Using Shared Treadmill Workstations to Reduce Sedentary Behavior and its Impact on Health Outcomes
Bibliographic record
Abstract
PURPOSE: To test if shared treadmill workstations among office workers reduces sedentary time and achieves health outcomes. METHODS: Twenty-two employees from a local call centre were recruited for this study in Winnipeg Canada from September to December 2013. Participants were asked to walk two hours per shift on a shared treadmill workstation for a period of three months. Physical activity level, health related measures, treadmill usage information, and questions regarding participants’ expectation and experiences were collected. RESULTS: Sedentary time during work days was reduced by 20.1% (p=.007) while exercise level did not changed. Systolic blood pressure, diastolic blood pressure, and sleep quality scores were significantly improved (P<.05). After three months, participants were 70% confident that they would use treadmill workstations five shifts per week. CONCLUSIONS: This study is the first to show that sharing treadmill workstations is feasible and can provide health benefits at a reasonable investment for employers.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".