Abstract
BACKGROUND: Association between poor infant and young child feeding (IYCF) practices and malnutrition in infants and young children (IYC) is well established. Furthermore, appropriate IYCF practices are important during the first 1,000 days of life to ensure optimal health and development. Understanding IYCF practices and associated socioeconomic and demographic factors will inform interventions to achieve the UN 2030 Sustainable Development Goal (SDG) target to end malnutrition in all forms. OBJECTIVE: This study estimates the prevalence of Minimum Dietary Diversity (MDD), Minimum Meal Frequency (MMF), and Minimum Acceptable Diet (MAD), and examines their association with socioeconomic and demographic characteristics among children aged 6-23 months in Ghana. METHOD: We used data from the Ghana Multiple Indicator Cluster Survey 6 (GMICS6) conducted in 2017-18. Participants were recruited through multi-stage stratified cluster sampling. Information on caregiver's self-reported breastfeeding status and 24-hour dietary recall of foods IYC were fed with were collected through face-to-face interviews. We estimated the prevalence of MDD, MMF and MAD with a 95% confidence interval (CI). We investigated the socioeconomic and demographic determinants of MDD, MMF and MAD using univariate and multivariable logistic regression analyses. FINDINGS: Among 2,585 IYC aged 6-23 months, MDD, MMF and MAD were estimated as 25.46%, 32.82% and 11.72% respectively. Age of the IYC, educational status of the mothers/primary caregivers, and resident regions were found to have positive associations with MDD, MMF and MAD. In addition, the richest household wealth index and urban area of residence were found to have significant positive associations with MDD. CONCLUSION: We report a low prevalence of MDD, MMF and MAD. Efforts to improve IYCF practices among children aged 6-23 months in Ghana should focus on multi-sectorial approaches including increasing access to formal education, income-generating activities and addressing regional and rural-urban inequity.