An overview on the nutrition transition and its health implications: Tunisia case
Bibliographic record
Abstract
<strong>Background:</strong> In the last decades, Tunisia has undergone major demographic, socio-economic and lifestyle (including diet) changes, with drastic increases in excess adiposity and nutrition related non-communicable diseases (NCDs). This review provides an update of the nutritional situation in Tunisia. <strong>Methods:</strong> Several Tunisian datasets or international databases were used to assess availability and consumption of foods and health outcomes. <strong>Results:</strong> Both from national aggregated availability data and individual food consumption data, there was a trend both of increasing food intake and modernization/westernization of the diet (especially in urban areas), towards more consumption of dairy and meat products, sugar, fat and salt. But consumption of fruits and vegetables was still above WHO recommendations. Except for iodine, micronutrients deficiency (iron, vitamin A and D) was markedly, but unevenly, present among specific groups (e.g., a third of adult women had anaemia). Among infants, both exclusive and predominant breastfeeding were low, while the minimum diet diversification rate was 63%. Among children, stunting was residual but increase of overweight was a concern. In 2016 17.6% of men and 34.6 % of women over 15 y. were obese and 15.5% had diabetes, a twofold increase in the last decades. These prevalences were much higher in urban and more developed areas. Also, 86% of the mortality rate was attributable to NCDs. <strong>Conclusion: </strong>Addressing the double burden of malnutrition and NCDs is a priority and should be based on a sustainability framework, involve a diversity of stakeholders and emphasize double duty actions and reduction of nutrition and health inequalities
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".