Results from Nigeria’s 2013 Report Card on Physical Activity for Children and Youth
Bibliographic record
Abstract
BACKGROUND: Physical activity (PA) promotion in children and youth is an impetus for prevention and control of NCD morbidity and mortality, but evidence is needed for effective interventions. The aim of the present paper is to summarize the results of the 2013 Nigerian Report Card on Physical Activity for children and youth. METHODS: The Technical Report Committee conducted a comprehensive review of available literature in Nigeria. Grades were assigned to 10 PA indicators modeled after the Active Healthy Kids Canada (AHKC) grading system. RESULTS: Specific grades were assigned for several indicators: Overall Physical Activity Levels, C; Organized Sport and Physical Activity Participation, Incomplete; Active Play and Leisure, C-; Active Transportation, B; Sedentary Behaviors, F; Overweight and Obesity, B+. The following indicators were graded as INCOMPLETE: Physical Activity in School setting, Family and Peers, Community and Built Environment, and Government Strategies and Investments. CONCLUSIONS: PA levels of Nigerian children and youth are moderate while sedentary behaviors are high. The development of national guidelines for PA and sedentary behaviors can better inform policy and practice on healthy living among Nigerian children and youth.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".