Evidence map›Paper›PMID 41371295›Full record

SynthesisThe Cochrane database of systematic reviews2025

School feeding programs for improving the physical and psychological health of school children experiencing socioeconomic disadvantage.

Elizabeth Kristjansson, Michael Dignam, Anita Rizvi, Muna Osman, Olivia Magwood, Deborah Olarte, Juliana Fw Cohen, Julia Krasevec, Tanya Grover, Patrick R Labelle and 7 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. The potential of a national school food program to reduce dietary inequalities among children in Canada.Canadian journal of public health = Revue canadienne de sante publique · 2026
    Article
  2. Article
  3. Article
  4. Review
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

17 authors.

Elizabeth KristjanssonProfessor Emeritus, School of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-6275-8584
Michael DignamSchool of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-1379-6859
Anita RizviSchool of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-3826-1439
Muna OsmanSchool of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, Canada.ORCID 0009-0005-9024-9727
Olivia MagwoodBruyère Health Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0003-0262-5621
Deborah OlarteAssistant Professor, Department of Nutrition and Food Studies, New York University, New York City, USA.ORCID 0000-0003-0133-4793
Juliana Fw CohenDepartment of Nutrition, Merrimack College & Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-3145-6014
Julia KrasevecBurlington, Ontario, Canada.ORCID 0000-0003-0343-0404
Tanya GroverSchool of Nutrition Sciences, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-8723-2546
Patrick R LabelleLibrary, University of Ottawa, Ottawa, Canada.ORCID 0000-0003-4033-9669
Jennifer A GarnerDepartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0009-0007-9136-1029
Laura JanzenDepartment of Psychology & Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0002-6183-731X
Sydney RossiterSchool of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, Canada.
Omar DewidarTemerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Beverley SheaOttawa Health Research Institute, University of Ottawa, Ottawa, Canada.
Vivian WelchSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-5238-7097
George A WellsSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-2289-9139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleSchool feeding aims to alleviate hunger and enhance child outcomes. Since the first Cochrane systematic review of school meals, there has been a marked increase in studies and reviews of school feeding programs. However, most systematic reviews are geographically limited and use qualitative analysis. We reviewed worldwide papers and performed several meta-analyses, providing a more comprehensive picture of the effectiveness of school feeding.

objectives1. To assess effectiveness of school feeding programs for improving the physical and psychological health of children experiencing socioeconomic disadvantage worldwide. 2. To assess effectiveness of school feeding programs for improving the health of children experiencing socioeconomic disadvantage compared with children who are more advantaged. SEARCH

methodsWe searched 17 subject-specific and multidisciplinary databases and registries up to November 2023. In November 2024, two Information Specialists ran a top-up search for randomized controlled trials (RCTs). We handsearched references of included studies and relevant reviews. ELIGIBILITY CRITERIA: We included individually randomized, cluster-randomized, and cross-over trials, as well as longitudinal non-randomized studies of interventions (NRSIs). Studies had to compare the provision of free or reduced-price food in schools versus no school feeding, focusing on socioeconomically disadvantaged children. The food had to contain at least 3% of the daily energy requirement and at least 10% of the daily protein requirement for the specified age group(s). Eligible participants were primary or secondary school students aged five to 19 years. OUTCOMES: Our critical outcomes were change in: math achievement, reading achievement, attendance, enrollment, height-for-age z-score (HAZ), weight-for-age z-score (WAZ), and overweight/obesity. Our important outcomes were change in: overall academic achievement, fluid intelligence, working memory, behavioral/emotional outcomes, height, weight, and anemia. We planned to study changes between baseline and final outcomes. In one study with extreme contamination, we used the first follow-up. RISK OF BIAS: We assessed the risk of bias for RCTs by outcome using the appropriate version of the Cochrane risk of bias tool (RoB 2): RoB 2 for individually randomized trials, for cluster-RCTs, and for cross-over trials. We evaluated the quality of NRSIs using the School-based Measurement & Assessment of Results Tool (SMART), which is adapted from the Newcastle Ottawa Scale. SYNTHESIS

methodsWe used standardized mean differences (SMDs) with 95% confidence intervals (CIs) for educational and cognitive outcomes. We used mean differences (MDs), odds ratios (ORs), or incidence rate ratios (IRRs) for others. All meta-analyses used random-effects generic inverse variance. We conducted equity subgroup analyses by sex and socioeconomic status. We used GRADE to assess our confidence in the evidence for critical outcomes reported in RCTs. INCLUDED STUDIES: We included 40 studies with 83 reports. There were 13 RCTs (12 cluster-randomized trials and one individually randomized trial) and 27 NRSIs. Most studies (34) were from low- and middle-income countries (LMICs). In total, there were more than 91,885 students (four studies didn't report sample size). One study involved 59,613 students, while the others had between 60 and 6038 students. The studies included 48 outcomes; we meta-analyzed or reported 14. SYNTHESIS OF

resultsLow- and middle-income countries (LMICs) School feeding compared to no school feeding improves math achievement slightly (SMD 0.14, 95% CI 0.06 to 0.23; P = 0.001; I² = 68%; 6 cluster-RCTs, 5587 participants; high-certainty evidence), but may have little to no effect on reading achievement (SMD 0.02, 95% CI -0.06 to 0.11; P = 0.61; I AUTHORS'

conclusionsIn LMICs, school feeding programs lead to a slight improvement in math achievement, but may have little to no effect on reading achievement. School feeding programs lead to a slight increase in enrollment, but may have little to no impact on attendance. They likely lead to slight gains in HAZ and WAZ. There may be little to no association between school feeding and overweight/obesity, but the evidence is very uncertain. We recommend that researchers and policymakers view research as an integral part of the implementation process. To reduce heterogeneity in outcomes, we recommend even greater co-ordination of research, and that researchers and interest holders work together to identify a core set of outcomes.

fundingThe authors would like to thank the following donors for their generous support in making this review possible: Dubai Cares, the World Food Programme's School Meals and Social Protection Service, and the Research Consortium for School Health and Nutrition. REGISTRATION: Protocol (2022): https://doi.org/10.1002/14651858.CD014794 Original review (2007): https://doi.org/10.1002/14651858.CD004676.pub2 Original Campbell protocol (2006): doi.org/10.1002/CL2.12.

Indexed as

Food ServicesMental HealthSchoolsAdolescentBiasChildChild, PreschoolHumansPediatric ObesityRandomized Controlled Trials as TopicSocioeconomic Disparities in HealthSocioeconomic Factors

Identifiers

PMID41371295
PMCPMC12695400

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.