Determinants and Benefits of Physical Activity Maintenance in Hospital Employees
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study investigated whether the positive behavioral and anthropometric outcomes of a pedometer-based physical activity 8-week challenge were maintained 6 months after the end of the program. It further investigated the motivational profile of those who maintained their physical activity levels in the months following the end of the program and of those who did not. Hospital employees from a university-affiliated multisite health care center in Canada participated using a questionnaire. Of the 235 participants who completed the 8-week challenge, 157 questionnaires were returned 6 months later. Paired-samples t tests were conducted between the baseline and follow-up scores as well as between the postprogram and follow-up scores to detect significant differences between the measurement points. This study shows that the pedometer-based physical activity helped hospital employees maintain a high level of physical activity as well as maintain a healthy body mass index after 6 months. The results demonstrated that during maintenance the high physical activity group obtained higher scores for identified regulation and intrinsic regulation compared with the other groups. The results of the study revealed that identified and intrinsic regulations are important contributors to maintaining physical activity among hospital employees.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it