Heliyon (Nov 2022)
Under-nutrition and its determinants among school-aged children in northwest Ethiopia
Abstract
Background: Malnutrition among children has lifelong implications, its outcomes not only cover the whole life but also transfer from one generation to another generation. Most studies conducted before focused on undernutrition in pregnant mothers and children less than 5 years of age, whereas school-age children are often omitted from health and nutrition surveys or surveillance. In Northwest Ethiopia, particularly in the study area, the community levels nutritional status of school-age is not well studied and documented. Therefore, this study aimed to assess the prevalence and determinants of the under-nutritional status of school-age children in Gondar Zuria District, Northwest Ethiopia. Methods: A community-based cross-sectional study design was employed with 364 respondents from January to April 2020. Data entered using Epi Data software version 3.1. Standard deviation scores were obtained by the world health organization Anthro Plus software to determine the nutritional status of children, and further analysis was done by using STATA version 14 software. Adjusted odds ratio with its corresponding 95 % confidence interval was used to declare statistically significant variables. Results: The prevalence of overall under-nutrition was 71.98% (95%, CI: 67%–76%) from which, 43.13% (95%, CI: 38%–48%) were stunted, 40.93% (95%, CI: 35%–46%) were under-weight, and 35.44% (95%, CI: 30%–40%) were wasted. Child age [AOR = 0.30, 95% CI (0.13–0.68)], food insecurity [AOR = 2.24, 95% CI (1.03–4.83)], good knowledge of mother/care giver [AOR = 0.40, 95% CI (0.17–0.92)], having larger family size (Tzioumis and Adair, 2014; Wolde et al., 2015; Mohammed et al., 2019) [6-8] [AOR = 2.92, 95% CI (1.29–6.58)], and unprotected drinking water sources [AOR = 2.84, 95% CI (1.00–8.06)] were the predictors of under-nutrition. Conclusion: According to the world health organization cut-offs, the prevalence of overall under-nutrition in the study area was very high. Child age, food insecurity, knowledge of mother/caregiver, having a larger family size, and unprotected drinking water sources were the predictors of under-nutrition. The district offices should give attention to the improvement of the food security status of the community, and give priority to the availability and accessibility of drinking water sources, particularly pipe water sources. Special attention to older age groups of children is important to control the prevalence of under-nutrition.
