Browsing by Author "Ndayikeje, Evelyne"

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    Déterminants de la malnutrition aiguë sévère chez les enfants de 6 à 59 mois dans le District Sanitaire Kabezi, Province Bujumbura au Burundi
    (UB, EANSI, 2025-05) Ndayikeje, Evelyne; Sous la direction de : Dr Emmanuel Banzubaze, PhD
    Introduction: SAM in children aged 6 to 59 months is a major public health concern and a real obstacle to the country's development. The Kabezi Health District has a prevalence of 1.8% of SAM, which is the closest to the emergency threshold of 2% set by the WHO. These data require special attention and urgent action to combat this malnutrition. Our study aimed to identify the determinants of SAM in children aged 6 to 59 months in the Kabezi Health District with a view to improving its prevention. Methodology: A matched case-control study was conducted from November 1, 2024, to March 31, 2025, on a sample of 67 case pairs and 67 control pairs, each consisting of a child and their mother/guardian. The sampling of case pairs admitted into the study for MAS reasons in the months of November 1 and December 31, 2024, in line with the inclusion criteria and non-inclusion criteria, were enrolled. After analyzing the collected data, the variables whose p < 20% were retained in the multivariate analysis and only the variables whose p < 0.05 were confirmed as significantly associated with MAS in children aged 6 to 59 in the Kabezi Health District. Results : The results of our study showed us that the determinants significantly associated with the onset of SAM in children aged 6 to 59 months are: being raised by someone other than their mother (OR=12.99 95% CI = [1.46-1115.01]); the mother's education level (OR=4.06 95% CI = [1.58-10.41]); the number of people per household exceeding 5 (OR=4.471 95% CI = [1.82-10.93]); the number of children under 5 years per household (OR=5.36 95% CI = [1.31-21.82]); insufficient household income (OR=11.12 95% CI = [2.51-49.10]); late breastfeeding of the newborn (OR=4.62 95% CI = [1.83-11.64]); number of times the child ate yesterday (OR=2.662 95% CI = [1.11-6.35]); Dietary diversity (OR=4.78 95% CI = [1.29-17.76]) absence of decision-making in the household (OR=6.185 95% CI = [1.71-22.34]). The ROC curve indicated that the probability of the model predicting the occurrence of SAM is 90.15%. Conclusion : Our study identified the determinants of SAM that need to be addressed to prevent an increase in the SAM rate among children aged 6 to 59 months in the Kabezi Health District.