The ENCOURAGEing workplaces project: the addition of a fitness based health risk assessment to a physical activity counseling intervention
Bibliographic record
Abstract
There has been a large growth in workplace wellness initiatives; however, use of fitness based health risk assessments (fHRAs) remains largely unexplored. I hypothesized that adding an fHRA to a physical activity counseling intervention (PAC+HRA) would greater increase physical activity levels compared to physical activity counseling alone (PAC). A 4 month, two- group quasi-experimental design was used to test this hypothesis. Over time, there was an increase in total, moderate to vigorous, and moderate physical activity ≥10-minute bouts. Self-Efficacy for Exercise increased and symptoms of depression decreased. Subgroup analysis of the PAC+HRA group found a significant improvement in overall fitness levels. Participants progressed to more advanced stages of change. In conclusion, PAC+HRA did not increase physical activity levels more than PAC. This is likely due to the characteristics of the counseling, fHRA, and outcome measurements.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".