On-Site Evaluation of Smoking, Alcohol consumption and Physical Inactivity Among Commercial Taxi Drivers in Buffalo City Metropolitan Municipality, South Africa
Bibliographic record
Abstract
BACKGROUND: Commercial drivers have been identified as eliciting behaviours that promote non- communicable diseases and road traffic accidents. The aim of the study is to determine the prevalence and pattern of alcohol use, smoking and physical inactivity among commercial taxi drivers in Buffalo City Metropolitan Municipality, South Africa. METHODS: A cross-sectional study was conducted among 403 commercial drivers using the face-to-face interviews method. The WHO STEPwise questionnaire was used to obtain the demographic data, self-reported rate of alcohol consumption, tobacco use and physical inactivity. RESULTS: The participants’ mean age was 43.3 ± 12.5 years. About 30% of the participants were daily smokers, 37% consumed alcohol regularly and only 18% were physically active, whilst 82% were physically inactive. CONCLUSION: The prevalence of alcohol use, smoking and physical inactivity is high among commercial drivers in East London. Workplace health education on the health effects of these lifestyles’ risky behaviours on individuals and the general public should be given to the drivers.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".