Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.695884
Title: Modelling malnutrition among under-five-year-old children in Ghana
Author: Aheto, Justice Moses Kwaku
ISNI:       0000 0004 5991 4819
Awarding Body: Lancaster University
Current Institution: Lancaster University
Date of Award: 2016
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Abstract:
Childhood malnutrition is a real-life and a chronic problem and one of the global major public health challenges, especially in developing countries like Ghana. Several attempts from governmental and non-governmental organizations to address the problem have fallen below expectation. It is recognised that the existing studies and nutrition intervention strategies are inadequate and hence not working to expectation. This thesis examines childhood malnutrition in Ghana using appropriate and advanced statistical methods to help improve the understanding of childhood nutrition and to better inform targeted public health nutrition interventions in the country. In this thesis, we provided solutions to five main problems: (1) investigated the major risk factors for malnutrition; (2) investigated household level variations in nutritional outcomes of children; (3) explored, modelled and illustrated spatial variations in the risk of childhood malnutrition over Ghana; (4) explored, modelled, forecasted and illustrated spatio-temporal variations in the risk of childhood malnutrition over Ghana; (5) jointly modelled weight-for-age Z-score (WAZ) and height-for-age Z-score (HAZ) to improve accuracy and reliability in estimates. To answer the first and the second problems, multilevel models were considered. The results showed strong residual household-level variations in under-fives nutritional outcomes and that child’s age, type of birth, child’s experience of diarrhoeal episodes, size of child at birth and months of breast feeding, mother’s education, current age, BMI and national health insurance status, household toilet facility ownership and wealth status were predictive of under-fives nutrition. To answer the third problem, spatial models were employed. The study found substantial spatial variation in the predicted risk of under-fives malnutrition over Ghana and also showed that Normalised Difference Vegetation Index (a marker for vegetation cover), elevation and rural/urban residence status were predictive of under-fives nutritional outcomes. The study considered spatio-temporal models to answer the fourth problem. The results showed substantial spatio-temporal variation in the risk of under-fives chronic malnutrition over Ghana. Our forecasted map of chronic malnutrition showed substantial spatial variation with children from parts of Northern and Western regions being at the highest risk of malnutrition compared to children from other regions of the country. In our forecast maps, the effect of increasing the level of maternal education was shown to reduce the prevalence of malnutrition throughout Ghana. To answer the fifth problem, multivariate response multilevel models were considered. The study found that the residual household effects for WAZ and HAZ are very strongly correlated and that the correlation was stronger for the residual household effects than the residual child effects. This also suggests that after adjusting for risk factors in our model, it is the same as-yet unidentified factors at household level that influence both WAZ and HAZ. The results also showed that there was more accuracy and reliability in estimates from the multivariate response multilevel model over separate multilevel models and showed that the effect of some important risk factors differed substantially across WAZ and HAZ. The findings from this thesis are intended to help policymakers responsible for the health and nutrition of children to design efficient public health policies and targeted nutrition interventions amidst scarce public health resources available in Ghana to better understand, target and to reduce childhood malnutrition prevalence closer to the level expected in a healthy, well-fed population of children under-fives.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.695884  DOI: Not available
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