Minimum acceptable diet and its predictors among children aged 6‐23 months in Ethiopia. A multilevel cloglog regression analysis

Bibliographic Data

ID15535686
AuthorsTegene Atamenta Kitaw (0000-0002-7199-1249, Woldia University, corresponding author), Befkad Derese Tilahun (0009-0006-6205-1139, Woldia University), Biruk Beletew Abate (0000-0003-0833-2504, Woldia University), Ribka Nigatu Haile (0000-0003-1193-5920, Woldia University)
Year2024
Volume20
Issue3
Pagese13647-e13647
Publication date2024-03-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMaternal and Child Nutrition (JOURNAL)
Journal identifiersISSN: 1740-8695 • E-ISSN: 1740-8709
PublisherWiley (PUBLISHER • GB)
DOI10.1111/mcn.13647
PMID38530126
OpenAlexW4393200687
LanguageEN
Citations received3
References cited35

Despite significant progress made previously and the recognized health benefits of optimal feeding practices, ensuring a minimum acceptable diet in developing countries like Ethiopia remains a formidable challenge. Additionally, there is a scarcity of data in this area. Therefore, our study aims to identify predictors of a minimum acceptable diet using a powerful tool called complementary log-log regression analysis. Thus, it contributes to accelerating the pathway of ending child undernutrition thereby promoting optimal child health. A multilevel analysis was conducted among a weighted sample of 1427 children aged 6-23 months using the 2019 Ethiopian Demographic Health Survey (EDHS). The EDHS sample was stratified and selected in two stages. A minimum acceptable diet is defined as a composite of children fed with both minimum dietary diversity and minimum meal frequency. Data extraction took place between August 1 and 30, 2023. We used STATA software version 17 for data analysis. A complementary log-log regression model was fitted to identify significant predictors of the minimum acceptable diet. A p-value of ≤0.05 was used to declare statistically significant predictors. Only 10.44% (95CI: 8.90-12.15) of the children meet the minimum acceptable diet. Child aged (18-23 month) (AOR = 1.78, 95CI:1.14-2.78)], mother's educational level (secondary and above education) (AOR = 279,95CI: 1.51-5.15), number of children three and above [(AOR = 0.78,95CI: 0.53-0.94], institutional delivery [AOR = 1.77,95CI: 1.11-3.11], having postnatal-check-up [AOR = 2.33,95CI: 1.59-3.41] and high community poverty level (AOR = 0.49,95CI: 0.29-0.85) were found to be predictors of minimum acceptable diet. In Ethiopia, only one in ten children achieve a minimum acceptable diet. Which is lower than the global report findings (16%). Enhancing maternal education programs and promoting family planning strategies to reduce household size are essential. Besides, encouraging institutional deliveries and postnatal check-ups are also recommended. It is necessary to implement targeted interventions for poverty reduction in communities to ensure that families can afford nutritious diets for their children

Developing country · Economic growth · Environmental health · Linear regression · Malnutrition · Multilevel model · Regression analysis · Sample (material · Sample size determination · Statistics · Child Nutrition and Water Access · Demography · Food Security and Health in Diverse Populations · Medicine · Obesity, Physical Activity, Diet

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