Multidimensional Poverty and Acute Malnutrition of Children in Households of Mayo-danay Division, Cameroon
International Journal of Nutrition and Food Sciences
Volume 9, Issue 1, January 2020, Pages: 25-32
Received: Oct. 22, 2019;
Accepted: Dec. 8, 2019;
Published: Apr. 13, 2020
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Martin Sobze Sanou, Faculty of Medicine and Pharmaceutical Sciences, University of Dschang, Dschang, Cameroon
Andre Izacar Gael Bita, Faculty of Medicine and Pharmaceutical Sciences, University of Dschang, Dschang, Cameroon; Department of Health, Health and Education Action (HEDA), Bengbis, Cameroun
Ghyslaine Bruna Djeunang Dongho, Faculty of Science and Technology, Evangelical University of Cameroon, Mbouo-Bandjoun, Cameroon
Benjamin Azike Chunkukundun, Faculty of Medicine and Pharmaceutical Sciences, University of Dschang, Dschang, Cameroon
Armand Tiotsa Tsapi, Faculty of Medicine and Pharmaceutical Sciences, University of Dschang, Dschang, Cameroon
Isidore Sieleunou, Head Office, R4D International, Yaounde, Cameroon
Germaine Sylvie Nkengfack Nembongwe, Faculty of Medicine and Pharmaceutical Sciences, University of Dschang, Dschang, Cameroon
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Introduction: The SMART survey (2017) in the Far North region, Cameroon presents high prevalence of malnutrition: 4.5% of global acute malnutrition (GAM) and 40.9% of chronic malnutrition (CM). Objectives: To examine the relationship between multidimensional poverty and malnutrition among children under-five in the Mayo-Danay Division. Specifically, assess the nutritional status of children, describe the living conditions of children in households and measure the association between multidimensional poverty and nutritional status of children. Methods: A cross-sectional, descriptive and analytical study was conducted on a cluster sample at two levels. Anthropometric measurements were used to assess the nutritional status of children. The non-monetary, simplified approach, based on the search for deprivation indices of the well-being of children in the household was used. Results: Out of 433 children surveyed, we observed: 4.4% GAM; 13.9% of underweight and 23.3% MC. Out of the 65,82% poor children, 13,59% had chronic malnutrition; 2.09% GAM and 15.00% underweight. Multidimensional poverty among children was associated with the CM (OR = 4, 436; (CI = 2, 767 - 7,111) and GAM (OR = 4, 194; (CI = 1, 514 - 11,416). Conclusion: The study highlights the interaction between the living conditions of children in households and the impact on their nutritional status. Multidimensional poverty is associated with malnutrition in children. We recommend to initiate a simulation and comparison study, of poverty reduction scenarios, in the study area.
Multidimensional Poverty, Malnutrition, Cameroon, Children-under-five, Nutrition
To cite this article
Martin Sobze Sanou,
Andre Izacar Gael Bita,
Ghyslaine Bruna Djeunang Dongho,
Benjamin Azike Chunkukundun,
Armand Tiotsa Tsapi,
Germaine Sylvie Nkengfack Nembongwe,
Multidimensional Poverty and Acute Malnutrition of Children in Households of Mayo-danay Division, Cameroon, International Journal of Nutrition and Food Sciences. Special Issue: Health and Nutrition: Challenges and Perspectives.
Vol. 9, No. 1,
2020, pp. 25-32.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Ahovey EC, Vodounou C. 2003. Multidimensional Poverty and Child Health: Evidence from the 2001 Benin Demographic and Health Survey. Benin; tatistical and Economic Review of INSAE; p 42.
Djoumessi JB, Kom YH. 2013. Measuring and mapping poverty from living conditions. Yaoundé: BUCREP; Vol 2-Tome 14, 3e RGPH; p 213.
Institut National de Statistique (INS). 2014. Monograph of cross-border exchanges, Cameroon. Yaoundé: INS; p 66.
Nutritional survey and retrospective mortality in women, adolescents and children in cameroon. (East, Adamawa, North and Far north), 2018. available: https://www.humanitarianresponse.info/sites/www.humanitarianresponse.info/files/documents/files/smart_cameroun_2017_rapport_final.pdf (28/11/2019).
Osorio, Ana María, Romero, Gustavo Alfonso, Bonilla, Harold, & Aguado, Luis Fernando. (2018). Socioeconomic context of the community and chronic child malnutrition in Colombia. Revista de Saúde Pública, 52, 73. Epub July 26, 2018. https://dx.doi.org/10.11606/s1518-8787.2018052000394.
Jazet E, Wounang R. 2012. Nutritional status, breastfeeding and feeding practices, Demographic and health surveys and multiple indicators (DHS), 2011. Yaoundé: INS; p 160-180.
Summary of humanitarian needs, Cameroon. 2014. 14p [Retrieved 01/04/2017] Online: https://www.humanitarianresponse.info/system/files/documents/files/HNO_Cameroun_20dec2013.pdf.
Rigaud P, Deubel P, Marsollat P. 2010. The multidimensional poverty index: a new indicator at the service of development policies. Melchior. [Retrieved 01/04/2017] online: http://www.melchior.fr/actualite/lindice-de-pauvrete-multidimensionnel-un-nouvel-indicateur-au-service-des-politiques-de.
Nationale Institut of Statistique (INS). 2010. Presentation report of the final results. 3rd General Census of Population and Housing. Yaounde: INS; p 67.
UNICEF. 2013 Nutritional and retrospective mortality survey based on the smart methodology in 4 regions of Cameroon: extreme north, north, Adamawa and east (Cameroonian populations and refugees from the regions of Adamaoua and East). Data collection: July-August 2013. Final Rapport, Cameroon. Yaounde: UNICEF; p 51.
Lekeumo SK. 2007. Measurement and analysis of non-monetary poverty among children: the case of Cameroon. Yaounde: Institut Sous-Régional de Statistique et d'Economie Appliquée (ISSEA); p 62.
OMS. 2004. Quality Directive for drinking water. Geneva, World Organization Health (WHO); 3th ed.; Vol. 1. 110 p. NLM WA 675.
AMCOW. 2008. From: An overview of the situation of drinking water and sanitation in Africa. A regional perspective based on recent data from the Joint Monitoring Program for Water Supply and Sanitation of WHO/UNICEF. Congo: African Minister's Council of Water; 13 p.
Asselin LM. 2002. Multidimensional poverty. Canada: Institute of Mathematics Gauss; p 89-96.
Institut National de la Statistique (INS), et ICF. 2019. Enquête Démographique et de Santé du Cameroun 2018. Indicateurs Clés. Yaoundé, Cameroun, et Rockville, Maryland, USA: INS et ICF.
S Ambapour, Moussana Hylod H. 2008. Poverty and nutritional health of children in Congo. Brazzaville: Office of Application of Statistical and Computer Methods (BAMSI); p 31.
Ouedraogo S. 2008. Three Essays in Empirical Economics: Education, Health, Gender. Canada: Institute of Applied Economics; HEC; p 108.
Maire B, Delpeuch F, Martin-Prével Y, Fouéré T. 2001. Nutrition and Poverty: A Comparative Review of Anthropometric Surveys in Sub-Saharan Africa in the Last Two Decades. In: WINTER GERARD (COORD.). Inequalities and public policies in Africa: plurality of norms and stakeholder. Paris: Institut de Recherche et Développement (IRD); p 57-71. ISBN 2-84586-141-9.
Khanna P, Kaur R, Singh T, Miller J, Sandhu A. K, Jyoti. Prevalence and Socio Demographic Determinants of Malnutrition in Rural Communities of District Fatehgarh Sahib, Punjab. Curr Res Nutr Food Sci 2017; 5 (3). doi: http://dx.doi.org/10.12944/CRNFSJ.5.3.23.
Matkoss FE. 2003. Household Poverty and Malnutrition of Children Under Five in the Central African Republic. Yaounde: Institute of Training and Demographic Research (IFORD); p 166.