Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia

Berhanu Teshome Woldeamanuel; Tigist Tigabie Tesfaye

doi:doi:10.11648/j.mma.20190404.11

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Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia

Berhanu Teshome Woldeamanuel, Tigist Tigabie Tesfaye

Published in Mathematical Modelling and Applications (Volume 4, Issue 4)

Received: 12 July 2019 Accepted: 4 August 2019 Published: 30 December 2019

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Abstract

Malnutrition is defined as deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients. Malnutrition among children under five years of age is a chronic problem in most regions of Ethiopia, including the Tigray region. The main objective of this study is to assess the prevalence of under-five child malnutritions and the risk factors attributed to nutritional status of children in Tigray region based on Ethiopian Demographic Health Survey, 2016 datasets. The information collected from 370 children was considered in the study, and variables like maternal socio and demographic characteristics, child demographic characteristics, health and environmental factors were considered as determinants of nutritional status of a child. The study used descriptive statistics and Multivariate multiple linear regression models to identify significant correlates of perinatal mortality. Factor analysis based on principal component analysis was done to reduce the data and components with Eigen value of more than one were considered for further investigation. The descriptive statistics in the study reveals that out of a total of 370 children included in the study 25.4% are underweighted, 30.8% are stunted and 17.3% are wasted. Accordingly of total children malnourished 5.9% are severely underweighted while 19.5% are moderately underweighted, about 12.7% are severely stunted and 18.1% moderately stunted and 6.5% are severely wasted and 10.8% are moderate wasted respectively. From Multivariate multiple linear regressions, breast feeding factors, socioeconomic status of households, health status of child, having medical treatments during pregnancy and child vaccination status have significant impacts on nutritional status of the under five children. The factors duration of breast feeding, number of household members, living children, birth order of a child, current age of child, place of residence, sanitation services like drinking water and availability of toilet, mother educational level and father education level, age of mother, economic level of household, receiving measles, polio and vitamin A in the last six months, and child health status indicators like having diarrhea recently, having fever and cough in the last two months had statistically significant effect on child malnutrition.

Published in	Mathematical Modelling and Applications (Volume 4, Issue 4)
DOI	10.11648/j.mma.20190404.11
Page(s)	49-63
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Wasting, Stunting, Underweight, Factor Analysis, Multivariate Multiple Regressions

References

[1]	WHO, 2010 World Health Organization. Indicators for Assessing Infant and Young Child Feeding Practices Part 3: Country Proﬁles; World Health Organization: Geneva, Switzerland, 2010.
[2]	Park K. (2011) park‘s Textbook of Preventive and social medicine Nutrition and Health 21st Ed. India.
[3]	Cogill, B. (2001). Anthropometric Indicators Measurement Guide: Food and Nutrition Technical Assistance Project. European Journal of Clinical Nutrition 58, 532–540.
[4]	UNICEF- WHO- World Bank Group - Joint Child Malnutrition Estimates 2017 edition.
[5]	WHO, 2010 ‘Better care for newborns crucial for Millennium Development Goal on child deaths’’ World Health Organization, Geneva.
[6]	Ethiopia Central Statistical Agency (CSA): Ethiopia Demographic and Health Survey 2016. Central Statistical Agency, Addis Ababa & ICF International, Calverton, MD.
[7]	Ethiopia Central Statistical Agency (CSA). Population and Housing Census, Ethiopia; 2007.
[8]	Johnson, R. A. and Wichern, W. Dean (2007) Applied Multivariate Statistical Analysis (Third Edition) Prentice-Hall, Inc., Upper Saddle River, NJ.
[9]	Johnson, A. (2007). Applied Multivariate Statistical Analysis (6th ed.), Pearson Prentice Hall, Trademark of Pearson Education, Upper Saddle River, New Jersey 07458.
[10]	Burdenski, T., Texas, A. and University, M. (2000). Evaluating Univariate, Bivariate, and Multivariate Normality Using Graphical and Statistical Procedures, Multiple Linear Regression View Points.
[11]	Gezae B and Nigatu R (2014) Nutritional status of children under five years of age, Ethiopia.
[12]	Dereje D and Ayele T (2015) Nutritional Status of Under- five Children in Hawassa Zuria District, Southern Ethiopia.
[13]	Sommerfelt, A. Elizabeth, and S. Kathryn (1994). Children’s nutritional status. DHS Comparative Studies No. 12. Calverton, Maryland, USA: Macro International Inc.
[14]	World Health Organization (1986). Use and Interpretation and Anthropometric Indicators of Nutritional Status.

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APA Style

Berhanu Teshome Woldeamanuel, Tigist Tigabie Tesfaye. (2019). Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia. Mathematical Modelling and Applications, 4(4), 49-63. https://doi.org/10.11648/j.mma.20190404.11

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ACS Style

Berhanu Teshome Woldeamanuel; Tigist Tigabie Tesfaye. Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia. Math. Model. Appl. 2019, 4(4), 49-63. doi: 10.11648/j.mma.20190404.11

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AMA Style

Berhanu Teshome Woldeamanuel, Tigist Tigabie Tesfaye. Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia. Math Model Appl. 2019;4(4):49-63. doi: 10.11648/j.mma.20190404.11

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@article{10.11648/j.mma.20190404.11,
  author = {Berhanu Teshome Woldeamanuel and Tigist Tigabie Tesfaye},
  title = {Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia},
  journal = {Mathematical Modelling and Applications},
  volume = {4},
  number = {4},
  pages = {49-63},
  doi = {10.11648/j.mma.20190404.11},
  url = {https://doi.org/10.11648/j.mma.20190404.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mma.20190404.11},
  abstract = {Malnutrition is defined as deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients. Malnutrition among children under five years of age is a chronic problem in most regions of Ethiopia, including the Tigray region. The main objective of this study is to assess the prevalence of under-five child malnutritions and the risk factors attributed to nutritional status of children in Tigray region based on Ethiopian Demographic Health Survey, 2016 datasets. The information collected from 370 children was considered in the study, and variables like maternal socio and demographic characteristics, child demographic characteristics, health and environmental factors were considered as determinants of nutritional status of a child. The study used descriptive statistics and Multivariate multiple linear regression models to identify significant correlates of perinatal mortality. Factor analysis based on principal component analysis was done to reduce the data and components with Eigen value of more than one were considered for further investigation. The descriptive statistics in the study reveals that out of a total of 370 children included in the study 25.4% are underweighted, 30.8% are stunted and 17.3% are wasted. Accordingly of total children malnourished 5.9% are severely underweighted while 19.5% are moderately underweighted, about 12.7% are severely stunted and 18.1% moderately stunted and 6.5% are severely wasted and 10.8% are moderate wasted respectively. From Multivariate multiple linear regressions, breast feeding factors, socioeconomic status of households, health status of child, having medical treatments during pregnancy and child vaccination status have significant impacts on nutritional status of the under five children. The factors duration of breast feeding, number of household members, living children, birth order of a child, current age of child, place of residence, sanitation services like drinking water and availability of toilet, mother educational level and father education level, age of mother, economic level of household, receiving measles, polio and vitamin A in the last six months, and child health status indicators like having diarrhea recently, having fever and cough in the last two months had statistically significant effect on child malnutrition.},
 year = {2019}
}

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TY  - JOUR
T1  - Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia
AU  - Berhanu Teshome Woldeamanuel
AU  - Tigist Tigabie Tesfaye
Y1  - 2019/12/30
PY  - 2019
N1  - https://doi.org/10.11648/j.mma.20190404.11
DO  - 10.11648/j.mma.20190404.11
T2  - Mathematical Modelling and Applications
JF  - Mathematical Modelling and Applications
JO  - Mathematical Modelling and Applications
SP  - 49
EP  - 63
PB  - Science Publishing Group
SN  - 2575-1794
UR  - https://doi.org/10.11648/j.mma.20190404.11
AB  - Malnutrition is defined as deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients. Malnutrition among children under five years of age is a chronic problem in most regions of Ethiopia, including the Tigray region. The main objective of this study is to assess the prevalence of under-five child malnutritions and the risk factors attributed to nutritional status of children in Tigray region based on Ethiopian Demographic Health Survey, 2016 datasets. The information collected from 370 children was considered in the study, and variables like maternal socio and demographic characteristics, child demographic characteristics, health and environmental factors were considered as determinants of nutritional status of a child. The study used descriptive statistics and Multivariate multiple linear regression models to identify significant correlates of perinatal mortality. Factor analysis based on principal component analysis was done to reduce the data and components with Eigen value of more than one were considered for further investigation. The descriptive statistics in the study reveals that out of a total of 370 children included in the study 25.4% are underweighted, 30.8% are stunted and 17.3% are wasted. Accordingly of total children malnourished 5.9% are severely underweighted while 19.5% are moderately underweighted, about 12.7% are severely stunted and 18.1% moderately stunted and 6.5% are severely wasted and 10.8% are moderate wasted respectively. From Multivariate multiple linear regressions, breast feeding factors, socioeconomic status of households, health status of child, having medical treatments during pregnancy and child vaccination status have significant impacts on nutritional status of the under five children. The factors duration of breast feeding, number of household members, living children, birth order of a child, current age of child, place of residence, sanitation services like drinking water and availability of toilet, mother educational level and father education level, age of mother, economic level of household, receiving measles, polio and vitamin A in the last six months, and child health status indicators like having diarrhea recently, having fever and cough in the last two months had statistically significant effect on child malnutrition.
VL  - 4
IS  - 4
ER  -

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Author Information

Berhanu Teshome Woldeamanuel

Department of Statistics, College of Natural and Computational Sciences, Mekelle University, Mekelle, Ethiopia
Tigist Tigabie Tesfaye

Department of Statistics, College of Natural and Computational Sciences, Mekelle University, Mekelle, Ethiopia

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APA Style

Berhanu Teshome Woldeamanuel, Tigist Tigabie Tesfaye. (2019). Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia. Mathematical Modelling and Applications, 4(4), 49-63. https://doi.org/10.11648/j.mma.20190404.11

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ACS Style

Berhanu Teshome Woldeamanuel; Tigist Tigabie Tesfaye. Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia. Math. Model. Appl. 2019, 4(4), 49-63. doi: 10.11648/j.mma.20190404.11

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AMA Style

Berhanu Teshome Woldeamanuel, Tigist Tigabie Tesfaye. Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia. Math Model Appl. 2019;4(4):49-63. doi: 10.11648/j.mma.20190404.11

Copy | Download

@article{10.11648/j.mma.20190404.11,
  author = {Berhanu Teshome Woldeamanuel and Tigist Tigabie Tesfaye},
  title = {Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia},
  journal = {Mathematical Modelling and Applications},
  volume = {4},
  number = {4},
  pages = {49-63},
  doi = {10.11648/j.mma.20190404.11},
  url = {https://doi.org/10.11648/j.mma.20190404.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mma.20190404.11},
  abstract = {Malnutrition is defined as deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients. Malnutrition among children under five years of age is a chronic problem in most regions of Ethiopia, including the Tigray region. The main objective of this study is to assess the prevalence of under-five child malnutritions and the risk factors attributed to nutritional status of children in Tigray region based on Ethiopian Demographic Health Survey, 2016 datasets. The information collected from 370 children was considered in the study, and variables like maternal socio and demographic characteristics, child demographic characteristics, health and environmental factors were considered as determinants of nutritional status of a child. The study used descriptive statistics and Multivariate multiple linear regression models to identify significant correlates of perinatal mortality. Factor analysis based on principal component analysis was done to reduce the data and components with Eigen value of more than one were considered for further investigation. The descriptive statistics in the study reveals that out of a total of 370 children included in the study 25.4% are underweighted, 30.8% are stunted and 17.3% are wasted. Accordingly of total children malnourished 5.9% are severely underweighted while 19.5% are moderately underweighted, about 12.7% are severely stunted and 18.1% moderately stunted and 6.5% are severely wasted and 10.8% are moderate wasted respectively. From Multivariate multiple linear regressions, breast feeding factors, socioeconomic status of households, health status of child, having medical treatments during pregnancy and child vaccination status have significant impacts on nutritional status of the under five children. The factors duration of breast feeding, number of household members, living children, birth order of a child, current age of child, place of residence, sanitation services like drinking water and availability of toilet, mother educational level and father education level, age of mother, economic level of household, receiving measles, polio and vitamin A in the last six months, and child health status indicators like having diarrhea recently, having fever and cough in the last two months had statistically significant effect on child malnutrition.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Multivariate Analysis of Correlates of Under Five Children Malnutrition in Tigray Region, Ethiopia
AU  - Berhanu Teshome Woldeamanuel
AU  - Tigist Tigabie Tesfaye
Y1  - 2019/12/30
PY  - 2019
N1  - https://doi.org/10.11648/j.mma.20190404.11
DO  - 10.11648/j.mma.20190404.11
T2  - Mathematical Modelling and Applications
JF  - Mathematical Modelling and Applications
JO  - Mathematical Modelling and Applications
SP  - 49
EP  - 63
PB  - Science Publishing Group
SN  - 2575-1794
UR  - https://doi.org/10.11648/j.mma.20190404.11
AB  - Malnutrition is defined as deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients. Malnutrition among children under five years of age is a chronic problem in most regions of Ethiopia, including the Tigray region. The main objective of this study is to assess the prevalence of under-five child malnutritions and the risk factors attributed to nutritional status of children in Tigray region based on Ethiopian Demographic Health Survey, 2016 datasets. The information collected from 370 children was considered in the study, and variables like maternal socio and demographic characteristics, child demographic characteristics, health and environmental factors were considered as determinants of nutritional status of a child. The study used descriptive statistics and Multivariate multiple linear regression models to identify significant correlates of perinatal mortality. Factor analysis based on principal component analysis was done to reduce the data and components with Eigen value of more than one were considered for further investigation. The descriptive statistics in the study reveals that out of a total of 370 children included in the study 25.4% are underweighted, 30.8% are stunted and 17.3% are wasted. Accordingly of total children malnourished 5.9% are severely underweighted while 19.5% are moderately underweighted, about 12.7% are severely stunted and 18.1% moderately stunted and 6.5% are severely wasted and 10.8% are moderate wasted respectively. From Multivariate multiple linear regressions, breast feeding factors, socioeconomic status of households, health status of child, having medical treatments during pregnancy and child vaccination status have significant impacts on nutritional status of the under five children. The factors duration of breast feeding, number of household members, living children, birth order of a child, current age of child, place of residence, sanitation services like drinking water and availability of toilet, mother educational level and father education level, age of mother, economic level of household, receiving measles, polio and vitamin A in the last six months, and child health status indicators like having diarrhea recently, having fever and cough in the last two months had statistically significant effect on child malnutrition.
VL  - 4
IS  - 4
ER  -

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