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Anemia prevalence and its predictors among children under‐five years in Ghana. A multilevel analysis of the cross‐sectional 2019 Ghana Malaria Indicator Survey
BACKGROUND AND AIMS: Despite the implementation of anemia control interventions in Ghana, anemia prevalence is still high in children under‐fives. Reducing the prevalence of anemia requires identifying and targeting associated critical risk factors. This study seeks to identify predictors of anemia...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617986/ https://www.ncbi.nlm.nih.gov/pubmed/37916141 http://dx.doi.org/10.1002/hsr2.1643 |
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author | Aheto, Justice M. K. Alhassan, Yakubu Puplampu, Adikwor E. Boglo, Julius K. Sedzro, Kojo M. |
author_facet | Aheto, Justice M. K. Alhassan, Yakubu Puplampu, Adikwor E. Boglo, Julius K. Sedzro, Kojo M. |
author_sort | Aheto, Justice M. K. |
collection | PubMed |
description | BACKGROUND AND AIMS: Despite the implementation of anemia control interventions in Ghana, anemia prevalence is still high in children under‐fives. Reducing the prevalence of anemia requires identifying and targeting associated critical risk factors. This study seeks to identify predictors of anemia among children under‐fives in Ghana. METHODS: Nationally representative data from the 2019 Ghana Malaria Indicator Survey was used in this study. Both fixed and random effects (multilevel) logistic regression models were applied to 2434 children to identify critical factors associated with anemia. RESULTS: In this study, 54% (95% confidence interval [CI] 52.0–57.0) of children under‐5 years were anemic. Infants were more likely to be anemic (66.7%) compared with other children below 5 years. In the multivariable multilevel model, the risk of anemia was found to be higher in younger children especially 6–11 months old (adjusted odds ratio [aOR] = 3.59, CI: 2.54–5.08) and 12–23 months old (aOR = 2.97, CI: 2.08–4.23), children who had malaria (aOR = 1.53, CI: 1.13–2.06), children whose mothers were not registered but not covered with health insurance (aOR = 1.45, CI: 1.21–1.74) or were not even registered for insurance (aOR = 1.49, CI: 1.15–1.93), children born to adolescent mothers (aOR = 2.21, CI: 1.36–3.57), children born to non‐Christian mothers (Islam [aOR = 1.53, CI: 1.17–2.00]), children born to families of poorer households (poorest [aOR = 3.01, CI: 1.64–5.51]; poorer [aOR = 2.56, CI: 1.65–3.98]); middle (aOR = 2.03, CI: 1.32–3.11) and richer (aOR = 1.78, CI: 1.19–2.64), and children who lived in either Upper East (aOR = 2.03, CI: 1.26–3.26) or Central (aOR = 2.52, CI: 1.42–4.47) regions. Significant unobserved community‐level differences in anemia prevalence were observed. CONCLUSION: The probability of anemia in children under‐fives differs substantially from one community to another, and the prevalence remains high. The identified critical risk factors should be addressed. Multifaceted and targeted approaches are needed to help reduce the anemia prevalence in this setting to achieve the multiple United Nation's Sustainable Development Goals, which are related to risk and prevalence of anemia by 2030. |
format | Online Article Text |
id | pubmed-10617986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106179862023-11-01 Anemia prevalence and its predictors among children under‐five years in Ghana. A multilevel analysis of the cross‐sectional 2019 Ghana Malaria Indicator Survey Aheto, Justice M. K. Alhassan, Yakubu Puplampu, Adikwor E. Boglo, Julius K. Sedzro, Kojo M. Health Sci Rep Original Research BACKGROUND AND AIMS: Despite the implementation of anemia control interventions in Ghana, anemia prevalence is still high in children under‐fives. Reducing the prevalence of anemia requires identifying and targeting associated critical risk factors. This study seeks to identify predictors of anemia among children under‐fives in Ghana. METHODS: Nationally representative data from the 2019 Ghana Malaria Indicator Survey was used in this study. Both fixed and random effects (multilevel) logistic regression models were applied to 2434 children to identify critical factors associated with anemia. RESULTS: In this study, 54% (95% confidence interval [CI] 52.0–57.0) of children under‐5 years were anemic. Infants were more likely to be anemic (66.7%) compared with other children below 5 years. In the multivariable multilevel model, the risk of anemia was found to be higher in younger children especially 6–11 months old (adjusted odds ratio [aOR] = 3.59, CI: 2.54–5.08) and 12–23 months old (aOR = 2.97, CI: 2.08–4.23), children who had malaria (aOR = 1.53, CI: 1.13–2.06), children whose mothers were not registered but not covered with health insurance (aOR = 1.45, CI: 1.21–1.74) or were not even registered for insurance (aOR = 1.49, CI: 1.15–1.93), children born to adolescent mothers (aOR = 2.21, CI: 1.36–3.57), children born to non‐Christian mothers (Islam [aOR = 1.53, CI: 1.17–2.00]), children born to families of poorer households (poorest [aOR = 3.01, CI: 1.64–5.51]; poorer [aOR = 2.56, CI: 1.65–3.98]); middle (aOR = 2.03, CI: 1.32–3.11) and richer (aOR = 1.78, CI: 1.19–2.64), and children who lived in either Upper East (aOR = 2.03, CI: 1.26–3.26) or Central (aOR = 2.52, CI: 1.42–4.47) regions. Significant unobserved community‐level differences in anemia prevalence were observed. CONCLUSION: The probability of anemia in children under‐fives differs substantially from one community to another, and the prevalence remains high. The identified critical risk factors should be addressed. Multifaceted and targeted approaches are needed to help reduce the anemia prevalence in this setting to achieve the multiple United Nation's Sustainable Development Goals, which are related to risk and prevalence of anemia by 2030. John Wiley and Sons Inc. 2023-10-22 /pmc/articles/PMC10617986/ /pubmed/37916141 http://dx.doi.org/10.1002/hsr2.1643 Text en © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Research Aheto, Justice M. K. Alhassan, Yakubu Puplampu, Adikwor E. Boglo, Julius K. Sedzro, Kojo M. Anemia prevalence and its predictors among children under‐five years in Ghana. A multilevel analysis of the cross‐sectional 2019 Ghana Malaria Indicator Survey |
title | Anemia prevalence and its predictors among children under‐five years in Ghana. A multilevel analysis of the cross‐sectional 2019 Ghana Malaria Indicator Survey |
title_full | Anemia prevalence and its predictors among children under‐five years in Ghana. A multilevel analysis of the cross‐sectional 2019 Ghana Malaria Indicator Survey |
title_fullStr | Anemia prevalence and its predictors among children under‐five years in Ghana. A multilevel analysis of the cross‐sectional 2019 Ghana Malaria Indicator Survey |
title_full_unstemmed | Anemia prevalence and its predictors among children under‐five years in Ghana. A multilevel analysis of the cross‐sectional 2019 Ghana Malaria Indicator Survey |
title_short | Anemia prevalence and its predictors among children under‐five years in Ghana. A multilevel analysis of the cross‐sectional 2019 Ghana Malaria Indicator Survey |
title_sort | anemia prevalence and its predictors among children under‐five years in ghana. a multilevel analysis of the cross‐sectional 2019 ghana malaria indicator survey |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617986/ https://www.ncbi.nlm.nih.gov/pubmed/37916141 http://dx.doi.org/10.1002/hsr2.1643 |
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