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Record W3110031363 · doi:10.3390/nu12123700

Implementation of WHO Recommended Policies and Interventions on Healthy Diet in the Countries of the Eastern Mediterranean Region: From Policy to Action

2020· review· en· W3110031363 on OpenAlexaff
Ayoub Al‐Jawaldeh, Asmus Hammerich, Radhouene Doggui, Kaia Engesveen, Krista Lang, Karen McColl

Bibliographic record

VenueNutrients · 2020
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsUniversité de Sherbrooke
FundersWorld Health Organization
KeywordsMediterranean dietPsychological interventionAction (physics)Mediterranean climateEnvironmental healthMedicinePolitical scienceGeographyInternal medicineNursing

Abstract

fetched live from OpenAlex

Non-communicable diseases (NCDs) are responsible for almost two-thirds of the deaths in the 22 countries and territories of the WHO Eastern Mediterranean Region and unhealthy diets are a major contributor. Prevalence of overweight and obesity has increased among adults, adolescents and older children in recent decades. Among countries with the highest prevalence there are signs that the increase is slowing down or even that prevalence is declining. There has been no increase in the prevalence rate in younger children, although the absolute number of children under five years affected by overweight has increased. This review summarizes prevalence data and examines current implementation of regulatory, fiscal and voluntary measures to promote healthy diet across the Region. The last decade has seen a step up in such action. Ten of the Region's countries have policies relating to trans-fatty acids and they are increasingly implementing specific regulatory measures. Thirteen countries had fully or partially implemented national salt reduction policies by 2019. Only four countries had adopted policies relating to aspects of marketing food to children by 2019, and concrete action in this area is still lacking. Eight countries have introduced taxes-sometimes at a rate of 50%-on carbonated or sugar-sweetened beverages. In order to meet the agreed global and regional goals relating to nutrition and diet-related NCDs, countries will need to build on this progress and scale up action across the Region while intensifying efforts in areas where concrete action is lacking.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.675
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.226
GPT teacher head0.461
Teacher spread0.236 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations55
Published2020
Admission routes1
Has abstractyes

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