in assisted living residences accumulate more sedentary time as they often have little need to engage in light-intensity or standing activities such as cleaning or meal preparation. This "low movement" environment can hasten functional decline. Thus, the purpose of this study was to develop a multi-level intervention to reduce and interrupt sedentary time within assisted living residences and conduct a pilot study to determine if the intervention is feasible and if further testing is warranted. METHODS: "Stand When You Can" (SWYC) was developed using a Social Ecological framework based on a review of literature and consultation with residents and staff at assisted living residences. After development, a six-week pilot study was conducted in two different residences with 10 older adults (82.2 ± 8.7 years). Before and after the 6 weeks, ActivPAL™ inclinometers were used to measure daily movement behaviours and self-report questionnaires assessed time spent in different sedentary behaviours and quality of life. Physical function was assessed using the Short Physical Performance Battery. Paired sample t-tests examined pre-post differences for pooled data and individual sites. At the end of the pilot study, feedback on the intervention was gathered from both residents and staff to examine feasibility. RESULTS: There was a trend towards a decrease in self-reported sitting time (142 min/day; p = 0.09), although device-measured sedentary time did not change significantly. Participants with lower physical function at baseline showed clinically meaningful improvements in physical function after the 6 weeks (p = 0.04, Cohen's d = 0.89). There was no change in quality of life. Residents and staff reported that the intervention strategies were acceptable and practical. CONCLUSION: This study suggests that a multi-level intervention for reducing prolonged sedentary time is feasible for implementation at assisted living residences. The intervention could potentially help delay functional decline among older adults when they transition to a supportive living environment. Longer and larger trials to test the efficacy of SWYC are necessary. TRIAL REGISTRATION: Name of Clinical Trial Registry: clinicaltrials.gov Trial Registration number: NCT04458896 . Date of registration: July 8, 2020. (Retrospectively registered).
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".