Results from the Lebanese 2022 report card on physical activity for children and youth
Bibliographic record
Abstract
Objective: The Lebanese Active Healthy Kids Work Group (LAHKWG) synthesized literature published on physical activity (PA) indicators among ages 5- to 17- year-olds, using a recommended harmonized process by the Active Healthy Kids Global Alliance (AHKGA), to explore Lebanon's performance since its previous report card publication. Methods: Peer reviewed literature, national surveys, and gray literature published since 2017, on 10 common AHKGA and two LAHKWG recommended indicators were examined. Common indicators included overall PA, organized sport and PA, active play, active transportation, community and environment, sedentary behaviors, physical fitness, family and peers, school, and government. LAHKWG recommended indicators were sleep and weight status. LAHKWG members reviewed 764 records, of which 28 were selected for full review. A grade was assigned for each indicator using AHKGA's grading rubric and established benchmarks on data from nationally representative samples for children and youth. Results: Data from one nationally representative sample were available for ages 13-17 years (i.e., no data <13 years). Five indicators received "Incomplete" (organized sport and PA; active Play; physical fitness; family and peers; community and environment); overall PA received a D-; active transportation and sleep received a D+; school and government received a D; sedentary behaviors received a C; and weight status received a B-. Conclusion: The LAHKWG strongly encourages stakeholders to take concrete actions towards prioritizing PA promotion at a national level especially in the education sector. Offering more quality PA opportunities for Lebanese children and youth will be beneficial for their physical and mental health in any context.
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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 | 0.017 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.013 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".