Wearable device for sedentary behavior change in chronic obstructive pulmonary disease is feasible and acceptable
Bibliographic record
Abstract
RATIONALE: Individuals with chronic obstructive pulmonary disease (COPD) exhibit reduced physical activity (PA) and increased sedentary behavior (SB), both of which are independent predictors of mortality. Wearable technology providing vibration movement prompts may be effective in decreasing SB. This study aimed to assess the feasibility and perceptions of a vibration based FitBit™ SB change strategy in individuals with COPD.METHODS Individuals with stable COPD wore a FitBit™ with movement prompts enabled and disabled for one week each (order randomized). Feasibility and perceptions of the wearable device were assessed in each condition. A validated activity monitor (ActivPAL4™) was used to measure PA and SB.MAIN RESULTS: Of the 28 participants connected with, 19 (68%) expressed interest. A total of 18 of the 19 (95%) interested were eligible to participate, and 15 of 28 (54%) enrolled. All 15 participants completed the study with no dropouts. Nine (64%) participants identified the device as affordable. Perceptions toward the devices were generally positive or agreeable and were unaffected by the device condition (with or without prompts; P > 0.05). Responses to additional open-ended questions revealed that participants thought the device was helpful for breaking up sitting time, the timing of vibration reminders was perceived as confusing by some, and accessibility of the devices and individual preferences are important considerations.CONCLUSIONS The wearable device SB reduction strategy was feasible and participants had positive perceptions toward using it. Individualization and accessibility of device are important considerations.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".