ORIGINAL RESEARCH article
Front. Public Health
Sec. Public Health and Nutrition
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1520191
This article is part of the Research TopicX-raying Zero Hunger (SDG2) Targets in Africa and Other Regions: Progress, Synergies, Opportunities, and Challenges Volume IIView all 9 articles
Quantile regression application to identify key determinants of malnutrition in Five West African Countries of Gabon, Gambia, Liberia, Mauritania, and Nigeria
Provisionally accepted
- School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
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Background: Malnutrition remains one of the most pressing health challenges, particularly in developing nations across Africa, placing a significant burden on both public health agencies and the affected countries. In countries such as Gabon, Gambia, Mauritania, Liberia, and Nigeria, the burden of malnutrition exacerbates public health systems, strains economic resources, and hinders sustainable development, underscoring the urgent need for coordinated efforts at national and international levelsMalnutrition is one of the most pressing health challenges confronting public health agencies in developing nations. This study aimed to determine the scope and underlying factors contributing to the elevated incidence of malnutrition in West African countries, specifically Gabon, Gambia, Liberia, Mauritania, and Nigeria. Method: This study employed a quantile regression model to examine the determinants of malnutrition at various quantiles of interest across the Western African countries under consideration to facilitate focused policy measures and intervention strategies aimed at decreasing the prevalence. Results: For the lower quantiles (0.1 and 0.25), which indicate severe malnutrition, significant variables included the child's weight [quantile=0.1,95% CI(0.0063,0.0103)), quantile=0.25,95%
Keywords: Health Policy, Malnutrition, Primary healthcare interventions, Public Health, quantile regression, West African countries Font: (Default) Times New Roman, Italic, Font color: Auto
Received: 30 Oct 2024; Accepted: 06 May 2025.
Copyright: © 2025 Beni, Ramroop and Habyarimana. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Reshav Beni, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
Shaun Ramroop, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
Faustin Habyarimana, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
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