alexa Risk Factors for Undernutrition in Children under Five Years Old: Evidence from the 2011 Ghana Multiple Indicator Cluster Survey
ISSN 2155-6113

Journal of AIDS & Clinical Research
Open Access

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Research Article

Risk Factors for Undernutrition in Children under Five Years Old: Evidence from the 2011 Ghana Multiple Indicator Cluster Survey

Ronald Welaga Miah1, Paschal Awingura Apanga2* and Zakia Abdul-Haq3

1Asante Akim North District Health Directorate, Ghana Health Service, Ashanti Region, Ghana

2Talensi District Hospital, Ghana Health Service, Talensi, Ghana

3School of Health and Related Research (ScHARR), University of Sheffield, UK

*Corresponding Author:
Paschal Awingura Apanga
Talensi District Hospital, Ghana Health Service, Talensi, Ghana
Tel: +233249667938
E-mail: [email protected]

Received date: May 24, 2016; Accepted date: June 02, 2016; Published date: June 09, 2016

Citation: Miah RW, Apanga PA, Abdul-Haq Z (2016) Risk Factors for Undernutrition in Children under Five Years Old: Evidence from the 2011 Ghana Multiple Indicator Cluster Survey. J AIDS Clin Res 7:585. doi:10.4172/2155-6113.1000585

Copyright: © 2016 Miah RW, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

 

Abstract

Background: Undernutrition is a major public health problem affecting the physical and mental development of infants and young children in Ghana. Inadequate dietary intakes and the prevalence of infections have largely been implicated. This study was conducted to assess the risk factors for Undernutrition in Children under-five years old in Ghana.

Methods: This was a secondary data analysis of the 2011 Multiple Indicator Cluster Survey which included anthropometric measurements of children under five years old. Using the modified United Nations Children's Emergency Fund conceptual framework for undernutrition, the variables of interest were extracted and classified into biological and non-biological variables. Bivariate and logistic regression analysis was conducted using SPSS 21 to identify the risk factors for stunting, underweight and wasting.

Results: The survey recruited 7,550 children, 22.7% were stunted, 13.4% were underweight and 6.2% were wasted. Child age, gender, reported size at child birth, breastfeeding status, having diarrhoea or fever in the preceding two weeks, number of children in the household, child health insurance status, household wealth, and ethnicity and religion of household health and region were risk factors for undernutrition. However, only child age and sex were risk factors for all three indicators (stunting, underweight and wasting).

Conclusion: Undernutrition in Ghana is a multi-sectorial problem largely influenced by the social determinants of health and health inequalities. To reduce the prevalence of undernutrition in Ghana, strategies and interventions should be targeted at building the capacity of health staff and strengthening existing systems. This should include intensifying public health messages on child care, integration and collaboration with key stakeholders in addressing socio-economic inequalities of households and communities as well as the regional discrepancies.

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