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Record W4416307160 · doi:10.1017/gmh.2026.10232

Food Insecurity and Child Mental Health in Masaka District, Uganda: Qualitative Study Using a Realist Thematic Analysis

2025· article· en· W4416307160 on OpenAlexaff
Ibrahim Kasujja, Jacent Kamuntu Asiimwe, Hugo Melgar‐Quiñonez, Crick Lund, Tatiana Taylor Salisbury

Bibliographic record

VenueCambridge Prisms Global Mental Health · 2025
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsMcGill University
FundersKing's College London
KeywordsThematic analysisMental healthPsychosocialQualitative researchPsychological interventionPovertyFocus groupConceptual frameworkRigour

Abstract

fetched live from OpenAlex

Abstract Background Food insecurity and child mental health difficulties often intersect in complex ways, yet the mechanisms underpinning these relationships remain underexplored in resource-limited settings. This study aimed to develop a conceptual framework linking food insecurity and mental health difficulties among children in a low-resource Ugandan context. Methods A qualitative design was employed, consisting of 12 focus group discussions with 36 teachers across four schools. Teachers provided accounts of children’s experiences of food insecurity and associated psychosocial difficulties, drawing on sustained observation over 9 months. Data were analysed using realist thematic analysis, with nine coder consensus meetings and member checking with all participants to enhance rigour and interpretive validity. Themes were synthesised into an integrated conceptual framework. Results The framework identified three interlinked pathways: social causation, where food insecurity (e.g., hunger, stigma, irregular meals) precipitated psychosocial distress; social drift, where pre-existing child or caregiver mental health difficulties disrupted family functioning and food provision; and bidirectional pathways, where these processes reinforced one another through recursive feedback loops. Together, the framework shows that food insecurity and child mental health difficulties interact in cyclical, context-dependent ways. Conclusions Findings highlight the cyclical, context-dependent nature of food insecurity and child mental health in resource-limited settings. Interventions are needed that integrate food security, nutrition, psychosocial support, and structural reforms. Schools represent critical entry points; however, broader policy action on poverty alleviation and social protection is also essential. This framework has provided a foundation for future longitudinal and intervention studies, as well as child-centred measurement innovations.

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)0.011
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.012
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0090.006
Scholarly communication0.0030.003
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.111
GPT teacher head0.490
Teacher spread0.379 · 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 designQualitative
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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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