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Record W4366336237 · doi:10.1136/bmjopen-2022-068901

Effect of school-based nutrition interventions among primary school children in sub-Saharan Africa: a systematic review protocol

2023· review· en· W4366336237 on OpenAlexafffund
Angela Nyamekye Osei, Marija Djekić-Ivanković, Charles P. Larson, Isaac Agbemafle, Emily Jaeger-McEnroe, Faith Agbozo

Bibliographic record

VenueBMJ Open · 2023
Typereview
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsMcGill University
FundersUniversity of Health and Allied SciencesMcGill University
KeywordsCINAHLMedicinePsychological interventionCritical appraisalMEDLINECochrane LibrarySystematic reviewFamily medicineProtocol (science)Grey literatureMedical educationAlternative medicineNursingPathology

Abstract

fetched live from OpenAlex

INTRODUCTION: Preadolescents are passing through an intensive growth and development period that will benefit from healthy eating practices. For those attending school, school environments offer several potential benefits and have been demonstrated to influence the quality of dietary intakes and consequentially, nutritional status of school-aged children (SAC). Considering the amount of time children spend in school and the enormous potential of evidence-based interventions, the purpose of this review is to critically appraise peer-reviewed literature addressing the impact of school-based interventions on the nutritional status of SAC aged 6-12 years in sub-Saharan Africa. METHODS AND ANALYSIS: A systematic search will be conducted in the following databases and online search records: Medline, CINAHL, Web of Science, Embase, Global health, Global Index Medicus, Cochrane library, Hinari and Google Scholar using search terms and keywords codeveloped with two librarians. An additional search will also be conducted from the reference list of identified literature. Search results of titles and abstracts will be initially screened for eligibility criteria by two independent reviewers and where there is disagreement, a third reviewer will be consulted. Articles meeting these criteria will then undergo a full-text review for the eligibility and exclusion criteria. The Joanna Briggs Institute critical appraisal tool will be used to assess the risk of bias. Data from articles meeting all study criteria will be extracted, analysed and synthesised. A meta-analysis will also be conducted if sufficient data are available. ETHICS AND DISSEMINATION: This systematic review is limited to publicly accessible data bases not requiring prior ethical approval to access. The results of the systematic review will be disseminated through publications in peer-reviewed journals as well as conference and stakeholder presentations. PROSPERO REGISTRATION NUMBER: CRD42022334829.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.083
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.083
Threshold uncertainty score0.438

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0830.064
Meta-epidemiology (narrow)0.0060.007
Meta-epidemiology (broad)0.0220.017
Bibliometrics0.0140.011
Science and technology studies0.0050.006
Scholarly communication0.0080.009
Open science0.0060.005
Research integrity0.0090.007
Insufficient payload (model declined to judge)0.0790.010

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 head0.102
GPT teacher head0.458
Teacher spread0.356 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

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

Citations4
Published2023
Admission routes2
Has abstractyes

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