Adult Level of Physical Activity in Urban (Abobo, Cocody) and Rural (Yocoboué) Area in Côte d'Ivoire
Bibliographic record
Abstract
The physical activity (PA) plays an important role in the fight against the chronic noncommunicable diseases.The objective of this study was to assess the level of physical activity in an adult population in rural and urban area in Côte d'Ivoire. To achieve this goal, a group of 1046 participants was submitted to the Global Physical Activity Questionnaire (GPAQ). The data analysis was done according to the GPAQ guidelines. The prevalence of the recommended level of the physical activity during the work, the leisure and the displacement was calculated.This assessment has showed that the intense Physical Activity (PA) decreased with age, from 34% (19-29 years) to 14% (50-60 years).Then the results have showed that the workers had the highest intensity Physical Activity Level (NAP) at 70%, versus 13% for the office workers.Moreover, more the Level of Study (LS) was higher, more the physical activity practiced decreased, whatever the area of living. Finally, it has been shown that men were more active than women. Also, the level of physical activity was higher in rural than in urban areas, and the limited physical activity level was present in the adult population. This work has shown that the level of physical activity and the contexts of practice vary according to the socio-demographic characteristics. At that fact, targeted interventions to promote the physical activity are necessary.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".