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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Clin. Diabetes Healthc.</journal-id>
<journal-title>Frontiers in Clinical Diabetes and Healthcare</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Clin. Diabetes Healthc.</abbrev-journal-title>
<issn pub-type="epub">2673-6616</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcdhc.2022.854332</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Clinical Diabetes and Healthcare</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence and Risk Factors Associated With Gestational Diabetes Mellitus Among Pregnant Women: A Cross-Sectional Study in Ghana</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Boadu</surname>
<given-names>Wina Ivy Ofori</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1504327"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kugblenu</surname>
<given-names>Philomina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1697053"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Senu</surname>
<given-names>Ebenezer</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1530244"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Opoku</surname>
<given-names>Stephen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1450903"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Anto</surname>
<given-names>Enoch Odame</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1089880"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health Science, Kwame Nkrumah University of Science and Technology</institution>, <addr-line>Kumasi</addr-line>, <country>Ghana</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Molecular Medicine, School of Medicine and Dentistry, College of Health Science, Kwame Nkrumah University of Science and Technology</institution>, <addr-line>Kumasi</addr-line>, <country>Ghana</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>School of Medical and Health Sciences, Centre for Precision Health, Edith Cowan University</institution>, <addr-line>Perth, WA</addr-line>, <country>Australia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Joseph M. Pappachan, Lancashire Teaching Hospitals NHS Foundation Trust, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: SiewMooi Ching, Universiti Putra Malaysia, Malaysia; Nora Abdelhady Khalil, University of Menoufia, Egypt</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Wina Ivy Ofori Boadu, <email xlink:href="mailto:iboadu@yahoo.com">iboadu@yahoo.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Diabetes and Pregnancy, a section of the journal Frontiers in Clinical Diabetes and Healthcare</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>3</volume>
<elocation-id>854332</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Boadu, Kugblenu, Senu, Opoku and Anto</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Boadu, Kugblenu, Senu, Opoku and Anto</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Gestational diabetes mellitus (GDM) is a global public health issue that have serious consequences on mother and her child&#x2019;s health. However, limited data is available on the prevalence of GDM and its associated risk factors in Ghana. This study investigated the prevalence and associated risk factors of GDM among women attending selected antenatal clinics in Kumasi, Ghana. This cross-sectional study included 200 pregnant women who attended antenatal clinics from Three-selected health facilities in the Ashanti Region, Ghana. Women already diagnosed of GDM were identified through their medical records and were confirmed based on the criteria of the International Association of Diabetes and Pregnancy Study Groups (IADPSG), which uses a fasting blood glucose of &#x2265; 5.1 mmol/L. A well-structured questionnaire was used to collect data on socio-demographic, obstetric, clinical and lifestyle risk factors. Multivariate logistic regression models were used to determine the independent risk factors of GDM. The overall prevalence of GDM among study participants was 8.5%. GDM was prevalent among age 26 and 30 years (41.2%), married participants (94.1%) with basic education (41.2%) and being Akan by ethnicity (52.9%). Previous history of oral contraceptive use (aOR: 13.05; 95% CI: 1.43&#x2013;119.23, p=0.023), previous history of preeclampsia (aOR: 19.30; 95% CI: 2.15-71.63; p=0.013) and intake of soda drinks (aOR: 10.05, 95% CI: 1.19&#x2013;84.73, p=0.034) were found to be independent risk factors of GDM. The prevalence of GDM was found to be 8.5% and this was associated with the previous use of oral contraceptives, history of preeclampsia and intake of soda drinks. Public health education and dietary lifestyle modification may be required for pregnant women who are at risk of GDM.</p>
</abstract>
<kwd-group>
<kwd>gestational diabetes mellitus</kwd>
<kwd>pregnant women</kwd>
<kwd>risk factors</kwd>
<kwd>prevalence</kwd>
<kwd>dietary lifestyle modification</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="1"/>
<ref-count count="24"/>
<page-count count="8"/>
<word-count count="3655"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Diabetes in pregnancy affects women in one of two ways: pregestational (which includes type 1 and type 2 diabetes) or gestational diabetes mellitus (GDM). By the 1950s, the word &#x201c;gestational diabetes&#x201d; had been coined to describe what was believed to be a temporary disease that had a negative impact on foetal outcomes and then disappeared after birth (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>GDM, is carbohydrate resistance that starts or is first recognized throughout pregnancy (<xref ref-type="bibr" rid="B2">2</xref>). This diagnosis does not extend to pregnant women who have already been diagnosed with diabetes before becoming pregnant. Gestational diabetes has a pathophysiology which is similar to that of type 2 diabetes. As the pregnancy progresses, tissue resistance to insulin increases, necessitating the use of more insulin (<xref ref-type="bibr" rid="B3">3</xref>). The demand is easily met in the vast majority of pregnancies, so the balance between insulin resistance and insulin supply is maintained. Women, on the other hand, become hyperglycaemic if resistance becomes dominant. This typically happens in the second trimester of pregnancy, with insulin resistance steadily increasing before delivery, and usually disappears quickly after delivery (<xref ref-type="bibr" rid="B4">4</xref>). In 2017, one in every seven births was diagnosed with GDM, according to the International Diabetes Federation (IDF) (<xref ref-type="bibr" rid="B5">5</xref>). Globally, the prevalence of GDM is estimated to be about 15%, according to a systemic review (<xref ref-type="bibr" rid="B6">6</xref>). GDM prevalence ranges from 2-6 percent in most racial/ethnic groups studied to, 10-20 percent in high-risk populations, with a growing trend across most racial/ethnic groups (<xref ref-type="bibr" rid="B7">7</xref>). Since ethnicity has such a strong impact on GDM, the prevalence rate varies by race. The prevalence of GDM in Sub-Saharan Africa is around 14% (<xref ref-type="bibr" rid="B8">8</xref>). As at 2014 in Ghana, GDM was discovered in 10% of pregnant women (<xref ref-type="bibr" rid="B9">9</xref>). The prevalence of gestational diabetes in Ghana is increasing at a very fast rate. In 2004 and 2015, studies conducted in Ghana indicated a prevalence of 0.5% and 9.3% respectively (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>The prevalence of GDM is projected to continue to increase due to the rising obesity epidemic, delayed childbearing, and multiple pregnancies (<xref ref-type="bibr" rid="B12">12</xref>). Gestational diabetes is known to have serious short and long-term effect on both the mother and foetus. GDM may cause pregnancy complications such as high blood pressure, heavy birth weight babies, and obstructed labour in the short term (<xref ref-type="bibr" rid="B11">11</xref>). GDM tends to be a major risk factor for the development of type 2 diabetes (T2D) and cardiovascular diseases in women (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). Obesity and T2D are more likely to occur in children whose mothers had diabetes during pregnancy (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>The development of gestational diabetes has been associated with several predisposing factors. These predisposing factors can be studied under lifestyle, obstetric, socio-demographic and clinical risk factors. Some of the obstetric risk factors associated with GDM includes previous abortion, parity and stillbirth (<xref ref-type="bibr" rid="B17">17</xref>). Socio-demographic risk factors studied so far also include age, ethnicity and family history of diabetes (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Clinical risk factors assessed are obesity and hypertension. Lifestyle risk factors like diet, physical activity, smoking and alcoholism are also known to have a link with GDM (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Despite the fact that urine dipstick has been accepted as the major screening criteria for GDM in Ghana, it is limited to renal threshold, hence most pregnant women who develop GDM later in their pregnancy are still excluded during regular screening programs for women. The risk factors of gestational diabetes can be used as a better diagnostic tool for early screening of women at risk hence it is necessary to identify the socio-demographic, obstetric, clinical and lifestyle risk factors of GDM. However, in Ghana and especially in greater Kumasi metropolis, there is no enough data on the risk factors associated with GDM. Therefore, this study is warranted.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Study Design and Settings</title>
<p>This study is a hospital-based multi-centre cross-sectional study, conducted at the Antenatal Clinics of Kwame Nkrumah University of Science and Technology Hospital, Kumasi South Hospital and Saint Michael&#x2019;s Hospital all in Kumasi Ghana, from April to July 2021.</p>
</sec>
<sec id="s2_2">
<title>Study Population and Selection</title>
<p>A simple randomised sampling method was used to recruit a total of 200 pregnant women aged 16-45 years with gestational period between 16 and 40 weeks who were attending regular antenatal clinic at three selected hospitals in the Ashanti Region of Ghana namely, the Kwame Nkrumah University Hospital, Kumasi South Hospital and St. Michael&#x2019;s Hospital. Ethical approval was sought from the Ethics Committee of the hospitals and The Committee on Human Research, Publication and Ethics, School of Medical Sciences, Kwame Nkrumah University of Science and Technology (CHRPE/AP/204/21). Thorough explanation of the study protocol and assurance of anonymity was made to the subjects. Written informed consent was also sought from participants and healthcare management prior to data and samples collection. Participants were first educated on the purpose of the study and only those who gave their consent to participate in the study were recruited. Diagnosis of GDMs was done by a Consultant/Specialist Obstetrician based on the criteria of the International Association of Diabetes and Pregnancy Study Groups (IADPSG), which uses a fasting blood glucose of &#x2265; 5.1 mmol/L (<xref ref-type="bibr" rid="B3">3</xref>). Pregnant women who were already diagnosed of diabetes before pregnancy were excluded.</p>
</sec>
<sec id="s2_3">
<title>Sample Size Justification</title>
<p>The sample size was obtained by the formula:</p>
<p>
<inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:mtext>n</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mi>z</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mi>p</mml:mi>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>p</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>, Where: Z is the standard normal variate at a confidence interval of 95% = 1.96.</p>
<p>p is the prevalence = 10% (<xref ref-type="bibr" rid="B10">10</xref>), e is the margin of error = 0.05.</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mtext>n&#xa0;(Minimum&#xa0;number&#xa0;of&#xa0;participants)</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mn>1.96</mml:mn>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>0.10</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.10</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mn>0.05</mml:mn>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfrac>
<mml:mo>=</mml:mo>
<mml:mn>138</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Hence a minimum of one hundred and thirty-eighty participants were needed for the study</p>
<p>A 95% confidence level, 50% response distribution, and 5% margin of error at a statistical power of 80% was employed in the calculation of the sample size. To increase statistical power, total of 200 participants were recruited for the study.</p>
</sec>
<sec id="s2_4">
<title>Data Collection</title>
<sec id="s2_4_1">
<title>Fasting Blood Glucose Measurement</title>
<p>A 3 millilitres of fasting blood samples were collected into fluoride tubes and centrifuged at 3000rpm at 5 minutes. Plasma was analysed for fasting blood glucose (FBG) levels using a fully automated clinical chemistry analyser (LE Scientific, China). Participants who gave their consent had their GDM status confirmed based on the IADPSG criteria using an FBG &#x2265; 5.1 and were asked to answer a standard questionnaire which provided information on their lifestyle, obstetrics, socio-demographics and clinical conditions.</p>
</sec>
<sec id="s2_4_2">
<title>Questionnaire</title>
<p>A well-structured questionnaire was used which had four sections. The first section of the questionnaire was used to assess socio-demographics such as age, ethnicity, Occupational status, family history of diabetes level of education was also, marital status and previous use of oral contraceptives. The second section of the questionnaire assessed the obstetric risk factors associated with gestational diabetes mellitus. This section focused on factors such as history of abortion parity, previous perinatal outcomes, history of caesarean section and gravidity. The third section was used to assess the clinical risk factors of GDM such as obesity, history of hypertension, and history of intrauterine foetal death among others. The fourth section of the questionnaire was used to assess lifestyle risk factors such as physical activity, smoking alcoholism and diet.</p>
</sec>
</sec>
<sec id="s2_5">
<title>Anthropometric Measurements</title>
<p>Anthropometric measurements such as weight and height were taken to obtain body mass index (BMI) of participants using the weighing scale and stadiometer, respectively. BMI was calculated as weight in kilograms divided by the square of the height in meters. The BMI was classified into 4 categories in accordance with the WHO standard BMI criteria for adults. The categories into; underweight (BMI&lt; 18.5 kg/m2), normal weight (BMI between 18.5 kg/m2 to 24.9 kg/m2), overweight (BMI: 25&#x2013;29.9 kg/m2), and obese (BMI &#x2265; 30 kg/m2).</p>
</sec>
<sec id="s2_6">
<title>Statistical Analysis</title>
<p>Collected data were entered in to Microsoft Excel 2016 and analysed using the Statistical Package for Social Sciences (SPSS) Version 23.0 (Chicago IL, USA) and Graph pad prism version 5.0 (Graph Pad software, San Diego California USA, <uri xlink:href="http://www.graphpad.com">www.graphpad.com</uri>).</p>
<p>A descriptive statistic was used to analyse the study variables. Continuous variables were represented by means (&#xb1; standard deviations) whilst categorical variables by numbers (%).</p>
<p>A bar chart was used to illustrate the prevalence of gestational diabetes among study participants. Univariate logistic regression analysis was performed to screen for potential socio-demographic, obstetric, clinical and lifestyle risk factors associated with gestational diabetes. Multivariate logistic regression modal was used to determine independent risk factors of gestational diabetes.</p>
<p>A p-value of less than 0.05 (<italic>p</italic> &lt; 0.05) and a confidence interval of 95% were chosen as the statistical significance level and confidence interval, respectively.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Sociodemographic and Clinical Characteristics of Study Participants</title>
<p>
<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the Sociodemographic and clinical characteristics of study participants. A total of 200 participants eligible for the study were included in the final statistical analysis. Of the total participants, one-third (29.5%) were found to be widely distributed between age categories 16 to 25 years followed by 31 to 35 years (28.5%). More than two-fifth of the participants had basic education (44.5%), majority were married (70.0%) and were Akans (69.5%). In addition, two-third of study participants had informal occupation (63.0%) with majority having no family history of hypertension (87.5%) or abortion (75.0%). Moreover, two-third of the participants had no record of previous oral contraceptives use (63.5%), and majority did not have any pregnancy related disorder (95.5%) and had not undergone any caesarean section (83.0%). History on the participant&#x2019;s previous obstetric risk factors shown that most of the pregnant women previously had termed and vertex delivery, live birth, no macrosomic baby and no previous history of GDM. This corresponds to (65.5%), (65.5%), (93.5%), (81.0%), (96.5%) respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics on socio-demographics and obstetric risk factors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Frequency (n = 200)</th>
<th valign="top" align="center">Percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Age category (Years)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">16-25</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">29.5</td>
</tr>
<tr>
<td valign="top" align="left">26-30</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">27.0</td>
</tr>
<tr>
<td valign="top" align="left">31-35</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">28.5</td>
</tr>
<tr>
<td valign="top" align="left">36-45</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">15.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Educational level</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No formal education</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">4.0</td>
</tr>
<tr>
<td valign="top" align="left">Basic education</td>
<td valign="top" align="center">89</td>
<td valign="top" align="center">44.5</td>
</tr>
<tr>
<td valign="top" align="left">Secondary education</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">31.5</td>
</tr>
<tr>
<td valign="top" align="left">Tertiary education</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">20.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Marital status</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">70.0</td>
</tr>
<tr>
<td valign="top" align="left">Cohabiting</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">17.5</td>
</tr>
<tr>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">17.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Ethnicity</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Akan</td>
<td valign="top" align="center">139</td>
<td valign="top" align="center">69.5</td>
</tr>
<tr>
<td valign="top" align="left">Ewe</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.5</td>
</tr>
<tr>
<td valign="top" align="left">Ga-Adangbe</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">3.0</td>
</tr>
<tr>
<td valign="top" align="left">Northerners</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">26.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Occupational status</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Unemployed</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">16.5</td>
</tr>
<tr>
<td valign="top" align="left">Informal</td>
<td valign="top" align="center">126</td>
<td valign="top" align="center">63.0</td>
</tr>
<tr>
<td valign="top" align="left">Formal</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">20.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Family history of hypertension</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">175</td>
<td valign="top" align="center">87.5</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">12.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>History of abortion</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">75.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">25.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous use of oral contraceptive</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">127</td>
<td valign="top" align="center">63.5</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">73</td>
<td valign="top" align="center">36.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Diagnosis of pregnancy related disorder (s)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">191</td>
<td valign="top" align="center">95.5</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">4.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous caesarean section</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">166</td>
<td valign="top" align="center">83.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">17.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous delivery status</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">27.0</td>
</tr>
<tr>
<td valign="top" align="left">Term</td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">65.5</td>
</tr>
<tr>
<td valign="top" align="left">Preterm</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">7.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous presentation at delivery</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">30.0</td>
</tr>
<tr>
<td valign="top" align="left">Vertex</td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">65.5</td>
</tr>
<tr>
<td valign="top" align="left">Breech</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">4.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous Birth outcomes</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Live birth</td>
<td valign="top" align="center">187</td>
<td valign="top" align="center">93.5</td>
</tr>
<tr>
<td valign="top" align="left">Stillbirth</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">6.5</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Clinical and Lifestyle Factors</title>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> shows the clinical and lifestyle characteristics of study participants. Majority of participants neither had preeclampsia (78.5%) nor gestational hypertension (93.0%). Clinically, two-fifth of the participants were overweight (46.2%), majority with no history of intrauterine foetal death (91.0%), threatened abortion (95.5%) or infertility (96.0%). Furthermore, the lifestyle risk factors assessed indicated more than half of the participants eat three times a day (52.5%), take snacks in between meals (56.6%), did not eat late night meals (65.0%) but take in fruits and vegetables regularly (81.5%). In addition, most of the participants exercise regularly (54.0%), and had high preference for carbohydrate food (61.0%) but did not take in neither soda drinks (58.5%) nor fast food (74.0%) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Baseline characteristics on clinical and lifestyle factors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Frequency (n = 200)</th>
<th valign="top" align="center">Percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Previous macrosomic baby</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">119</td>
<td valign="top" align="center">81.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">19.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous history of Preeclampsia</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">157</td>
<td valign="top" align="center">78.5</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">21.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous history of Gestational hypertension</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">186</td>
<td valign="top" align="center">93.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">7.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous history of GDM</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">193</td>
<td valign="top" align="center">96.5</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">3.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>History of intrauterine foetal death</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">182</td>
<td valign="top" align="center">91.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">9.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Threatened abortion</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">191</td>
<td valign="top" align="center">95.5</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">4.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>History of infertility</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">192</td>
<td valign="top" align="center">96.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">4.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Number of daily food intake</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Once</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.0</td>
</tr>
<tr>
<td valign="top" align="left">Twice</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">14.5</td>
</tr>
<tr>
<td valign="top" align="left">Thrice</td>
<td valign="top" align="center">105</td>
<td valign="top" align="center">52.5</td>
</tr>
<tr>
<td valign="top" align="left">Four time</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">22.5</td>
</tr>
<tr>
<td valign="top" align="left">More Than Four Times</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">9.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Snack in between meals</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">43.5</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">113</td>
<td valign="top" align="center">56.6</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Late night meals</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">130</td>
<td valign="top" align="center">65.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">35.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Regular intake of fruits and vegetables</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">18.5</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">163</td>
<td valign="top" align="center">81.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Regular exercise</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">46.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">108</td>
<td valign="top" align="center">54.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Number of exercises per week</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Daily</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">74.5</td>
</tr>
<tr>
<td valign="top" align="left">Once</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3.6</td>
</tr>
<tr>
<td valign="top" align="left">Twice</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">11.8</td>
</tr>
<tr>
<td valign="top" align="left">Thrice</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">4.5</td>
</tr>
<tr>
<td valign="top" align="left">More Than Four Times</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">5.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Intake of soda drinks</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">117</td>
<td valign="top" align="center">58.5</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">83</td>
<td valign="top" align="center">41.5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Fast food intake</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">148</td>
<td valign="top" align="center">74.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">26.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Preference for carbohydrate food</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Low</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">6.5</td>
</tr>
<tr>
<td valign="top" align="left">Moderate</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">32.5</td>
</tr>
<tr>
<td valign="top" align="left">High</td>
<td valign="top" align="center">122</td>
<td valign="top" align="center">61.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>BMI status</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">29.1</td>
</tr>
<tr>
<td valign="top" align="left">Overweight</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">46.2</td>
</tr>
<tr>
<td valign="top" align="left">Obese</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">24.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>GDM, Gestational diabetes mellitus; BMI, Body Mass Index.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Prevalence of Gestational Diabetes Mellitus</title>
<p>As shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, of the 200 patients eligible for this study, 17 had gestational diabetes which indicated a prevalence of 8.5% whereas 183 (91.5%) were non-GDM patients (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Prevalence of gestational diabetes mellitus (GDM) among study participants.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcdhc-03-854332-g001.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Risk Factors Associated With Gestational Diabetes Mellitus</title>
<p>
<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> shows the risk factors associated with gestational diabetes mellitus. In the preliminary univariate analysis, the following study variables had <italic>p</italic>&gt;0.05 and were excluded from the final multivariate logistic regression analysis modal; educational level, ethnicity, occupational status, history of abortion, previous caesarean section, preeclampsia, previous history of gestational diabetes, history of intrauterine foetal death, history of infertility, number of times participants eat in a day, snack in between meals, late night meal, regular exercise, and fast food intake. However, after adjusting for possible confounders in the final multivariate logistic regression model, the use of oral contraceptives [aOR = 13.05, 95%CI = (1.43-119.23), <italic>p</italic> = 0.023] previous history of preeclampsia (aOR: 19.30; 95% CI: 2.15-71.63; p=0.013) and intake of soda drink [aOR =10.05, 95%CI = (1.19-84.73), <italic>p</italic> = 0.034] (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Risk factors associated with gestational diabetes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variable </th>
<th valign="top" align="center">cOR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>-Value</th>
<th valign="top" align="center">aOR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Age category (Years)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">16-25</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">26-30</td>
<td valign="top" align="center">8.64 (1.03-72.71)</td>
<td valign="top" align="center">
<bold>0.047</bold>
</td>
<td valign="top" align="center">2.96 (0.12-73.33)</td>
<td valign="top" align="center">0.509</td>
</tr>
<tr>
<td valign="top" align="left">31-35</td>
<td valign="top" align="center">6.82 (0.80-58.59)</td>
<td valign="top" align="center">0.080</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">36-46</td>
<td valign="top" align="center">6.44 (0.64-64.85)</td>
<td valign="top" align="center">0.114</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Family history of hypertension</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">3.396 (1.08-10.64)</td>
<td valign="top" align="center">
<bold>0.036</bold>
</td>
<td valign="top" align="center">1.17 (0.10-14.37)</td>
<td valign="top" align="center">0.903</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Use of oral contraceptive</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">3.58 (1.26-10.13)</td>
<td valign="top" align="center">
<bold>0.016</bold>
</td>
<td valign="top" align="center">13.05 (1.43-119.23)</td>
<td valign="top" align="center">
<bold>0.023</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous history of preeclampsia</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">10.95 (2.62-45.79)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
<td valign="top" align="center">19.30 (2.15-71.62)</td>
<td valign="top" align="center">
<bold>0.013</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous perinatal outcomes</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Live birth</td>
<td valign="top" align="center">2.17 (0.46-10.26)</td>
<td valign="top" align="center">0.327</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Stillbirth</td>
<td valign="top" align="center">16.56 (2.74-100.24)</td>
<td valign="top" align="center">
<bold>0.002</bold>
</td>
<td valign="top" align="center">0.006 (0-0.51)</td>
<td valign="top" align="center">
<bold>0.025</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous macrosomic baby</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">4.89 (1.69-14.18)</td>
<td valign="top" align="center">
<bold>0.003</bold>
</td>
<td valign="top" align="center">3.38 (0.37-31.28)</td>
<td valign="top" align="center">0.283</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gestational hypertension</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">5.32 (1.47-19.32)</td>
<td valign="top" align="center">
<bold>0.011</bold>
</td>
<td valign="top" align="center">6.15 (0.34-110.06)</td>
<td valign="top" align="center">0.217</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Threatened abortion</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">18.65 (4.42-78.61)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
<td valign="top" align="center">10.15 (0.53-196.42)</td>
<td valign="top" align="center">0.125</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>BMI</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Overweight</td>
<td valign="top" align="center">2.31 (0.46-11.50)</td>
<td valign="top" align="center">0.308</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Obese</td>
<td valign="top" align="center">5.46 (1.10-27.09)</td>
<td valign="top" align="center">
<bold>0.038</bold>
</td>
<td valign="top" align="center">8.35 (0.34-205.13)</td>
<td valign="top" align="center">0.194</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Regular intake of fruits and vegetable</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">0.21 (0.08-0.59)</td>
<td valign="top" align="center">
<bold>0.003</bold>
</td>
<td valign="top" align="center">0.20 (0.02-1.61)</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Intake of soda drinks</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Ref (1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">7.71 (2.14-27.79)</td>
<td valign="top" align="center">
<bold>0.002</bold>
</td>
<td valign="top" align="center">10.05 (1.19-84.73)</td>
<td valign="top" align="center">
<bold>0.034</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Adjusted for age; cOR; Crude odd ratio, aOR; Adjusted odd ratio, CI; Confidence Interval, Ref; Reference, BMI; Body Mass Index; P-value &lt; 0.05 was considered significant. Bold values indicate significant p-values.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussions</title>
<p>Recently, the incidence of gestational diabetes mellitus (GDM) has increased globally and Africa is not an exception. This study therefore evaluated the prevalence and risk factors of GDM in Kumasi, Ghana. Our study observed a prevalence of 8.5% gestational diabetes mellitus cases among study participants. Previous use of oral contraceptive, and intake of soda drinks as the independent risk factors of gestational diabetes mellitus.</p>
<p>The present study prevalence of 8.5% gestational diabetes is in consistent with that of Anzaku et al. (<xref ref-type="bibr" rid="B20">20</xref>), who reported a prevalence of 8.3% among Nigerians (<xref ref-type="bibr" rid="B20">20</xref>). On the contrary, the observed prevalence of this study shows a decrease in the prevalence of gestational diabetes compared to that of Oppong et al. (<xref ref-type="bibr" rid="B10">10</xref>), who reported 10% prevalence gestational diabetes among Ghanaians. The observed difference in prevalence may be attributed to the present study recruited participants from a clinic setting as opposed to Oppong et&#xa0;al. study conducted at a teaching hospital. Surprisingly, majority of study participants had normal BMI and exercise regularly which explain why we observed a decreased in prevalence of gestational diabetes as compare to previous study reported among Ghanaians.</p>
<p>In this current study, we observed previous use of oral contraceptive as independent risk factor of gestational diabetes. This is in consistent with a study by Kramer et al. (<xref ref-type="bibr" rid="B21">21</xref>), who reported the use of oral contraceptives is associated with gestational diabetes (<xref ref-type="bibr" rid="B21">21</xref>). The agreement between the current and previous study provides evidence that hormonal contraceptive methods may increase a woman&#x2019;s risk for GDM since most oral contraceptives are made up of oestrogen and progesterone which in excess induces hypercortisolism and therefore leading to insulin resistance and hyperglycaemia in pregnancy.</p>
<p>Our study observed that, patients with history of preeclampsia were 19-fold more likely to develop GDM. Lee et al. (<xref ref-type="bibr" rid="B22">22</xref>), found preeclampsia to be associated with GDM in subsequent pregnancy. This can be explained that the two disease conditions share a common pathophysiology and are characterized by systemic endothelial dysfunction (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Another finding of this study was that intake of soda drinks is independently associated with GDM. This finding confirms previous study by Donazar-Ezcurra et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>), who reported dietary intake of soda have a strong association with weight gain and metabolic syndrome. This could be explained as leading to spike in insulin which worsen insulin sensitivity overtime thereby enhancing insulin resistance leading to hyperglycaemia.</p>
<p>Previous studies have shown that lifestyle risk factors such as history of smoking, alcoholism and regular exercise are also highly associated with GDM (<xref ref-type="bibr" rid="B24">24</xref>). On the contrary, this study did not show similar finding.</p>
<p>Even though the strength of the present study is that it is the first study to be reported in the metropolis, our use of a cross-sectional study design limits this study findings as the casual-effect relationship could not be established. Therefore, it is recommended that a cohort study design should be employed in subsequent studies to help assess more potential risk factors of GDM.</p>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p>This study evaluated the prevalence and risk factors associated with GDM in Kumasi, Ghana. We observed GDM prevalence of 8.5% among study participants, which was influenced by previous history of oral contraceptives use, history of preeclampsia and consumption of soda drink</p>
<p>It is recommended that pregnant women be educated on lifestyle modification and the need to reduce consumption of soda drinks and the use oral contraceptives.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by The Committee on Human Research, Publication and Ethics, School of Medical Sciences, Kwame Nkrumah University of Science and Technology. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>EOA, WB, and PK. Methodology: EOA, WB, and PK. Formal analysis, PK, ES, and SO. Investigation, WB, EOA, andPK. Original draft preparation, EOA, PK, SO, and ES. Supervision,EOA and WB. All authors listed reviewed, edited have made a substantial, direct, and intellectual contribution to the work and approved it for publication. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This study was funded by TiDi Foundation, a non-governmental funding body which supports student research with a seed fund of 140 dollars.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The authors are grateful to staffs of the maternity and medical records unit of Kumasi South Hospital, KUNST Hospital and St. Michael&#x2019;s Hospital Pramso as well as research assistants and volunteers who contributed in diverse ways for successful implementation of this study.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Buchanan</surname> <given-names>TA</given-names>
</name>
<name>
<surname>Xiang</surname> <given-names>AH</given-names>
</name>
</person-group>. <article-title>Gestational Diabetes Mellitus</article-title>. <source>J Clin Invest</source> (<year>2005</year>) <volume>115</volume>(<issue>3</issue>):<page-range>485&#x2013;91</page-range>. doi: <pub-id pub-id-type="doi">10.1172/JCI200524531</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Association</surname> <given-names>AD</given-names>
</name>
</person-group>. <article-title>Gestational Diabetes Mellitus</article-title>. <source>Diabetes Care</source> (<year>2004</year>) <volume>27</volume>:<fpage>S88</fpage>. doi: <pub-id pub-id-type="doi">10.2337/diacare.27.2007.S88</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Association</surname> <given-names>AD</given-names>
</name>
</person-group>. <article-title>Diagnosis and Classification of Diabetes Mellitus</article-title>. <source>Diabetes Care</source> (<year>2014</year>) <volume>37</volume>(<supplement>Supplement_1</supplement>):<page-range>S81&#x2013;90</page-range>. doi: <pub-id pub-id-type="doi">10.2337/dc14-S081</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ben-Haroush</surname> <given-names>A</given-names>
</name>
<name>
<surname>Yogev</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Hod</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Epidemiology of Gestational Diabetes Mellitus and Its Association With Type 2 Diabetes</article-title>. <source>Diabetic Med</source> (<year>2004</year>) <volume>21</volume>(<issue>2</issue>):<page-range>103&#x2013;13</page-range>. doi: <pub-id pub-id-type="doi">10.1046/j.1464-5491.2003.00985.x</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ogurtsova</surname> <given-names>K</given-names>
</name>
<name>
<surname>da Rocha Fernandes</surname> <given-names>J</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Linnenkamp</surname> <given-names>U</given-names>
</name>
<name>
<surname>Guariguata</surname> <given-names>L</given-names>
</name>
<name>
<surname>Cho</surname> <given-names>NH</given-names>
</name>
<etal/>
</person-group>. <article-title>IDF Diabetes Atlas: Global Estimates for the Prevalence of Diabetes for 2015 and 2040</article-title>. <source>Diabetes Res Clin Pract</source> (<year>2017</year>) <volume>128</volume>:<fpage>40</fpage>&#x2013;<lpage>50</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.diabres.2017.03.024</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mensah</surname> <given-names>GP</given-names>
</name>
<name>
<surname>van Rooyen</surname> <given-names>DR</given-names>
</name>
<name>
<surname>ten Ham-Baloyi</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>Nursing Management of Gestational Diabetes Mellitus in Ghana: Perspectives of Nurse-Midwives and Women</article-title>. <source>Midwifery</source> (<year>2019</year>) <volume>71</volume>:<fpage>19</fpage>&#x2013;<lpage>26</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.midw.2019.01.002</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Galtier</surname> <given-names>F</given-names>
</name>
</person-group>. <article-title>Definition, Epidemiology, Risk Factors</article-title>. <source>Diabetes Metab</source> (<year>2010</year>) <volume>36</volume>(<issue>6 Pt 2</issue>):<page-range>628&#x2013;51</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.diabet.2010.11.014</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mwanri</surname> <given-names>AW</given-names>
</name>
<name>
<surname>Kinabo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ramaiya</surname> <given-names>K</given-names>
</name>
<name>
<surname>Feskens</surname> <given-names>EJ</given-names>
</name>
</person-group>. <article-title>Gestational Diabetes Mellitus in Sub-Saharan Africa: Systematic Review and Metaregression on Prevalence and Risk Factors</article-title>. <source>Trop Med Int Health</source> (<year>2015</year>) <volume>20</volume>(<issue>8</issue>):<fpage>983</fpage>&#x2013;<lpage>1002</lpage>. doi: <pub-id pub-id-type="doi">10.1111/tmi.12521</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Asare-Anane</surname> <given-names>H</given-names>
</name>
<name>
<surname>Atbek</surname> <given-names>O</given-names>
</name>
<name>
<surname>Amanquah</surname> <given-names>SD</given-names>
</name>
</person-group>. <article-title>Risk Factors for Gestational Diabetes Mellitus Among Ghanaian Women at the Korle-Bu Teaching Hospital</article-title>. <source>Risk</source> (<year>2014</year>) <volume>4</volume>(<issue>12</issue>):<page-range>54&#x2013;6</page-range>.</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Oppong</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Ntumy</surname> <given-names>MY</given-names>
</name>
<name>
<surname>Amoakoh-Coleman</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ogum-Alangea</surname> <given-names>D</given-names>
</name>
<name>
<surname>Modey-Amoah</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Gestational Diabetes Mellitus Among Women Attending Prenatal Care at Korle-Bu Teaching Hospital, Accra, Ghana</article-title>. <source>Int J Gynecol Obstet</source> (<year>2015</year>) <volume>131</volume>(<issue>3</issue>):<page-range>246&#x2013;50</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.ijgo.2015.05.029</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Quansah</surname> <given-names>DY</given-names>
</name>
<name>
<surname>Boateng</surname> <given-names>D</given-names>
</name>
<name>
<surname>Kwantwi</surname> <given-names>LB</given-names>
</name>
</person-group>. <article-title>Overview of Gestational Diabetes Mellitus (GDM) in Ghana; a Call for Action</article-title>. <source>Diabetes Care</source> (<year>2018</year>) <volume>27</volume>:<fpage>88</fpage>&#x2013;<lpage>90</lpage>. doi: <pub-id pub-id-type="doi">10.19080/CRDOJ.2018.06.555694</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Durnwald</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Gestational Diabetes: Linking Epidemiology, Excessive Gestational Weight Gain, Adverse Pregnancy Outcomes, and Future Metabolic Syndrome</article-title>. <source>Semin Perinatol</source> (<year>2015</year>) <volume>39</volume>(<issue>4</issue>):<page-range>254&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1053/j.semperi.2015.05.002</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kaaja</surname> <given-names>R</given-names>
</name>
<name>
<surname>R&#xf6;nnemaa</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>Gestational Diabetes: Pathogenesis and Consequences to Mother and Offspring</article-title>. <source>Rev Diabet Stud RDS</source> (<year>2008</year>) <volume>5</volume>(<issue>4</issue>):<fpage>194</fpage>. doi: <pub-id pub-id-type="doi">10.1900/RDS.2008.5.194</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rautio</surname> <given-names>N</given-names>
</name>
<name>
<surname>Jokelainen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Korpi-Hy&#xf6;v&#xe4;lti</surname> <given-names>E</given-names>
</name>
<name>
<surname>Oksa</surname> <given-names>H</given-names>
</name>
<name>
<surname>Saaristo</surname> <given-names>T</given-names>
</name>
<name>
<surname>Peltonen</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Lifestyle Intervention in Prevention of Type 2 Diabetes in Women With a History of Gestational Diabetes Mellitus: One-Year Results of the FIN-D2D Project</article-title>. <source>J Womens Health</source> (<year>2014</year>) <volume>23</volume>(<issue>6</issue>):<page-range>506&#x2013;12</page-range>. doi: <pub-id pub-id-type="doi">10.1089/jwh.2013.4520</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vounzoulaki</surname> <given-names>E</given-names>
</name>
<name>
<surname>Khunti</surname> <given-names>K</given-names>
</name>
<name>
<surname>Abner</surname> <given-names>SC</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>BK</given-names>
</name>
<name>
<surname>Davies</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Gillies</surname> <given-names>CL</given-names>
</name>
</person-group>. <article-title>Progression to Type 2 Diabetes in Women With a Known History of Gestational Diabetes: Systematic Review and Meta-Analysis</article-title>. <source>BMJ</source> (<year>2020</year>) <volume>369</volume>:<fpage>1</fpage>&#x2013;<lpage>10</lpage>. doi: <pub-id pub-id-type="doi">10.1136/bmj.m1361</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ornoy</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Prenatal Origin of Obesity and Their Complications: Gestational Diabetes, Maternal Overweight and the Paradoxical Effects of Fetal Growth Restriction and Macrosomia</article-title>. <source>Reprod Toxicol</source> (<year>2011</year>) <volume>32</volume>(<issue>2</issue>):<page-range>205&#x2013;12</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.reprotox.2011.05.002</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>KW</given-names>
</name>
<name>
<surname>Ching</surname> <given-names>SM</given-names>
</name>
<name>
<surname>Ramachandran</surname> <given-names>V</given-names>
</name>
<name>
<surname>Yee</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hoo</surname> <given-names>FK</given-names>
</name>
<name>
<surname>Chia</surname> <given-names>YC</given-names>
</name>
<etal/>
</person-group>. <article-title>Prevalence and Risk Factors of Gestational Diabetes Mellitus in Asia: A Systematic Review and Meta-Analysis</article-title>. <source>BMC Pregnancy Childbirth</source> (<year>2018</year>) <volume>18</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s12884-018-2131-4</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khan</surname> <given-names>R</given-names>
</name>
<name>
<surname>Ali</surname> <given-names>K</given-names>
</name>
<name>
<surname>Khan</surname> <given-names>Z</given-names>
</name>
</person-group>. <article-title>Socio-Demographic Risk Factors of Gestational Diabetes Mellitus</article-title>. <source>Pakistan J Med Sci</source> (<year>2013</year>) <volume>29</volume>(<issue>3</issue>):<fpage>843</fpage>. doi: <pub-id pub-id-type="doi">10.12669/pjms.293.3629</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Carroll</surname> <given-names>X</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>G</given-names>
</name>
<name>
<surname>Turner</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Socioeconomic, Environmental and Lifestyle Factors Associated With Gestational Diabetes Mellitus: A Matched Case-Control Study in Beijing, China</article-title>. <source>Sci Rep</source> (<year>2018</year>) <volume>8</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>10</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-018-26412-6</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Anzaku</surname> <given-names>AS</given-names>
</name>
<name>
<surname>Musa</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Prevalence and Associated Risk Factors for Gestational Diabetes in Jos, North-Central, Nigeria</article-title>. <source>Arch Gynecol Obstet</source> (<year>2013</year>) <volume>287</volume>(<issue>5</issue>):<page-range>859&#x2013;63</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s00404-012-2649-z</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kramer</surname> <given-names>BA</given-names>
</name>
<name>
<surname>Kintzel</surname> <given-names>J</given-names>
</name>
<name>
<surname>Garikapaty</surname> <given-names>V</given-names>
</name>
</person-group>. <article-title>Peer Reviewed: Association Between Contraceptive Use and Gestational Diabetes: Missouri Pregnancy Risk Assessment Monitoring System, 2007&#x2013;2008</article-title>. <source>Prev Chronic Dis</source> (<year>2014</year>) <volume>11</volume>:<fpage>1</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.5888/pcd11.140059</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ouh</surname> <given-names>Y-T</given-names>
</name>
<name>
<surname>Ahn</surname> <given-names>KH</given-names>
</name>
<name>
<surname>Hong</surname> <given-names>SC</given-names>
</name>
<name>
<surname>Oh</surname> <given-names>M-J</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>H-J</given-names>
</name>
<etal/>
</person-group>. <article-title>Preeclampsia: A Risk Factor for Gestational Diabetes Mellitus in Subsequent Pregnancy</article-title>. <source>PloS One</source> (<year>2017</year>) <volume>12</volume>(<issue>5</issue>):<fpage>e0178150</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0178150</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Donazar-Ezcurra</surname> <given-names>M</given-names>
</name>
<name>
<surname>Lopez-del Burgo</surname> <given-names>C</given-names>
</name>
<name>
<surname>Martinez-Gonzalez</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Basterra-Gortari</surname> <given-names>FJ</given-names>
</name>
<name>
<surname>de Irala</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bes-Rastrollo</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Soft Drink Consumption and Gestational Diabetes Risk in the SUN Project</article-title>. <source>Clin Nutr</source> (<year>2018</year>) <volume>37</volume>(<issue>2</issue>):<page-range>638&#x2013;45</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.clnu.2017.02.005</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>McIntyre</surname> <given-names>HD</given-names>
</name>
<name>
<surname>Catalano</surname> <given-names>P</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Desoye</surname> <given-names>G</given-names>
</name>
<name>
<surname>Mathiesen</surname> <given-names>ER</given-names>
</name>
<name>
<surname>Damm</surname> <given-names>P</given-names>
</name>
</person-group>. <article-title>Gestational Diabetes Mellitus</article-title>. <source>Nat Rev Dis Primers</source> (<year>2019</year>) <volume>5</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>19</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41572-019-0098-8</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>