Salt intake and its sources in children, adolescents and adults in the Islamic Republic of Iran
Bibliographic record
Abstract
BACKGROUND: There is little evidence about salt intake and its food sources in the Iranian population, especially in children and adolescents. AIMS: To investigate salt intake and dietary sources in Isfahan, Islamic Republic of Iran. METHODS: This was a cross-sectional survey conducted in 2014-2015. We randomly selected 1384 adults (50.3% female, 49.7% male) aged > 18 years [mean 37.9 (10.6) years], and 786 children and adolescents (50.9% male, 49.1% female) aged 6-18 years [mean 12.5 (3.4) years]. All participants underwent a dietary assessment for salt intake, using a validated food frequency questionnaire. RESULTS: The total salt intake was 10.9 (3.4) g/day in adults and 10.3 (2.9) g/day in children and adolescents. Added salt was the primary source of salt intake, followed by bread and cheese in both groups. Salt intake was related significantly to being younger, male, a smoker, less educated and physically active in the adult group. In children and adolescents, it was significantly associated with increasing age, male sex, low physical activity and parents' education level (all P < 0.05). CONCLUSIONS: Salt intake in Isfahan was more than twice that recommended by the World Health Organization. The main source of sodium was added salt, followed bread and cheese. Future national studies are warranted to assess the dietary salt intake and its main sources in different provinces in the Islamic Republic of Iran.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".