Evidence map›Paper›PMID 31100125›Full record

Trial reportThe Journal of nutrition2019

A School Meals Program Implemented at Scale in Ghana Increases Height-for-Age during Midchildhood in Girls and in Children from Poor Households: A Cluster Randomized Trial.

Aulo Gelli, Elisabetta Aurino, Gloria Folson, Daniel Arhinful, Clement Adamba, Isaac Osei-Akoto, Edoardo Masset, Kristie Watkins, Meena Fernandes, Lesley Drake and 1 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 6 pooled it
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 6 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 3 countries.

Aulo GelliInternational Food Policy Research Institute, Washington, DC.
Elisabetta AurinoPartnership for Child Development, Department of Infectious Disease Epidemiology, Imperial College, London, London, United Kingdom.
Gloria FolsonNoguchi Memorial Institute for Medical Research, College of Health Sciences.
Daniel ArhinfulNoguchi Memorial Institute for Medical Research, College of Health Sciences.
Clement AdambaInstitute of Statistical, Social, and Economic Research, University of Ghana, Legon, Ghana.
Isaac Osei-AkotoInstitute of Statistical, Social, and Economic Research, University of Ghana, Legon, Ghana.
Edoardo MassetInstitute of Development Studies, University of Sussex, Brighton, United Kingdom.
Kristie WatkinsPartnership for Child Development, Department of Infectious Disease Epidemiology, Imperial College, London, London, United Kingdom.
Meena FernandesPartnership for Child Development, Department of Infectious Disease Epidemiology, Imperial College, London, London, United Kingdom.
Lesley DrakePartnership for Child Development, Department of Infectious Disease Epidemiology, Imperial College, London, London, United Kingdom.
Harold AldermanInternational Food Policy Research Institute, Washington, DC.
Imperial College London · GBInternational Food Policy Research Institute · USNoguchi Memorial Institute for Medical Research · GHUniversity of Ghana · GHUniversity of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttention to nutrition during all phases of child and adolescent development is necessary to ensure healthy physical growth and to protect investments made earlier in life. Leveraging school meals programs as platforms to scale-up nutrition interventions is relevant as programs function in nearly every country in the world.

objectiveThe aim of this study was to evaluate the impact of a large-scale school meals program in Ghana on school-age children's anthropometry indicators.

methodsA longitudinal cluster randomized control trial was implemented across the 10 regions of Ghana, covering 2869 school-age children (aged 5-15 y). Communities were randomly assigned to 1) control group without intervention or 2) treatment group providing the reformed national school feeding program, providing 1 hot meal/d in public primary schools. Primary outcomes included height-for-age (HAZ) and BMI-for-age (BAZ) z scores. The analysis followed an intention-to-treat approach as per the published protocol for the study population and subgroup analysis by age (i.e., midchildhood for children 5-8 y and early adolescence for children 9-15 y), gender, poverty, and region of residence. We used single-difference ANCOVA with mixed-effect regression models to assess program impacts.

resultsSchool meals had no effect on HAZ and BAZ in children aged 5-15 y. However, in per-protocol subgroup analysis, the school feeding intervention improved HAZ in 5- to 8-y-old children (effect size: 0.12 SDs), in girls (effect size: 0.12 SDs)-particularly girls aged 5-8 y living in the northern regions, and in children aged 5-8 y in households living below the poverty line (effect size: 0.22 SDs). There was also evidence that the intervention influenced food allocation and sharing at the household level.

conclusionSchool meals can provide a platform to scale-up nutrition interventions in the early primary school years, with important benefits accruing for more disadvantaged children. This trial was registered at www.isrctn.com as ISRCTN66918874.

Indexed as

AnthropometryBody HeightFamily CharacteristicsMealsPovertySchoolsAdolescentChildChild, PreschoolCluster AnalysisFemaleGhanaHumansMaleadolescenceimpact evaluationnutritionschool ageschool meals

Identifiers

PMID31100125
PMCPMC6686055
OpenAlexW2945847075

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.