RESEARCH ARTICLE


Socioeconomic and Demographic Determinants of Body Mass Index in Sudan: A Predictive Model



Ahmed Abdallah1, *, Mohammed Mohammed1, Dawit Ayele2
1 College of Business Administration, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
2 Institute of Human Virology, University of Maryland School of Medicine, University of Maryland Baltimore, Baltimore, Maryland, USA


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Creative Commons License
© 2021 Abdallah et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the College of Business Administration, Prince Sattam Bin Abdulaziz University, Saudi Arabia.
E-mail: a.abdallah@psau.edu.sa


Abstract

Background:

This paper aimed to determine the socioeconomic and demographic determinants related to Body Mass Index (BMI) for children under five years in Sudan. The objective of the study was to identify the factors of BMI for under-five children.

Methods:

This study used the Sudan Multiple Indicator Cluster Survey (MICS) conducted in the year 2014. The multinomial logistic regression model was adopted.

Results:

Results revealed that the prevalence of underweight infants under five years was 86.3% in females and 85.3% in males, while the proportion of the normal weight of infants under five years of age for males was slightly higher than females; there was a correlation amid geographic determinants, state, and BMI status. Also, there was a significant association between the mother’s education and body mass index status and the wealth index and body mass index status. The variables place of residence and sex did not show a statistically significant relationship with body mass index status for children under five years of age in Sudan.

Conclusion:

The risk factors significantly associated with body mass were the state, whether the child had ever been breastfed, sex, mother’s education, wealth index, and age in the month.

Keywords: BMI, Malnutrition, Proportional odds model, Multinomial, Socioeconomic and demographic determinants, MICS.