<?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">ODEM</journal-id><journal-title-group><journal-title>Occupational Diseases and Environmental Medicine</journal-title></journal-title-group><issn pub-type="epub">2333-3561</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/odem.2020.83007</article-id><article-id pub-id-type="publisher-id">ODEM-101492</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 Factors Associated High Blood Pressure among Women at the Market of Dantokpa in Benin in 2017
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mama</surname><given-names>Cisse Ibrahim</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>Alassani</surname><given-names>Adébayo</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>Adjobimey</surname><given-names>Mènonli</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>Alpha</surname><given-names>Bio Issifou Amadou</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>Mikponhoue</surname><given-names>Rose</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>Hinsou</surname><given-names>Antoine Vikkey</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>Ayelo</surname><given-names>Paul</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>National Teaching Hospital, Cotonou, Benin</addr-line></aff><aff id="aff1"><addr-line>Departemental Teaching Hospital of Borgou, Parakou, Benin</addr-line></aff><pub-date pub-type="epub"><day>15</day><month>07</month><year>2020</year></pub-date><volume>08</volume><issue>03</issue><fpage>91</fpage><lpage>98</lpage><history><date date-type="received"><day>3,</day>	<month>May</month>	<year>2020</year></date><date date-type="rev-recd"><day>12,</day>	<month>July</month>	<year>2020</year>	</date><date date-type="accepted"><day>15,</day>	<month>July</month>	<year>2020</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: Cardiovascular disease (CVD) is the leading cause of death worldwide. Among these CVDs, high blood pressure (hypertension) is the main one. The purpose of this study is to investigate the prevalence and factors associated with hypertension in women in the market of Dantokpa. 
  Study method: This is a cross-sectional, descriptive and analytical survey undertaken on women selling in the Dantokpa market. The dependent variable is hypertension. Data analysis was done using Epi data 3.1 software. 
  Results: A total of 255 women were enrolled in the study. The average age was 41.6 &#177; 12.13 years with extremes of 18 and 84 years. Among women, 114 (34%) were suffering from hypertension. The factors associated with hypertension in women in the Dantokpa market were above 40 years old, educated women, physical inactivity, family history of hypertension, salty food. 
  Conclusion: At the end of this study, it appears that the prevalence of hypertension in women in the Dantokpa market is higher than that of the general female population. Therapeutic and preventive measures are necessary.
 
</p></abstract><kwd-group><kwd>High Blood Pressure</kwd><kwd> Prevalence</kwd><kwd> Associated Factors</kwd><kwd> Dantokpa</kwd><kwd> Benin</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Non-communicable diseases are a global public health problem, especially in developing countries. It is a group of diseases affecting subjects above age 70. Young people are increasingly affected and they are responsible for 15 million premature deaths (subjects from 30 to 69 years) among which 80% occur in developing countries. Anyway, action is needed because 90% of deaths from non-communicable diseases will occur in these non-developed countries by 2030 [<xref ref-type="bibr" rid="scirp.101492-ref1">1</xref>]. Among these non-communicable diseases, hypertension (hypertension) is one of the most important. Estimation from the World Health Organization has shown that 40% of adults over the age of 25 are living with hypertension [<xref ref-type="bibr" rid="scirp.101492-ref2">2</xref>]. It is the leading cause of cardiovascular mortality worldwide [<xref ref-type="bibr" rid="scirp.101492-ref3">3</xref>] with 7.1 million deaths every year [<xref ref-type="bibr" rid="scirp.101492-ref4">4</xref>]. Hypertension is a major concern because of its frequency but also of its cardiac, neurological and renal complications [<xref ref-type="bibr" rid="scirp.101492-ref5">5</xref>] with 50% of deaths due to cerebrovascular accidents and 45% of deaths due to cardiac diseases [<xref ref-type="bibr" rid="scirp.101492-ref6">6</xref>]. In gynecologic department, hypertension is the main cause of maternal and fetal death [<xref ref-type="bibr" rid="scirp.101492-ref7">7</xref>]. The risk factors for hypertension are threefold: lifestyle, metabolic and biochemical. Lifestyle habits include alcohol, tobacco, poor nutrition and physical activity; metabolic factors combine overweight, obesity, diabetes; biochemical factors are concerned with hypercholesterolemia and hypertriglyceridemia [<xref ref-type="bibr" rid="scirp.101492-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.101492-ref9">9</xref>]. Hypertension is well studied in Benin. According to the 2015 STEPS survey [<xref ref-type="bibr" rid="scirp.101492-ref10">10</xref>], its prevalence is 25.9%. However, little data exist on its prevalence among women in the Dantokpa market who contribute enormously to the economic activity of the country. This is a group of women at risk due to their activity that forces them to be sedentary all day. The results of this study will determine the prevalence of hypertension and identify the factors associated with it in order to improve the health status in this social group.</p></sec><sec id="s2"><title>2. Methodology</title><p>&#183; Study setting: the study took place in Dantokpa market, the largest market in Benin located in the Littoral department; women in this market contribute enormously to the economic activity of the country.</p><p>&#183; Study design and period: this was a descriptive and analytical cross-sectional study covering the period from June 18, 2017 to September 18, 2017.</p><p>&#183; Study population: it consists of women vendors of the Dantokpa market, aged at least 18 years and who have given their consent to participate in the study. Women who were unable to respond and who were pregnant were not included in the study.</p><p>&#183; Sampling method: the sample size was calculated using Schwartz’s formula [<xref ref-type="bibr" rid="scirp.101492-ref8">8</xref>]. A comprehensive census of women has been made for this purpose.</p><p>n = ε α 2 p q i 2</p><p>n = size of study population.</p><p>p = 20.9% is hypertension prevalence in women according to STEPS 2015 [<xref ref-type="bibr" rid="scirp.101492-ref10">10</xref>] in Littoral department in Benin.</p><p>q = 1 − p = 79.1% is non hypertension prevalence in women according STEPS 2015 [<xref ref-type="bibr" rid="scirp.101492-ref10">10</xref>] in Littoral department in Benin.</p><p>εα<sup>2</sup> = 1.96<sup>2</sup> is error risk.</p><p>i = 0.05 is the precision.</p><p>n = (1.96)<sup>2</sup> &#215; 0.209 &#215; 0.791/(0.05)<sup>2</sup> = 254.035 round off 255.</p><p>&#183; Variables: the dependent variable studied is overweight women with hypertension. Blood pressure was measured in all participants on their both arms after 10 minutes of rest. Only the highest value was considered for assessment of hypertension. Women with systolic blood pressure (SBP) above or equal to 140 mm Hg with a diastolic blood pressure (DBP) above or equal to 90 mmHg including those with past history of hypertensive were considered to have hypertension condition. Women with hypertension were treated and advice was given in how to manage balanced diet, physical activity and medication, as appropriate. The independent variables are socio-demographic data and lifestyle. Women practicing less than 30 minutes physical activity for instance walking per day 5 times per week were considered sedentary. A waist measurement greater than or equal to 80 cm is considered to be above the threshold of normal value.</p><p>&#183; Data collection: data collection was done by direct interview with enrolled women. The blood pressure and anthropometric data were measured after each interview conducted. A questionnaire and other appropriate translation tools were used for those who are not speaking french.</p><p>&#183; Data entry and analysis: the data were entered using the EPIDATA version 3.1 software after checking each file, they were analyzed using the EPIINFO version 7, STATA 11 and Alimentheque software. A p-value of less than 0.05 was considered to be significant.</p><p>&#183; Ethical consideration and approval: Throughout the survey, anonymity, privacy and confidentiality of the information gathered was emphasized and upheld. Data collected during this study were stored in secured condition. Any information that was obtained in this study that can be identified remained confidential and was disclosed with the participant’s consent or as required by law.</p><p>&#183; Informed consent: before commencing the survey, consent is obtained from every participant, after explaining the purpose of the research, the nature of their requested participation, and an opportunity for them to ask questions. Participation is completely voluntary, and the participants were informed of their alternatives to participation, including their right to refuse or withdraw participation at any time during the study without penalty.</p></sec><sec id="s3"><title>3. Results</title><p>A total of 255 women were enrolled in the study. The average age is 41.6 &#177; 12.13 years with an extreme of 18 and 84 years. Women under the age of 40 represent 44% of the study population. A Proportion of married women was (79%), followed by educated (73%), those having a high waist (89%), consuming frozen food (96%) or consuming salty (96%) were observed. Also in 5 women almost 3 (58%) are active, 3 in 10 women (29%) have a family history of hypertension (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>Among women, 114 (34%) suffer from hypertension. Of these, 16 (14%) are newly screened. The average SBP is 128.67 &#177; 26.57 mmHg with a minimum of 110 mmHg and a maximum of 201 mmHg. The average of the DBP is 69.1 &#177; 25.26 mmHg with a minimum of 59 mmHg and a maximum of 99 mmHg (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>In univariate analysis, the factors associated with hypertension in women in the market of Dantokpa are age &gt;40 years, educated women, family history of hypertension, sedentary lifestyle, salty food, overweight and a high waistline (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>In multivariate analysis, the factors associated with overweight among women in the Dantokpa market are age &gt;40 years, educated women, physical inactivity, family history of hypertension, salty food (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>The present study, is one of the few studies focusing on hypertension among women on the Dantokpa market, had adopted an acceptable methodology through a transversal, descriptive and analytical study. Identifying the factors associated with using a logistic regression model for reliable results.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> General characteristics of the study population (n = 255)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >n (%)</th><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >n (%)</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤40</td><td align="center" valign="middle" >148 (44)</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >264 (79)</td></tr><tr><td align="center" valign="middle" >Physical activity level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Body mass index</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Active</td><td align="center" valign="middle" >196 (58)</td><td align="center" valign="middle" >&lt;25 kg/m<sup>2</sup></td><td align="center" valign="middle" >44 (13)</td></tr><tr><td align="center" valign="middle" >Education level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Family history of hypertension</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >None</td><td align="center" valign="middle" >92 (27)</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >98(29)</td></tr><tr><td align="center" valign="middle" >Waist circumference</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Recent weight gain</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >299 (89)</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >136 (40)</td></tr><tr><td align="center" valign="middle" >Energy intake</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Lipid intake</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High energy intake</td><td align="center" valign="middle" >136 (40)</td><td align="center" valign="middle" >High fat intake</td><td align="center" valign="middle" >84 (25)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Consumption of fruits and vegetables</td><td align="center" valign="middle" >Consumption of frozen food</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;5 servings</td><td align="center" valign="middle" >326 (97)</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >323 (96)</td></tr><tr><td align="center" valign="middle" >Salty food</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Adding salt when cooking</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >54 (16)</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >323 (96)</td></tr><tr><td align="center" valign="middle" >Use of canned food</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Alcohol consumption</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >276 (82)</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >215 (64)</td></tr><tr><td align="center" valign="middle" >Blood pressure</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Newly screened hypertension</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hypertension</td><td align="center" valign="middle" >114 (34)</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >16 (14)</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Factors associated with high blood pressure in women of Dantokpa (univariate analysis)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >Hypertension (%)</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" >≤40</td><td align="center" valign="middle" >21.62</td><td align="center" valign="middle"  rowspan="2"  >0.003</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >&gt;40</td><td align="center" valign="middle" >43.62</td></tr><tr><td align="center" valign="middle" >Education level</td><td align="center" valign="middle" >None</td><td align="center" valign="middle" >17.39</td><td align="center" valign="middle"  rowspan="2"  >0.005</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Educated</td><td align="center" valign="middle" >40.16</td></tr><tr><td align="center" valign="middle" >Family history of hypertension</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >46.27</td><td align="center" valign="middle"  rowspan="2"  >0.006</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >25.74</td></tr><tr><td align="center" valign="middle" >Physical activity level</td><td align="center" valign="middle" >No active</td><td align="center" valign="middle" >42.86</td><td align="center" valign="middle"  rowspan="2"  >0.04</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Active</td><td align="center" valign="middle" >27.55</td></tr><tr><td align="center" valign="middle" >Salty food</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >38.30</td><td align="center" valign="middle"  rowspan="2"  >0.006</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >11.11</td></tr><tr><td align="center" valign="middle" >Body mass index</td><td align="center" valign="middle" >&lt;25 kg/m<sup>2</sup></td><td align="center" valign="middle" >15.38</td><td align="center" valign="middle"  rowspan="2"  >0.029</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >≥25 kg/m<sup>2</sup></td><td align="center" valign="middle" >37.32</td></tr><tr><td align="center" valign="middle" >Waist circumference</td><td align="center" valign="middle" >Normal (&lt;80 cm)</td><td align="center" valign="middle" >11.11</td><td align="center" valign="middle"  rowspan="2"  >0.03</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >High (≥80 cm)</td><td align="center" valign="middle" >36.67</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Factors associated with high blood pressure in women of Dantokpa (multivariate analysis)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >OR (IC &#224; 95%)</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Salty food</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >1</td><td align="center" valign="middle"  rowspan="2"  >0.01</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >0.14 [0.03; 0.60]</td></tr><tr><td align="center" valign="middle" >Physical activity level</td><td align="center" valign="middle" >Active</td><td align="center" valign="middle" >1</td><td align="center" valign="middle"  rowspan="2"  >0.03</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >No active</td><td align="center" valign="middle" >2.07 [1.07; 3.99]</td></tr><tr><td align="center" valign="middle" >Family history of hypertension</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >1</td><td align="center" valign="middle"  rowspan="2"  >0.01</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >2.32 [1.20; 4.50]</td></tr><tr><td align="center" valign="middle" >Education level</td><td align="center" valign="middle" >None</td><td align="center" valign="middle" >1</td><td align="center" valign="middle"  rowspan="2"  >0.01</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Educated</td><td align="center" valign="middle" >3.32 [1.29; 8.53]</td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" >≤40</td><td align="center" valign="middle" >1</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >&gt;40</td><td align="center" valign="middle" >5.27 [2.25; 12.34]</td></tr></tbody></table></table-wrap><p>At the end of this study, the prevalence of hypertension in this population is 34%. This prevalence is higher than that of 24.3% reported in the general population among women in the 2015 STEPS survey [<xref ref-type="bibr" rid="scirp.101492-ref10">10</xref>]. This higher prevalence could be explained by the profession (selling at market) of these women which forces them to remain sedentary all day; being sedentary is considered a risk factor for non-communicable diseases like hypertension [<xref ref-type="bibr" rid="scirp.101492-ref11">11</xref>]. Similar prevalence rates of 31% and 35.5% were reported among women by Drame [<xref ref-type="bibr" rid="scirp.101492-ref12">12</xref>] in the region of Mono, Couffo and Donga in Benin respectively and by Awuah [<xref ref-type="bibr" rid="scirp.101492-ref6">6</xref>] in Ghana respectively. Among hypertensive women, 14% are newly screened so their pathology is unknown with an increased risk of developing complications. In Drame’s study [<xref ref-type="bibr" rid="scirp.101492-ref12">12</xref>], 6% of women did not know they had hypertension. It is therefore a pathology that should be screened because most of the symptoms are absent at the beginning stage. This high prevalence of hypertension needs more research on the factors associated with it.</p><p>In multivariate analysis, the factors associated with overweight among women in the Dantokpa market are age above 40 years, educated women, physical inactivity, family history of hypertension, consuming salty food.</p><p>In the studies of Afsargharehbagh, Tinmou and Pierre [<xref ref-type="bibr" rid="scirp.101492-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.101492-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.101492-ref15">15</xref>], advanced age is a factor associated with hypertension confirming the association found in the present study. Women with higher education were more at risk of hypertension. Bosu [<xref ref-type="bibr" rid="scirp.101492-ref16">16</xref>] reported similar association. Indeed, the women of the Dantokpa market with a higher level of education were those who had more financial property. They do less movement which promotes physical inactivity and a sedentary lifestyle. These last two situations are factors favoring hypertension [<xref ref-type="bibr" rid="scirp.101492-ref12">12</xref>].</p><p>The association between physical inactivity and hypertension found in the present study was also reported by Leung [<xref ref-type="bibr" rid="scirp.101492-ref17">17</xref>] in Canada. To control this risk factor, the creation of a physical activity center within the market combine with education of these women may be the way to contribute to preventing this condition.</p><p>The family history of hypertension is associated with hypertension. Youseff [<xref ref-type="bibr" rid="scirp.101492-ref18">18</xref>] and Ondimu [<xref ref-type="bibr" rid="scirp.101492-ref4">4</xref>] reported the same associations. It is an avoidable risk factor by adopting a lifestyle that promotes a healthy and balanced diet and regular physical activity.</p><p>Eating salty food is associated with hypertension. In fact, the salt promotes water retention in the body responsible for the increase in blood volume and therefore an increase in blood pressure. Drame [<xref ref-type="bibr" rid="scirp.101492-ref12">12</xref>] and Provido [<xref ref-type="bibr" rid="scirp.101492-ref9">9</xref>] reported the same associations.</p></sec><sec id="s5"><title>5. Conclusion</title><p>At the end of this study, it appears that the prevalence of hypertension in women in the Dantokpa market is higher than that of the general female population. Therapeutic and preventive measures are necessary and must be taken into account for changes in lifestyle through regular physical activity and the reduction of salt consumption. An emphasis that will be placed on older women, with a family history of hypertension or educated.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Ibrahim, M.C., Ad&#233;bayo, A., M&#232;nonli, A., Amadou, A.B.I., Rose, M., Vikkey, H.A. and Paul, A. (2020) Prevalence and Factors Associated High Blood Pressure among Women at the Market of Dantokpa in Benin in 2017. Occupational Diseases and Environmental Medicine, 8, 91-98. https://doi.org/10.4236/odem.2020.83007</p></sec></body><back><ref-list><title>References</title><ref id="scirp.101492-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Amanyire, J., Tumwebaze, M., Mugisha, M.K. and Bright, L.W. (2019) Prevalence and Risk Factors for Hypertension, Diabetes and Obesity among Lecturers and Support Staff of Bishop Stuart University in Mbarara, Uganda. Open Journal of Applied Sciences, 9, 126-137. https://doi.org/10.4236/ojapps.2019.93012</mixed-citation></ref><ref id="scirp.101492-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Chelo, D., Mah, E.M., Chiabi, E.N., Chiabi, A. and Ndombo, P. (2019) Prevalence and Factors Associated with Hypertension in Primary School Children, in the Centre Region of Cameroon. Translational Pediatrics, 8, 391-397. https://doi.org/10.21037/tp.2019.03.02</mixed-citation></ref><ref id="scirp.101492-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Lamelas, P., Diaz, R., Orlandini, A., Avezum, A., Oliveira, G., Mattos, A., et al. (2019) Prevalence, Awareness, Treatment and Control of Hypertension in Rural and Urban Communities in Latin American Countries. Journal of Hypertension, 37, 1-9. https://doi.org/10.1097/HJH.0000000000002108</mixed-citation></ref><ref id="scirp.101492-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Ondimu, D.O., Kikuvi, G.M. and Otieno, W.N. (2019) Risk Factors for Hypertension among Young Adults (18-35) Years Attending in Tenwek Mission Hospital, Bomet County, Kenya in 2018. Pan African Medical Journal, 33, 210. https://doi.org/10.11604/pamj.2019.33.210.18407</mixed-citation></ref><ref id="scirp.101492-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Gregolin, C.S., Souza, S.L., Oliveira, R., Louren&amp;#231;o, F.J., Nascimento, A.F. and Sugizaki, M.M. (2019) Prevalence of Hypertension and Risk Factors in Sinop City (Mato Grosso/Brazil). Scientific Electronic Archives, 12, 1-9. https://doi.org/10.36560/1262019973</mixed-citation></ref><ref id="scirp.101492-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Awuah, R.B., Aikins, A., Dodoo, F.N., Meeks, K., Beune, E., Klipstein-Grobusch, K., et al. (2019) Psychosocial Factors and Hypertension Prevalence among Ghanaians in Ghana and Ghanaian Migrants in Europe: The RODAM Study. Health Psychology Open, 6, 2055102919885752. https://doi.org/10.1177/2055102919885752</mixed-citation></ref><ref id="scirp.101492-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Laine, K., Murzakanova, G. and Sole, K.B. (2019) Prevalence and Risk of Pre-Eclampsia and Gestational Hypertension in Twin Pregnancies: A Population-Based Register Study. BMJ Open, 9, e029908. https://doi.org/10.1136/bmjopen-2019-029908</mixed-citation></ref><ref id="scirp.101492-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Vijayakarthikeyan, M. and Muthulakshmi, M. (2020) Determinants of Hypertension in a Rural Area of Kancheepuram District, Tamilnadu. Global Journal of Medical Research, 10, 47-57. https://doi.org/10.34257/GJMRBVOL20IS1PG47</mixed-citation></ref><ref id="scirp.101492-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Provido, S., Abris, G.P., Hong, S., Yu, S.H., Lee, C.B. and Lee, J.E. (2020) Association of Fried Food Intake with Prehypertension and Hypertension: The Filipino Women’s Diet and Health Study. Nutrition Research and Practice, 14, 76-84. https://doi.org/10.4162/nrp.2020.14.1.76</mixed-citation></ref><ref id="scirp.101492-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">STEPS Study, Prevalence of Hypertension in Population, Republic of Benin, 2015.</mixed-citation></ref><ref id="scirp.101492-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Hansen, B.H., Kolle, E., Steen-Johannessen, J., Dalene, K.E., Ekelund, U. and Anderssen, S.A. (2019) Monitoring Population Levels of Physical Activity and Sedentary Time in Norway across the Lifespan. Scandinavian Journal of Medicine &amp; Science in Sports, 29, 105-112. https://doi.org/10.1111/sms.13314</mixed-citation></ref><ref id="scirp.101492-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Dramé, M., Houehanou, C., Sogbohossou, P., Paré, R., Ekambi, A., Mizéhoun-Adissoda, C., et al. (2018) Determinants of High Blood Pressure and Quality of Management in Three Regions of Benin. Open Journal of Epidemiology, 8, 14-28. https://doi.org/10.4236/ojepi.2018.81002</mixed-citation></ref><ref id="scirp.101492-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Afsargharehbagh, R., Rezaie-Keikhaie, K., Rafiemanesh, H., Balouchi, A., Bouya, S. and Dehghan, D. (2019) Hypertension and Pre-Hypertension among Iranian Adults Population: A Meta-Analysis of Prevalence, Awareness, Treatment, and Control. Current Hypertension Reports, 21, 27-39. https://doi.org/10.1007/s11906-019-0933-z</mixed-citation></ref><ref id="scirp.101492-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Timnou, T., Boombhi, J., Simeni Njonnou, S.R., Jingi, A.M., Nkem Efon, K., Ba, H., et al. (2019) Prevalence of Hypertension and Associated Risk Factors among a Group of Prisoners in Yaounde Central Prison: A Cross-Sectional Study. Journal of Xiangya Medicine, 1-8. https://doi.org/10.1155/2020/5016327</mixed-citation></ref><ref id="scirp.101492-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Pierre, S., Seo, G. and Rivera, V.R. (2019) Prevalence of Hypertension and Cardiovascular Risk Factors among Long-Term AIDS Survivors: A Report from the Field. Journal of Clinical Hypertension, 21, 1558-1566. https://doi.org/10.1111/jch.13663</mixed-citation></ref><ref id="scirp.101492-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Bosu, W.K. (2016) Determinants of Mean Blood Pressure and Hypertension among Workers in West Africa. International Journal of Hypertension, 2016, Article ID: 3192149. https://doi.org/10.1155/2016/3192149</mixed-citation></ref><ref id="scirp.101492-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Leung, A., Bushnik, T., Hennessy, D., McAlister, F. and Manuel, D. (2019) Risk Factors for Hypertension in Canada. Health Reports, 30, 3-13.</mixed-citation></ref><ref id="scirp.101492-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Yousef, K., Anwar, B., Hashem, J., Sukaina, R.I., Mohammed, E., Dana, H., et al. (2019) Hypertension in Jordan: Prevalence, Awareness, Control, and Its Associated Factors. Hindawi International Journal of Hypertension, 2019, Article ID: 3210617. https://doi.org/10.1155/2019/3210617</mixed-citation></ref></ref-list></back></article>