Evidence map›Paper›PMID 40999411›Full record

ArticleBMC public health2025

The magnitude and risk factors for concurrent anthropometric and nutritional deficiency among children aged 6 to 59 months in liberia: A Multi-Level analysis using the 2019 Liberia demographic health survey (LDHS) data.

Edward Gartay Gar, Iddriss Askandir, Justice Kwadwo Turzin

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Article in BMC public health, 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Edward Gartay GarDepartment of Economics and Finance, College of Business and Administration, William V.S. Tubman University, Tubman Town, Harper, Maryland County, Liberia. gartayedward2013@gmail.com.ORCID http://orcid.org/0009-0006-0692-6009
Iddriss AskandirDepartment of Economic Studies, School of Economics, College of Humanities and Legal Studies, Central Region, University of Cape Coast, Cape Coast, Ghana.ORCID http://orcid.org/0009-0007-2316-8067
Justice Kwadwo TurzinDepartment of Biomedical Sciences, School of Allied Health Sciences, College of Health and Allied Sciences, Central Region, University of Cape Coast, Cape Coast, Ghana.ORCID http://orcid.org/0000-0001-6411-3694

Funding

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6 · The paper itself

Abstract

objectiveThis study aimed to investigate the magnitude and risk factors associated with concurrent anthropometric and nutritional deficiencies among children aged 6 to 59 months in Liberia. MATERIALS AND

methodsWe conducted a multilevel analysis using data from the 2019 Liberia Demographic and Health Survey (LDHS) to gain a comprehensive understanding of the problem. The study examined the prevalence of common problems, such as stunting, wasting, and anaemia, among children in Liberia to gain a deeper understanding of the issue. This study employed four different regression models. These models included panel mixed-effects Poisson regression, panel mixed-effects logistic regression, Poisson regression, and conditional fixed-effects regression.

resultsOur findings showed that, among children aged 6–59 months in Liberia, the prevalence of stunting was 31.98%. Additionally, wasting was 6.84%, underweight was 11.97%, and anaemia was 34.09%. Notably, children aged 24–35 months faced a significantly higher risk, with a 59.2% increased incidence rate of concurrent deficiencies (IRR = 1.592, p < 0.05). Female children had a 22.6% lower incidence of deficiencies compared to males (IRR = 0.774, p < 0.05). Household wealth status showed a strong protective effect, with children in the wealthiest households experiencing a 46.3% lower risk of multiple deficiencies (IRR = 0.537, p < 0.01). Complete immunisation was linked to a 37.8% reduction in the incidence of deficiencies (IRR = 0.622, p < 0.05). Furthermore, concurrent anaemia and stunting (CAS) were present in 37.0% of cases, with children in the wealthiest households having 87% lower odds (AOR = 0.130, p = 0.024).

conclusionBy implementing effective interventions that promote proper nutrition and growth, policymakers and stakeholders can work toward improving the health and well-being of children in Liberia and reducing the burden of concurrent anthropometric and nutritional deficiencies. We therefore recommend that policymakers and practitioners in Liberia prioritize cluster-specific interventions to promote child health, given the high variability at the cluster level.

Indexed as

Child Nutrition DisordersGrowth DisordersAnemiaAnthropometryChild, PreschoolFemaleHealth SurveysHumansInfantLiberiaMaleMultilevel AnalysisPrevalenceRisk FactorsThinnessAnaemiaChild malnutritionConcurrent anthropometric deficienciesDemographic and health surveyLiberiaMultilevel analysisNutritional deficienciesRisk factorsStuntingWasting

Identifiers

PMID40999411
PMCPMC12465397

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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.