ArticlePloS one2022
Multilevel analysis of determinants of anemia among young women (15-24) in sub-Sahara Africa.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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25 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Pooled it
- Do disempowered bodies risk anaemia? Evidence from married women in Assam's Sixth Schedule areas of Northeast India.Global health action · 2026Article
- Distribution, socioeconomic inequalities and contributing factors of anaemia prevalence across wealth index among Indian adolescent girls: multivariate decomposition analysis of nationally representative survey.BMJ paediatrics open · 2026Article
- An ensemble machine learning approach for predicting anemia among under-five children in malaria-endemic sub-Saharan African countries.Infectious diseases of poverty · 2026Article
- Factors associated with anemia among adolescent girls in Western India: insights from a multi-centric cross-sectional study.Frontiers in global women's health · 2026Article
- Prevalence and factors associated with anaemia among adolescents in Sub-Saharan Africa and India.PLOS global public health · 2026Article
- Trends and factors associated with anemia among women of reproductive age in Mali: analysis of data from 2001 to 2018 Mali demographic and health surveys.Archives of public health = Archives belges de sante publique · 2025Article
- Factors affecting the place of death in patients with liver cancer in China, 2013-2020: A population-based study.Cancer pathogenesis and therapy · 2025Article
- Spatial distribution and determinants of anemia among under-five children in Mozambique.Scientific reports · 2025Article
- Anaemia and selected micronutrient deficiencies among young women in rural North India - A community-based study.Journal of family medicine and primary care · 2024Article
- Pearl millet instant beverage powder enriched with baobab pulp to improve iron and anaemia status of adolescent girls in rural Ghana: a study protocol for a cluster randomised controlled trial.The British journal of nutrition · 2024Article
- Dietary Diversity and Nutritional Status Among Rwandan Women Engaged in Agriculture: A Cross-Sectional Study.Public health challenges · 2024Article
- Burden and determinants of anemia among lactating women in Ethiopia: evidence from demographic health survey.Scientific reports · 2024Article
- The magnitude of anemia and its associated factors among pregnant women in Hawela Tula Sub-city of Hawassa, Hawassa, Ethiopia.Frontiers in nutrition · 2024Article
- Determinants of severity levels of anemia among pregnant women in Sub-Saharan Africa: multilevel analysis.Frontiers in global women's health · 2024Article
- Anaemia among adolescent girls, pregnant and lactating women in the southern rural region of Bangladesh: Prevalence and risk factors.PloS one · 2024Article
- Article
- Anemia in children aged 6-59 months was significantly associated with maternal anemia status in rural Zimbabwe.Food science & nutrition · 2023Article
- Determinants of anemia among women of childbearing age: analysis of the 2018 Mali demographic and health survey.Archives of public health = Archives belges de sante publique · 2023Article
- Article
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Authors and funding
9 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAnemia is a disorder by which the body's red blood cells are inadequate to fulfill The physiological needs of the body. The World Health Organization (WHO) defines anemia as having a hemoglobin (Hb) level of less than 120 g/l for nonpregnant women and 110 g/l for pregnant women. It has serious implications for human health as well as negative social and economic consequences like decreased workforce, impaired learning, and stunted child development. As these women are highly vulnerable to different micro and macro-nutritive deficiency associated with rapid physical, mental and psychological development, particular attention should be given to a young woman (15-24). Therefore this study assesses the magnitude and determinants of anemia among young women in sub-Saharan Africa (SSA).
methodsThis was a secondary data analysis based on the Demographic and Health Surveys (DHS) data conducted in sub-Saharan Africa. We pooled the most recent DHS surveys done in 31 sub-Sahara Africa and a total weighted sample of 88, 832 young women (15-24 years) were included. At bivariable analysis, variables with a p-value of ≤0.2 were selected for multivariable analysis, and at the multivariable analysis variables with a p-value of ≤0.05 were considered as a significant factor associated with anemia among young women (15-24 years).
resultsThe pooled prevalence of anemia among young women (15-24) in sub-Sahara Africa was 42.17% [95%CI: 41.85, 42.50]. Young women of aged 20-24 years [AOR = 0.92, 95%CI: 0.89-0.95], women from rich household [AOR = 0.83, 95%CI: 0.80-0.87], young women with primary [AOR = 0.7, 95%CI: 0.67-0.72], secondary [AOR = 0.72, 95%CI: 0.69-0.75] and higher educational status [AOR = 0.58, 95%CI: 0.53-0.64], married women [AOR = 1.12, 95%CI: 1.08-1.17], divorced/separated/widowed women [AOR = 1.16, 95%CI: 1.08-1.25], women who use modern contraceptive [AOR = 0.65, 95%CI: 0.62-0.67], young women who ever had terminated pregnancy [AOR = 1.22, 95%CI: 1.14-1.29], overweight young woman [AOR = 0.79, 95%CI: 0.76-0.82] and young women from female-headed household [AOR = 0.94, 95%CI: 0.91-0.97] were the individual-level factors that significantly associated with anemia of young women. Meanwhile, being a rural dweller [AOR = 0.82, 95%CI: 0.79-0.85] and high community educational level [AOR = 0.87, 95%CI: 0.70-0.97] were the community level determinant of anemia. Interclass correlation coefficient (ICC), Median Odds Ratio (MOR) and Percentage change in variance (PCV) were done for the assessment of the random effect model of the multilevel analysis. The ICC value in the null model was 0.05, which indicates that 5% of the variation in anemia among young women in sub-Saharan Africa was attributed to community-level factors.
conclusionThe prevalence of anemia among young women in this study was higher compared with reports from the previous studies. Divorced/separated/widowed women, married women and women with ever terminated pregnancy, young women with primary, secondary and higher educational achievement, being rural dwellers, young women aged 20-24 years, being from rich households and women who used modern contraceptives were factors that significantly associated with anemia among young women. Therefore, particular attention should be given to those higher-risk women including, young women with a history of a terminated pregnancy, those from rural areas and young women aged 15-19 years to reduce the burden of anemia among these young women as the continuity of the future generation depends on the health of young women.
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