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Record W7134254308 · doi:10.26181/14246819.v1

Effects of food policy actions on Indigenous Peoples' nutrition-related outcomes: a systematic review

2020· article· W7134254308 on OpenAlexaboutno aff

Bibliographic record

VenueLa Trobe University · 2020
Typearticle
Language
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPsychological interventionMalnutritionFood policyGrey literaturePublic healthFood securitySystematic review

Abstract

fetched live from OpenAlex

© Author(s) 2020. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ. <br>Introduction Indigenous Peoples worldwide endure unacceptable health disparities with undernutrition and food insecurity often coexisting with obesity and chronic diseases. Policy-level actions are required to eliminate malnutrition in all its forms. However, there has been no systematic synthesis of the evidence of effectiveness of food and nutrition policies for Indigenous Peoples around the world. This review fills that gap. Methods Eight databases were searched for peer-reviewed literature, published between 2000 and 2019. Relevant websites were searched for grey literature. Articles were included if they were original studies, published in English and included data from Indigenous Peoples from Western colonised countries, evaluated a food or nutrition policy (or intervention), and provided quantitative impact/outcome data. Study screening, data extraction and quality assessment were undertaken independently by two authors, at least one of whom was Indigenous. A narrative synthesis was undertaken with studies grouped according to the NOURISHING food policy framework. Results We identified 78 studies from Canada, Australia, Aotearoa/New Zealand and the USA. Most studies evaluated targeted interventions, focused on rural or remote Indigenous communities. The most effective interventions combined educational strategies with policies targeting food price, composition and/or availability, particularly in retail and school environments. Interventions to reduce exposure to unhealthy food advertising was the only area of the NOURISHING framework not represented in the literature. Few studies examined the impact of universal food policies on Indigenous Peoples' diets, health or well-being. Conclusion Both targeted and universal policy action can be effective for Indigenous Peoples. Actions that modify the structures and systems governing food supply through improved availability, access and affordability of healthy foods should be prioritised. More high-quality evidence on the impact of universal food and nutrition policy actions for Indigenous Peoples is required, particularly in urban areas and in the area of food marketing.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.026
GPT teacher head0.298
Teacher spread0.272 · 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.

Study designSystematic review
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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