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- Title
Hierarchical modelling of factors associated with anaemia among under-five children in Nigeria.
- Authors
Akinyemi, J. O.; Morhason-Bello, I. O.; Yusuf, O. B.; Salami, K. K.; Kareem, Y. O.; Eyelade, R. O.; Aderinto, A. A.; Alarape, K.; Alada, A.; Jegede, A. S.; Ejiade, O. O.; Adewole, I. F.
- Abstract
This study used a nationally representative cross-sectional data from 2018 Nigeria Demographic Health Survey (NDHS) to investigate the prevalence and factors associated with anaemia in children aged less than five years in Nigeria. Anaemia was defined as haemoglobin level <11.0g/dl, while explanatory variables included parental profile, social and environmental factors. Descriptive analyses and multivariable Poisson regression models were fitted using Stata 15 software. Associated factors were quantified using Prevalence Ratio (PR) with 95% confidence interval (CI). Of the 5834 children aged 6-59 months, 51.9% were male. The prevalence of anaemia among under-five children was 71.6% (95% CI: 69.9-73.2). Childhood anaemia was associated with history of maternal anaemia (PR 1.06; CI 1.05-1.08); having underweight mothers (PR 1.02; CI 1.00-1.05); being a Muslim (PR 1.05; CI 1.02-1.08), Igbo (PR 1.07; CI 1.01-1.14) and Hausa (PR 1.04; CI 1.01-1.07) ethnic group. Further, children from South-South (PR 1.09; CI 1.06-1.13) and South-West (PR 1.06; CI 1.02-1.10) and those currently breastfeeding (PR 1.06; CI 1.04-1.07) had higher risk of anaemia. However, children from middle (PR 0.94; CI 0.91-0.97), or higher wealth indices were less likely to have anaemia. Maternal socio-economic and nutritional characteristics were identified as key predictors of under-five anaemia. Strategies are needed to mitigate the effect of poverty and tweak new and existing nutritional intervention programs to make them responsive to socio-cultural peculiarities across the various geo-political regions of Nigeria.
- Subjects
NIGERIA; HEMOGLOBINS; CONFIDENCE intervals; PRACTICAL politics; REGRESSION analysis; POPULATION geography; SURVEYS; SOCIOECONOMIC factors; ANEMIA; DESCRIPTIVE statistics; STATISTICAL models; DATA analysis software; ODDS ratio; POVERTY; RESIDENTIAL patterns; NUTRITIONAL status; CHILDREN
- Publication
African Journal of Reproductive Health, 2022, Vol 26, p86
- ISSN
1118-4841
- Publication type
Article
- DOI
10.29063/ajrh2022/v26i11s.9