Association between self-rated health and physical activity among physician assistants in Ghana: a cross-sectional study
Bibliographic record
Abstract
Background: Self-rated health (SRH) has been a subjective measure of health, yet its association with physical activity (PA) among healthcare workers in sub-Saharan Africa remains underexplored. This study examined the association between SRH and PA [leisure-time physical activity (LTPA) and active transportation (AT)] among Physician Assistants in Ghana. Methods: A cross-sectional study involving 439 licensed Physician Assistants was conducted between October and December 2024 using an online survey. Multivariate logistic regressions modelled the association between SRH and PA, using adjusted odds ratios (aOR) and 95% confidence intervals (CIs) and controlling for sociodemographic, work-related, environmental and psychological factors. Results: Overall, 18.7% of PAs reported poor SRH. Participants in the third quartile of LTPA had the highest odds of good SRH (aOR=3.36, 95% CI: 1.58–7.16), though a plateau effect was observed at higher activity levels. AT to and from work was significantly associated with good SRH (aOR=2.32 and 2.16, respectively). Anxiety, older age, lower income, lower rank and poor environmental conditions were associated with reduced odds of good SRH. The availability of sidewalks showed a strong positive association with good SRH. Gender differences in PA domains were also observed, with males being significantly more active than females. Conclusions: Engagement in moderate LTPA and active commuting is associated with good SRH among Ghanaian Physician Assistants. Interventions to increase physical activity may enhance health outcomes in this vital health workforce. Longitudinal studies are needed to establish causal relationships and inform policy.
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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 | 0.009 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".