Evidence to support a food-based dietary guideline on sugar consumption in South Africa
Bibliographic record
Abstract
BACKGROUND: To review studies undertaken in South Africa (SA) which included sugar intake associated with dental caries, non-communicable diseases, diabetes, obesity and/or micronutrient dilution, since the food-based dietary guideline: "Use foods and drinks that contain sugar sparingly and not between meals" was promulgated by the Department of Health (DOH) in 2002. METHODS: Three databases (PubMed, Cochrane Library, and ScienceDirect), and SA Journal of Clinical Nutrition (SAJCN), DOH and SA Medical Research Council (SAMRC) websites were searched for SA studies on sugar intake published between 2000 and January 2012. Studies were included in the review if they evaluated the following: sugar intake and dental caries; sugar intake and non-communicable diseases; sugar and diabetes; sugar and obesity and/or sugar and micronutrient dilution. RESULTS: The initial search led to 12 articles in PubMed, 0 in Cochrane, 35 in ScienceDirect, 5 in the SAJCN and 3 reports from DOH/SAMRC. However, after reading the abstracts only 7 articles from PubMed, 4 from SAJCN and 3 reports were retained for use as being relevant to the current review. Hand searching of reference lists of SAJCN articles produced two more articles. Intake of sugar appears to be increasing steadily across the South African (SA) population. Children typically consume about 50 g per day, rising to as much as 100 g per day in adolescents. This represents about 10% of dietary energy, possibly as much as 20%. It has been firmly established that sugar plays a major role in development of dental caries. Furthermore, a few studies have shown that sugar has a diluting effect on the micronutrient content of the diet which lowers the intake of micronutrients. Data from numerous systematic reviews have shown that dietary sugar increases the risk for development of both obesity and type 2 diabetes. Risk for development of these conditions appears to be especially strong when sugar is consumed as sugar-sweetened beverages. CONCLUSION: Based on the evidence provided the current DOH food-based dietary guideline on sugar intake should remain as is.
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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 | 0.018 | 0.106 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".