The prevalence of physical activity among the young population of UAE: a meta-analysis
Bibliographic record
Abstract
AIMS: Lack of physical activities is a key disease factor and constitutes a serious public health issue in the Middle East region. Reports from this geographical area converge in concluding that the resident populations do not get enough exercise to keep themselves healthy. The objective of this systematic review is to obtain accurate data on the prevalence of physical activity (PA) and levels of PA among the young residents of the United Arab Emirates (UAE). METHODS: Five prospective studies met the inclusion criteria with 12,988 subjects (including 12,782 adolescents). RESULTS: Meta-analytical results showed that (1) almost a quarter of the young population have a total sedentary lifestyle with no PA, (2) less than half have been mildly involved in physical activities, (3) around a fifth practised a moderate level of PA, and (4) a quarter were involved in a vigorous PA. Additionally, mild PA was more common in female adolescents, whereas moderate and high PA were significantly higher in male adolescents. CONCLUSION: Such alarming rates of exercise involvement among the young UAE residents should stimulate policymakers and college/university administrations to plan and promote PA in order to reduce future levels of chronic diseases.
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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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.025 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".