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      Associated risk factors of underweight among under-five children in Ethiopia using multilevel ordinal logistic regression model

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          Abstract

          Background

          Malnutrition is associated with both under nutrition and over nutrition which causes the body to get improper amount of nutrients to maintain tissues and organ function. Under nutrition is the result of insufficient intake of food, poor utilization of nutrients due to illnesses, or a combination of these factors. The purpose of this study was to identify associated risk factors and assess the variation of underweight among under-five children of different regions in Ethiopia.

          Methods

          Ethiopian Demography and Health Survey (EDHS-2016) weight-to-age data for under-five children is used. In order to achieve the objective of this study; descriptive, single level and multilevel ordinal logistic regression analysis were used.

          Results

          From a total of 8935 children about 8.1% were severely underweight, 17.1% were moderately underweight and 74.8% were normal. The test of heterogeneity suggested that underweight varies among region and multilevel ordinal model fit data better than single level ordinal model.

          Conclusion

          Educational level of mother, religion, birth order, type of birth, sex of child, mother body mass index, birth size of child, existence of diarrhea for last two weeks before survey, existence of fever for last two weeks before survey, duration of breast feeding, age child and wealth index had significant effect on underweight among under-five children in Ethiopia. The finding revealed that among the fitted multilevel partial proportional odds model, the random intercept model with fixed coefficients is appropriate to assess the risk factors of underweight among under-five children in Ethiopia. The findings of this study have important policy implications. The government should work closely with both the private sector and civil society to teach women to have sufficient knowledge, awareness and mechanisms of improving under-five underweight for children's wellbeing.

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          Most cited references40

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          Stunting, Wasting and Underweight in Sub-Saharan Africa: A Systematic Review

          Introduction: Child undernutrition is a major public health problem. One third of all undernourished children globally reside in Sub-Saharan Africa (SSA). The aim of this study was to systematically review studies to determine the factors associated with stunting, wasting and underweight in SSA and contribute to the existing body of evidence needed for the formulation of effective interventions. Methods: This systematic review was conducted using the 2015 Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines. Five computerized bibliographic databases were searched: Scopus, PubMed, PsycINFO, CINAHL and Embase. The included studies were rated using eight quality-appraisal criteria derived from the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) checklist: sample size, sampling methodology, response rate, outcome measures, statistical analyses, control for confounding, study limitation, and ethical consideration. Results: Of a total of 2810 articles retrieved from the five databases, 49 studies met our inclusion criteria. The most consistent factors associated with childhood stunting, wasting and underweight in SSA were: low mother’s education, increasing child’s age, sex of child (male), wealth index/SES (poor household), prolonged duration of breastfeeding (>12 months), low birth weight, mother’s age (<20 years), source of drinking water (unimproved), low mother’s BMI (<18.5), birth size (small), diarrhoeal episode, low father’s education and place of residence (rural). Conclusions: The factors that predispose a child to undernutrition are multisectoral. To yield a sustainable improvement in child nutrition in SSA, a holistic multi-strategy community-based approach is needed that targets the factors associated with undernutrition, thereby setting the region on the path to achieving the WHO global nutrition target by 2025.
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            Different forms of malnutrition among under five children in Bangladesh: a cross sectional study on prevalence and determinants

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              Prevalence of Malnutrition and Associated Factors among Children in Rural Ethiopia

              Background Child malnutrition continues to be the leading public health problem in developing countries. In Ethiopia, malnutrition is a leading cause of child illness and death. Recently the composite index of anthropometric failure (CIAF) has been implemented to measure the prevalence of malnutrition. This index presents a more complete picture compared with the previous conventional indices. In this study, CIAF was used to determine the prevalence of malnutrition among children aged 0–59 months in rural Ethiopia. Methods Data was extracted from the 2014 Ethiopian Mini Demographic and Health Survey (EMDHS) for this study. A total of 3095 children were included in the analysis. The composite index of anthropometric failure (CIAF) was used to measure the nutritional status of the children. Logistic regression was fitted, to identify factors associated with malnutrition among children in rural Ethiopia, using STATA 13. Result The prevalence of malnutrition among rural children in Ethiopia was 48.5%. Age of the children, preceding birth interval, educated status of mother, wealth status, and region were factors independently associated with nutritional status of children in rural Ethiopia. Conclusion The prevalence of malnutrition among children in rural Ethiopia was high. A child older than 12 months, having uneducated mother, living in a household with poor wealth status, born with short birth interval, and living in some region of the country are associated with increased odds of being malnourished.
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                Author and article information

                Journal
                Afr Health Sci
                Afr Health Sci
                African Health Sciences
                Makerere Medical School (Kampala, Uganda )
                1680-6905
                1729-0503
                March 2021
                : 21
                : 1
                : 362-372
                Affiliations
                [1 ] Department of Statistics, Mekdela Amba University, Tulu Awuliya, Ethiopia
                [2 ] Department of Statistics, Bahir Dar University, Bahir Dar, Ethiopia
                Author notes
                Corresponding author: Denekew Bitew Belay, Department of Statistics, Bahir Dar University, Bahir Dar, Ethiopia. Denekew.t.h@ 123456gmail.com , denekewb2020@ 123456gmail.com
                Article
                jAFHS.v21.i1.pg362
                10.4314/ahs.v21i1.46
                8356581
                34394318
                6c8e455e-c653-4fd8-8d78-f7ac7cd51ea6
                © 2021 Birhan NA et al.

                Licensee African Health Sciences. This is an Open Access article distributed under the terms of the Creative commons Attribution License ( https://creativecommons.org/licenses/BY/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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                underweight,partial proportional odds model,multilevel partial proportional odds model,under-five children

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