Prevalence of Breakfast Skippers among Tunisian Preschool and School Children and Association with Weight Status: A Cross-Sectional Study
Bibliographic record
Abstract
Breakfast is considered the most important meal of the day. This study aimed to assess breakfast frequency and quality in Tunisian children and to determine the relationship between breakfast skipping and the weight status of the children. A total of 1200 preschool and school children aged 3 to 9 years were randomly selected under a cross-sectional design. Breakfast habits and socio-economic characteristics were collected using a questionnaire. Participants who consumed breakfast less than five times the previous week were categorized as breakfast skippers. The other breakfast consumers were considered as non-skippers. The overall prevalence of breakfast skipping in Tunisian children was 8.3% and 83% of them consumed breakfast all the weekdays. At least two out of three children had a poor breakfast quality. Only 1% of children consumed breakfast in accordance with the composition guidelines. No relationships between breakfast skipping and weight status were detected in this study after adjustment for age, sex and all socio-economic factors (OR = 1.16, 95% CI = 0.72–1.89, p = 0.541). Further school-based interventions should be implemented to improve breakfast quality and to promote a healthy weight in Tunisian children.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".