A Study of Salt Content of Different Bread Types Marketed in Amman, Jordan
Bibliographic record
Abstract
Noncommunicable diseases, including cardiovascular diseases are the leading cause of premature death in the 21st century. Dietary factors such as high salt intake constitute the main risk factors. Bread is considered as one of the most important sources of dietary salt. The objectives of this study were to determine the sodium content of the main types of bread that are marketed in Amman, and to evaluate the bakers’ adherence to the Jordanian specifications. Sixty eight bread samples of seven types of bread were collected from 13 different bakeries distributed in Amman. Bread samples were dried, ashed and the sodium content was directly determined by using flame photometry method. The average salt content of the analyzed bread samples was 1.19±0.21 g salt/100 g of fresh bread, ranging between 0.42 g/100 g for white Arabic bread and 2.06±0.19 for shrak bread. Approximately half of bread samples have met the Jordanian specifications. It is concluded that salt content of bread varies widely in Jordan and that bread types such as shrak and mashrouh breads contain high amount of salt. The Jordanian specification of the salt content of bread should be applied to all breed types. Also, it should be reduced gradually to a lower limit.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".