Health Status Of Leisure Walkers In Kuwait
Bibliographic record
Abstract
Aim: This study is designed to assess health status among pedestrians using different walking paths in several areas around Kuwait during March to June 2005. This cross-sectional research evaluates the prevalence of respiratory complaints and assesses the possible confounding effects that may be associated with distribution of disease. Methods: The adapted method is a self-report questionnaire to extract information about health status using a convenience sampling technique. The selected sample was pedestrians from both genders and all age groups using walking-paths. The data was analyzed by calculating proportions, and odd ratios were estimated using a logistic regression model. Results: The outcome revealed that nearly a quarter of the sample had some kind of respiratory diseases. Females were twice more likely to have food allergy than males. Genetic factors and gender are the main risk determinants that are associated with respiratory diseases, and specifically tobacco smoking is an extra confounder that is related to cases with asthma and bronchitis. Conclusion: This study indicate that a quarter of the sample who use walking paths in Kuwait have some kind of respiratory disease or allergy. Key words: Kuwait, Walking, physical activity, Respiratory diseases, Asthma.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".