[
    {
        "id": "osp-9413",
        "type": "article-journal",
        "title": "Socioeconomic Inequality in Child Malnutrition in Sudan: Results from the Multiple Indicator Cluster Survey (2014)",
        "author": [
            {
                "family": "Ahmed",
                "given": "Huda Mohamed Mukhtar"
            },
            {
                "family": "DIGNA",
                "given": "Mutaz Fikri Mohamed Osman"
            }
        ],
        "URL": "https://omanscience.com/en/articles/socioeconomic-inequality-in-child-malnutrition-in-sudan-results-from-the-multiple-indicator-cluster-survey-2014",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2025
                ]
            ]
        },
        "container-title": "Journal of Arts and Social Sciences",
        "volume": "16",
        "issue": "2",
        "page": "11",
        "DOI": "10.53542/2522-2279.1433",
        "publisher": "Sultan Qaboos University",
        "ISSN": "2312-1270",
        "abstract": "This study investigates the association between nutrition indicators such as height/weight-for-age and weight-for-height with socioeconomic variables in Sudan, using the Multiple Indicator Cluster Survey data, 2014. These variables include Household's wealth quintiles, mother's highest education level, head of household's highest level of education, place of residence, age and gender of the child, region, and access sanitation facilities A concentration index and curve and a probit model used were to measure the socioeconomic inequality in under-five children malnutrition. The findings showed that the child's age (P = 0.000), mother's education of secondary and above (P = 0.046), and households’ richest quintile (P = 0.020), significantly affect the under-five children stunting. The household's head education level of primary was significant at 10% (P = 0.066). Poor people shared significantly and disproportionately child stunting, wasting, and underweight (P-value of concentration index = 0.000 for each). The main contributors to the total socioeconomic inequality were household wealth, mother's education, and head of household education. Children born to poor people, uneducated mothers, and those who live in remote areas are more likely to be malnourished."
    }
]