Oral glucose tolerance testing outcomes among women at high risk for gestational diabetes mellitus

AimsThis study aimed to determine the prevalence and relationships with known risk factors of gestational diabetes mellitus (GDM) at University College Hospital, Ibadan, Nigeria.MethodsRecords of all women referred for oral glucose tolerance testing at the metabolic research unit of the Hospital ove...

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Veröffentlicht in:Journal of clinical pathology 2011-08, Vol.64 (8), p.718-721
Hauptverfasser: Kuti, Modupe Akinrele, Abbiyesuku, Fayeofori Mpakabaori, Akinlade, Kehinde Simeon, Akinosun, Olubayo Michael, Adedapo, Kayode Solomon, Adeleye, Jokotade Oluremilekun, Adesina, Olubukola Adeponle
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container_end_page 721
container_issue 8
container_start_page 718
container_title Journal of clinical pathology
container_volume 64
creator Kuti, Modupe Akinrele
Abbiyesuku, Fayeofori Mpakabaori
Akinlade, Kehinde Simeon
Akinosun, Olubayo Michael
Adedapo, Kayode Solomon
Adeleye, Jokotade Oluremilekun
Adesina, Olubukola Adeponle
description AimsThis study aimed to determine the prevalence and relationships with known risk factors of gestational diabetes mellitus (GDM) at University College Hospital, Ibadan, Nigeria.MethodsRecords of all women referred for oral glucose tolerance testing at the metabolic research unit of the Hospital over a 2 year period were reviewed. Diagnosis of GDM was made in accordance with WHO criteria. GDM diagnosis was classified as early and late based on a gestational age 24 weeks respectively. Body mass index (BMI) measurements were performed for women who presented in the first trimester. Various statistical tools including student t test and Pearson's coefficient of correlation were used.ResultsA total of 765 records were reviewed. The crude prevalence rate was 13.9%. The prevalence rate among women in the first trimester was highest at 17.4% although most of the diagnoses were made in the third trimester (55.7%). A positive family history and a family history of GDM were associated significantly with a higher fasting and 2 h post-load glucose values, irrespective of current GDM diagnosis. The most consistent associations with a diagnosis of GDM were a positive family history and a history of GDM. Age above 30 years at oral glucose testing also showed significant association. There was no BMI threshold associated with a significant risk of GDM for those women presenting in the first trimester.ConclusionsGDM is a common metabolic condition in Nigeria. Onset before the 24th week of pregnancy is not uncommon.
doi_str_mv 10.1136/jcp.2010.087098
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Diagnosis of GDM was made in accordance with WHO criteria. GDM diagnosis was classified as early and late based on a gestational age &lt;24 weeks and &gt;24 weeks respectively. Body mass index (BMI) measurements were performed for women who presented in the first trimester. Various statistical tools including student t test and Pearson's coefficient of correlation were used.ResultsA total of 765 records were reviewed. The crude prevalence rate was 13.9%. The prevalence rate among women in the first trimester was highest at 17.4% although most of the diagnoses were made in the third trimester (55.7%). A positive family history and a family history of GDM were associated significantly with a higher fasting and 2 h post-load glucose values, irrespective of current GDM diagnosis. The most consistent associations with a diagnosis of GDM were a positive family history and a history of GDM. Age above 30 years at oral glucose testing also showed significant association. There was no BMI threshold associated with a significant risk of GDM for those women presenting in the first trimester.ConclusionsGDM is a common metabolic condition in Nigeria. Onset before the 24th week of pregnancy is not uncommon.</description><identifier>ISSN: 0021-9746</identifier><identifier>EISSN: 1472-4146</identifier><identifier>DOI: 10.1136/jcp.2010.087098</identifier><identifier>PMID: 21606228</identifier><identifier>CODEN: JCPAAK</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd and Association of Clinical Pathologists</publisher><subject>Adult ; Age ; Biological and medical sciences ; Birth weight ; Blood Glucose - metabolism ; Body Mass Index ; Diabetes ; Diabetes, Gestational - blood ; Diabetes, Gestational - diagnosis ; Diabetes, Gestational - epidemiology ; diagnostic screening ; Family medical history ; Fasting ; Female ; Glucose ; Glucose Tolerance Test - statistics &amp; numerical data ; Humans ; Insulin ; Insulin resistance ; Investigative techniques, diagnostic techniques (general aspects) ; Maternal Age ; Medical sciences ; Metabolism ; Middle Aged ; Nigeria - epidemiology ; Parity ; Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques ; Pregnancy ; Pregnancy Trimesters ; Prevalence ; Regression Analysis ; Risk Factors ; Womens health ; Young Adult</subject><ispartof>Journal of clinical pathology, 2011-08, Vol.64 (8), p.718-721</ispartof><rights>2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright: 2011 (c) 2011, Published by the BMJ Publishing Group Limited. 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Diagnosis of GDM was made in accordance with WHO criteria. GDM diagnosis was classified as early and late based on a gestational age &lt;24 weeks and &gt;24 weeks respectively. Body mass index (BMI) measurements were performed for women who presented in the first trimester. Various statistical tools including student t test and Pearson's coefficient of correlation were used.ResultsA total of 765 records were reviewed. The crude prevalence rate was 13.9%. The prevalence rate among women in the first trimester was highest at 17.4% although most of the diagnoses were made in the third trimester (55.7%). A positive family history and a family history of GDM were associated significantly with a higher fasting and 2 h post-load glucose values, irrespective of current GDM diagnosis. The most consistent associations with a diagnosis of GDM were a positive family history and a history of GDM. Age above 30 years at oral glucose testing also showed significant association. There was no BMI threshold associated with a significant risk of GDM for those women presenting in the first trimester.ConclusionsGDM is a common metabolic condition in Nigeria. Onset before the 24th week of pregnancy is not uncommon.</description><subject>Adult</subject><subject>Age</subject><subject>Biological and medical sciences</subject><subject>Birth weight</subject><subject>Blood Glucose - metabolism</subject><subject>Body Mass Index</subject><subject>Diabetes</subject><subject>Diabetes, Gestational - blood</subject><subject>Diabetes, Gestational - diagnosis</subject><subject>Diabetes, Gestational - epidemiology</subject><subject>diagnostic screening</subject><subject>Family medical history</subject><subject>Fasting</subject><subject>Female</subject><subject>Glucose</subject><subject>Glucose Tolerance Test - statistics &amp; numerical data</subject><subject>Humans</subject><subject>Insulin</subject><subject>Insulin resistance</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Maternal Age</subject><subject>Medical sciences</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Nigeria - epidemiology</subject><subject>Parity</subject><subject>Pathology. 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Miscellaneous investigative techniques</subject><subject>Pregnancy</subject><subject>Pregnancy Trimesters</subject><subject>Prevalence</subject><subject>Regression Analysis</subject><subject>Risk Factors</subject><subject>Womens health</subject><subject>Young Adult</subject><issn>0021-9746</issn><issn>1472-4146</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</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><recordid>eNqFkMFrFDEUh4Modq2evUlApCBM-5LMJJmjLK4WSnupvYY3mcw225nJmsyg_vfNMmuFXjzlPfK9Hz8-Qt4zOGdMyIud3Z9zyBtoBbV-QVasVLwoWSlfkhUAZ0WtSnlC3qS0A2BCMfGanHAmQXKuV6S5idjTbT_bkBydQu8ijjZPLk1-3NIwTzYMLlEcQl5_5XmkONF7v72n0acH2oVIt5nGyYcxZ7UeG5fP6eD63k9zekteddgn9-74npIfm6-36-_F1c23y_WXq6IpuZoKXbXCCeBWOyk75yqQ1nKHXSWwalBh7SzWTLVdXYnaVlBqaTnvVNnWWDZMnJKzJXcfw885NzKDTzaXwNGFORmttGaKcZXJj8_IXZhjLp8MU5qBUAIgUxcLZWNIKbrO7KMfMP4xDMzBvsn2zcG-Wezniw_H3LkZXPvE_9WdgU9HAJPFvju49ukfVwoFmcxcsXA-Te730z_GByOVUJW5vlubjdIbuNswc8j9vPDNsPtvy0fpvanD</recordid><startdate>20110801</startdate><enddate>20110801</enddate><creator>Kuti, Modupe Akinrele</creator><creator>Abbiyesuku, Fayeofori Mpakabaori</creator><creator>Akinlade, Kehinde Simeon</creator><creator>Akinosun, Olubayo Michael</creator><creator>Adedapo, Kayode Solomon</creator><creator>Adeleye, Jokotade Oluremilekun</creator><creator>Adesina, Olubukola Adeponle</creator><general>BMJ Publishing Group Ltd and Association of Clinical Pathologists</general><general>BMJ Publishing Group</general><general>BMJ Publishing Group LTD</general><scope>BSCLL</scope><scope>IQODW</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20110801</creationdate><title>Oral glucose tolerance testing outcomes among women at high risk for gestational diabetes mellitus</title><author>Kuti, Modupe Akinrele ; Abbiyesuku, Fayeofori Mpakabaori ; Akinlade, Kehinde Simeon ; Akinosun, Olubayo Michael ; Adedapo, Kayode Solomon ; Adeleye, Jokotade Oluremilekun ; Adesina, Olubukola Adeponle</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b427t-85d3e302c8e66fee506cc2eaf53a5ba7a9eca917df9539c50486c22f74d9a4b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>Age</topic><topic>Biological and medical sciences</topic><topic>Birth weight</topic><topic>Blood Glucose - metabolism</topic><topic>Body Mass Index</topic><topic>Diabetes</topic><topic>Diabetes, Gestational - blood</topic><topic>Diabetes, Gestational - diagnosis</topic><topic>Diabetes, Gestational - epidemiology</topic><topic>diagnostic screening</topic><topic>Family medical history</topic><topic>Fasting</topic><topic>Female</topic><topic>Glucose</topic><topic>Glucose Tolerance Test - statistics &amp; numerical data</topic><topic>Humans</topic><topic>Insulin</topic><topic>Insulin resistance</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Maternal Age</topic><topic>Medical sciences</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Nigeria - epidemiology</topic><topic>Parity</topic><topic>Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques</topic><topic>Pregnancy</topic><topic>Pregnancy Trimesters</topic><topic>Prevalence</topic><topic>Regression Analysis</topic><topic>Risk Factors</topic><topic>Womens health</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kuti, Modupe Akinrele</creatorcontrib><creatorcontrib>Abbiyesuku, Fayeofori Mpakabaori</creatorcontrib><creatorcontrib>Akinlade, Kehinde Simeon</creatorcontrib><creatorcontrib>Akinosun, Olubayo Michael</creatorcontrib><creatorcontrib>Adedapo, Kayode Solomon</creatorcontrib><creatorcontrib>Adeleye, Jokotade Oluremilekun</creatorcontrib><creatorcontrib>Adesina, Olubukola Adeponle</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuti, Modupe Akinrele</au><au>Abbiyesuku, Fayeofori Mpakabaori</au><au>Akinlade, Kehinde Simeon</au><au>Akinosun, Olubayo Michael</au><au>Adedapo, Kayode Solomon</au><au>Adeleye, Jokotade Oluremilekun</au><au>Adesina, Olubukola Adeponle</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Oral glucose tolerance testing outcomes among women at high risk for gestational diabetes mellitus</atitle><jtitle>Journal of clinical pathology</jtitle><addtitle>J Clin Pathol</addtitle><date>2011-08-01</date><risdate>2011</risdate><volume>64</volume><issue>8</issue><spage>718</spage><epage>721</epage><pages>718-721</pages><issn>0021-9746</issn><eissn>1472-4146</eissn><coden>JCPAAK</coden><abstract>AimsThis study aimed to determine the prevalence and relationships with known risk factors of gestational diabetes mellitus (GDM) at University College Hospital, Ibadan, Nigeria.MethodsRecords of all women referred for oral glucose tolerance testing at the metabolic research unit of the Hospital over a 2 year period were reviewed. Diagnosis of GDM was made in accordance with WHO criteria. GDM diagnosis was classified as early and late based on a gestational age &lt;24 weeks and &gt;24 weeks respectively. Body mass index (BMI) measurements were performed for women who presented in the first trimester. Various statistical tools including student t test and Pearson's coefficient of correlation were used.ResultsA total of 765 records were reviewed. The crude prevalence rate was 13.9%. The prevalence rate among women in the first trimester was highest at 17.4% although most of the diagnoses were made in the third trimester (55.7%). A positive family history and a family history of GDM were associated significantly with a higher fasting and 2 h post-load glucose values, irrespective of current GDM diagnosis. The most consistent associations with a diagnosis of GDM were a positive family history and a history of GDM. Age above 30 years at oral glucose testing also showed significant association. There was no BMI threshold associated with a significant risk of GDM for those women presenting in the first trimester.ConclusionsGDM is a common metabolic condition in Nigeria. Onset before the 24th week of pregnancy is not uncommon.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd and Association of Clinical Pathologists</pub><pmid>21606228</pmid><doi>10.1136/jcp.2010.087098</doi><tpages>4</tpages></addata></record>
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source MEDLINE; BMJ Journals - NESLi2; PubMed Central
subjects Adult
Age
Biological and medical sciences
Birth weight
Blood Glucose - metabolism
Body Mass Index
Diabetes
Diabetes, Gestational - blood
Diabetes, Gestational - diagnosis
Diabetes, Gestational - epidemiology
diagnostic screening
Family medical history
Fasting
Female
Glucose
Glucose Tolerance Test - statistics & numerical data
Humans
Insulin
Insulin resistance
Investigative techniques, diagnostic techniques (general aspects)
Maternal Age
Medical sciences
Metabolism
Middle Aged
Nigeria - epidemiology
Parity
Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques
Pregnancy
Pregnancy Trimesters
Prevalence
Regression Analysis
Risk Factors
Womens health
Young Adult
title Oral glucose tolerance testing outcomes among women at high risk for gestational diabetes mellitus
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