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Record W4245019994 · doi:10.1080/16549716.2021.1902659

Nutrition-related non-communicable disease and sugar-sweetened beverage policies: a landscape analysis in Kenya

2021· article· en· W4245019994 on OpenAlex
Milka Wanjohi, Ann Marie Thow, Safura Abdool Karim, Gershim Asiki, Agnes Erzse, Shukri F. Mohamed, Hermann Pythagore Pierre Donfouet, Pamela A. Juma, Karen Hofman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGlobal Health Action · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsNon-communicable diseaseEnvironmental healthMalnutritionBusinessGovernment (linguistics)Communicable diseaseMedicineEconomic growthPublic healthEconomics

Abstract

fetched live from OpenAlex

Background: The burden of undernutrition is significant in Kenya. Obesity and related non-communicable diseases are also on the increase. Government action to prevent non-communicable diseases is critical. Taxation of sugar-sweetened beverages has been identified as an effective mechanism to address nutrition-related non-communicable diseases, although Kenya is not yet committed to this.Objective: To assess the policy and stakeholder landscape relevant to nutrition related non -communicable diseases and sugar-sweetened beverage taxation in Kenya.Methods: A desk review of evidence and policies related to nutrition related non-communicable diseases and sugar-sweetened beverages was conducted. Data extraction matrices were used for analysis. Key informant interviews were conducted with 10 policy actors. Interviews were thematically analysed to identify enablers of, and barriers to, policy change towards nutrition-sweetened beverage taxation.Results: Although nutrition related non-communicable diseases are recognised as a growing problem in Kenya most food-related policies focus on undernutrition and food security, while underplaying the role of nutrition related non-communicable diseases. Policy development on communicable diseases is multi-sectoral, but implementation is biased towards curative rather than preventive services. An excise tax is charged on soft drinks, but is not specific to sugar-sweetened beverages. Government has competing roles: advocating for industrial growth, such as sugar and food processing industries to foster economic development, yet wanting to control nutrition related non-communicable diseases. There is no national consensus about the dangers posed by sugar-sweetened beverages.Conclusion: Nutrition related non-communicable diseases policies should reflect a continuum of issues, from undernutrition to food security, nutrition transition, and the escalation of nutrition related non-communicable diseases. A local advocacy case for sugar-sweetened beverage taxation has not been made. Public and policy maker education is critical to challenge the prevailing attitudes towards sugar-sweetened beverages and the western diet.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.335
Teacher spread0.311 · 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