Evidence map›Paper›PMID 41047575›Full record

ArticlePublic health nutrition2025

Targeting undernutrition in Haiti: a spatial analysis for improving food security and reducing stunting in children under five.

Delia Atzori, Ben Sonneveld, Lia van Wesenbeeck

Abstract read
In one paragraph

Article in Public health nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Delia Atzorihttps://ror.org/008xxew50Vrije Universiteit Amsterdam, Amsterdam Centre for World Food Studies (ACWFS), De Boelelaan 1105, Room 10A-64 (Secretariat Department of Economics), 1081 HV Amsterdam, The Netherlands.ORCID 0000-0001-8452-9590
Ben Sonneveldhttps://ror.org/008xxew50Vrije Universiteit Amsterdam, Amsterdam Centre for World Food Studies (ACWFS), De Boelelaan 1105, Room 10A-64 (Secretariat Department of Economics), 1081 HV Amsterdam, The Netherlands.
Lia van Wesenbeeckhttps://ror.org/008xxew50Vrije Universiteit Amsterdam, Amsterdam Centre for World Food Studies (ACWFS), De Boelelaan 1105, Room 10A-64 (Secretariat Department of Economics), 1081 HV Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to contribute to enhanced food security in Haiti through proposing targeted local interventions. Employing a spatially explicit tool, the research supports decision-making by relating undernutrition to socio-economic conditions and biophysical factors.

designGeoreferenced Demographic and Health Survey (DHS) conducted in 2016–2017 combined with spatial environmental information was used for a multivariate linear regression model to identify factors associated with stunting prevalence. Missing data were imputed through kernel density regression. We converted the structural relationship estimated for the territory of Haiti into a decision support tool by adding fixed effects at communal level. Various policy scenarios were analysed.

settingHaiti, with spatial data across the 134 communes.

participantsThe analysis included 5623 children under five and their mothers, sourced from DHS data.

resultsApproximately 22 % of all children were stunted. Implementation of the LimitedIntervention development scenario led to a 2·5 % reduction in stunting, while the ModerateIntervention and FullIntervention scenarios achieved more significant reductions of 6 % and 10 %, respectively. Areas with highest stunting incidence benefit most from interventions.

conclusionsThis tool supports decisionmakers by assessing the impact of interventions at commune level and selecting areas where interventions exert the most significant effects. The study suggests to apply a strategy that starts in relatively safe communes and then scales to other areas. The flexible approach adopted in this study allows applications in other countries or regions to assess the prevalence of undernutrition among children under five.

Indexed as

Food SecurityGrowth DisordersMalnutritionChild, PreschoolFemaleHaitiHealth SurveysHumansInfantMalePrevalenceSocioeconomic FactorsSpatial AnalysisFood PolicyHaitiSpatial AnalysisStunting

Identifiers

PMID41047575
PMCPMC12722090

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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.