Barriers and Opportunities for Using Wearable Devices to Increase Physical Activity Among Veterans: Pilot Study
Bibliographic record
Abstract
BACKGROUND: Few studies have examined the use of wearable devices among the veteran population. OBJECTIVE: The objective of this study was to evaluate veterans' perceptions of and experiences with wearable devices and identify the potential barriers and opportunities to using such devices to increase physical activity levels in this population. METHODS: Veterans able to ambulate with or without assistance completed surveys about their mobile technology use and physical activity levels. They were then given the option of using a wearable device to monitor their activity levels. Follow-up telephone interviews were conducted after 2 months. RESULTS: A total of 16 veterans were enrolled in this study, and all of them agreed to take home and use the wearable device to monitor their activity levels. At follow-up, 91% (10/11) veterans were still using the device daily. Veterans identified both opportunities and barriers for incorporating these devices into interventions to increase physical activity. CONCLUSIONS: Veterans engaged in using wearable devices at high rates.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".