Decreased frequency of sugar-sweetened beverages intake among young children following the implementation of the health promotion levy in South Africa
Bibliographic record
Abstract
OBJECTIVE: This study assessed the association between baseline sociodemographic variables, body composition and 4-year changes in the intake of food groups, including sugar-sweetened beverages (SSB) among children, after the implementation of the health promotion levy. DESIGN: Prospective cohort study. SETTING: Ten schools in North West Province, South Africa. PARTICIPANTS: 950 children aged 5-9 years at baseline and data of 672 children at follow-up. The frequency of intake from healthy and unhealthy food groups was assessed by questionnaire. Anthropometric and sociodemographic information were collected; BMI-for-age z-scores were calculated. The health promotion levy was implemented after baseline and follow-up measurements were done after 4 years. A random intercept generalised linear mixed model analysis was applied to investigate the time effect of the weekly intake of the foods adjusting for BMI-for-age z-scores and sociodemographic characteristics of the children. RESULTS: The weekly frequency of intake from most food groups remained unchanged at follow-up. The frequency of SSB intake decreased significantly over 4 years. Decreased intake of SSB was not linked to increased intake of healthy foods. Changes in intakes from SSB were not associated with household income, parental education or BMI-for-age z-score categories. A decreased frequency of intake from SSB was observed following the implementation of the health promotion levy after baseline, in line with reports of national decreases in SSB sales in South Africa since 2017. CONCLUSIONS: The decreased frequency of SSB intakes following the implementation of the health promotion levy in South Africa may indicate that health policies can promote healthier dietary habits.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".