Affiliation:
1. Department of Nutrition and Dietetics, Public Health Faculty, Institute of Health Jimma University Jimma Ethiopia
2. Department of Epidemiology, Public Health Faculty, Institute of Health Jimma University Jimma Ethiopia
Abstract
AbstractUndernutrition in childhood is a crucial public health issue in Ethiopia. Yet, more than an assessment of undernutrition using conventional index is needed to conclude the overall prevalence of undernutrition among children aged 6–23 months. Therefore, this study aimed to assess the prevalence of undernutrition using composite index of anthropometric failure and its associated factors among children aged 6–23 months in Southwest Ethiopia. A community‐based cross‐sectional study was employed among 440 mother–child pairs selected using a two‐stage cluster sampling method in the rural Kersa district, Jimma Zone, Southwest Ethiopia. A pretested structured questionnaire was used to collect data. Multivariable logistic regression analysis was employed to identify factors associated with undernutrition. Variables with a p‐value of <.05 were considered statistically significant. The proportion of undernutrition using composite indexes of anthropometric failure was 57.3% among children aged 6–23 months. Children being male [AOR = 1.55; 95% CI (1.013, 2.373)], not met minimum acceptable diet (MAD) [AOR = 2.104; 95% CI (1.05, 4.214)], larger family size [AOR = 1.699; 95% CI (1.0791, 2.675)], having comorbidity [AOR = 3.31; 95% CI (2.068, 5.327)], and being in food insecurity household [AOR = 3.12; 95% CI (2.0, 4.868)] were more likely to be in anthropometric failure, whereas children from the mother who attended higher and above schooling [AOR = 0.244; 95% CI (0.093, 0.641)] were less likely to be in anthropometric failure. More than half of children aged 6–23 months were experienced anthropometric failure. Male children, those who have not received the MAD, come from larger families, have comorbidities, live in food‐insecure households, and have mothers with higher education levels were found to be at higher risk of anthropometric failure.