<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.1 20151215//EN" "JATS-journalpublishing1.dtd">
<article xml:lang="EN" article-type="research-article">

<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Clin Nutr Res</journal-id>
<journal-id journal-id-type="publisher-id">CNR</journal-id>
<journal-title-group>
<journal-title>Clinical Nutrition Research</journal-title>
</journal-title-group>
<issn pub-type="ppub">2287-3732</issn>
<issn pub-type="epub">2287-3740</issn>
<publisher>
<publisher-name>Korean Society of Clinical Nutrition</publisher-name>
</publisher>
</journal-meta>

<article-meta>
<article-id pub-id-type="doi">10.7762/cnr.2017.6.3.206</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Antidiabetic Effects of Gastric Banding Surgery in Morbidly Obese Patients with Type 2 Diabetes Mellitus</article-title>
</title-group>

<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid" authenticated="true">https://orcid.org/0000-0002-6206-4734</contrib-id>
<name>
<surname>Kim</surname>
<given-names>Yu-Jeng</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="fn" rid="FN1">*</xref>
</contrib>

<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid" authenticated="true">https://orcid.org/0000-0002-3859-7047</contrib-id>
<name>
<surname>Choi</surname>
<given-names>Ha-Neul</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="fn" rid="FN1">*</xref>
</contrib>

<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid" authenticated="true">https://orcid.org/0000-0001-9076-3244</contrib-id>
<name>
<surname>Lee</surname>
<given-names>Hong-Chan</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>

<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid" authenticated="true">https://orcid.org/0000-0001-8344-1386</contrib-id>
<name>
<surname>Yim</surname>
<given-names>Jung-Eun</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
</contrib-group>

<aff id="A1"><label>1</label>Department of Food and Nutrition, Changwon National University, Changwon 51140, <country>Korea</country>.</aff>
<aff id="A2"><label>2</label>Clinic B, Seoul 06035, <country>Korea</country>.</aff>

<author-notes>
<corresp>Correspondence to Jung-Eun Yim. Department of Food and Nutrition, Changwon National University, 20 Changwondaehak-ro, Uichang-gu, Changwon 51140, Korea. Tel: +82-55-213-3517, Fax: +82-55-281-7480, <email>jeyim@changwon.ac.kr</email>
</corresp>

<fn id="FN1" fn-type="equal">
 <p><sup>*</sup>Yu-Jeng Kim and Ha-Neul Choi contributed equally to this manuscript.</p>
</fn>
</author-notes>

<pub-date pub-type="ppub">
<month>07</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>28</day>
<month>07</month>
<year>2017</year>
</pub-date>
<volume>6</volume>
<issue>3</issue>
<fpage>206</fpage>
<lpage>214</lpage>

<history>
<date date-type="received">
<day>06</day>
<month>07</month>
<year>2017</year>
</date>
<date date-type="rev-recd">
<day>18</day>
<month>07</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>07</month>
<year>2017</year>
</date>
</history>

<permissions>
<copyright-statement>Copyright &#x00A9; 2017. The Korean Society of Clinical Nutrition</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>The Korean Society of Clinical Nutrition</copyright-holder>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc/4.0/">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://creativecommons.org/licenses/by-nc/4.0/">https://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>

<abstract>
<p>This study was performed to investigate the effect of gastric banding surgery on the improvement of glycated hemoglobin (HbA<sub>1c</sub>) of morbidly obese (MO) patients with type 2 diabetes mellitus (T2DM) with the consideration that obesity was associated with insulin resistance and T2DM. We retrospectively reviewed the medical records of 38 MO with T2DM patients and 50 MO patients. Pre-surgery and post-surgery data were analyzed a year later. The medical data from these patients, including sex, age, height, weight, body composition, HbA<sub>1c</sub>, triglyceride, total cholesterol, aspartate transaminase (AST), and alanine transaminase (ALT) were measured. There were significant reductions of body weight and body mass index (BMI), body fat, body fat percentage, waist-hip ratio, visceral fat, and obesity in each group before and after gastric banding surgery. Results of AST, ALT, and HbA<sub>1c</sub> had significant reductions in each group. For HbA<sub>1c</sub>, treatment rate was 71% in the MO group with T2DM with significant reduction of 22.8%. It is thought that a gastric banding surgery is one of the breakthrough methods not only for weight loss but also for the prevention of complication of the obese patients with T2DM. Thus, gastric banding surgery could be effective in controlling HbA<sub>1c</sub> in obese patients with type 2 diabetes mellitus.</p>
</abstract>

<kwd-group kwd-group-type="author">
<kwd>Morbidly obesity</kwd>
<kwd>Type 2 diabetes mellitus</kwd>
<kwd>Gastric banding surgery</kwd>
<kwd>Hemoglobin A1c</kwd>
</kwd-group>

<funding-group>
 <award-group>
  <funding-source country="KR">
   <institution-wrap>
    <institution>Changwon National University</institution>
    <institution-id institution-id-type="CrossRef">http://dx.doi.org/10.13039/</institution-id>
   </institution-wrap>
  </funding-source>
 </award-group>
</funding-group>

</article-meta>
</front>

<body>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p>Obesity is referred to as a serious health problem worldwide, shortening life, and threatening the quality of life [<xref ref-type="bibr" rid="B1">1</xref>]. The prevalence of adult obesity in Korea increased from 26.0% in 1998 to 31.7% in 2007 and remained at 33.2% in 2015 [<xref ref-type="bibr" rid="B2">2</xref><xref ref-type="bibr" rid="B3">3</xref>]. In addition, the prevalence of morbidly obese (MO) with body mass index (BMI) of 30 kg/m<sup>2</sup> or more was 3.1% in male and 3.6% in female over 20 years of age in 2010 compared with 1998, which is more than double [<xref ref-type="bibr" rid="B4">4</xref><xref ref-type="bibr" rid="B5">5</xref>]. According to the Korea National Health and Nutrition Examination Survey, the risk of complications such as hypertension, diabetes mellitus, and dyslipidemia was more than 2 times higher in obese people than people in normal weight [<xref ref-type="bibr" rid="B6">6</xref>].</p>
<p>In particular, type 2 diabetes mellitus (T2DM) has a higher relative risk of obesity than hypertension or other obesity complications [<xref ref-type="bibr" rid="B7">7</xref>]. It has been reported that visfatin secreted from visceral adipocyte, is closely related to the induction of complications of T2DM by directly contributing to insulin resistance [<xref ref-type="bibr" rid="B8">8</xref>]. Kenkel and Manning [<xref ref-type="bibr" rid="B9">9</xref>] reported that 60% of diabetic patients were associated with obesity, while Colditz [<xref ref-type="bibr" rid="B10">10</xref>] reported that about 57% of diabetic patients were associated with obesity. In Korea, the relative risk of T2DM was higher in the obese group than in the non-obese group [<xref ref-type="bibr" rid="B11">11</xref>]. The prevalence of T2DM in adults over 30 years of age has remained at around 9% since 2005, with 9.5% in 2015. The mortality rate from diabetes mellitus was 24.0% in 2005 and 20.7% in 2015 [<xref ref-type="bibr" rid="B2">2</xref><xref ref-type="bibr" rid="B3">3</xref>].</p>
<p>Methods for treating obesity include surgical and non-surgical methods such as diet, exercise, behavioral therapy, and medication [<xref ref-type="bibr" rid="B13">13</xref>]. The bariatric surgery methods include adjustable gastric banding, laparoscopic adjustable gastric banding (LAGB), sleeve gastrectomy, Roux-en-Y gastric bypass (RYGB). Bariatric surgery has been used as a treatment for obesity in the US and has increased 9-fold from 13,386 in 1998 to 121,055 in 2007 [<xref ref-type="bibr" rid="B11">11</xref>]. In Korea, the rate of bariatric surgery increased sharply from 139 in 2003 to 1,687 in 2013 [<xref ref-type="bibr" rid="B14">14</xref>]. Many studies have reported that bariatric surgery is effective not only for obesity, but also for diabetes treatment [<xref ref-type="bibr" rid="B15">15</xref>]. Improvement of T2DM has been reported after sleeve gastrectomy for the treatment of MO patients [<xref ref-type="bibr" rid="B16">16</xref>]. In addition, in cases of MO diabetic patients, the bariatric surgery group showed improvement in physical health and quality of life compared with the non-surgery group [<xref ref-type="bibr" rid="B12">12</xref>]. However, the studies on LAGB surgery have been limited to studies on obesity treatment, and studies on the effect of LAGB surgery in morbid obese diabetic on diabetes improvement have been lacking in Korea [<xref ref-type="bibr" rid="B17">17</xref><xref ref-type="bibr" rid="B18">18</xref>]. Therefore, in this study, we investigate the effect of LAGB surgery on the improvement of MO patients with T2DM.</p>
</sec>

<sec sec-type="materials|methods">
<title>MATERIALS AND METHODS</title>
<sec>
<title>Subjects</title>
<p>This was a retrospective study, using patients' medical records at C surgical hospital in Seoul. We analyzed data from MO patients who received LAGB surgery with or without T2DM. The study included data collected during April 2014 to March 2016. The subjects' medical records included information on sex, age, height, weight, body composition, blood pressure, and blood metabolic profiles. Changwon National University's Institutional Review Board (IRB) approved this retrospective medical record review (IRB No. 104027-201604-HR-006). We analyzed their medical record before LAGB and a year after LAGB. Subjects whose BMI were less than 30 kg/m<sup>2</sup>, under 18 years of age and absent medical record before and after LAGB were excluded from the study. The participants were divided into 2 groups according to their glycated hemoglobin (HbA<sub>1c</sub>) levels. The number of total subjects included was 88; of whom 38 with high HbA<sub>1c</sub> levels (&gt; 6.5%) were in the MO with T2DM (MOD) group and 50 subjects with HbA<sub>1c</sub> less than 6.5% were in the MO group.</p>
</sec>
<sec>
<title>Anthropometric analysis</title>
<p>For all the subjects, anthropometric measurements were measured. Height and weight were recorded to the nearest 0.1 cm and 0.1 kg using an automatic height-weight scale. BMI was calculated by dividing weight (kg) by height squared (m<sup>2</sup>). Percent body fat, lean body mass, body water, obesity degree, and visceral fat area were measured by bioimpedance analysis (Inbody 3.0; Biospace, Seoul, Korea). Waist and hip circumference were measured with a flexible measuring tape. Waist circumference was measured between the costal inferior border and the iliac crest. Hip circumference was measured at the widest point of the hip.</p>
</sec>
<sec>
<title>Biochemical analysis</title>
<p>All blood samples were sent to the Green Cross Laboratory (Yongin, Korea) for analysis. The analysis of HbA<sub>1c</sub>, hemoglobin (Hb), hematocrit (Ht), albumin, triglyceride (TG), total cholesterol (TC), aspartate transaminase (AST), and alanine transaminase (ALT) were commissioned.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analyses were performed using SPSS software version 21.0 (IBM SPSS Statistics for Windows; IBM Corp., Armonk, NY, USA). Measurement data were presented as mean &#x00B1; standard deviation (SD). The difference between the MOD and MO groups was analyzed using t-test. The values for pre-operation and a year after operation were compared using paired t-test. In addition, categorical data were compared using the &#x03C7;<sup>2</sup> test. All statistical results were verified with the significance level set at p &lt; 0.05.</p>
</sec>
</sec>

<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>General characteristics</title>
<p>General characteristics of the MOD and MO groups are summarized in <xref ref-type="table" rid="T1">Table 1</xref>. In the MOD group, 5 males and 33 females participated; and in the MO group, 6 males and 44 females participated. There were no differences between the 2 groups in weight, height, BMI, and blood pressure. However, severe obese patients with a BMI over 40 in the MOD group were more than those in the MO group. In the MOD group, 10 and 12 subjects had hyperlipidemia and hypertension, respectively; and in the MO group, 6 and 4 subjects had hyperlipidemia and hypertension, respectively. Thus, patients with hyperlipidemia and hypertension were more frequently found in the MOD group.</p>
<table-wrap id="T1" position="float">
<?Table Large?>
<label>Table 1</label>
<caption>
<title>General characteristics in MOD and MO patients</title>
</caption>
<alternatives>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="cnr-6-206-i001"></graphic>
<table frame="hsides" rules="rows">
<col width="3.09%"/>
<col width="28.09%"/>
<col width="22.94%"/>
<col width="22.94%"/>
<col width="22.94%"/>
<thead>
<tr>
<th valign="top" align="left" rowspan="1" colspan="2" style="background-color:rgb(218,235,193)">Variables</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">MOD (n = 38)</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">MO (n = 50)</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">Total (n = 88)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="1" colspan="2">Sex</td>
<td valign="top" align="center" rowspan="1" colspan="1"></td>
<td valign="top" align="center" rowspan="1" colspan="1"></td>
<td valign="top" align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"></td>
<td valign="top" align="left" rowspan="1" colspan="1">Female</td>
<td valign="top" align="center" rowspan="1" colspan="1">33 (86.84)</td>
<td valign="top" align="center" rowspan="1" colspan="1">44 (88.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1">77 (87.50)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"></td>
<td valign="top" align="left" rowspan="1" colspan="1">Male</td>
<td valign="top" align="center" rowspan="1" colspan="1">5 (13.16)</td>
<td valign="top" align="center" rowspan="1" colspan="1">6 (22.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1">11 (12.50)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="2" style="background-color:rgb(235,244,222)">Age, yr</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">36.5 &#x00b1; 10.2</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">32.6 &#x00b1; 7.5</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">34.3 &#x00b1; 8.9</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)"></td>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">18&#x2013;29</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">10 (26.32)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">21 (42.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">31 (35.23)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)"></td>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">30&#x2013;39</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">13 (34.21)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">21 (42.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">44 (50.00)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)"></td>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">40&#x2013;49</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">11 (28.95)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">7 (14.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">18 (20.45)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)"></td>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">50&#x2013;59</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">4 (10.53)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">1 (7.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">5 (5.68)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="2">Height, cm</td>
<td valign="top" align="center" rowspan="1" colspan="1">164.1 &#x00b1; 8.0</td>
<td valign="top" align="center" rowspan="1" colspan="1">163.1 &#x00b1; 5.9</td>
<td valign="top" align="center" rowspan="1" colspan="1">163.6 &#x00b1; 6.9</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="2" style="background-color:rgb(235,244,222)">Weight, kg</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">103.0 &#x00b1; 19.3</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">97.6 &#x00b1; 22.3</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">99.9 &#x00b1; 21.1</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="2">BMI, kg/m<sup>2</sup></td>
<td valign="top" align="center" rowspan="1" colspan="1">38.1 &#x00b1; 6.1</td>
<td valign="top" align="center" rowspan="1" colspan="1">36.7 &#x00b1; 8.3</td>
<td valign="top" align="center" rowspan="1" colspan="1">37.3 &#x00b1; 7.4</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"></td>
<td valign="top" align="left" rowspan="1" colspan="1">30.0&#x2013;34.9</td>
<td valign="top" align="center" rowspan="1" colspan="1">11 (28.95)</td>
<td valign="top" align="center" rowspan="1" colspan="1">22 (44.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1">33 (37.50)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"></td>
<td valign="top" align="left" rowspan="1" colspan="1">35.0&#x2013;39.9</td>
<td valign="top" align="center" rowspan="1" colspan="1">9 (23.68)</td>
<td valign="top" align="center" rowspan="1" colspan="1">18 (36.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1">27 (30.68)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"></td>
<td valign="top" align="left" rowspan="1" colspan="1">&#x2265; 40.0</td>
<td valign="top" align="center" rowspan="1" colspan="1">18 (47.37)</td>
<td valign="top" align="center" rowspan="1" colspan="1">10 (20.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1">28 (31.82)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="2" style="background-color:rgb(235,244,222)">SBP, mmHg</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">135.4 &#x00b1; 16.0</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">129.0 &#x00b1; 13.7</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">131.8 &#x00b1; 15.0</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="2">DBP, mmHg</td>
<td valign="top" align="center" rowspan="1" colspan="1">83.5 &#x00b1; 20.4</td>
<td valign="top" align="center" rowspan="1" colspan="1">78.9 &#x00b1; 13.7</td>
<td valign="top" align="center" rowspan="1" colspan="1">80.9 &#x00b1; 16.1</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="2" style="background-color:rgb(235,244,222)">Pulse, bpm</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">90.9 &#x00b1; 12.6</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">93.2 &#x00b1; 14.4</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">92.2 &#x00b1; 13.6</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="2">Hyperlipidemia</td>
<td valign="top" align="center" rowspan="1" colspan="1"></td>
<td valign="top" align="center" rowspan="1" colspan="1"></td>
<td valign="top" align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"></td>
<td valign="top" align="left" rowspan="1" colspan="1">Yes</td>
<td valign="top" align="center" rowspan="1" colspan="1">10 (26.32)</td>
<td valign="top" align="center" rowspan="1" colspan="1">6 (12.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1">16 (18.18)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"></td>
<td valign="top" align="left" rowspan="1" colspan="1">No</td>
<td valign="top" align="center" rowspan="1" colspan="1">28 (73.68)</td>
<td valign="top" align="center" rowspan="1" colspan="1">44 (88.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1">72 (81.82)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="2" style="background-color:rgb(235,244,222)">Hypertension</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)"></td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)"></td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)"></td>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">Yes</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">12 (31.58)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">4 (8.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">16 (18.18)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)"></td>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">No</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">26 (68.42)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">46 (92.00)</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">72 (81.82)</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<p>Values are presented as number (%) or mean &#x00B1; standard deviation. Analyzed using t-test for continuous variables and &#x03C7;<sup>2</sup> test for categorical variables between the groups (MOD vs. MO).</p>
<p>MOD, morbidly obese patients with diabetes; MO, morbidly obese; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Changes in anthropometric indices after gastric banding surgery</title>
<p>Anthropometrics parameters are presented in <xref ref-type="table" rid="T2">Table 2</xref>. The result of anthropometrics indices before and after surgery showed significant reduction of body weight, BMI, body fat, fat-free mass (FFM), waist/hip ratio, visceral fat area, and obesity degree in the MOD and MO groups (p &lt; 0.001). Especially, the decrease rate of the visceral fat area was the highest among the anthropometric measurement both in the MOD and MO groups (&#x2212;36.3% &#x00B1; 24.6% and &#x2212;46.9% &#x00B1; 25.3%, respectively). The changes in anthropometric indices of MO group before and after surgery were higher than those of MOD group, but there was no significant difference between the 2 groups.</p>
<table-wrap id="T2" position="float">
<?Table Large?>
<label>Table 2</label>
<caption>
<title>The changes of anthropometric parameters in MOD and MO patients after gastric banding surgery</title>
</caption>
<alternatives>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="cnr-6-206-i002"></graphic>
<table frame="hsides" rules="rows">
<col width="21.65%"/>
<col width="14.12%"/>
<col width="14.12%"/>
<col width="10.82%"/>
<col width="14.12%"/>
<col width="14.12%"/>
<col width="11.06%"/>
<thead>
<tr>
<th valign="top" align="left" rowspan="2" colspan="1" style="background-color:rgb(218,235,193)">Variables</th>
<th valign="top" align="center" rowspan="1" colspan="3" style="background-color:rgb(218,235,193)">MOD</th>
<th valign="top" align="center" rowspan="1" colspan="3" style="background-color:rgb(218,235,193)">MO</th>
</tr>
<tr>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">T0</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">T1</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">p<sup>*</sup></th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">T0</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">T1</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">p<sup>*</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Weight, kg</td>
<td valign="top" align="center" rowspan="1" colspan="1">102.9 &#x00b1; 19.2</td>
<td valign="top" align="center" rowspan="1" colspan="1">82.5 &#x00b1; 18.6</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1">97.4 &#x00b1; 21.8</td>
<td valign="top" align="center" rowspan="1" colspan="1">73.7 &#x00b1; 18.6</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">BMI, kg/m<sup>2</sup></td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">38.1 &#x00b1; 6.1</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">30.6 &#x00b1; 5.9</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">36.6 &#x00b1; 8.0</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">27.6 &#x00b1; 6.3</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Body fat, %</td>
<td valign="top" align="center" rowspan="1" colspan="1">45.4 &#x00b1; 6.2</td>
<td valign="top" align="center" rowspan="1" colspan="1">36.2 &#x00b1; 7.6</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1">44.4 &#x00b1; 7.1</td>
<td valign="top" align="center" rowspan="1" colspan="1">33.7 &#x00b1; 9.0</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">Body fat, kg</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">47.3 &#x00b1; 12.9</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">31.1 &#x00b1; 13.0</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">44.2 &#x00b1; 15.6</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">26.1 &#x00b1; 13.7</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">FFM, kg</td>
<td valign="top" align="center" rowspan="1" colspan="1">55.6 &#x00b1; 52.1</td>
<td valign="top" align="center" rowspan="1" colspan="1">52.1 &#x00b1; 47.7</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1">53.2 &#x00b1; 8.6</td>
<td valign="top" align="center" rowspan="1" colspan="1">47.7 &#x00b1; 7.3</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">Waist/hip ratio</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">1.0 &#x00b1; 0.1</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">0.9 &#x00b1; 0.1</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">1.0 &#x00b1; 0.0</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">0.9 &#x00b1; 0.1</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Vfat, cm<sup>2</sup></td>
<td valign="top" align="center" rowspan="1" colspan="1">180.5 &#x00b1; 55.1</td>
<td valign="top" align="center" rowspan="1" colspan="1">112.7 &#x00b1; 52.7</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1">169.1 &#x00b1; 83.0</td>
<td valign="top" align="center" rowspan="1" colspan="1">85.3 &#x00b1; 58.7</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">Obesity degree, %</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">179.6 &#x00b1; 28.7</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">144.1 &#x00b1; 27.5</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">172.7 &#x00b1; 37.5</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">130.2 &#x00b1; 29.0</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<p>Values are mean &#x00B1; standard deviation.</p>
<p>MOD, morbidly obese patients with diabetes; MO, morbidly obese; T0, at baseline; T1, after gastric banding surgery; BMI, body mass index; FFM, fat-free mass; Vfat, visceral fat area.</p>
<p><sup>*</sup>T0 vs. T1 by t-test.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Changes in metabolic profiles after gastric banding surgery</title>
<p>Blood biochemical analyses before and after LAGB are presented in <xref ref-type="table" rid="T3">Table 3</xref>. The results showed that the levels of AST, ALT, and HbA<sub>1c</sub> had significant reduction in each group. Although AST and ALT, as indicators of liver function, were higher than normal range prior to surgery, it was within normal range after the surgery in both groups and thus it was shown that the surgery was also effective in the treatment of fatty liver. For HbA<sub>1c</sub>, treatment rate was 71% in the MO group with T2DM with significant reduction of 22.8%, and there were 6.1% of significant reduction in general MO patients. It was found in this study that the reduction of HbA<sub>1c</sub> was greater as the pre-operative early body weight was heavier.</p>
<table-wrap id="T3" position="float">
<?Table Large?>
<label>Table 3</label>
<caption>
<title>The changes of biochemical parameters in MOD and MO patients after gastric banding surgery</title>
</caption>
<alternatives>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="cnr-6-206-i003"></graphic>
<table frame="hsides" rules="rows">
<col width="9.94%"/>
<col width="15.77%"/>
<col width="13.39%"/>
<col width="13.39%"/>
<col width="10.58%"/>
<col width="13.39%"/>
<col width="13.39%"/>
<col width="10.15%"/>
<thead>
<tr>
<th valign="top" align="left" rowspan="2" colspan="1" style="background-color:rgb(218,235,193)">Variables</th>
<th valign="top" align="center" rowspan="2" colspan="1" style="background-color:rgb(218,235,193)">Normal range</th>
<th valign="top" align="center" rowspan="1" colspan="3" style="background-color:rgb(218,235,193)">MOD</th>
<th valign="top" align="center" rowspan="1" colspan="3" style="background-color:rgb(218,235,193)">MO</th>
</tr>
<tr>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">T0</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">T1</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">p<sup>*</sup></th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">T0</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">T1</th>
<th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,235,193)">p<sup>*</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Hb</td>
<td valign="top" align="left" rowspan="1" colspan="1">12.7&#x2013;17.1 g/dL</td>
<td valign="top" align="center" rowspan="1" colspan="1">14.2 &#x00b1; 1.2</td>
<td valign="top" align="center" rowspan="1" colspan="1">13.5 &#x00b1; 1.4</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1">13.9 &#x00b1; 1.1</td>
<td valign="top" align="center" rowspan="1" colspan="1">13.8 &#x00b1; 1.1</td>
<td valign="top" align="right" rowspan="1" colspan="1">0.214</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">Ht</td>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">38.0%&#x2013;53.0%</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">43.4 &#x00b1; 2.6</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">40.7 &#x00b1; 3.8</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">42.4 &#x00b1; 2.8</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">40.9 &#x00b1; 2.7</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Albumin</td>
<td valign="top" align="left" rowspan="1" colspan="1">3.5&#x2013;5.2 g/dL</td>
<td valign="top" align="center" rowspan="1" colspan="1">4.5 &#x00b1; 0.2</td>
<td valign="top" align="center" rowspan="1" colspan="1">4.4 &#x00b1; 0.3</td>
<td valign="top" align="right" rowspan="1" colspan="1">0.048</td>
<td valign="top" align="center" rowspan="1" colspan="1">4.5 &#x00b1; 0.3</td>
<td valign="top" align="center" rowspan="1" colspan="1">4.5 &#x00b1; 0.3</td>
<td valign="top" align="right" rowspan="1" colspan="1">0.840</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">TG</td>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 200 mg/dL</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">261.4 &#x00b1; 173.9</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">137.1 &#x00b1; 76.6</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">186.8 &#x00b1; 103.3</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">116.4 &#x00b1; 82.7</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">TC</td>
<td valign="top" align="left" rowspan="1" colspan="1">&lt; 230 mg/dL</td>
<td valign="top" align="center" rowspan="1" colspan="1">211.6 &#x00b1; 31.6</td>
<td valign="top" align="center" rowspan="1" colspan="1">207.1 &#x00b1; 36.3</td>
<td valign="top" align="right" rowspan="1" colspan="1">0.610</td>
<td valign="top" align="center" rowspan="1" colspan="1">203.1 &#x00b1; 30.9</td>
<td valign="top" align="center" rowspan="1" colspan="1">196.8 &#x00b1; 44.6</td>
<td valign="top" align="right" rowspan="1" colspan="1">0.299</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">AST</td>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">0&#x2013;32 IU/L</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">39.7 &#x00b1; 30.1</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">24.9 &#x00b1; 17.2</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">35.6 &#x00b1; 22.0</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">20.4 &#x00b1; 7.5</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">ALT</td>
<td valign="top" align="left" rowspan="1" colspan="1">0&#x2013;33 IU/L</td>
<td valign="top" align="center" rowspan="1" colspan="1">54.4 &#x00b1; 39.7</td>
<td valign="top" align="center" rowspan="1" colspan="1">19.4 &#x00b1; 9.9</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1">40.1 &#x00b1; 31.0</td>
<td valign="top" align="center" rowspan="1" colspan="1">15.3 &#x00b1; 7.5</td>
<td valign="top" align="right" rowspan="1" colspan="1">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">HbA<sub>1c</sub></td>
<td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 6.5%</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">8.3 &#x00b1; 1.9</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">6.4 &#x00b1; 1.5</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">5.8 &#x00b1; 0.4</td>
<td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">5.4 &#x00b1; 0.3</td>
<td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(235,244,222)">&lt; 0.001</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<p>Values are mean &#x00B1; standard deviation.</p>
<p>MOD, morbidly obese patients with diabetes; MO, morbidly obese; T0, at baseline; T1, after gastric banding surgery; Hb, hemoglobin; Ht, hematocrit; TG, triglycerides; TC, total cholesterol; AST, aspartate transaminase; ALT, alanine transaminase; HbA<sub>1c</sub>, glycated hemoglobin.</p>
<p><sup>*</sup>T0 vs. T1 by t-test.</p>
</table-wrap-foot>
</table-wrap>
<p>The ratio of changes in metabolic profiles after surgery is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. The levels of TG and TC were not significantly change after LAGB of the MOD (&#x2212;39.3% &#x00B1; 33.4% and &#x2212;2.9% &#x00B1; 27.0%, respectively) and MO (&#x2212;29.7% &#x00B1; 38.4% and &#x2212;2.3% &#x00B1; 21.9%, respectively) groups. There were no significant differences in AST and ALT levels in the MOD (&#x2212;19.7% &#x00B1; 53.2% and &#x2212;53.4% &#x00B1; 31.0%, respectively) and MO (&#x2212;26.6% &#x00B1; 40.5% and &#x2212;48.6% &#x00B1; 32.8%, respectively) groups. LAGB surgery significantly lowered HbA<sub>1c</sub> levels in the MOD group (&#x2212;22.8% &#x00B1; 10.5%) compared with those in the MO group (&#x2212;6.1% &#x00B1; 6.7%, p &lt; 0.05).</p>
<fig id="F1" position="float" fig-type="figure">
<?Figure Small?>
<label>Figure 1</label>
<caption>
<p>The ratio of changes of biochemical parameters in MOD and MO patients.</p>
<p>MOD, morbidly obese patients with diabetes; MO, morbidly obese; TG, triglycerides; TC, total cholesterol; AST, aspartate transaminase; ALT, alanine transaminase; HbA<sub>1c</sub>, glycated hemoglobin.</p>
<p><sup>*</sup>Significantly different between the values at MOD and MO groups by paired t-test (p &lt; 0.05).</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="cnr-6-206-g001"></graphic>
</fig>
</sec>
</sec>

<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>This study investigated the effect of LAGB surgery on the improvement of HbA<sub>1c</sub> of MO patients with T2DM with the consideration that obesity was associated with insulin resistance and T2DM. This is a retrospective study using the medical records of pre- and post-operative 38 MO patients with T2DM and 50 MO patients among patients who have undergone LAGB.</p>
<p>A total of 88 patients were selected as the study subjects, and analysis was performed by classifying people with &#x2265; 6.5% of HbA<sub>1c</sub> as the group of MOD and people with &lt; 6.5% as the group of MO in reference of HbA<sub>1c</sub> of 6.5%. In this study, the mean age, weight, and BMI were 34.3 &#x00B1; 8.9 years, 99.9 &#x00B1; 21.1 kg, and 37.3 &#x00B1; 7.4 kg/m<sup>2</sup>, respectively, which was similar to those of Kim et al. [<xref ref-type="bibr" rid="B13">13</xref>]. In the present study, there were no significant differences in pre-operative anthropometric data between the 2 groups. Schindler et al.'s study [<xref ref-type="bibr" rid="B17">17</xref>], in the obesity study, the mean weight of the subjects was 127.5 &#x00B1; 4.1 kg and the mean BMI was 44.8 &#x00B1; 1.0 kg/m<sup>2</sup>. In Giusti et al.'s study [<xref ref-type="bibr" rid="B18">18</xref>], the mean weight of the subjects was 118.6 &#x00B1; 14.5 kg and BMI was 43.6 kg/m<sup>2</sup>. These results indicate that the standard of BMI for obesity, according to the World Health Organization (WHO) criteria, is lower in Korea than in Western countries [<xref ref-type="bibr" rid="B19">19</xref>]. Our study showed that body weight, body fat, FFM, waist/hip ratio, and visceral fat area decreased after LAGB compared to pre-operation (<xref ref-type="table" rid="T2">Table 2</xref>). Body weight decreased from 102.9 &#x00B1; 19.2 kg to 82.5 &#x00B1; 18.6 kg in the MOD group, and decreased from 97.4 &#x00B1; 21.8 kg to 73.7 &#x00B1; 18.6 kg in the MO group. Patients in both groups showed significant decreases in their body weight as compared to the pre-operation. BMI decreased significantly from 38.1 &#x00B1; 6.1 kg/m<sup>2</sup> to 30.6 &#x00B1; 5.9 kg/m<sup>2</sup> and from 27.6 &#x00B1; 6.3 kg/m<sup>2</sup> to 36.6 &#x00B1; 8.0 kg/m<sup>2</sup>, in the MOD and MO group, respectively. Therefore, it was found that weight loss continued after surgery. This decrease in body weight and BMI was similar to that of RYGB reported by Kim et al. [<xref ref-type="bibr" rid="B13">13</xref>]. In addition, the rate of change for visceral fat area in the MOD and MO group significantly decreased compared to pre-operation (&#x2212;36.3% &#x00B1; 24.6% and &#x2212;46.9% &#x00B1; 25.3%, respectively). Visceral fat obesity was defined by obese subjects with visceral-subcutaneous fat ratio (V/S ratio) of &#x2265; 0.4, whereas obese subjects with V/S ratio of &lt; 0.4 were defined as subcutaneous fat obesity [<xref ref-type="bibr" rid="B20">20</xref>]. Visceral fat is one of the predictors of cardiovascular disease (CVD). Also, visceral fat obesity is thought to be a basic pathology for metabolic syndrome (MS) [<xref ref-type="bibr" rid="B21">21</xref>]. We also found that the LAGB caused decrease in body fat mass of the MOD and MO groups. These findings are in line with previous studies demonstrating that LAGB decreased body fat mass [<xref ref-type="bibr" rid="B18">18</xref>]. This is similar to the decrease rate in body fat mass 27.3% in Giusti et al. [<xref ref-type="bibr" rid="B18">18</xref>]. However, Carey et al. [<xref ref-type="bibr" rid="B22">22</xref>], significant decreases in body weight (&#x2212;50.9 kg) and body fat mass (&#x2212;75.2%) were observed from pre-surgery to post-bariatric surgery. Carey et al.'s study [<xref ref-type="bibr" rid="B22">22</xref>] showed that the body fat reduction rate was higher than that in our study, but this result may be due to the difference according to the operation method. These results demonstrate that LAGB decreased body fat mass, body weight, and the risk of obesity related complications in MO patients with or without T2DM.</p>
<p>In this study, LAGB significantly reduced the HbA<sub>1c</sub> level from 8.3% &#x00B1; 1.9% to 6.4% &#x00B1; 1.5% in the obese diabetic patients. Among the total T2DM, 71% of subjects (21 patients) showed decrease in HbA<sub>1c</sub> less than 6.5%. Swedish obese subject (SOS)'s study [<xref ref-type="bibr" rid="B23">23</xref>], Buchwald et al. [<xref ref-type="bibr" rid="B24">24</xref>], and Pories et al. [<xref ref-type="bibr" rid="B25">25</xref>] reported that bariatric surgery is effective in diabetes treatment. Also, there was a difference in treatment rate between 45% and 100%, depending on the type of surgery. HbA<sub>1c</sub> is an important bio-marker for long-term glycemic control and reflects fasting blood glucose and postprandial glucose. HbA<sub>1c</sub> is a better predictor of diabetic complications than fasting glucose [<xref ref-type="bibr" rid="B26">26</xref><xref ref-type="bibr" rid="B27">27</xref>]. These results suggest that reduction of HbA<sub>1c</sub> in response to LAGB could contribute to decreasing risk of diabetic complications [<xref ref-type="bibr" rid="B28">28</xref>]. The bariatric surgery is effective in treating T2DM because of weight loss. Weight loss is very important in the treatment of diabetes and it is known that 10% reduction in body weight reduces the incidence of diabetes by more than 50% and reduces diabetes-related mortality by 20% [<xref ref-type="bibr" rid="B29">29</xref>]. In the present study, the MOD group showed average of 19.6% weight reduction after LAGB, suggesting that diabetes treatment was effective. Also, these results suggest that the higher body weight before the weight loss was associated with the greater reduction rate of HbA<sub>1c</sub> and the effect of diabetes treatment. In the study, LAGB was more effective in decreasing HbA<sub>1c</sub> in the MOD group, suggesting that LAGB improved hyperglycemia and T2DM.</p>
<p>Hyperlipidemia was also present in the obese patients with or without T2DM, and the TG levels were also decreased to normal level after LAGB. The decrease of serum TG levels was thought to be due to the decrease of calorie intake after LAGB. Also, these results are similar to Kim et al.'s report [<xref ref-type="bibr" rid="B13">13</xref>]. It is known that the majority of obese patients have fatty livers [<xref ref-type="bibr" rid="B30">30</xref>]. As a result, this study also showed that serum ALT and AST levels exceeded the normal range in both groups, indicating the problems in liver function. The MOD and MO groups showed the normal range of serum ALT and AST levels after LAGB. Significant reductions in serum ALT and AST levels were similar to those of Mummadi et al.'s report [<xref ref-type="bibr" rid="B31">31</xref>]. Also, serum ALT levels showed greater changes than serum AST levels. After the gastric band surgery, changes in HbA<sub>1c</sub> and liver function indicators showed improvement not only in T2DM but also in fatty liver.</p>
<p>Through this study, it was found that LAGB had therapeutic effect in MOD patients. It is thought that bariatric surgery is one of the breakthrough methods not only for weight loss but also for the prevention of complication, including diabetes mellitus in obese patients. Although LAGB has less beneficial effects compared to other bariatric surgeries, it is relatively simple and safe, and thus there would be substantial demand in the treatment of MOD in the future. As the study about bariatric surgery mostly focuses on weight loss, there is lacking in study about surgical effect of MOD.</p>
<p>However, there are some limitations in this study. This was a retrospective study, using restricted medical records. Thus, there was no data on fasting blood glucose, glucose tolerance test, or insulin tolerance test. In the future, study about bariatric surgery in MOD and the study comparing the effects in MOD according to the type of surgery would be necessary. Also, studies investigating other effects of surgical complications of morbid obesity would be required.</p>
<p>In conclusion, LAGB alleviated T2DM in MOD group, in part by improving HbA<sub>1c</sub> levels. Thus, LAGB may be useful for improving overall glycemic control in the management of DM in MOD patients.</p>
</sec>
</body>

<back>
<fn-group>
<fn fn-type="supported-by">
<label>Funding</label>
<p>This research was supported by Changwon National University in 2017&#x2013;2018.</p>
</fn>

<fn fn-type="conflict">
<label>Conflict of Interest</label>
<p>The authors declare that they have no competing interests.</p>
</fn>
</fn-group>

<ref-list>
<ref id="B1">
<label>1</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kumar</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Nayak</surname>
<given-names>BP</given-names>
</name>
<name>
<surname>Kumar</surname>
<given-names>A</given-names>
</name>
</person-group>
<article-title>Obesity: single house for many evils</article-title>
<source>Minerva Endocrinol</source>
<year>2016</year>
<volume>41</volume>
<fpage>499</fpage>
<lpage>508</lpage>
</element-citation>
</ref>

<ref id="B2">
<label>2</label>
    <element-citation publication-type="webpage">
      <collab>Korea Centers for Disease Control and Prevention</collab>
      <source>National nutrition survey report [Internet]</source>
      <publisher-loc>Cheongju</publisher-loc>
      <publisher-name>Korea Centers for Disease Control and Prevention</publisher-name>
      <year>2015</year>
      <date-in-citation content-type="access-date">cited 2016 December 21</date-in-citation>
      <comment>Available from: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://knhanes.cdc.go.kr/knhanes/sub04/sub04_03.do?classType=7">https://knhanes.cdc.go.kr/knhanes/sub04/sub04_03.do?classType=7</ext-link></comment>
    </element-citation>
</ref>

<ref id="B3">
<label>3</label>
    <element-citation publication-type="webpage">
      <collab>Statistics Korea</collab>
      <source>The statistics of mortality and the causes [Internet]</source>
      <publisher-loc>Daejeon</publisher-loc>
      <publisher-name>Statistics Korea</publisher-name>
      <year>2015</year>
      <date-in-citation content-type="access-date">cited 2016 September 27</date-in-citation>
      <comment>Available from: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://www.kostat.go.kr">http://www.kostat.go.kr</ext-link></comment>
    </element-citation>
</ref>

<ref id="B4">
<label>4</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kang</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Sung</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>CY</given-names>
</name>
</person-group>
<article-title>High risk groups in health behavior defined by clustering of smoking, alcohol, and exercise habits: National Heath and Nutrition Examination Survey</article-title>
<source>J Prev Med Public Health</source>
<year>2010</year>
<volume>43</volume>
<fpage>73</fpage>
<lpage>83</lpage>
</element-citation>
</ref>
<ref id="B5">
<label>5</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lim</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Shin</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Song</surname>
<given-names>JH</given-names>
</name>
<name>
<surname>Kwak</surname>
<given-names>SH</given-names>
</name>
<name>
<surname>Kang</surname>
<given-names>SM</given-names>
</name>
<name>
<surname>Won Yoon</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Choi</surname>
<given-names>SH</given-names>
</name>
<name>
<surname>Cho</surname>
<given-names>SI</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>KS</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>HK</given-names>
</name>
<name>
<surname>Jang</surname>
<given-names>HC</given-names>
</name>
<name>
<surname>Koh</surname>
<given-names>KK</given-names>
</name>
</person-group>
<article-title>Increasing prevalence of metabolic syndrome in Korea: the Korean National Health and Nutrition Examination Survey for 1998&#x2013;2007</article-title>
<source>Diabetes Care</source>
<year>2011</year>
<volume>34</volume>
<fpage>1323</fpage>
<lpage>1328</lpage>
</element-citation>
</ref>
<ref id="B6">
<label>6</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jang</surname>
<given-names>YH</given-names>
</name>
<name>
<surname>In</surname>
<given-names>DH</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>JK</given-names>
</name>
<name>
<surname>Moon</surname>
<given-names>HJ</given-names>
</name>
<name>
<surname>Yoon</surname>
<given-names>GT</given-names>
</name>
<name>
<surname>Ryu</surname>
<given-names>AJ</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>YJ</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>EY</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>HJ</given-names>
</name>
<name>
<surname>Ku</surname>
<given-names>BJ</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>KS</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>IS</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Lim</surname>
<given-names>DM</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>KY</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>SJ</given-names>
</name>
</person-group>
<article-title>The effect of vildagliptin on visfatin in Korean patients with type 2 diabetes: a multicenter, double-blind, randomized, placebo-controlled, prospective study</article-title>
<source>J Korean Diabetes</source>
<year>2015</year>
<volume>16</volume>
<fpage>303</fpage>
<lpage>309</lpage>
</element-citation>
</ref>
<ref id="B7">
<label>7</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kang</surname>
<given-names>JH</given-names>
</name>
<name>
<surname>Jeong</surname>
<given-names>BG</given-names>
</name>
<name>
<surname>Cho</surname>
<given-names>YG</given-names>
</name>
<name>
<surname>Song</surname>
<given-names>HR</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>KA</given-names>
</name>
</person-group>
<article-title>Medical expenditure attributable to overweight and obesity in adults with hypertension, diabetes and dyslipidemia: evidence from Korea National Health and Nutrition Examination Survey data and Korea National Health Corporation data</article-title>
<source>J Agric Med Community Health</source>
<year>2010</year>
<volume>35</volume>
<fpage>77</fpage>
<lpage>88</lpage>
</element-citation>
</ref>
<ref id="B8">
<label>8</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Adeghate</surname>
<given-names>E</given-names>
</name>
</person-group>
<article-title>Visfatin: structure, function and relation to diabetes mellitus and other dysfunctions</article-title>
<source>Curr Med Chem</source>
<year>2008</year>
<volume>15</volume>
<fpage>1851</fpage>
<lpage>1862</lpage>
</element-citation>
</ref>
<ref id="B9">
<label>9</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kenkel</surname>
<given-names>DS</given-names>
</name>
<name>
<surname>Manning</surname>
<given-names>W</given-names>
</name>
</person-group>
<article-title>Economic evaluation of nutrition policy: or, there&#x2019;s no such thing as a free lunch</article-title>
<source>Food Policy</source>
<year>1999</year>
<volume>24</volume>
<fpage>145</fpage>
<lpage>162</lpage>
</element-citation>
</ref>
<ref id="B10">
<label>10</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Colditz</surname>
<given-names>GA</given-names>
</name>
</person-group>
<article-title>Economic costs of obesity and inactivity</article-title>
<source>Med Sci Sports Exerc</source>
<year>1999</year>
<volume>31</volume>
<fpage>S663</fpage>
<lpage>S667</lpage>
</element-citation>
</ref>
<ref id="B11">
<label>11</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ahn</surname>
<given-names>BC</given-names>
</name>
<name>
<surname>Joung</surname>
<given-names>H</given-names>
</name>
</person-group>
<article-title>Socioeconomic cost of obesity in Korea</article-title>
<source>Korean J Nutr</source>
<year>2005</year>
<volume>38</volume>
<fpage>786</fpage>
<lpage>792</lpage>
</element-citation>
</ref>
<ref id="B12">
<label>12</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jang</surname>
<given-names>JH</given-names>
</name>
</person-group>
<article-title>Psychological support before and after obesity metabolic operation is tried</article-title>
<source>J Korean Diabetes</source>
<year>2013</year>
<volume>14</volume>
<fpage>75</fpage>
<lpage>78</lpage>
</element-citation>
</ref>
<ref id="B13">
<label>13</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname>
<given-names>HJ</given-names>
</name>
<name>
<surname>Namgung</surname>
<given-names>SA</given-names>
</name>
<name>
<surname>Hong</surname>
<given-names>JI</given-names>
</name>
<name>
<surname>Mok</surname>
<given-names>HJ</given-names>
</name>
</person-group>
<article-title>A study on the standards of medical-nutritional-education by the type of bariatric surgery in morbid-obesity patients</article-title>
<source>J Korean Diet Assoc</source>
<year>2010</year>
<volume>16</volume>
<fpage>178</fpage>
<lpage>187</lpage>
</element-citation>
</ref>
<ref id="B14">
<label>14</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ahn</surname>
<given-names>HS</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>HJ</given-names>
</name>
<name>
<surname>Kang</surname>
<given-names>SH</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>GJ</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>SS</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>YJ</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>EK</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>JH</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>JH</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>JH</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>JJ</given-names>
</name>
<name>
<surname>Ryu</surname>
<given-names>SY</given-names>
</name>
<name>
<surname>Ryu</surname>
<given-names>SW</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>DJ</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>SS</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>YC</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Seo</surname>
<given-names>KW</given-names>
</name>
<name>
<surname>Suh</surname>
<given-names>BJ</given-names>
</name>
<name>
<surname>Ahn</surname>
<given-names>SH</given-names>
</name>
<name>
<surname>Ahn</surname>
<given-names>SM</given-names>
</name>
<name>
<surname>Ahn</surname>
<given-names>JY</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>SK</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>JH</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>HH</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>HC</given-names>
</name>
<name>
<surname>Jeong</surname>
<given-names>GA</given-names>
</name>
<name>
<surname>Jeong</surname>
<given-names>MR</given-names>
</name>
<name>
<surname>Cho</surname>
<given-names>MY</given-names>
</name>
<name>
<surname>Choi</surname>
<given-names>YB</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>SM</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>SU</given-names>
</name>
<name>
<surname>Hur</surname>
<given-names>KY</given-names>
</name>
<name>
<surname>Heo</surname>
<given-names>YS</given-names>
</name>
<name>
<surname>Hyung</surname>
<given-names>WJ</given-names>
</name>
<name>
<surname>Cho</surname>
<given-names>SH</given-names>
</name>
</person-group>
<article-title>2013 Nationwide bariatric and metabolic surgery report in Korea</article-title>
<source>J Metab Bariatr Surg</source>
<year>2014</year>
<volume>3</volume>
<fpage>38</fpage>
<lpage>43</lpage>
</element-citation>
</ref>
<ref id="B15">
<label>15</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guidone</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Manco</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Valera-Mora</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Iaconelli</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Gniuli</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Mari</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Nanni</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Castagneto</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Calvani</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Mingrone</surname>
<given-names>G</given-names>
</name>
</person-group>
<article-title>Mechanisms of recovery from type 2 diabetes after malabsorptive bariatric surgery</article-title>
<source>Diabetes</source>
<year>2006</year>
<volume>55</volume>
<fpage>2025</fpage>
<lpage>2031</lpage>
</element-citation>
</ref>
<ref id="B16">
<label>16</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Han</surname>
<given-names>SM</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>WW</given-names>
</name>
</person-group>
<article-title>Early management of type 2 diabetes mellitus after sleeve gastrectomy in morbid obesity</article-title>
<source>J Korean Surg Soc</source>
<year>2005</year>
<volume>69</volume>
<fpage>304</fpage>
<lpage>309</lpage>
</element-citation>
</ref>
<ref id="B17">
<label>17</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schindler</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Prager</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Ballaban</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Kretschmer</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Riener</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Buranyi</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Maier</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Luger</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Ludvik</surname>
<given-names>B</given-names>
</name>
</person-group>
<article-title>Impact of laparoscopic adjustable gastric banding on plasma ghrelin, eating behaviour and body weight</article-title>
<source>Eur J Clin Invest</source>
<year>2004</year>
<volume>34</volume>
<fpage>549</fpage>
<lpage>554</lpage>
</element-citation>
</ref>
<ref id="B18">
<label>18</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Giusti</surname>
<given-names>V</given-names>
</name>
<name>
<surname>Suter</surname>
<given-names>M</given-names>
</name>
<name>
<surname>H&#x00E9;ra&#x00EF;ef</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Gaillard</surname>
<given-names>RC</given-names>
</name>
<name>
<surname>Burckhardt</surname>
<given-names>P</given-names>
</name>
</person-group>
<article-title>Effects of laparoscopic gastric banding on body composition, metabolic profile and nutritional status of obese women: 12-months follow-up</article-title>
<source>Obes Surg</source>
<year>2004</year>
<volume>14</volume>
<fpage>239</fpage>
<lpage>245</lpage>
</element-citation>
</ref>

<ref id="B19">
<label>19</label>
    <element-citation publication-type="book">
      <collab>World Health Organization Western Pacific Region</collab>
      <collab>International Association for the Study of Obesity</collab>
      <collab>International Obesity Task Force</collab>
      <source>The Asia-pacific perspective: redefining obesity and its treatment</source>
      <publisher-loc>Sydney</publisher-loc>
      <publisher-name>Health Communications Australia Pty Limited</publisher-name>
      <year>2000</year>
    </element-citation>
</ref>

<ref id="B20">
<label>20</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fujioka</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Matsuzawa</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Tokunaga</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Tarui</surname>
<given-names>S</given-names>
</name>
</person-group>
<article-title>Contribution of intra-abdominal fat accumulation to the impairment of glucose and lipid metabolism in human obesity</article-title>
<source>Metabolism</source>
<year>1987</year>
<volume>36</volume>
<fpage>54</fpage>
<lpage>59</lpage>
</element-citation>
</ref>
<ref id="B21">
<label>21</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chiba</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Saitoh</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Takagi</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Ohnishi</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Katoh</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Ohata</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Nakagawa</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Shimamoto</surname>
<given-names>K</given-names>
</name>
</person-group>
<article-title>Relationship between visceral fat and cardiovascular disease risk factors: the Tanno and Sobetsu study</article-title>
<source>Hypertens Res</source>
<year>2007</year>
<volume>30</volume>
<fpage>229</fpage>
<lpage>236</lpage>
</element-citation>
</ref>
<ref id="B22">
<label>22</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Carey</surname>
<given-names>DG</given-names>
</name>
<name>
<surname>Pliego</surname>
<given-names>GJ</given-names>
</name>
<name>
<surname>Raymond</surname>
<given-names>RL</given-names>
</name>
</person-group>
<article-title>Body composition and metabolic changes following bariatric surgery: effects on fat mass, lean mass and basal metabolic rate: six months to one-year follow-up</article-title>
<source>Obes Surg</source>
<year>2006</year>
<volume>16</volume>
<fpage>1602</fpage>
<lpage>1608</lpage>
</element-citation>
</ref>
<ref id="B23">
<label>23</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sj&#x00F6;str&#x00F6;m</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Narbro</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Sj&#x00F6;str&#x00F6;m</surname>
<given-names>CD</given-names>
</name>
<name>
<surname>Karason</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Larsson</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Wedel</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Lystig</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Sullivan</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Bouchard</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Carlsson</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Bengtsson</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Dahlgren</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Gummesson</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Jacobson</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Karlsson</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Lindroos</surname>
<given-names>AK</given-names>
</name>
<name>
<surname>L&#x00F6;nroth</surname>
<given-names>H</given-names>
</name>
<name>
<surname>N&#x00E4;slund</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Olbers</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Stenl&#x00F6;f</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Torgerson</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Agren</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Carlsson</surname>
<given-names>LM</given-names>
</name>
<collab>Swedish Obese Subjects Study</collab>
</person-group>
<article-title>Effects of bariatric surgery on mortality in Swedish obese subjects</article-title>
<source>N Engl J Med</source>
<year>2007</year>
<volume>357</volume>
<fpage>741</fpage>
<lpage>752</lpage>
</element-citation>
</ref>
<ref id="B24">
<label>24</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Buchwald</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Avidor</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Braunwald</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Jensen</surname>
<given-names>MD</given-names>
</name>
<name>
<surname>Pories</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Fahrbach</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Schoelles</surname>
<given-names>K</given-names>
</name>
</person-group>
<article-title>Bariatric surgery: a systematic review and meta-analysis</article-title>
<source>JAMA</source>
<year>2004</year>
<volume>292</volume>
<fpage>1724</fpage>
<lpage>1737</lpage>
</element-citation>
</ref>
<ref id="B25">
<label>25</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pories</surname>
<given-names>WJ</given-names>
</name>
<name>
<surname>Swanson</surname>
<given-names>MS</given-names>
</name>
<name>
<surname>MacDonald</surname>
<given-names>KG</given-names>
</name>
<name>
<surname>Long</surname>
<given-names>SB</given-names>
</name>
<name>
<surname>Morris</surname>
<given-names>PG</given-names>
</name>
<name>
<surname>Brown</surname>
<given-names>BM</given-names>
</name>
<name>
<surname>Barakat</surname>
<given-names>HA</given-names>
</name>
<name>
<surname>deRamon</surname>
<given-names>RA</given-names>
</name>
<name>
<surname>Israel</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Dolezal</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Dohm</surname>
<given-names>L</given-names>
</name>
</person-group>
<article-title>Who would have thought it? An operation proves to be the most effective therapy for adult-onset diabetes mellitus</article-title>
<source>Ann Surg</source>
<year>1995</year>
<volume>222</volume>
<fpage>339</fpage>
<lpage>350</lpage>
</element-citation>
</ref>
<ref id="B26">
<label>26</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sacks</surname>
<given-names>DB</given-names>
</name>
<name>
<surname>Bruns</surname>
<given-names>DE</given-names>
</name>
<name>
<surname>Goldstein</surname>
<given-names>DE</given-names>
</name>
<name>
<surname>Maclaren</surname>
<given-names>NK</given-names>
</name>
<name>
<surname>McDonald</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Parrott</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus</article-title>
<source>Clin Chem</source>
<year>2002</year>
<volume>48</volume>
<fpage>436</fpage>
<lpage>472</lpage>
</element-citation>
</ref>
<ref id="B27">
<label>27</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>LeRoith</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Smith</surname>
<given-names>DO</given-names>
</name>
</person-group>
<article-title>Monitoring glycemic control: the cornerstone of diabetes care</article-title>
<source>Clin Ther</source>
<year>2005</year>
<volume>27</volume>
<fpage>1489</fpage>
<lpage>1499</lpage>
</element-citation>
</ref>
<ref id="B28">
<label>28</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lind</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Od&#x00E9;n</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Fahl&#x00E9;n</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Eliasson</surname>
<given-names>B</given-names>
</name>
</person-group>
<article-title>The true value of HbA<sub>1c</sub> as a predictor of diabetic complications: simulations of HbA<sub>1c</sub> variables</article-title>
<source>PLoS One</source>
<year>2009</year>
<volume>4</volume>
<fpage>e4412</fpage>
</element-citation>
</ref>
<ref id="B29">
<label>29</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Knowler</surname>
<given-names>WC</given-names>
</name>
<name>
<surname>Barrett-Connor</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Fowler</surname>
<given-names>SE</given-names>
</name>
<name>
<surname>Hamman</surname>
<given-names>RF</given-names>
</name>
<name>
<surname>Lachin</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Walker</surname>
<given-names>EA</given-names>
</name>
<name>
<surname>Nathan</surname>
<given-names>DM</given-names>
</name>
<collab>Diabetes Prevention Program Research Group</collab>
</person-group>
<article-title>Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin</article-title>
<source>N Engl J Med</source>
<year>2002</year>
<volume>346</volume>
<fpage>393</fpage>
<lpage>403</lpage>
</element-citation>
</ref>
<ref id="B30">
<label>30</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baek</surname>
<given-names>YA</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>KN</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>YA</given-names>
</name>
<name>
<surname>Chang</surname>
<given-names>N</given-names>
</name>
</person-group>
<article-title>The effect of nutrition education on visceral fat reduction and diet quality in postmenopausal women</article-title>
<source>Korean J Nutr</source>
<year>2008</year>
<volume>41</volume>
<fpage>634</fpage>
<lpage>644</lpage>
</element-citation>
</ref>
<ref id="B31">
<label>31</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mummadi</surname>
<given-names>RR</given-names>
</name>
<name>
<surname>Kasturi</surname>
<given-names>KS</given-names>
</name>
<name>
<surname>Chennareddygari</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Sood</surname>
<given-names>GK</given-names>
</name>
</person-group>
<article-title>Effect of bariatric surgery on nonalcoholic fatty liver disease: systematic review and meta-analysis</article-title>
<source>Clin Gastroenterol Hepatol</source>
<year>2008</year>
<volume>6</volume>
<fpage>1396</fpage>
<lpage>1402</lpage>
</element-citation>
</ref>
</ref-list>
</back>
</article>

 

