Determinants of severity levels of anemia among pregnant women in Sub-Saharan Africa: multilevel analysis
BackgroundAnemia is a severe public health problem affecting 54% of pregnant women in SSA Yet, only a limited number of studies have provided a partial assessment of the pooled prevalence and related determinants of the severity levels of anemia in pregnant women in SSA. Therefore, this study provid...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-04-01
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| Series: | Frontiers in Global Women's Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgwh.2024.1367426/full |
| _version_ | 1797217046768910336 |
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| author | Lire Lemma Tirore Abriham Shiferaw Areba Habtamu Tamrat Aklilu Habte Desta Erkalo Abame |
| author_facet | Lire Lemma Tirore Abriham Shiferaw Areba Habtamu Tamrat Aklilu Habte Desta Erkalo Abame |
| author_sort | Lire Lemma Tirore |
| collection | DOAJ |
| description | BackgroundAnemia is a severe public health problem affecting 54% of pregnant women in SSA Yet, only a limited number of studies have provided a partial assessment of the pooled prevalence and related determinants of the severity levels of anemia in pregnant women in SSA. Therefore, this study provides the most recent estimates of anemia severity levels and related determinants.MethodsThe most recent Demographic Health Survey (DHS) dataset of 21 Sub-Saharan African countries which were collected between 2015 and 2022 were used. A total of 14,098 pregnant women were included. Multilevel ordinal logistic regression was used.ResultsThe pooled prevalence of anemia was 51.26%. Pregnant women who were in the old age groups, and who have attended secondary and higher education were less likely to be at higher levels of anemia. Those women who have given birth to >1 children in the last 5 years, pregnant women in second and third trimester and living in poorest households had greater odds of being at higher levels of anemia.ConclusionIn Sub-Saharan Africa, anemia is a severe public health concern for pregnant mothers. When developing and implementing strategies for the prevention and control of anemia, it is imperative to take into account the individual and community circumstances. Programs for the prevention and control of anemia should incorporate the economic and educational empowerment of women. |
| first_indexed | 2024-04-24T11:55:38Z |
| format | Article |
| id | doaj.art-933e24a32328424bb50b3442c2b24f92 |
| institution | Directory Open Access Journal |
| issn | 2673-5059 |
| language | English |
| last_indexed | 2024-04-24T11:55:38Z |
| publishDate | 2024-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Global Women's Health |
| spelling | doaj.art-933e24a32328424bb50b3442c2b24f922024-04-09T04:32:33ZengFrontiers Media S.A.Frontiers in Global Women's Health2673-50592024-04-01510.3389/fgwh.2024.13674261367426Determinants of severity levels of anemia among pregnant women in Sub-Saharan Africa: multilevel analysisLire Lemma Tirore0Abriham Shiferaw Areba1Habtamu Tamrat2Aklilu Habte3Desta Erkalo Abame4Department of Public Health, Wachemo University, Hossana, EthiopiaDepartment of Public Health, Wachemo University, Hossana, EthiopiaDepartment of Orthopedic Surgery, Wachemo University, Hossana, EthiopiaDepartment of Public Health, Wachemo University, Hossana, EthiopiaDepartment of Public Health, Wachemo University, Hossana, EthiopiaBackgroundAnemia is a severe public health problem affecting 54% of pregnant women in SSA Yet, only a limited number of studies have provided a partial assessment of the pooled prevalence and related determinants of the severity levels of anemia in pregnant women in SSA. Therefore, this study provides the most recent estimates of anemia severity levels and related determinants.MethodsThe most recent Demographic Health Survey (DHS) dataset of 21 Sub-Saharan African countries which were collected between 2015 and 2022 were used. A total of 14,098 pregnant women were included. Multilevel ordinal logistic regression was used.ResultsThe pooled prevalence of anemia was 51.26%. Pregnant women who were in the old age groups, and who have attended secondary and higher education were less likely to be at higher levels of anemia. Those women who have given birth to >1 children in the last 5 years, pregnant women in second and third trimester and living in poorest households had greater odds of being at higher levels of anemia.ConclusionIn Sub-Saharan Africa, anemia is a severe public health concern for pregnant mothers. When developing and implementing strategies for the prevention and control of anemia, it is imperative to take into account the individual and community circumstances. Programs for the prevention and control of anemia should incorporate the economic and educational empowerment of women.https://www.frontiersin.org/articles/10.3389/fgwh.2024.1367426/fullseverity levelsanemiapregnant womenmultilevel analysisSub-Saharan Africa |
| spellingShingle | Lire Lemma Tirore Abriham Shiferaw Areba Habtamu Tamrat Aklilu Habte Desta Erkalo Abame Determinants of severity levels of anemia among pregnant women in Sub-Saharan Africa: multilevel analysis Frontiers in Global Women's Health severity levels anemia pregnant women multilevel analysis Sub-Saharan Africa |
| title | Determinants of severity levels of anemia among pregnant women in Sub-Saharan Africa: multilevel analysis |
| title_full | Determinants of severity levels of anemia among pregnant women in Sub-Saharan Africa: multilevel analysis |
| title_fullStr | Determinants of severity levels of anemia among pregnant women in Sub-Saharan Africa: multilevel analysis |
| title_full_unstemmed | Determinants of severity levels of anemia among pregnant women in Sub-Saharan Africa: multilevel analysis |
| title_short | Determinants of severity levels of anemia among pregnant women in Sub-Saharan Africa: multilevel analysis |
| title_sort | determinants of severity levels of anemia among pregnant women in sub saharan africa multilevel analysis |
| topic | severity levels anemia pregnant women multilevel analysis Sub-Saharan Africa |
| url | https://www.frontiersin.org/articles/10.3389/fgwh.2024.1367426/full |
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