ArticleBMC public health2026
Improving healthy eating behaviour among in-school adolescents through collaborative instructional intervention: a theory-driven quasi-experimental study.
Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdolescence is a critical window for establishing dietary behaviours that shape long-term health outcomes. In Nigeria and other Sub-Saharan African countries, school-based nutrition education has been largely ineffective when delivered through conventional didactic approaches. This study evaluated the effect of a Health Belief Model-guided collaborative learning intervention on diet quality, nutrition knowledge, and perceived dietary behaviour among in-school adolescents in Ogun State, Nigeria.
methodsA quasi-experimental, pre-test-post-test control group design was used. Three hundred adolescents aged 13-19 years from two public secondary schools in Odeda Local Government Area were recruited, with 150 assigned to each group. The intervention group received eight weeks of structured nutrition education delivered through collaborative learning techniques, while the control group received the same content through conventional didactic instruction. Diet quality was assessed using the Global Diet Quality Questionnaire (DQQ), nutrition knowledge using a validated 20-item questionnaire, and perceived dietary behaviour using an HBM-based scale. Data were analysed using paired t-tests, independent t-tests, Difference-in-Differences analysis, and ANCOVA.
resultsThe intervention group demonstrated statistically significant improvements in dietary diversity (DDS: 33.74%), NCD-Protect score (153.22%), and GDR score (39.86%), while the NCD-Risk score showed no significant change in either group (p = 0.967). Nutrition knowledge improved significantly in the intervention group (DiD = 7.94; p = 0.007), with no meaningful change in the control group. All six HBM constructs improved significantly in the intervention group, including self-efficacy (13.46%) and perceived severity (18.96%). ANCOVA confirmed that the intervention independently predicted improvements in both dietary diversity and nutrition knowledge after adjusting for baseline scores and sociodemographic covariates.
conclusionsThe findings of this study suggest that collaborative learning-based nutrition education guided by the Health Belief Model was associated with meaningful improvements in diet quality, nutrition knowledge, and health beliefs among in-school adolescents. These findings support further evaluation of participatory and theory-driven instructional approaches within school-based nutrition programming in Nigeria and similar low-resource settings, ideally through cluster-randomised designs involving larger numbers of schools.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.