Anemia is characterized as a condition where there is a deficient number of hematocrit, hemoglobin, or red cells in the human body. This condition affects most youngsters under five years old and pregnant women. The fundamental goal of this paper is to investigate anemia, recognize its determinants, and propose critical proposals to achieve 2030 Sustainable Development Goal with a focus on Senegal, Malawi, and Angola. This research utilized 2016 nationally representative information from Senegal, Malawi, and Angola, which involved collecting data on the demographic and health of the populaces. The Demographic and Health Survey information from Senegal, Malawi, and Angola was then merged to create a pooled sample. This statistical technique enables to generalize and compare the results. A generalized linear mixed model was utilized to decide the factors correlated with anemia among youngsters under five years in Senegal, Malawi, and Angola. The analysis was performed in SPSS and SAS software. A generalized linear mixed model results showed that, compared to youngsters aged less than 12 months, youngsters in the age interval 13–23, 24–35, 36–47, and 48–59 months are more likely to be affected by anemia (OR = 1.419, 2.282, 3.174 and 4.874 respectively). In this study, seven factors were included in the final model. However, only five were found to be significant in explaining anemia at the 5% level of significance. The generalized linear mixed model identified youngster’s age, gender, mother’s level of schooling, wealth status, and nutritional status as determinants of anemia among youngsters under five years in Senegal, Malawi, and Angola.
Introduction: Malnutrition is one of the leading causes of under-five mortality globally. With the estimated target of reducing mortality in this age group by 2030, understanding and determining the factors contributing to child mortality are critical. Methods: The current study used Demographic Health Survey (DHS) data from Angola (2016), Malawi (2016) and Senegal (2016). The DHS data for under-five children from these three countries were then combined in this study to create a pooled sample. This method allows for a comparison and generalization of the results across countries and has also been used in previous studies. The dependent variables (severely nourished, moderately nourished and nourished) were developed by using calculated Weight-for-age Z-scores (WAZ) from DHS data. The exploratory analysis was conducted by performing a gamma measure and chi-square test of independence to evaluate the association between malnutrition status and covariates. Results & Discussion: Based on the generalized linear mixed model, the type of residence, sex of the child, age of the child, mother’s level of education, birth interval, wealth index and the birth order are correlated to malnutrition in Angola, Malawi and Senegal. Children who are from rural communities, poor households, with a mother having attained primary education, are female and are between the age of 24 and 59 months are associated with malnutrition. The results of the study suggest that children from these three countries who reside with mothers who have attained only primary education are at the highest risk of being affected by malnutrition. Conclusion: The results show the necessity of collaboration among the three countries in order to achieve the Sustainable Development Goal (SDG) target.
Notwithstanding the interventions implemented to address child mortality, anaemia and malnutrition remain a concern for the future of developing countries. Anaemia and malnutrition contribute a high proportion of the causes of childhood morbidity in Africa. The objective of this study is to jointly model anaemia and malnutrition using a copula geo-additive model. This study is a secondary data analysis where a Demographic and Health Survey of 2016 data from Angola, Malawi, and Senegal was used. The descriptive analysis was conducted in SPSS and the copula geo-additive model analysis was performed in R 3.63. The results showed that female children are notably associated with anaemia and a malnourished status (female estimate = 0.144, p-value = 0.027 for anaemia; female estimate = −0.105, p-value = 000 for malnutrition). The probability of each result decreased with an improvement in the mother’s level of schooling. This indicates an urgent requirement for interventions to be implemented by policymakers in order to manage children’s mortality rates. These interventions can include the introduction of educational programs for older adults, children’s dietary programs, and income generation initiatives (starting a small business, etc.). It is hoped that this paper can foster the utilization of copula methodology in this field of science with the use of cross-sectional data.
Background In Sub-Saharan Africa, malnutrition and anemia contribute a higher percentage to infant morbidity. Malnutrition is known as the dearth of proper nutrition in the human body and it is an important risk factor for the burden of diseases. The lack of hemoglobin and red cells in the human body is known as anemia, and it is divided into three groups. This paper aims to identify the determinants of anemia and malnutrition in Angola, Senegal and Malawi. The novelty of this study includes creating a sample that will be jointly modelled to identify determinants of anemia and malnutrition. Methods This paper used a 2016 information from Angola, Senegal and Malawi Demographic and Health Survey to conduct a secondary data analysis. To create a pool sample for the analysis, the Angola, Malawi and Senegal Demographic and Health Survey data were combined. The joint model under the generalized linear mixed model was employed to identify the determinants of malnourishment and anemia among children under five years in Angola, Senegal, and Malawi. Results The analysis of the data was performed in SAS 9.4. The results of the covariance components indicated a positive correlation between nutritional status and anemia status. Joint generalized linear mixed model results revealed that children under five years residing with a mother that has attained a primary level of education are 2.995 times more likely to be malnourished when compared to children under five years residing with a mother that have attained a higher level of education. Children under five years residing in the rural setting of Angola, Senegal, and Malawi are 1.473 times more likely to be malnourished when compared to children under five years residing in the urban setting of Angola, Senegal and Malawi. Conclusion Based on the joint generalized linear mixed model results, type of residence, sex of the child, age of the child, mother's level of education, birth interval and wealth index are the correlates of malnourishment and anemia in Angola, Senegal and Malawi. There is a greater need for partnership and collaboration among the studied countries to achieve the SGD target.
Background: Anemia is defined as a condition where there is an insufficient quantity of homoglobin, hematocrit or red cell in the human body [1, 2]. Unicef (2017) report urged all countries to reduce under ve years mortality by 2030, thereof there is a need of understanding and determining factors contributing to child mortality. The significance of this study underpins the improvement in collaboration among the three countries and recommend to government the area to invest in order to meet the SDG target.Method: The current study used demographic health survey data from Angola (2016), Malawi (2016) and Senegal (2016). Using World Health Organisation (WHO) classification guidelines of anemia, the ordinal dependent variable was developed. The three categories of anemia condition used in this study are Mild (10.0 - 10.9 g/dl), Moderate (7.0 - 9.9 g/dl) and severe (<7 g/dl). Results: Gamma measure and chi-square test of independence was conducted to explore the association between anemia status and factors. The score test and Brant test were used to test the proportional odds model assumption and it was satisfied.Results from ordinal survey logistic regression model found place of residence, age of the child, wealth index, mother level of education and nutritional status to be significant factors associated with anemic condition of under five year children in all three countries. Discussion: The health institutions of Angola, Malawi and Senegal need to monitor under five years children that are suffering from malnutrition condition. The study showed that there is a high chance for under five years children to suffer from both malnutrition and anemia condition. This finding is similar to the results of the study that was conducted in Bangladesh and Burma [27, 28].Conclusion: The study identifieed place of residence, age of the child, wealth index, mother level of education and nutritional status as common factors associated with anemia in Angola, Malawi and Senegal. This nding is in agreement with that of the studies conducted by [27, 26, 36]. The results showed the necessity of collaboration between Angola, Malawi and Senegal in order to achieve the SGD target.
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