Adherence to ‘5-2-1-0’ guidelines and multiple risky behaviours among adolescents in nine sub-Saharan African countries: evidence from Global School-based Student Health Survey 2012–2017
Bibliographic record
Abstract
Objective: Overweight and obesity constitute a new challenge in low-income and middle-countries. The obesity prevention programme, called '5-2-1-0', promotes healthy eating habits, physical activity and limited screen time among young people.This study aimed to assess adherence to the '5-2-1-0' recommendations and to study multiple risky behaviours among adolescents in nine countries in sub-Saharan Africa. Methods: Meta-analyses with a random effect were used to calculate overall prevalence. Non-random patterns of the co-occurrence of the four risky behaviours were explored using observed/expected prevalence ratios. Data came from the Global School-based Health Survey and 18 314 adolescents were considered. Results: Among the participants, 12.7% (95% CI 7.5% to 19.0%) had overweight and 3.2% (95% CI 1.1% to 6.1%) had obesity. In almost all countries studied, girls were more affected by overweight and obesity than boys.While only 0.2% (95% CI 0.1% to 0.4%) of the adolescents fully complied with the recommendations, 4.8% (95% CI 3.1% to 6.9%), 28.4% (95% CI 22.4% to 34.8%), 43.8% (95% CI 41.9% to 45.8%) and 17.0% (95% CI 11.8% to 23.0%), respectively, combined 1, 2, 3 and 4 risky behaviours among the four '5-2-1-0' criteria. The most observed combination was found for co-occurrence of three risky behaviours: insufficient fruit/vegetables consumption, physical activity and non-zero consumption of sugar-sweetened beverages. Conclusion: In conclusion, the insufficient adherence to '5-2-1-0' recommendations and the high prevalence of the co-occurrence of risky behaviours underscore the need to strengthen health interventions and programmes to prevent obesity among adolescents in sub-Saharan Africa.
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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 | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".