Health Benefits of Substituting Added Sugars with Fruits in Developing Value-Added Food Products: A Review
Bibliographic record
Abstract
Increased intake of added sugar is associated with nutrient deficiencies and higher risk of several non-communicable diseases such as obesity, type 2 diabetes, heart diseases, dental caries, and certain type of cancers. The current consumption of added sugar is much higher than the dietary recommendations in many parts of the world. To minimize the intake of added sugar, and enjoy the delicious sweet taste, the natural sugars from fruits can provide an excellent transition to replace white sugar in everyday diet. Fruits, in its various forms, have the potential to blend with ingredients of many food products and add sweet taste along with several healthy bioactive compounds. This article provides the health consequences of increased intake of added sugars and the health benefits of fruit-based value-added products. The scope of using fruit extracts, concentrates, dried fruits, and fruit powders in the preparation of various food products to replace the added sugar has been discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".