<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14(3)</volume><submitter>Osei Bonsu E</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Iron deficiency is a major public health problem that affects the physical and cognitive development of children under 5 years of age (under-5 children) in sub-Saharan Africa (SSA). However, the factors associated with the limited consumption of iron-rich foods in the region are poorly understood.&lt;h4>Objective&lt;/h4>This study examined the prevalence and determinants of iron-rich food deficiency among under-5 children in 26 SSA countries.&lt;h4>Design&lt;/h4>This nationally representative quantitative study employed pooled data from Demographic and Health Surveys conducted between 2010 and 2019.&lt;h4>Methods&lt;/h4>Representative samples comprising 296 850 under-5 children from the various countries were used. Bivariate and multivariate logistic regression models were used to determine the associations between the lack of iron-rich food uptake and various sociodemographic factors.&lt;h4>Result&lt;/h4>The overall prevalence of iron-rich food deficiency among the children in the entire sample was 56.75%. The prevalence of iron-rich food deficiency varied widely across the 26 countries, ranging from 42.76% in Congo Democratic Republic to 77.50% in Guinea. Maternal education, particularly primary education (OR 0.62, 95% CI 0.57 to 0.68) and higher education (OR 0.58, 95% CI 0.52 to 0.64), demonstrated a reduced likelihood of iron-rich food deficiency in the sample. Likewise, paternal education, with both primary education (OR 0.69, 95% CI 0.63 to 0.75) and higher education (OR 0.66, 95% CI 0.60 to 0.73) showed decreased odds of iron-rich food deficiency. Postnatal visits contributed significantly to reducing the odds of iron-rich food deficiency (OR 0.90, 95% CI 0.83 to 0.95), along with antenatal visits, which also had a positive impact (OR 0.84, 95% CI 0.74 to 0.95). Finally, residents in rural areas showed slightly higher odds of iron-rich food deficiency (OR 1.12, 95% CI 1.10 to 1.28).&lt;h4>Conclusion&lt;/h4>Based on the findings, interventions targeting iron-food deficiency in the SSA region should take into strong consideration the key determinants highlighted in this study.</pubmed_abstract><journal>BMJ open</journal><pagination>e079856</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10928746</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Determinants of iron-rich food deficiency among children under 5 years in sub-Saharan Africa: a comprehensive analysis of Demographic and Health Surveys.</pubmed_title><pmcid>PMC10928746</pmcid><pubmed_authors>Boadu EF</pubmed_authors><pubmed_authors>Boadi C</pubmed_authors><pubmed_authors>Osei Bonsu E</pubmed_authors><pubmed_authors>Addo IY</pubmed_authors><pubmed_authors>Okeke SR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Determinants of iron-rich food deficiency among children under 5 years in sub-Saharan Africa: a comprehensive analysis of Demographic and Health Surveys.</name><description>&lt;h4>Background&lt;/h4>Iron deficiency is a major public health problem that affects the physical and cognitive development of children under 5 years of age (under-5 children) in sub-Saharan Africa (SSA). However, the factors associated with the limited consumption of iron-rich foods in the region are poorly understood.&lt;h4>Objective&lt;/h4>This study examined the prevalence and determinants of iron-rich food deficiency among under-5 children in 26 SSA countries.&lt;h4>Design&lt;/h4>This nationally representative quantitative study employed pooled data from Demographic and Health Surveys conducted between 2010 and 2019.&lt;h4>Methods&lt;/h4>Representative samples comprising 296 850 under-5 children from the various countries were used. Bivariate and multivariate logistic regression models were used to determine the associations between the lack of iron-rich food uptake and various sociodemographic factors.&lt;h4>Result&lt;/h4>The overall prevalence of iron-rich food deficiency among the children in the entire sample was 56.75%. The prevalence of iron-rich food deficiency varied widely across the 26 countries, ranging from 42.76% in Congo Democratic Republic to 77.50% in Guinea. Maternal education, particularly primary education (OR 0.62, 95% CI 0.57 to 0.68) and higher education (OR 0.58, 95% CI 0.52 to 0.64), demonstrated a reduced likelihood of iron-rich food deficiency in the sample. Likewise, paternal education, with both primary education (OR 0.69, 95% CI 0.63 to 0.75) and higher education (OR 0.66, 95% CI 0.60 to 0.73) showed decreased odds of iron-rich food deficiency. Postnatal visits contributed significantly to reducing the odds of iron-rich food deficiency (OR 0.90, 95% CI 0.83 to 0.95), along with antenatal visits, which also had a positive impact (OR 0.84, 95% CI 0.74 to 0.95). Finally, residents in rural areas showed slightly higher odds of iron-rich food deficiency (OR 1.12, 95% CI 1.10 to 1.28).&lt;h4>Conclusion&lt;/h4>Based on the findings, interventions targeting iron-food deficiency in the SSA region should take into strong consideration the key determinants highlighted in this study.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2026-06-26T03:23:41.233Z</modification><creation>2025-04-06T14:32:39.8Z</creation></dates><accession>S-EPMC10928746</accession><cross_references><pubmed>38458798</pubmed><doi>10.1136/bmjopen-2023-079856</doi></cross_references></HashMap>