<?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">JDM</journal-id><journal-title-group><journal-title>Journal of Diabetes Mellitus</journal-title></journal-title-group><issn pub-type="epub">2160-5831</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jdm.2015.53016</article-id><article-id pub-id-type="publisher-id">JDM-57739</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>
 
 
  Prevalence and Risk Factors of Diabetes Mellitus in the Adult Population of Porto-Novo (Benin)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>aniel</surname><given-names>Amoussou-Guenou</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>Armand</surname><given-names>Wanvoegbe</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>Michel</surname><given-names>Hermans</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Anthelme</surname><given-names>Agbodande</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marius</surname><given-names>Boko</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>Arnaulde</surname><given-names>Amoussou-Guenou Fandi</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Annelie</surname><given-names>Kerekou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Clinic of Akpakpa, Cotonou, Benin</addr-line></aff><aff id="aff3"><addr-line>Saint-Luc Clinic, Brussels, Belgium</addr-line></aff><aff id="aff1"><addr-line>National Hospital and University Centre 1 (CNHU), Cotonou, Benin</addr-line></aff><aff id="aff2"><addr-line>Departmental Hospital of Ouémé Plateau (CHUD-OP), Porto-Novo, Benin</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>danielamousguen@yahoo.fr(AA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>03</day><month>07</month><year>2015</year></pub-date><volume>05</volume><issue>03</issue><fpage>135</fpage><lpage>140</lpage><history><date date-type="received"><day>4</day>	<month>May</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>30</month>	<year>June</year>	</date><date date-type="accepted"><day>3</day>	<month>July</month>	<year>2015</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>
 
 
  Introduction: The aim of this study was to determine the prevalence and risk factors of diabetes 
  mellitus in the adult population of Porto-Novo. Methods: A cross-sectional study with random 
  sampling, stratified cluster, was used. Fasting blood glucose was measured in capillary blood (Accu-Chek Active). Diabetes mellitus was defined as fasting glucose ≥ 1.26 g/L, and fasting hyperglycemia in non-diabetic fasting glucose ≥ 1.10 and &lt; 1.26 g/L. Results: The survey involved 240 individuals. The sex ratio was 0.48. The mean age was 46 &#177; 13 years (range 25 - 80 years). The prevalence of hyperglycemic patients was 7.9%. The prevalence of diabetes was 6.7%, including 3.3% of unknown diabetes, half of diabetics. The prevalence of fasting hyperglycemia without diabetes was 1.2%. The risk factors for diabetes type 2 onset were a family history of diabetes (p = 0.017), older age (p = 0.003), hypertension (p = 0.005) and abdominal obesity (NCEP: p = 0.044; FID: p = 0.001). Conclusion: These high figures confirm the increasing prevalence of diabetes mellitus in Benin, documented in many developing countries.
 
</p></abstract><kwd-group><kwd>Diabetes Prevalence</kwd><kwd> Risk Factors</kwd><kwd> Porto-Novo</kwd><kwd> Benin</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Diabetes mellitus is one of the most common and worldwide non-communicable diseases [<xref ref-type="bibr" rid="scirp.57739-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.57739-ref2">2</xref>] . It is a major global public health issue because of its increasing frequency, morbidity, mortality, and its socio-economic cost [<xref ref-type="bibr" rid="scirp.57739-ref3">3</xref>] .</p><p>The World Health Organization (WHO) estimated in 1995 that the prevalence of diabetes mellitus was about 135 million of adults worldwide [<xref ref-type="bibr" rid="scirp.57739-ref4">4</xref>] . This figure has increased significantly in recent decades, so that diabetes mellitus currently affects 381,800,000 people worldwide (estimates of the International Diabetes Federation (IDF) 2013) [<xref ref-type="bibr" rid="scirp.57739-ref5">5</xref>] . IDF anticipates the increasing of this number to 591.9 million for 2035, an increase of 55.0% [<xref ref-type="bibr" rid="scirp.57739-ref5">5</xref>] . This increase in number of diabetics is proportionately greater in developing countries, and will be more in Africa, where the number of diabetics is expected to increase, according to estimates of IDF, from 19.8 million in 2013 to 41,400,000 in 2035 [<xref ref-type="bibr" rid="scirp.57739-ref5">5</xref>] . Although the prevalence and progression of diabetes mellitus are well documented in industrialized countries, this is not the case in developing countries due to a lack of recent epidemiological, reliable and representative data [<xref ref-type="bibr" rid="scirp.57739-ref6">6</xref>] , particularly in sub-Saharan Africa. [<xref ref-type="bibr" rid="scirp.57739-ref7">7</xref>]</p><p>In Benin, several prevalence surveys were conducted in the past. Thus, the frequency of diabetes mellitus was:</p><p>• 1.1% in 2001 [<xref ref-type="bibr" rid="scirp.57739-ref8">8</xref>] , then measured at 2.6% in 2007 at the national level [<xref ref-type="bibr" rid="scirp.57739-ref9">9</xref>] ;</p><p>• 3.3% in Cotonou in 2002 [<xref ref-type="bibr" rid="scirp.57739-ref8">8</xref>] , then measured at 4.6% in 2007 [<xref ref-type="bibr" rid="scirp.57739-ref10">10</xref>] ;</p><p>• 0.9% in Oueme Department in 2007 [<xref ref-type="bibr" rid="scirp.57739-ref9">9</xref>] .</p><p>Since 2007, to our knowledge, there have been no reports of diabetes mellitus prevalence in Porto-Novo, capital of the Republic of Benin. The present work was therefore designed to determine the prevalence and risk factors of diabetes mellitus type 2 in the urban adult population of Porto-Novo.</p></sec><sec id="s2"><title>2. Subjects and Methods</title><p>The study was cross-sectional, descriptive and analytical, and was conducted according to the “STEP wise” approach recommended by WHO for the screening and monitoring of risk factors of non-communicable diseases [<xref ref-type="bibr" rid="scirp.57739-ref11">11</xref>] . It took place from June 1 to July 28, 2014. The target population consisted of adults of the five townships of Porto-Novo. Were included in the study, subjects aged 25 - 80 years, of both sexes, residing in Porto-Novo, and having given their consent. Fasting blood glucose was measured in capillary blood using a validated glucometer Accu-Chek Active. The diagnosis of diabetes mellitus was made on the basis of a recognized diabetes status and/or a fasting glucose &gt; or = 1.26 g/L (7 mmol/L).</p><p>Fasting hyperglycemia without diabetes (HJND) was defined with any person not known as diabetes based on fasting glucose and &gt; or = 1.10 and &lt; 1.26 g/L. The collected data were analyzed with the EPI INFO version 3.5.3 software. For comparisons between data, a value of p &lt; 0.05 was considered statistically significant.</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. General Characteristics of the Population</title><p>The minimum number of participants to include, calculated by the Schwartz formula, was 211. This figure was increased by 10% to account for non-responders, resulting in a sampling size of 232 subjects, rounded 240 subjects included in the study.</p><p>The mean age of patients was 46.07 &#177; 12.63 years, with a range from 25 to 80 years. The age group 35 - 45 was the most represented. Women were the majority (162 against 78 men), respectively 67.5% against 32.5% (sex ratio 0.48).</p></sec><sec id="s3_2"><title>3.2. Prevalence of Impaired Glucose Homeostasis</title><p>The overall prevalence of hyperglycemia (diabetes mellitus and HJND) was 7.9%; that of 1.2% HJND; and that diabetes mellitus was 6.7%. Of the 16 patients with diabetes mellitus, 8 new cases were detected by the survey, representing 50% of all cases of diabetes mellitus, corresponding to a prevalence of unrecognized diabetes of 3.3% (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_3"><title>3.3. Diabetes Risk Factors (<xref ref-type="table" rid="table2">Table 2</xref>)</title><sec id="s3_3_1"><title>3.3.1. Sex</title><p>The prevalence of diabetes mellitus was 6.4% for men against 6.8% in women (p = 0.91), suggesting that the sex</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Subjects distribution according to the glycaemic profile</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Fasting glucose</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >221</td><td align="center" valign="middle" >92.1</td></tr><tr><td align="center" valign="middle" >Non-diabeticfasting hyperglycaemia</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.2</td></tr><tr><td align="center" valign="middle" >Diabetes mellitus</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >6.7</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Summary of sought risk factors</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Diabetes prevalence (%)</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Sex M F</td><td align="center" valign="middle" >6.4 6.8</td><td align="center" valign="middle" >0.912</td></tr><tr><td align="center" valign="middle" >Age [25 - 35] [35 - 45] [45 - 55] [55 - 65] ≥65</td><td align="center" valign="middle" >0.0 5.7 3.7 12.8 21.7</td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >HBP yes No</td><td align="center" valign="middle" >11.3 2.4</td><td align="center" valign="middle" >0.005</td></tr><tr><td align="center" valign="middle" >Abdominal obesity FID NCEP</td><td align="center" valign="middle" >Yes 10.8 No 0.0 Yes 10.3 No 3.8</td><td align="center" valign="middle" >0.001 0.044</td></tr><tr><td align="center" valign="middle" >Family history of diabetes yes No</td><td align="center" valign="middle" >14.0 4.7</td><td align="center" valign="middle" >0.017</td></tr></tbody></table></table-wrap><p>was not associated with an increased prevalence of diabetes (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_3_2"><title>3.3.2. Year Old</title><p>The prevalence of diabetes increased with age of the subjects studied, with a peak of 21.7% among those aged &#179;65 years (p = 0.003%).</p></sec><sec id="s3_3_3"><title>3.3.3. High Blood Pressure</title><p>The prevalence of diabetes mellitus in hypertensive patients was 11.3% against 2.4% among non-hypertensive, with a statistically significant difference (p = 0.005).</p></sec><sec id="s3_3_4"><title>3.3.4. Abdominal Obesity</title><p>The prevalence of diabetes mellitus in subjects with abdominal obesity according to IDF criteria was 10.8% against 0.0% in patients with no abdominal obesity (p = 0.001). According to the criteria of the National Cholesterol Education Program (NCEP), it was 10.3% in obese, against 3.8% in non-obese (p = 0.044)</p></sec><sec id="s3_3_5"><title>3.3.5. Family History of Diabetes</title><p>The prevalence of diabetes mellitus in patients with a family history of diabetes mellitus (1 generational distance) was 14.0%, against 4.7% in patients with no family history of diabetes mellitus (p = 0.017).</p></sec></sec></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Population Characteristics</title><p>The mean age of the study populations differed significantly between the prevalence studies available. Thus, the average age of patients in our study was 46.07 years, relatively close to those reported by Djrolo et al. (39.4 years in Cotonou (Benin) in 2007) [<xref ref-type="bibr" rid="scirp.57739-ref10">10</xref>] , for Balde et al. (49.4 years in 2007 to Labe (Guinea)) [<xref ref-type="bibr" rid="scirp.57739-ref12">12</xref>] , for Mbaye et al. (43.4 years in 2011 in Saint-Louis (Senegal)) [<xref ref-type="bibr" rid="scirp.57739-ref13">13</xref>] , and Oulad et al. (52 years in 2009 in Marrakech (Morocco)) [<xref ref-type="bibr" rid="scirp.57739-ref14">14</xref>] .</p><p>Age over 40 years is an occurrence known risk factor for type 2 diabetes [<xref ref-type="bibr" rid="scirp.57739-ref15">15</xref>] . Ages of &#179;65 years and 55 - 64 were the most affected by diabetes. Our results are in line with those reported by Mbaye et al. St. Louis (Senegal) [<xref ref-type="bibr" rid="scirp.57739-ref13">13</xref>] , where, in urban areas, ages 50 - 59 years and 60 - 69 years were the most represented.</p><p>In our survey, female was predominantly represented 67.5% of the sampled subjects and a sex ratio of 0.48. This reflects the female population in Benin.</p></sec><sec id="s4_2"><title>4.2. Prevalence</title><sec id="s4_2_1"><title>4.2.1. Hyperglycemia in Non-Diabetic Fasting</title><p>The prevalence of HJND was 1.2% in our study population, similar to that reported for Ou&#233;m&#233; (1.2%) in STEPS survey [<xref ref-type="bibr" rid="scirp.57739-ref9">9</xref>] , but lower than that reported by Djrolo et al. (3.5%) in Cotonou in 2007 [<xref ref-type="bibr" rid="scirp.57739-ref10">10</xref>] and Balde et al. (13.4%) in Labe (Guinea) in 2007 [<xref ref-type="bibr" rid="scirp.57739-ref12">12</xref>] . It is also lower than that of Wang et al. (3.3%) in China in 2009 [<xref ref-type="bibr" rid="scirp.57739-ref16">16</xref>] and Fagot et al. (5.6%) in France in 2006 [<xref ref-type="bibr" rid="scirp.57739-ref17">17</xref>] .</p></sec><sec id="s4_2_2"><title>4.2.2. Diabetes</title><p>The prevalence of diabetes mellitus (known and unknown) was high in our study (6.7%). It corresponds to the upper margin estimates for the urban black Africa, ranging from 2 to 6% [<xref ref-type="bibr" rid="scirp.57739-ref18">18</xref>] , signifying that the prevalence of diabetes mellitus is clearly increasing in Porto-Novo, like many other cities of the world. In Benin, at the end of STEPS survey in the general population, Djrolo et al. [<xref ref-type="bibr" rid="scirp.57739-ref9">9</xref>] in 2007 reported a prevalence of 0.9% in the department of Ou&#233;m&#233;, and 2.6% nationally. This prevalence of 6.7% is close by against those reported by Balde et al. (6.1%) in 2007 in Labe (Guinea) [<xref ref-type="bibr" rid="scirp.57739-ref12">12</xref>] ; by Belhadj et al. (7.3%) in 2010 in Algeria [<xref ref-type="bibr" rid="scirp.57739-ref19">19</xref>] ; and that reported in Canada (7%) in 2011 [<xref ref-type="bibr" rid="scirp.57739-ref20">20</xref>] . It is against superior to those reported by Lokrou et al. (1.33%) in Abidjan (Ivory Coast) in 2000 [<xref ref-type="bibr" rid="scirp.57739-ref21">21</xref>] ; by Djrolo et al. (4.6%) in 2007 in Cotonou (Benin) [<xref ref-type="bibr" rid="scirp.57739-ref10">10</xref>] ; Wang et al. (5.5%) in 2009 in China [<xref ref-type="bibr" rid="scirp.57739-ref16">16</xref>] ; and that reported in Seine-Saint Denis (France) to 5.8% in 2006 [<xref ref-type="bibr" rid="scirp.57739-ref17">17</xref>] . This is certainly due to the aging of these studies at a time when the prevalence of the disease was lower than current rates.</p><p>The growing trend documented by this work is part of the global evolution of progression of diabetes mellitus [<xref ref-type="bibr" rid="scirp.57739-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.57739-ref22">22</xref>] , usually attributed to a combination of changes in lifestyle (reduced physical activity) and changes in eating habits (safety and excess calories, fat intake increased, especially saturated fat, high glycemic index, rapidly absorbed sugars), favored by industrialization and urbanization.</p><p>However, the prevalence we found remains lower than that reported by Oulad et al. (10%) to Marrakech (Morocco) [<xref ref-type="bibr" rid="scirp.57739-ref14">14</xref>] and Mbaye et al. (10.4%) in 2011 in Saint-Louis (Senegal) [<xref ref-type="bibr" rid="scirp.57739-ref13">13</xref>] . These differences are probably related to ethnic regional differences; food; socio-cultural; and cardio-metabolic groups studied.</p><p>In our study, the prevalence of unrecognized diabetes was 3.3%, about half of people with diabetes mellitus. This high prevalence of unrecognized diabetes is similar to that reported by Djrolo et al. (3.4%) in 2007 in Cotonou [<xref ref-type="bibr" rid="scirp.57739-ref10">10</xref>] but exceeds that reported by Mbaye et al. (2.6%) in 2011 in Saint-Louis (Senegal) [<xref ref-type="bibr" rid="scirp.57739-ref13">13</xref>] . This high rate justifies a proactive policy of screening for this population at risk of vascular complications in the long term, due to the lack of support for chronic hyperglycemia.</p></sec></sec><sec id="s4_3"><title>4.3. The Risk Factors for Diabetes Mellitus</title><p>An association between diabetes mellitus and age was highlighted in the statement (p = 0.003). This is consistent with the observation that the incidence of diabetes mellitus increases with age especially after 40 years. We do not, for contrary, observe statistically significant differences in the prevalence of diabetes mellitus gender (p = 0.91). Sex does not appear as a risk factor of diabetes mellitus in our study, and the relative prevalence of diabetes was almost equal between the sexes (6.4% for men against 6.8% for women). This finding is similar to that reported by Djrolo et al. (4.7% versus 4.5%) in Cotonou in 2007 [<xref ref-type="bibr" rid="scirp.57739-ref10">10</xref>] , for Balde et al. (6.2% versus 6.1%) in Labe (Guinea) in 2007 [<xref ref-type="bibr" rid="scirp.57739-ref12">12</xref>] and by Mbaye et al. (10.2% versus 10.5%) in Saint-Louis (Senegal) in 2011 [<xref ref-type="bibr" rid="scirp.57739-ref13">13</xref>] . Prevalence in male was reported in France in 2010 (6.4% against 4.5%) [<xref ref-type="bibr" rid="scirp.57739-ref23">23</xref>] and Madagascar in 2005 [<xref ref-type="bibr" rid="scirp.57739-ref24">24</xref>] . On the other hand, Algeria [<xref ref-type="bibr" rid="scirp.57739-ref25">25</xref>] and Niger [<xref ref-type="bibr" rid="scirp.57739-ref26">26</xref>] , the surveys were found higher in women.</p><p>In our study, the difference in the prevalence of diabetes mellitus in hypertensive and non-hypertensive patients was statistically significant (p = 0.005). High blood pressure (hypertension) is a cardio-metabolic factor usually associated with the common form of type 2 diabetes, insulin resistance, central obesity and metabolic syndrome. This is consistent with the majority of the literature data. Indeed, Mbaye in Senegal [<xref ref-type="bibr" rid="scirp.57739-ref13">13</xref>] , Dembele in Mali [<xref ref-type="bibr" rid="scirp.57739-ref27">27</xref>] , Lokrou in Ivory Coast [<xref ref-type="bibr" rid="scirp.57739-ref21">21</xref>] , Akintewe in Nigeria [<xref ref-type="bibr" rid="scirp.57739-ref28">28</xref>] , Balde in Guinea [<xref ref-type="bibr" rid="scirp.57739-ref12">12</xref>] and Wang in China [<xref ref-type="bibr" rid="scirp.57739-ref16">16</xref>] reported an association between frequent diabetes mellitus and hypertension.</p><p>The prevalence of diabetes mellitus in subjects with abdominal obesity was 10.3% (NCEP criteria) and 10.8% (IDF criteria). These rates are lower than those reported by Mbaye et al. St. Louis (Senegal) 52.0% (NCEP) and 73.6% (IDF) [<xref ref-type="bibr" rid="scirp.57739-ref13">13</xref>] . The prevalence of diabetes mellitus was against by only 3.8% (NCEP) and zero (FID) in subjects with no excess weight. Whatever the criteria used, an association between diabetes mellitus and abdominal obesity was highlighted (NCEP: p = 0.044; FID: p = 0.001), confirming that abdominal obesity is a major risk factor for diabetes mellitus type 2. This finding is similar to that of Mbaye et al. in Senegal in 2011 [<xref ref-type="bibr" rid="scirp.57739-ref13">13</xref>] .</p><p>Many opinions demonstrate a strong association between parental heredity and the onset of type 2 diabetes [<xref ref-type="bibr" rid="scirp.57739-ref13">13</xref>] , due to a transmission traits predisposing to insulin resistance; obesity; and/or the accelerated loss of insulin secretory function β. Our results in this direction, showing a statistical association between family history of diabetes and the prevalence of diabetes mellitus (p = 0.017). And family history of diabetes mellitus was a risk factor of diabetes mellitus in Wang’s report in China [<xref ref-type="bibr" rid="scirp.57739-ref16">16</xref>] and in Mbaye’s in Senegal [<xref ref-type="bibr" rid="scirp.57739-ref13">13</xref>] .</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>This study documented a high prevalence of diabetes mellitus (6.7%) in an urban adult population of Porto- Novo in Benin, confirming the alarming increase in prevalence of the disease; half of the cases were unknown. These data confirm the literature data showing that diabetes mellitus is growing rapidly in developing countries; the urban environment is a highly diabetogenic environment.</p></sec><sec id="s6"><title>Cite this paper</title><p>, (2015) Prevalence and Risk Factors of Diabetes Mellitus in the Adult Population of Porto-Novo (Benin). Journal of Diabetes Mellitus,05,135-140. doi: 10.4236/jdm.2015.53016</p></sec><sec id="s7"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.57739-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Shaw, J.E., Sicree, R.A. and Zimmet, P.Z. (2010) Global Estimates of the Prevalence of Diabetes for 2010 and 2030. Diabetes Research and Clinical Practice, 87, 4-14. http://dx.doi.org/10.1016/j.diabres.2009.10.007</mixed-citation></ref><ref id="scirp.57739-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Whiting, D.R., Guariguata, L., Weil, C. and Shaw, J. (2011) IDF Diabetes Atlas: Global Estimates of the Prevalence of Diabetes for 2011 and 2030. Diabetes Research and Clinical Practice, 94, 311-321.http://dx.doi.org/10.1016/j.diabres.2011.10.029</mixed-citation></ref><ref id="scirp.57739-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Wild, S., Roglic, G., Green, A., Sicree, R. and King, H. (2004) Global Prevalence of Diabetes: Estimates for the Year 2000 and Projections for 2030. Diabetes Care, 27, 1047-1053. http://dx.doi.org/10.2337/diacare.27.5.1047</mixed-citation></ref><ref id="scirp.57739-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Mbugua, P.K., Otieno, C.F., Kayima, J.K., Amayo, A.A. and McLigeyo, S.O. (2005) Diabetic Ketoacidosis: Clinical Presentation and Precipitating Factors at Kenyatta National Hospital, Nairobi. East African Medical Journal, 82, 191-196.</mixed-citation></ref><ref id="scirp.57739-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Guarignata, L., Whiting, D.R., Beagley, J., Linnenkamp, U., Hambleton, I., Cho, N.H., et al. (2013) Global Estimates of Diabetes Prevalence in Adults for 2013 and Projection for 2035 for the IDF Diabetes Atlas. Diabetes Research and Clinical Practice, 103, 137-149.</mixed-citation></ref><ref id="scirp.57739-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Labie, D. (2007) Le diabète en Afrique sub-saharienne. Médecine Sciences (Paris), 23, 320-322.http://dx.doi.org/10.1051/medsci/2007233320</mixed-citation></ref><ref id="scirp.57739-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Mbanya, J.C., Motala, A.A., Sobngwi, E., Assah, F.K. and Enoru, S.T. (2010) Diabetes in Sub-Saharan Africa. The Lancet, 375, 2254-2266. http://dx.doi.org/10.1016/S0140-6736(10)60550-8</mixed-citation></ref><ref id="scirp.57739-ref8"><label>8</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Djrolo</surname><given-names> F.</given-names></name>,<name name-style="western"><surname> Amoussou-Guénou</surname><given-names> K.D.</given-names></name>,<name name-style="western"><surname> Zannou</surname><given-names> D.M.</given-names></name>,<name name-style="western"><surname> Houinato</surname><given-names> D.</given-names></name>,<name name-style="western"><surname> Ahouandogbo</surname><given-names> F. and Houngbe F. </given-names></name>,<etal>et al</etal>. (<year>2003</year>)<article-title>Prévalence du diabètesucré au Bénin</article-title><source> Louvain Médical</source><volume> 122</volume>,<fpage> S258</fpage>-<lpage>S262</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.57739-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Rapport final del’enquête STEPS au Bénin (2008) Direction Nationale de la Projection Sanitaire. Programme Nationale de Luttecontre les Maladies Non Transmissibles.</mixed-citation></ref><ref id="scirp.57739-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Djrolo, F., Houinato, D., Gbary, A., Akoha, R., Djigbénoudé, O. and Sègnon, J. (2012) Prévalence du diabètesucrédansune population urbaine en milieu africain à Cotonou—Bénin. Médecine des maladies Métaboliques, 6, 167-169.http://dx.doi.org/10.1016/S1957-2557(12)70386-3</mixed-citation></ref><ref id="scirp.57739-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Organisationmondiale de la santé (OMS), Le Manuel de surveillance STEPS de l’OMS (2005) L’approche STEP wise de l’OMS pour la surveillance des facteurs de risque des maladies chroniques—4. Manuel de Surveillance STEPS de l’OMS, Organisationmondiale de la santé, Genève.</mixed-citation></ref><ref id="scirp.57739-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Baldé, N.M., Diallo, I., Baldé, M.D., Barry, I.S., Kaba, L., Diallo, M.M., et al. (2007) Diabetes and Impaired Fasting Glucose in Rural and Urban Populations in Futa Jallon (Guinea): Prevalence and Associated Risk Factors. Diabetes &amp; Metabolism, 33,114-120. http://dx.doi.org/10.1016/j.diabet.2006.10.001</mixed-citation></ref><ref id="scirp.57739-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Mbaye, M., Niang, K., Sarr, A., Mbaye, A., Diedhiou, D., Ndao, M.-D., et al. (2011) Aspects épidémiologiques du diabète au Sénégal: Résultats d’une enquête sur les facteurs de risque cardiovasculaire dans la ville de Saint-Louis. Médecine des Maladies Métaboliques, 5, 659-664. http://dx.doi.org/10.1016/S1957-2557(11)70343-1</mixed-citation></ref><ref id="scirp.57739-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">OuladSayad, N., Ouhdouch, F. and Diouri, A. (2009) P108: Profil épidémiologique et clinique des diabétiques de Demnat (Région de Marrakech). Diabetes &amp; Metabolism, 35, 53-54.</mixed-citation></ref><ref id="scirp.57739-ref15"><label>15</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Simon</surname><given-names> D. </given-names></name>,<etal>et al</etal>. (<year>2008</year>)<article-title>Définition, dépistageetépidémiologie du diabète de type 2</article-title><source> Médecine des maladies Métaboliques</source><volume> 2</volume>,<fpage> S5</fpage>-<lpage>S9</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.57739-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Wang, H., Qiu, Q., Tan, L., Liu, T., Deng, X.Q., Chen, Y.M., et al. (2009) Prevalence and Determinants of Diabetes and Impaired Fasting Glucose among Urban Community-Dwelling Adults in Guangzhou, China. Diabetes &amp; Metabolism, 35, 378-384.</mixed-citation></ref><ref id="scirp.57739-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Bonaldi, C., Vernay, M., Roudier, C., Salanave, B., Castetbon, K. and Fagot-Campagna, A. (2009) O68 Prévalence du diabète chez les adultes agés de 18 à 74 ans résidant en France métropolitaine. étude nationale nutrition santé, 2006-2007. Diabetes &amp; Metabolism, 35, A18. http://dx.doi.org/10.1016/S1262-3636(09)71760-4</mixed-citation></ref><ref id="scirp.57739-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Sobngwi, E., Mauvais-Jarvis, F., Vexiau, P., Mbanya, J.C. and Gautier, J.F. (2001) Diabetes in Africans. Part 1: Epidemiology and Clinical Specificities. Diabetes &amp; Metabolism, 27, 628-634.</mixed-citation></ref><ref id="scirp.57739-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Belhadj, M., Malek, R., Boudiba, A., Lezzar, E., Roula, D., Sekkal, F., et al. (2011) DiabCare Algérie. Médecine des Maladies Métaboliques, 5, 24-28. http://dx.doi.org/10.1016/S1957-2557(11)70068-2</mixed-citation></ref><ref id="scirp.57739-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Agence de la santé publique du Canada, Le diabète au Canada (2011) Perspective de santé publiquesur les faitsetchiffres. Agence de la santé publique du Canada, Ottawa.</mixed-citation></ref><ref id="scirp.57739-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Lokrou, A., Abodo, J., Yoboué, L. and Sanogo, A. (2008) Le diabète sucré à l’hopital militaire d’Abidjan: Une série ambulatoire de 473 cas. Diabetes &amp; Metabolism, 2, 639-642.</mixed-citation></ref><ref id="scirp.57739-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">King, H. and Rewers, M., WHO Ad Hoc Diabetes Reporting Group (1993) Global Estimates for Prevalence of Diabetes Mellitus and Impaired Glucose Tolerance in Adults. Diabetes Care, 16, 157-177.http://dx.doi.org/10.2337/diacare.16.1.157</mixed-citation></ref><ref id="scirp.57739-ref23"><label>23</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Fagot-Campagna</surname><given-names> A.</given-names></name>,<name name-style="western"><surname> Romon</surname><given-names> I.</given-names></name>,<name name-style="western"><surname> Fosse</surname><given-names> S. and Roudier</given-names></name>,<name name-style="western"><surname> C.</surname><given-names> Institut de veille sanitaire </given-names></name>,<etal>et al</etal>. (<year>2010</year>)<article-title>Prévalence et incidence du diabète, et mortalité liée au diabète en France—Synthèse épidémiologique</article-title><source> Bulletin épidémiologique hebdomadaire</source><volume> 42</volume>,<fpage> 425</fpage>-<lpage>431</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.57739-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Direction de la promotion de la santé, service de luttecontre les maladies liées au mode de vie (2005) Enquêtesur les facteurs de risque des maladies non transmissibles à Madagascar selonl’approche STEPS de l’OMS. Madagascar.</mixed-citation></ref><ref id="scirp.57739-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Ministère de la Santé, de la Population et de la Réformehospitalière (2005) Mesure des facteurs de risque des maladies non transmissiblesdans les deux Wilayaspilotes en Algérieselonl’approche STEPS de l’OMS. Algérie.</mixed-citation></ref><ref id="scirp.57739-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Direction de la luttecontre les maladies etendémies (2007) Enquêtesur les facteurs de risque des maladies non transmissibles au Niger selonl’approche STEPS de l’OMS. République du Niger.</mixed-citation></ref><ref id="scirp.57739-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Dembelé, M., Sidibé, A.T., Traoré, H.A., Tchombou, H.I.C., Zounet, B., Traore, A.K., et al. (2000) Association HTA— Diabètesucrédans le service de médecine interne de l’Hopital Point G—Bamako. Médecine d’Afrique Noire, 47, 276-280.</mixed-citation></ref><ref id="scirp.57739-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Akintewe, T.A. and Adetuyibi, A. (1986) Obesity and Hypertension in Diabetics Nigerians. Tropical and Geographical Medicine, 38, 146-149.</mixed-citation></ref></ref-list></back></article>