Gestational diabetes mellitus in Africa: a systematic review
Gestational diabetes mellitus (GDM) is any degree of impaired glucose tolerance first recognised during pregnancy. Most women with GDM revert to normal glucose metabolism after delivery of their babies; however, they are at risk of developing type 2 diabetes later in life as are their offspring. Det...
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description | Gestational diabetes mellitus (GDM) is any degree of impaired glucose tolerance first recognised during pregnancy. Most women with GDM revert to normal glucose metabolism after delivery of their babies; however, they are at risk of developing type 2 diabetes later in life as are their offspring. Determining a country's GDM prevalence can assist with policy guidelines regarding GDM screening and management, and can highlight areas requiring research. This systematic review assesses GDM prevalence in Africa.
Three electronic databases were searched without language restrictions; PubMed, Scopus and the Cochrane Library. Thirty-one search terms were searched. Eligible articles defined GDM, stated what GDM screening approaches were employed and reported GDM prevalence. The reporting quality and risk of bias within each study was assessed. The PRISMA guidelines for systematic reviews were followed. The literature search identified 466 unique records. Sixty full text articles were reviewed of which 14 were included in the systematic review. One abstract, for which the full text article could not be obtained, was also included. Information regarding GDM classification, screening methods and prevalence was obtained for six African countries; Ethiopia (n = 1), Morocco (n = 1), Mozambique (n = 1), Nigeria (n = 6), South Africa (n= 4) and Tanzania (n = 1). Prevalence figures ranged from 0% (Tanzania) to 13.9% (Nigeria) with some studies focussing on women with GDM risk factors. Most studies utilised the two hour 75 g oral glucose tolerance test and applied the World Health Organization's diagnostic criteria.
Six countries, equating to 11% of the African continent, were represented in this systematic review. This indicates how little is known about GDM in Africa and highlights the need for further research. Considering the increasing public health burden of obesity and type 2 diabetes, it is essential that the extent of GDM is understood in Africa to allow for effective intervention programmes. |
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Three electronic databases were searched without language restrictions; PubMed, Scopus and the Cochrane Library. Thirty-one search terms were searched. Eligible articles defined GDM, stated what GDM screening approaches were employed and reported GDM prevalence. The reporting quality and risk of bias within each study was assessed. The PRISMA guidelines for systematic reviews were followed. The literature search identified 466 unique records. Sixty full text articles were reviewed of which 14 were included in the systematic review. One abstract, for which the full text article could not be obtained, was also included. Information regarding GDM classification, screening methods and prevalence was obtained for six African countries; Ethiopia (n = 1), Morocco (n = 1), Mozambique (n = 1), Nigeria (n = 6), South Africa (n= 4) and Tanzania (n = 1). Prevalence figures ranged from 0% (Tanzania) to 13.9% (Nigeria) with some studies focussing on women with GDM risk factors. Most studies utilised the two hour 75 g oral glucose tolerance test and applied the World Health Organization's diagnostic criteria.
Six countries, equating to 11% of the African continent, were represented in this systematic review. This indicates how little is known about GDM in Africa and highlights the need for further research. Considering the increasing public health burden of obesity and type 2 diabetes, it is essential that the extent of GDM is understood in Africa to allow for effective intervention programmes.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0097871</identifier><identifier>PMID: 24892280</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Africa - epidemiology ; Babies ; Biology and Life Sciences ; Development and progression ; Diabetes mellitus ; Diabetes, Gestational - diagnosis ; Diabetes, Gestational - epidemiology ; Diagnostic systems ; Female ; Gestational diabetes ; Glucose ; Glucose metabolism ; Glucose tolerance ; Glucose tolerance test ; Guidelines ; Health risk assessment ; Health risks ; Humans ; Literature reviews ; Medicine and Health Sciences ; Metabolism ; Obesity ; Offspring ; Physiological aspects ; Pregnancy ; Prevalence ; Public health ; Publication Bias ; Research and Analysis Methods ; Research Report ; Reviews ; Risk analysis ; Risk factors ; Science Policy ; Screening ; Type 2 diabetes ; Womens health</subject><ispartof>PloS one, 2014-06, Vol.9 (6), p.e97871</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Macaulay et al. 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>2014 Macaulay et al 2014 Macaulay et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-5eb831783e4db45f5c25919d7bacf48e4b2db6259fb011e0131c4906fefe0c7e3</citedby><cites>FETCH-LOGICAL-c692t-5eb831783e4db45f5c25919d7bacf48e4b2db6259fb011e0131c4906fefe0c7e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4043667/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4043667/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24892280$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Schillaci, Giuseppe</contributor><creatorcontrib>Macaulay, Shelley</creatorcontrib><creatorcontrib>Dunger, David B</creatorcontrib><creatorcontrib>Norris, Shane A</creatorcontrib><title>Gestational diabetes mellitus in Africa: a systematic review</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Gestational diabetes mellitus (GDM) is any degree of impaired glucose tolerance first recognised during pregnancy. Most women with GDM revert to normal glucose metabolism after delivery of their babies; however, they are at risk of developing type 2 diabetes later in life as are their offspring. Determining a country's GDM prevalence can assist with policy guidelines regarding GDM screening and management, and can highlight areas requiring research. This systematic review assesses GDM prevalence in Africa.
Three electronic databases were searched without language restrictions; PubMed, Scopus and the Cochrane Library. Thirty-one search terms were searched. Eligible articles defined GDM, stated what GDM screening approaches were employed and reported GDM prevalence. The reporting quality and risk of bias within each study was assessed. The PRISMA guidelines for systematic reviews were followed. The literature search identified 466 unique records. Sixty full text articles were reviewed of which 14 were included in the systematic review. One abstract, for which the full text article could not be obtained, was also included. Information regarding GDM classification, screening methods and prevalence was obtained for six African countries; Ethiopia (n = 1), Morocco (n = 1), Mozambique (n = 1), Nigeria (n = 6), South Africa (n= 4) and Tanzania (n = 1). Prevalence figures ranged from 0% (Tanzania) to 13.9% (Nigeria) with some studies focussing on women with GDM risk factors. Most studies utilised the two hour 75 g oral glucose tolerance test and applied the World Health Organization's diagnostic criteria.
Six countries, equating to 11% of the African continent, were represented in this systematic review. This indicates how little is known about GDM in Africa and highlights the need for further research. Considering the increasing public health burden of obesity and type 2 diabetes, it is essential that the extent of GDM is understood in Africa to allow for effective intervention programmes.</description><subject>Africa - epidemiology</subject><subject>Babies</subject><subject>Biology and Life Sciences</subject><subject>Development and progression</subject><subject>Diabetes mellitus</subject><subject>Diabetes, Gestational - diagnosis</subject><subject>Diabetes, Gestational - epidemiology</subject><subject>Diagnostic systems</subject><subject>Female</subject><subject>Gestational diabetes</subject><subject>Glucose</subject><subject>Glucose metabolism</subject><subject>Glucose tolerance</subject><subject>Glucose tolerance test</subject><subject>Guidelines</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Humans</subject><subject>Literature reviews</subject><subject>Medicine and Health Sciences</subject><subject>Metabolism</subject><subject>Obesity</subject><subject>Offspring</subject><subject>Physiological aspects</subject><subject>Pregnancy</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Publication Bias</subject><subject>Research and Analysis Methods</subject><subject>Research Report</subject><subject>Reviews</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Science Policy</subject><subject>Screening</subject><subject>Type 2 diabetes</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl2L1DAUhoso7of-A9GCIHoxY9KkaSIiDIuuAwsLft2GJD2ZydA2Y9Luuv_ezE53mcpeSC4STp7znpyTN8teYDTHpMLvN34InWrmW9_BHCFR8Qo_yo6xIMWMFYg8PjgfZScxbhAqCWfsaXZUUC6KgqPj7OM5xF71ziepvHZKQw8xb6FpXD_E3HX5wgZn1Idc5fEm9tAm2OQBrhxcP8ueWNVEeD7up9nPL59_nH2dXVyeL88WFzPDRNHPStCc4IoToLWmpS1NUQos6korYykHqotasxSzGmEMCBNsqEDMggVkKiCn2au97rbxUY6NR4lLggXnCJFELPdE7dVGboNrVbiRXjl5G_BhJVVID29AglGIWsaVFpaaUitWYi2YxlQRU1qWtD6N1QbdQm2g64NqJqLTm86t5cpfSYooYaxKAm9HgeB_D2m-snXRpJGqDvxw--5CUEaQSOjrf9CHuxuplUoNuM76VNfsROWCYiYY53xXdv4AlVYNrTPJJdal-CTh3SQhMT386VdqiFEuv3_7f_by15R9c8CuQTX9Ovpm2LksTkG6B03wMQaw90PGSO5MfjcNuTO5HE2e0l4eftB90p2ryV_UCvbF</recordid><startdate>20140603</startdate><enddate>20140603</enddate><creator>Macaulay, Shelley</creator><creator>Dunger, David B</creator><creator>Norris, Shane A</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140603</creationdate><title>Gestational diabetes mellitus in Africa: a systematic review</title><author>Macaulay, Shelley ; Dunger, David B ; Norris, Shane A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-5eb831783e4db45f5c25919d7bacf48e4b2db6259fb011e0131c4906fefe0c7e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Africa - epidemiology</topic><topic>Babies</topic><topic>Biology and Life Sciences</topic><topic>Development and progression</topic><topic>Diabetes mellitus</topic><topic>Diabetes, Gestational - diagnosis</topic><topic>Diabetes, Gestational - epidemiology</topic><topic>Diagnostic systems</topic><topic>Female</topic><topic>Gestational diabetes</topic><topic>Glucose</topic><topic>Glucose metabolism</topic><topic>Glucose tolerance</topic><topic>Glucose tolerance test</topic><topic>Guidelines</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Humans</topic><topic>Literature reviews</topic><topic>Medicine and Health Sciences</topic><topic>Metabolism</topic><topic>Obesity</topic><topic>Offspring</topic><topic>Physiological aspects</topic><topic>Pregnancy</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Publication Bias</topic><topic>Research and Analysis Methods</topic><topic>Research Report</topic><topic>Reviews</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Science Policy</topic><topic>Screening</topic><topic>Type 2 diabetes</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Macaulay, Shelley</creatorcontrib><creatorcontrib>Dunger, David B</creatorcontrib><creatorcontrib>Norris, Shane A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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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>Macaulay, Shelley</au><au>Dunger, David B</au><au>Norris, Shane A</au><au>Schillaci, Giuseppe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gestational diabetes mellitus in Africa: a systematic review</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-06-03</date><risdate>2014</risdate><volume>9</volume><issue>6</issue><spage>e97871</spage><pages>e97871-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Gestational diabetes mellitus (GDM) is any degree of impaired glucose tolerance first recognised during pregnancy. Most women with GDM revert to normal glucose metabolism after delivery of their babies; however, they are at risk of developing type 2 diabetes later in life as are their offspring. Determining a country's GDM prevalence can assist with policy guidelines regarding GDM screening and management, and can highlight areas requiring research. This systematic review assesses GDM prevalence in Africa.
Three electronic databases were searched without language restrictions; PubMed, Scopus and the Cochrane Library. Thirty-one search terms were searched. Eligible articles defined GDM, stated what GDM screening approaches were employed and reported GDM prevalence. The reporting quality and risk of bias within each study was assessed. The PRISMA guidelines for systematic reviews were followed. The literature search identified 466 unique records. Sixty full text articles were reviewed of which 14 were included in the systematic review. One abstract, for which the full text article could not be obtained, was also included. Information regarding GDM classification, screening methods and prevalence was obtained for six African countries; Ethiopia (n = 1), Morocco (n = 1), Mozambique (n = 1), Nigeria (n = 6), South Africa (n= 4) and Tanzania (n = 1). Prevalence figures ranged from 0% (Tanzania) to 13.9% (Nigeria) with some studies focussing on women with GDM risk factors. Most studies utilised the two hour 75 g oral glucose tolerance test and applied the World Health Organization's diagnostic criteria.
Six countries, equating to 11% of the African continent, were represented in this systematic review. This indicates how little is known about GDM in Africa and highlights the need for further research. Considering the increasing public health burden of obesity and type 2 diabetes, it is essential that the extent of GDM is understood in Africa to allow for effective intervention programmes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24892280</pmid><doi>10.1371/journal.pone.0097871</doi><oa>free_for_read</oa></addata></record> |
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subjects | Africa - epidemiology Babies Biology and Life Sciences Development and progression Diabetes mellitus Diabetes, Gestational - diagnosis Diabetes, Gestational - epidemiology Diagnostic systems Female Gestational diabetes Glucose Glucose metabolism Glucose tolerance Glucose tolerance test Guidelines Health risk assessment Health risks Humans Literature reviews Medicine and Health Sciences Metabolism Obesity Offspring Physiological aspects Pregnancy Prevalence Public health Publication Bias Research and Analysis Methods Research Report Reviews Risk analysis Risk factors Science Policy Screening Type 2 diabetes Womens health |
title | Gestational diabetes mellitus in Africa: a systematic review |
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