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Record W2942985708 · doi:10.1684/mst.2018.0831

The nutrition transition and the double burden of malnutrition

2018· article· fr· W2942985708 on OpenAlexaff
Malek Batal, L Steinhouse, Hélène Delisle

Bibliographic record

VenueMédecine et Santé Tropicales · 2018
Typearticle
Languagefr
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsDouble burdenMalnutritionOvernutritionNutrition transitionMicronutrientEnvironmental healthMedicinePsychological interventionGovernment (linguistics)Development economicsBusinessObesityEconomic growthEconomicsOverweight

Abstract

fetched live from OpenAlex

Chronic noncommunicable diseases are increasingly frequent in low- and medium-income countries, but problems of malnutrition, such as growth restriction in children or micronutrient deficiencies in both children and adults, persist in these same countries. This double burden of malnutrition and the emergence of chronic diseases such as type 2 diabetes strain healthcare systems and constitute a sometimes unbearable load for the countries concerned, for the government, but also for the individuals affected and their families. This double burden is often associated with the nutrition transition or the progression away from the local traditional diet towards a Westernized diet frequently high in fat, salt, and sugar, with low nutritional density. This transition is attributed to worldwide changes in dietary systems expressed by an increased availability of foodstuffs marketed across the planet, such as vegetable oils, sugars, and refined flours, but also the multiplication of points of sale of food that has been processed, even ultraprocessed. The efforts to battle this scourge must take into account the complexity of the phenomenon and the many factors associated with it. A systemic approach that considers the global forces governing the food systems must be promoted. Actions concerning nutrition must therefore emphasize simultaneously the problems of undernutrition and of overnutrition. WHO labels these interventions "double duty actions."

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.296
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations42
Published2018
Admission routes1
Has abstractyes

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