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Record W4412707946 · doi:10.1186/s40795-025-01131-0

Factors and determinants of malnutrition among under-five children in internally displaced persons (IDP) camps in Africa: a systematic review

2025· review· en· W4412707946 on OpenAlexaff
Eucheria Ekugeni Abua, Antor O. Ndep, Nsikakabasi Samuel George, Brian Enembe Edet, Edward Onun Okoi, Helen Lonn, Christiana Asibi Ogben, Gima Humphrey Forje, Theresa Mark Awa, Maurice-Joel Ugbe Ugbe

Bibliographic record

VenueBMC Nutrition · 2025
Typereview
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsSaskatchewan Polytechnic
Fundersnot available
KeywordsMalnutritionCINAHLMedicineEnvironmental healthGerontologyPsychological interventionNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Internal displacement due to conflict or crises has led to millions, including children under five, residing in precarious internally displaced persons (IDP) camps. Malnutrition, predominantly undernutrition in Sub-Saharan Africa, is a significant concern in these contexts. This review aimed to assess the factors and determinants of malnutrition among under-five children in IDP Camps in Africa. METHOD: The review was conducted according to the PRISMA guidelines, and the research protocol was registered in PROSPERO (CRD42023460266). Embase, MEDLINE, CINAHL, Web of Science, CABI Abstracts, Scopus and Google Scholar were searched methodically. The AXIS Critical Appraisal of Cross-sectional Studies Tool was utilized to evaluate the quality and risk of bias of each included study. RESULT: After screening full-text articles, eight studies meeting eligibility criteria were included in the review. Factors influencing nutritional status of under-five children were summarized into 11 themes: Age, Gender, Caregiver's Educational Status, Family Planning, Antenatal Care, Displacement Status, Access to Safe Water and Handwashing, Dietary Diversity, Disease History, Caregiver's Occupation, and Household Income. CONCLUSION: This review examined the factors contributing to malnutrition among under-five children in IDP camps in Africa, and sheds light on neglected crises. It adds to existing knowledge in this area. The findings underscore the need for future research to explore variations in malnutrition determinants across different IDP contexts and to focus on multi-sector collaboration for effective policy implementation in addressing malnutrition in African IDP camps.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.324
Teacher spread0.281 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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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