<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJEMD</journal-id><journal-title-group><journal-title>Open Journal of Endocrine and Metabolic Diseases</journal-title></journal-title-group><issn pub-type="epub">2165-7424</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojemd.2019.912013</article-id><article-id pub-id-type="publisher-id">OJEMD-97612</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Profile of Metabolic Syndrome at CNHU HKM Cotonou
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Annelie</surname><given-names>Kerekou-Hode</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Philippe</surname><given-names>Adjagba</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dolorès</surname><given-names>Falolou</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bénédicte</surname><given-names>Attolou</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>University Clinic of Endocrinology, National University Hospital Center Hubert Koutoukou Manga, Cotonou, Benin</addr-line></aff><aff id="aff2"><addr-line>University Cardiology Clinic, National University Hospital Center Hubert Koutoukou Manga, Cotonou, Benin</addr-line></aff><pub-date pub-type="epub"><day>31</day><month>12</month><year>2019</year></pub-date><volume>09</volume><issue>12</issue><fpage>127</fpage><lpage>133</lpage><history><date date-type="received"><day>1,</day>	<month>December</month>	<year>2019</year></date><date date-type="rev-recd"><day>28,</day>	<month>December</month>	<year>2019</year>	</date><date date-type="accepted"><day>31,</day>	<month>December</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The metabolic syndrome combines morphological, physiological and biochemical abnormalities that evolve over time, predisposing the affected person to atherosclerosis and its complications. The purpose of our work was to determine the clinical and biological profile of metabolic syndrome in patients received for medical examination according to WHO criteria. This was a retrospective study over a 1-year period: from January 1st, 2018 to December 31st, 2018. The information collected was clinical (sociodemographic characteristics, anthropometric data, initial blood pressure, cardiovascular history) and biological data (fasting blood glucose level, lipid test). Two thousand six hundred and two patients visited during the study period, including 291 patients (11.18%) for a reason that may evoke the metabolic syndrome but 115 files were retained for this study. The age of the patients was 58.39 &#177; 10.02 years with extremes ranging from 32 to 81 years old. Metabolic syndrome was found in 77 patients, or 66.9% of patients who had consulted for a reason that might suggest this diagnosis. 44.3% had 3 criteria for definition; 19.1% had 4 criteria and 3.5% had 5 criteria. All patients have benefited a mono, bi or antihypertensive therapy associated with antidiabetic or hypolipemic treatment. Metabolic syndrome better predicts cardiovascular risk than analysis of individual risk factors. Its prevention involves diet which must be hyposodium, hypolipidic, without fast sugar and daily physical activities.
 
</p></abstract><kwd-group><kwd>High Blood Pressure</kwd><kwd> Diabetes</kwd><kwd> Obesity</kwd><kwd> Dyslipidemia</kwd><kwd> Benin Republic</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The unintended nature of the combination of obesity, diabetes, high blood pressure and hyperuricemia was highlighted by several authors during the first half of the 20th century [<xref ref-type="bibr" rid="scirp.97612-ref1">1</xref>]. The term Metabolic Syndrome was created in 1975 by Hermann Haller and Markolf Hanefeld [<xref ref-type="bibr" rid="scirp.97612-ref2">2</xref>]. The “X-syndrome” formulated by Gerald M. Reaven around insulin resistance was the first well-structured version of the metabolic syndrome in 1988 [<xref ref-type="bibr" rid="scirp.97612-ref3">3</xref>]. Due to the increase in the prevalence of obesity over the last decade, five definitions have been proposed by several groups to characterize the metabolic syndrome. It was recognized by the World Health Organization (WHO) in 1998 [<xref ref-type="bibr" rid="scirp.97612-ref4">4</xref>]. Metabolic syndrome combines morphological, physiological and biochemical abnormalities that evolve with time predisposing the affected subject to atherosclerosis and its complications. The prevalence of metabolic syndrome among hypertensive patients in Parakou was 69.6% according to the criteria of the International Diabetes Federation (IDF) and 65.2% according to those of the National Cholesterol Education Program (NCEP) [<xref ref-type="bibr" rid="scirp.97612-ref5">5</xref>]. It was 79% among obese patients in Ouidah according to WHO criteria [<xref ref-type="bibr" rid="scirp.97612-ref6">6</xref>].</p><p>The purpose of our work was to determine the clinical and biological profile of metabolic syndrome in patients received for medical examination according to WHO criteria.</p></sec><sec id="s2"><title>2. Methodology</title><p>This was a retrospective study over a 1-year period: from January 1st, 2018 to December 31st, 2018, involving patients who had consulted in endocrinology and cardiology units. A systematic review of medical records was completed. The information collected was clinical (sociodemographic characteristics, anthropometric data, initial blood pressure, cardiovascular history) and biological data (fasting blood glucose level, lipid test). Were considered diabetic patients already known and treated as such or whose fasting blood glucose level was greater than or equal to 1.26 g/l. The dyslipidemia was held in front of a total cholesterol level higher than 2.5 g/l or a LDL cholesterol level higher than 1.15 g/l. The LDL-cholesterol level was obtained from Friedwald’s formula by reporting the difference between total cholesterol and HDL-cholesterol at 1/5th of triglyceridemia (in grams per liter).</p><p>WHO’s criteria were used for the determination of the metabolic syndrom. These criteria include visceral or central obesity, waist/hip circumference &gt; 0.9 (male) and 0.75 (female) and/or BMI &gt; 30 kg/m<sup>2</sup>. Records in which metabolic syndrome assessment parameters are completed, we chose BMI which was systematically estimated at our patients, associated with at least 2 of the following criteria:</p><p>- Blood glucose &gt; 1 g/l;</p><p>- Blood pressure ≥ 140 mmHg;</p><p>- Triglyceride ≥ 1.50 g/l;</p><p>- HDL-Cholesterol (HDL-c) &lt; 0.35 g/l in men and &lt; 0.39 g/l in women.</p><p>The inclusion criteria were the records containing the above-mentioned parameters. We evaluated the effectiveness of treatment instituted with a follow-up of 6 months. The collection of files was made by a systematic questionnaire. Data analysis was performed using the software Epi-Info in version 3.5.4.</p></sec><sec id="s3"><title>3. Results</title><p>Two thousand six hundred and two patients consulted during the study period, including 291 patients (11.18%) for a reason that could evoke the metabolic syndrome. One hundred and fifteen records were usable in this study. Among the 115 cases there were 77 cases (2.9%) of metabolic syndrome.</p><p>The population consisted of 115 patients with as many men as women. The age of the patients was 58.39 &#177; 10.02 years with extremes ranging from 32 to 81 years (<xref ref-type="table" rid="table1">Table 1</xref>). All patients had high blood pressure, of which 95.6% were known and treated. Twenty four patients (21.2%) had type 2 diabetes and 18.6% had a history of dyslipidemia (<xref ref-type="table" rid="table1">Table 1</xref>). Seventy nine patients (77.4%) had obesity, including 59.1% Grade I obesity and 18.3% Grade II obesity. Forty four patients (39.1%) had hyperglycemia, 68 patients (59.1%) had low cholesterol, and 22 patients (19.1%) had high triglyceride levels.</p><p>Metabolic syndrome was found in 77 patients (66.9%) who are distributed according to WHO criteria in <xref ref-type="fig" rid="fig1">Figure 1</xref> and 44.3% had 3 criteria for definition; 19.1% had 4 criteria and 3.5% had 5 criteria. All patients have benefited a mono, bi- or antihypertensive therapy associated with antidiabetic or hypolipemic treatment. Evaluation of the patients at 6 months allowed to evaluate the prescribed treatment (<xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="table" rid="table3">Table 3</xref>). Hypertensive patients were controlled by their treatment in 78.7%; 44.4% of diabetic patients were balanced and 55.8% had their lipid balance normalized. Weight results were relatively less noticeable with weight loss in only 35.9%.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Description of the population</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >description parameter</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Age (mean-age)</td><td align="center" valign="middle" >58.39 &#177; 10.02</td></tr><tr><td align="center" valign="middle" >Sex-ratio</td><td align="center" valign="middle" >1.01</td></tr><tr><td align="center" valign="middle" >Medical history</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High blood pressure (history)</td><td align="center" valign="middle" >95.6%</td></tr><tr><td align="center" valign="middle" >Type 2 Diabetes</td><td align="center" valign="middle" >21.2%</td></tr><tr><td align="center" valign="middle" >Dyslipidelia</td><td align="center" valign="middle" >18.6%</td></tr><tr><td align="center" valign="middle" >M&#233;tabolic syndrome (WHO criteria)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >BMI (mean)</td><td align="center" valign="middle" >31.15 &#177; 4.68</td></tr><tr><td align="center" valign="middle" >Systolic blood pressure</td><td align="center" valign="middle" >142.81 &#177; 19.10</td></tr><tr><td align="center" valign="middle" >Distolic blood pressure</td><td align="center" valign="middle" >84.86 &#177; 12.60</td></tr><tr><td align="center" valign="middle" >Glycemia</td><td align="center" valign="middle" >1.07 &#177; 0.34</td></tr><tr><td align="center" valign="middle" >Cholest&#233;rolemia HDL</td><td align="center" valign="middle" >0.47 &#177; 0.14</td></tr><tr><td align="center" valign="middle" >Cholest&#233;rolemia LDL</td><td align="center" valign="middle" >1.306 &#177; 0.46</td></tr><tr><td align="center" valign="middle" >Triglyceridemia</td><td align="center" valign="middle" >1.02 &#177; 0.49</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Prescribed treatment</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Antihypertensive drugs</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Calcium inhibitor</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >83.3</td></tr><tr><td align="center" valign="middle" >Conversion enzyme inhibitor</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >55.3</td></tr><tr><td align="center" valign="middle" >Diuretic</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >34.2</td></tr><tr><td align="center" valign="middle" >Beta blocker</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >23.7</td></tr><tr><td align="center" valign="middle" >Oral anti-diabetic drugs</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Biguanides</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >9.6</td></tr><tr><td align="center" valign="middle" >Sulfonamides</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >5.3</td></tr><tr><td align="center" valign="middle" >Lipid-lowering agent</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Statin</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >20.2</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Evolution</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >High BP controlled</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >78.7</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >21.3</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >100.0</td></tr><tr><td align="center" valign="middle" >Balance Diabetes</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >44.4</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >55.6</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >100.0</td></tr><tr><td align="center" valign="middle" >Lipid balance normalized</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >55.8</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >44.2</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >100.0</td></tr><tr><td align="center" valign="middle" >Abdominal obesity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >19.0</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >81.0</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >100.0</td></tr><tr><td align="center" valign="middle" >Weigh loss</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >35.9</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >64.1</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >100.0</td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Discussion</title><p>We conducted a retrospective hospital-based study, which constitutes a recruitment bias in the assessment of prevalence. The retrospective nature of the study did not systematically provide all the information needed to make a diagnosis of</p><p>metabolic syndrome. Prevalence 2.9% is lower than the hospital prevalence of 4.94% observed in Cote d’Ivoire [<xref ref-type="bibr" rid="scirp.97612-ref7">7</xref>]. And 17.5% in Burkina faso in patients hospitalized for high blood pressure [<xref ref-type="bibr" rid="scirp.97612-ref8">8</xref>]. Prevalence is 8.9% in the general population in Senegal [<xref ref-type="bibr" rid="scirp.97612-ref9">9</xref>] and ranges from 6.1% in women to 10.2% in men in France [<xref ref-type="bibr" rid="scirp.97612-ref10">10</xref>]. This variation may be a reflection of the different socio-economic conditions in the countries, or related to the diet and the change of lifestyle of the different populations but also the difficulty of harmonizing the definition criteria. The mean age of the patients was 58.39 &#177; 10.02 years, similar to the mean age of 56.1 &#177; 10.7 years reported by Millogo in Burkina Faso [<xref ref-type="bibr" rid="scirp.97612-ref8">8</xref>]. Prevalence of metabolic syndrome increases with age thus, it is 5% in men vs. 2% in women under 40 and 14.1% vs. 12% after 70 years [<xref ref-type="bibr" rid="scirp.97612-ref10">10</xref>]. Mean systolic and diastolic BP were statistically higher as was mean BMI in the population of patients with metabolic syndrome. Millogo made the same observation in Burkina Faso [<xref ref-type="bibr" rid="scirp.97612-ref8">8</xref>], as well as Kant in India [<xref ref-type="bibr" rid="scirp.97612-ref11">11</xref>]. Similarly, blood glucose and triglycerides were on average higher and HDL cholesterol was on average lower than in the general population [<xref ref-type="bibr" rid="scirp.97612-ref11">11</xref>]. The most common risk factors were high blood pressure followed by obesity 77.4%, low HDL cholesterol 59.1% and diabetes 39.1%. In most studies, low HDL cholesterol was more common [<xref ref-type="bibr" rid="scirp.97612-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.97612-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.97612-ref12">12</xref>], which may reflect a lack of physical activity. The prevention of this factor is then important in the management of the metabolic syndrome.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Metabolic syndrome is a pathology that poses the problem on the one hand of its non-consensual definition and on the other hand that of the control of its constituent elements, especially high blood pressure. Metabolic syndrome better predicts cardiovascular risk than analysis of individual risk factors. Its prevention involves diet which must be hyposodium, hypolipidic, without fast sugar and daily physical activities.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We would like to thank Assogba Brice for its statistical analysis.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Kerekou-Hode, A., Adjagba, P., Falolou, D. and Attolou, B. (2019) Profile of Metabolic Syndrome at CNHU HKM Cotonou. Open Journal of Endocrine and Metabolic Diseases, 9, 127-133. https://doi.org/10.4236/ojemd.2019.912013</p></sec></body><back><ref-list><title>References</title><ref id="scirp.97612-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Vialettes, B. (2015) Jean Vague (1911-2003): Un exemple de sérendipité au service de la nutrition et de la diabétologie. Médecine des Maladies Métaboliques, 9, 355-359.  
https://doi.org/10.1016/S1957-2557(15)30092-4</mixed-citation></ref><ref id="scirp.97612-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Haller, H. and Hanefeld, M. (1975) Synoptische betrachtung metabolischer risikofaktoren. Haller H Hanefeld M Jaross W eds Lipidstoffwechselst&amp;#246;rungen, 254-264.</mixed-citation></ref><ref id="scirp.97612-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Reaven, G.M. (1988) Role of Insulin Resistance in Human Disease. Diabetes, 37, 1595-1607. https://doi.org/10.2337/diab.37.12.1595</mixed-citation></ref><ref id="scirp.97612-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Alberti, K.G.M.M. and Zimmet, P.Z. (1998) Definition, Diagnosis and Classification of Diabetes Mellitus and Its Complications. Part 1: Diagnosis and Classification of Diabetes Mellitus. Provisional Report of a WHO Consultation. Diabetic Medicine, 15, 539-553.  
https://doi.org/10.1002/(SICI)1096-9136(199807)15:7&lt;539::AID-DIA668&gt;3.0.CO;2-S</mixed-citation></ref><ref id="scirp.97612-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Assoumanou, M., Dovonou, A., Ngome, M. and Akpona, S. (2012) Prévalence du syndrome métabolique chez les sujets hypertendus adultes dans les formations sanitaires de Parakou (Bénin). International Journal of Biological and Chemical Sciences, 6, 1419-1427. https://doi.org/10.4314/ijbcs.v6i4.2</mixed-citation></ref><ref id="scirp.97612-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Aniou Yessoufou, A.G., Ustin Behanzin, J., Djihoumeto, E., Isstina, Z.A., élanie Ahokpe, M. and Lphonse Sezan, A. (2015) Aspects épidémiologiques du syndrome métabolique au sein de la population obèse de la Commune Ouidah au Sud-ouest du Bénin.</mixed-citation></ref><ref id="scirp.97612-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Hauhouot-Attoungbre, M., Yayo, S., Ake-Edjeme, A., Yapi, H., Ahibo, H. and Monnet, D. (2008) Le syndrome métabolique existe-t-il en C&amp;#244;te d’Ivoire? Immuno-Analyse &amp; Biologie Spécialisée, 23, 375-378. 
https://doi.org/10.1016/j.immbio.2008.10.002</mixed-citation></ref><ref id="scirp.97612-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Millogo, G.R.C., Samandoulougou, A., Yaméogo, N.V., Yaméogo, A.R., Kologo, K.J., Toguyeni, J.Y. and Zabsonré, P. (2014) Syndrome métabolique chez les patients hypertendus dans le service cardiologie du CHU Yalgado Ouedraogo de Ouagadougou, Burkina Faso. The Pan African Medical Journal, 19, 290. 
https://doi.org/10.11604/pamj.2014.19.290.4028</mixed-citation></ref><ref id="scirp.97612-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Sarr, A., Lopez-Sall, P., Ndour-Mbaye, N.-M., Diop, S.-N., Sarr, G.-N., Diop, O., Sall, N.-D., Touré, M., Cissé, A. and Sarr, A. (2012) Fréquence du syndrome plurimétabolique et des anomalies associées au sein d’une population noire au Sénégal: Frequency of metabolic syndrome in Black Africans, in Senegal. Médecine des Maladies Métaboliques, 6, 238-243. https://doi.org/10.1016/S1957-2557(12)70405-4</mixed-citation></ref><ref id="scirp.97612-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Pannier, B., Thomas, F., Eschwege, E., Bean, K., Benetos, A., Leocmach, Y., Danchin, N. and Guize, L. (2006) Cardiovascular Risk Markers Associated with the Metabolic Syndrome in a Large French Population: The SYMFONIE Study. Diabetes &amp; metabolism, 32, 467-474. https://doi.org/10.1016/S1262-3636(07)70305-1</mixed-citation></ref><ref id="scirp.97612-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Kant, R. and Khapre, M. (2019) Profile of Metabolic Syndrome in Newly Detected Hypertensive Patients in India: An Hospital-Based Study. International Journal of Applied and Basic Medical Research, 9, 32.</mixed-citation></ref><ref id="scirp.97612-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Pemminati, S., Adhikari, P.M., Pathak, R. and Pai, M. (2010) Prevalence of Metabolic Syndrome (METS) Using IDF 2005 Guidelines in a Semi Urban South Indian (Boloor Diabetes Study) Population of Mangalore. Journal of Association physicians of India, 58, 674-677.</mixed-citation></ref></ref-list></back></article>