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Association between malnutrition and diagnosed drug susceptible tuberculosis amongst children aged zero to fifteen years old in Swaziland

Background: In 2015, Swaziland had a tuberculosis (TB) prevalence of 733 per 100 000
population and HIV prevalence of 27.5%. Baylor College of Medicine Children’s
Foundation Swaziland (BCMCFSD) reported 83% prevalence of malnutrition amongst
children in 2014. No study has described the association between malnutrition and
childhood TB in Swaziland. Purpose: To examine the association between malnutrition and diagnosed drug susceptible tuberculosis (TB) amongst children aged zero to fifteen years old in Swaziland. Method: The Mixed Method approach was used to conduct the study. A total of 306
children’s electronic records were extracted, then 12 children’s caregivers interviewed.
Extracted data were cleaned and exported to an excel database, then analysed using
STATA version 14 by a statistician. Qualitative data were analysed using NVIVO version
11 post the analysis of the quantitative data. Triangulation of quantitative and qualitative
results was conducted to obtain a comprehensive picture of the study. Validity, reliability,
trustworthiness and adherence to ethical considerations were maintained.
Results: History of previous TB treatment, HIV status and age were strongly associated
with poor TB outcome (<0.001) and severe malnutrition (<0.002). Sex, regions and TB
type were statistically insignificant. Nutritional situation at home and nutritional support
from the health care facility, emerged as themes. Conclusion: TB and Malnutrition are significant predictors of children mortality, thus the children caregivers need consistent health education and support. / Health Studies / M. P. H

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/25634
Date11 1900
CreatorsTsabedze, Bhekisisa Senzo
ContributorsHabedi, D.S.K., Manahlodi, T.M.
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeDissertation
Format1 electronic resource (ix, 104 leaves) : illustrations, graphs, application/pdf

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