Burden and determinants of malnutrition among pregnant women in Africa: A systematic review and meta-analysis
Malnutrition in pregnancy remains unacceptably high across all regions of Africa though promising progresses have been made globally. Primary studies might not be sufficient to portrait a comprehensive picture of malnutrition during pregnancy and its main risk factors. Therefore, we intended to revi...
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| description | Malnutrition in pregnancy remains unacceptably high across all regions of Africa though promising progresses have been made globally. Primary studies might not be sufficient to portrait a comprehensive picture of malnutrition during pregnancy and its main risk factors. Therefore, we intended to review the burden of malnutrition, for this specific review implies to protein energy malnutrition, during pregnancy in Africa to present its magnitude and determinant factors.
We did a systematic review of observational studies published from January 1/2008 to January 31/2018. The CINAHL(EBSCO), MEDLINE (via Ovid), Emcare, PubMed databases and Google scholar were searched. Articles quality was assessed using the Newcastle-Ottawa Scale and studies with fair to good quality were included. We pooled malnutrition prevalence and an odds ratio estimates for risk factors after checking for heterogeneity and publication bias. This review has been registered in Prospero with a protocol number CRD42018114949.
23 studies involving 20,672 pregnant women were included. Using a random effect model, the overall pooled prevalence of malnutrition among pregnant women in Africa was 23.5% (95%CI: 17.72-29.32; I2 = 98.5%). Based on the current review pooled odds ratio finding; rural residency (POR = 2.6%; 95%CI: 1.48-4.65; I2 = 0%), low educational status of partners (POR = 1.7%; 95%CI: 1.19-2.53; I2 = 54.8%), multiple pregnancy (POR = 2.15%; 95%CI: 1.27-3.64; I2 = 0%) and poor nutritional indicators (POR = 2.03%; 95%CI: 1.72-2.4, I2 = 0%) were positively determine maternal malnutrition. On contrary, better household economic status (POR = 0.47%; 95%CI: 0.36-0.62; I2 = 24.2%) negatively determine maternal malnutrition.
A significant number of the pregnant population in Africa are suffering of malnutrition, above 10% of the standard acceptable malnutrition rate. Thus, efforts should be renewed to ensure a proper and widespread implementation of programs that would address issues identified in the current review to reduce the burden of malnutrition. |
| doi_str_mv | 10.1371/journal.pone.0221712 |
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We did a systematic review of observational studies published from January 1/2008 to January 31/2018. The CINAHL(EBSCO), MEDLINE (via Ovid), Emcare, PubMed databases and Google scholar were searched. Articles quality was assessed using the Newcastle-Ottawa Scale and studies with fair to good quality were included. We pooled malnutrition prevalence and an odds ratio estimates for risk factors after checking for heterogeneity and publication bias. This review has been registered in Prospero with a protocol number CRD42018114949.
23 studies involving 20,672 pregnant women were included. Using a random effect model, the overall pooled prevalence of malnutrition among pregnant women in Africa was 23.5% (95%CI: 17.72-29.32; I2 = 98.5%). Based on the current review pooled odds ratio finding; rural residency (POR = 2.6%; 95%CI: 1.48-4.65; I2 = 0%), low educational status of partners (POR = 1.7%; 95%CI: 1.19-2.53; I2 = 54.8%), multiple pregnancy (POR = 2.15%; 95%CI: 1.27-3.64; I2 = 0%) and poor nutritional indicators (POR = 2.03%; 95%CI: 1.72-2.4, I2 = 0%) were positively determine maternal malnutrition. On contrary, better household economic status (POR = 0.47%; 95%CI: 0.36-0.62; I2 = 24.2%) negatively determine maternal malnutrition.
A significant number of the pregnant population in Africa are suffering of malnutrition, above 10% of the standard acceptable malnutrition rate. Thus, efforts should be renewed to ensure a proper and widespread implementation of programs that would address issues identified in the current review to reduce the burden of malnutrition.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0221712</identifier><identifier>PMID: 31490956</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Africa - epidemiology ; Anemia ; Biology and Life Sciences ; Birth weight ; Care and treatment ; Control ; Decision Making ; Epidemiology ; Female ; GDP ; Gross Domestic Product ; Health aspects ; Health sciences ; Heterogeneity ; Humans ; Low income groups ; Malnutrition ; Malnutrition - epidemiology ; Medical research ; Medicine and Health Sciences ; Meta-analysis ; Nutrition ; People and Places ; Physical Sciences ; Planning ; Pregnancy ; Pregnancy Complications - epidemiology ; Pregnant women ; Premature birth ; Prenatal care ; Prevalence ; Protein-energy malnutrition ; Public health ; Quality assessment ; Research and Analysis Methods ; Reviews ; Risk analysis ; Risk factors ; Rural areas ; Search engines ; Studies ; Systematic review ; Wellness programs ; Womens health</subject><ispartof>PloS one, 2019-09, Vol.14 (9), p.e0221712-e0221712</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Desyibelew, Dadi. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Desyibelew, Dadi 2019 Desyibelew, Dadi</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-4f50f572064c7904169a104dbf1cc2974d6fae64ee044f958bcbed8a109b7fcf3</citedby><cites>FETCH-LOGICAL-c692t-4f50f572064c7904169a104dbf1cc2974d6fae64ee044f958bcbed8a109b7fcf3</cites><orcidid>0000-0003-3198-8675</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6730925/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6730925/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31490956$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Desyibelew, Hanna Demelash</creatorcontrib><creatorcontrib>Dadi, Abel Fekadu</creatorcontrib><title>Burden and determinants of malnutrition among pregnant women in Africa: A systematic review and meta-analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Malnutrition in pregnancy remains unacceptably high across all regions of Africa though promising progresses have been made globally. Primary studies might not be sufficient to portrait a comprehensive picture of malnutrition during pregnancy and its main risk factors. Therefore, we intended to review the burden of malnutrition, for this specific review implies to protein energy malnutrition, during pregnancy in Africa to present its magnitude and determinant factors.
We did a systematic review of observational studies published from January 1/2008 to January 31/2018. The CINAHL(EBSCO), MEDLINE (via Ovid), Emcare, PubMed databases and Google scholar were searched. Articles quality was assessed using the Newcastle-Ottawa Scale and studies with fair to good quality were included. We pooled malnutrition prevalence and an odds ratio estimates for risk factors after checking for heterogeneity and publication bias. This review has been registered in Prospero with a protocol number CRD42018114949.
23 studies involving 20,672 pregnant women were included. Using a random effect model, the overall pooled prevalence of malnutrition among pregnant women in Africa was 23.5% (95%CI: 17.72-29.32; I2 = 98.5%). Based on the current review pooled odds ratio finding; rural residency (POR = 2.6%; 95%CI: 1.48-4.65; I2 = 0%), low educational status of partners (POR = 1.7%; 95%CI: 1.19-2.53; I2 = 54.8%), multiple pregnancy (POR = 2.15%; 95%CI: 1.27-3.64; I2 = 0%) and poor nutritional indicators (POR = 2.03%; 95%CI: 1.72-2.4, I2 = 0%) were positively determine maternal malnutrition. On contrary, better household economic status (POR = 0.47%; 95%CI: 0.36-0.62; I2 = 24.2%) negatively determine maternal malnutrition.
A significant number of the pregnant population in Africa are suffering of malnutrition, above 10% of the standard acceptable malnutrition rate. Thus, efforts should be renewed to ensure a proper and widespread implementation of programs that would address issues identified in the current review to reduce the burden of malnutrition.</description><subject>Africa - epidemiology</subject><subject>Anemia</subject><subject>Biology and Life Sciences</subject><subject>Birth weight</subject><subject>Care and treatment</subject><subject>Control</subject><subject>Decision Making</subject><subject>Epidemiology</subject><subject>Female</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Health aspects</subject><subject>Health sciences</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Low income groups</subject><subject>Malnutrition</subject><subject>Malnutrition - epidemiology</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Meta-analysis</subject><subject>Nutrition</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Planning</subject><subject>Pregnancy</subject><subject>Pregnancy Complications - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Desyibelew, Hanna Demelash</au><au>Dadi, Abel Fekadu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Burden and determinants of malnutrition among pregnant women in Africa: A systematic review and meta-analysis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-09-06</date><risdate>2019</risdate><volume>14</volume><issue>9</issue><spage>e0221712</spage><epage>e0221712</epage><pages>e0221712-e0221712</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Malnutrition in pregnancy remains unacceptably high across all regions of Africa though promising progresses have been made globally. Primary studies might not be sufficient to portrait a comprehensive picture of malnutrition during pregnancy and its main risk factors. Therefore, we intended to review the burden of malnutrition, for this specific review implies to protein energy malnutrition, during pregnancy in Africa to present its magnitude and determinant factors.
We did a systematic review of observational studies published from January 1/2008 to January 31/2018. The CINAHL(EBSCO), MEDLINE (via Ovid), Emcare, PubMed databases and Google scholar were searched. Articles quality was assessed using the Newcastle-Ottawa Scale and studies with fair to good quality were included. We pooled malnutrition prevalence and an odds ratio estimates for risk factors after checking for heterogeneity and publication bias. This review has been registered in Prospero with a protocol number CRD42018114949.
23 studies involving 20,672 pregnant women were included. Using a random effect model, the overall pooled prevalence of malnutrition among pregnant women in Africa was 23.5% (95%CI: 17.72-29.32; I2 = 98.5%). Based on the current review pooled odds ratio finding; rural residency (POR = 2.6%; 95%CI: 1.48-4.65; I2 = 0%), low educational status of partners (POR = 1.7%; 95%CI: 1.19-2.53; I2 = 54.8%), multiple pregnancy (POR = 2.15%; 95%CI: 1.27-3.64; I2 = 0%) and poor nutritional indicators (POR = 2.03%; 95%CI: 1.72-2.4, I2 = 0%) were positively determine maternal malnutrition. On contrary, better household economic status (POR = 0.47%; 95%CI: 0.36-0.62; I2 = 24.2%) negatively determine maternal malnutrition.
A significant number of the pregnant population in Africa are suffering of malnutrition, above 10% of the standard acceptable malnutrition rate. Thus, efforts should be renewed to ensure a proper and widespread implementation of programs that would address issues identified in the current review to reduce the burden of malnutrition.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31490956</pmid><doi>10.1371/journal.pone.0221712</doi><tpages>e0221712</tpages><orcidid>https://orcid.org/0000-0003-3198-8675</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Africa - epidemiology Anemia Biology and Life Sciences Birth weight Care and treatment Control Decision Making Epidemiology Female GDP Gross Domestic Product Health aspects Health sciences Heterogeneity Humans Low income groups Malnutrition Malnutrition - epidemiology Medical research Medicine and Health Sciences Meta-analysis Nutrition People and Places Physical Sciences Planning Pregnancy Pregnancy Complications - epidemiology Pregnant women Premature birth Prenatal care Prevalence Protein-energy malnutrition Public health Quality assessment Research and Analysis Methods Reviews Risk analysis Risk factors Rural areas Search engines Studies Systematic review Wellness programs Womens health |
| title | Burden and determinants of malnutrition among pregnant women in Africa: A systematic review and meta-analysis |
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