Pedometer-determined physical activity profile of healthcare professionals in a Nigerian tertiary hospital
Bibliographic record
Abstract
BACKGROUND: Healthcare professionals (HCPs) are perceived as statutory advocates for healthy living and promotion of healthy behaviors such as regular participation in physical activity (PA). This study assessed and compared pedometer-determined PA of different urban HCPs in a Nigerian tertiary hospital. MATERIALS AND METHODS: A cross-sectional study involving 180 HCPs from a tertiary hospital in Lagos, Nigeria. PA was measured by daily walking steps using a pedometer. RESULTS: The mean step count obtained was 7,396.94 ± 2,714.63 steps/day. Only 20% of the HCPs met a minimum PA of 10,000 steps/day. About one-third (34.4%) of the HCPs were low active and less than a quarter (23.9%) were somewhat active. Further, less than half (43.9%) of the HCPs were found to have PA levels ≥7,500 steps/day. Overall, nurses had the highest step counts (7,980 steps/day) followed by physiotherapists (7,332 steps/day), while pharmacists had the lowest step counts (6,201 steps/day). There was however no significant difference in the mean step counts of the various cadres of the HCPs (P > 0.05). Step counts of HCPs were found to significantly negatively correlate with their age (r = -0.53; P < 0.001), body mass index (r = -0.39; P < 0.001), and body fat percentage (r = -0.42; P < 0.001). CONCLUSION: PA profile of the HCPs was mostly characterized by a low active PA level and less than a quarter met the recommended minimum of 10,000 steps/day.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".