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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">PHCFM</journal-id>
<journal-title-group>
<journal-title>African Journal of Primary Health Care &#x0026; Family Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">2071-2928</issn>
<issn pub-type="epub">2071-2936</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">PHCFM-14-3244</article-id>
<article-id pub-id-type="doi">10.4102/phcfm.v14i1.3244</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Erectile dysfunction predictors in hypertensives at a primary care clinic in Southern Nigeria</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6757-4223</contrib-id>
<name>
<surname>Ogunfowokan</surname>
<given-names>Oluwagbenga</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1192-2516</contrib-id>
<name>
<surname>Ezemenahi</surname>
<given-names>Sylvia I.</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
<xref ref-type="aff" rid="AF0003">3</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6769-560X</contrib-id>
<name>
<surname>Alabi</surname>
<given-names>Anthonia N.</given-names>
</name>
<xref ref-type="aff" rid="AF0004">4</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5204-5396</contrib-id>
<name>
<surname>Aigbokhaode</surname>
<given-names>Adesuwa Q.</given-names>
</name>
<xref ref-type="aff" rid="AF0005">5</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2616-3214</contrib-id>
<name>
<surname>Ogunfowokan</surname>
<given-names>Bamidele A.</given-names>
</name>
<xref ref-type="aff" rid="AF0006">6</xref>
</contrib>
<aff id="AF0001"><label>1</label>Faculty of Medicine, Lincoln University, Petaling Jaya Selangor, Malaysia</aff>
<aff id="AF0002"><label>2</label>Department of Family Medicine, Faculty of Medicine, Nnamdi Azikiwe University Teaching Hospital, Nnewi, Nigeria</aff>
<aff id="AF0003"><label>3</label>Department of Family Medicine, Faculty of Medicine, Nnamdi Azikiwe University, Awka, Nigeria</aff>
<aff id="AF0004"><label>4</label>Department of Family Medicine, University of Ilorin, Ilorin, Nigeria</aff>
<aff id="AF0005"><label>5</label>Department of Community Medicine, Federal Medical Centre, Asaba, Nigeria</aff>
<aff id="AF0006"><label>6</label>Department of Family Medicine, The Ark Medical Centre, Asaba, Nigeria</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Sylvia Ezemenahi, <email xlink:href="si.ezemenahi@unizik.edu.ng">si.ezemenahi@unizik.edu.ng</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>30</day><month>06</month><year>2022</year></pub-date>
<pub-date pub-type="collection"><year>2022</year></pub-date>
<volume>14</volume>
<issue>1</issue>
<elocation-id>3244</elocation-id>
<history>
<date date-type="received"><day>10</day><month>09</month><year>2021</year></date>
<date date-type="accepted"><day>16</day><month>02</month><year>2022</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2022. The Authors</copyright-statement>
<copyright-year>2022</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>Erectile dysfunction (ED) has been described as an important public health problem by the National Institutes of Health Consensus Development Conference Panel. It causes significant distress in men and dysfunctional family dynamics.</p>
</sec>
<sec id="st2">
<title>Aim</title>
<p>This study sought to identify the relationship between level of education and ED amongst hypertensive men (aged 30&#x2013;89 years) attending outpatient clinics (OPCs) at the Federal Medical Centre (FMC), Asaba.</p>
</sec>
<sec id="st3">
<title>Setting</title>
<p>This study was conducted in the OPCs at FMC, Asaba, Delta State, Nigeria.</p>
</sec>
<sec id="st4">
<title>Methods</title>
<p>After obtaining approval from the ethics and research committees in Asaba, 184 consenting hypertensive men who met the eligibility criteria were selected by systematic random sampling to participate in the study from October 2015 to January 2016. This study was a cross-sectional survey. Data were collected with a semistructured, interviewer-administered questionnaire adopted from the International Index of Sexual Health Inventory for Men. The study complied with the principles of Helsinki and Good Clinical Practice.</p>
</sec>
<sec id="st5">
<title>Results</title>
<p>The mean age &#x00B1; standard deviation and range of the respondents were 55.1 (&#x00B1;12.4) and 30&#x2013;89 years, respectively. On logistic regression, higher level of education (secondary school and above) (odds ratio [OR] = 15.943, 95&#x0025; confidence interval [CI] = 1.517&#x2013;167.502) was found to be a predictor of ED amongst the study participants.</p>
</sec>
<sec id="st6">
<title>Conclusion</title>
<p>This study showed that formal education up to secondary level and use of diuretics were significantly associated with ED amongst adults with hypertension.</p>
</sec>
</abstract>
<kwd-group>
<kwd>erectile dysfunction</kwd>
<kwd>hypertension</kwd>
<kwd>men</kwd>
<kwd>education level</kwd>
<kwd>diuretics, sexual dysfunction, International Index of Sexual Health Inventory</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Erectile dysfunction (ED) has been described as an important public health problem by the National Institutes of Health Consensus Development Conference Panel.<sup><xref ref-type="bibr" rid="CIT0001">1</xref></sup> It is defined as the inability to achieve or sustain an erection for satisfactory sexual activity.<sup><xref ref-type="bibr" rid="CIT0002">2</xref></sup> A variety of chronic illnesses such as cardiovascular diseases, diabetes mellitus, neurological diseases and depression are associated with higher rates of ED.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup> In medical practice, physicians frequently attribute sexual problems to antihypertensive drugs and modify or discontinue medication regimens to address this concern.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> However, scientific evidence that links antihypertensive drugs to sexual dysfunction in a placebo-controlled trial is limited.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup></p>
<p>The association of ED and vascular risk factors, including hypertension, raises the hypothesis that endothelial dysfunction is the common link.<sup><xref ref-type="bibr" rid="CIT0005">5</xref></sup> Hypertension is a traditional risk factor for cardiovascular disease.<sup><xref ref-type="bibr" rid="CIT0006">6</xref></sup> Recent analyses suggest that about 67&#x0025; &#x2013; 68&#x0025; of men with hypertension have some degree of ED.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> In the United States, ED related to hypertension was found to be more severe in nature than ED in the general population.<sup><xref ref-type="bibr" rid="CIT0005">5</xref></sup> Apart from the negative effects of ED, more worrisome is the link between ED and hypertension. This is supported by Min et al., who found ED to be associated with markers of adverse cardiovascular prognosis and an independent predictor of severe coronary heart disease.<sup><xref ref-type="bibr" rid="CIT0007">7</xref></sup></p>
<p>A review of literature shows few studies on the relationship between ED and education level amongst hypertensive men. One such study was done by Abdulbari et al. in Qatari men.<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup> The study revealed that age, level of education, diabetes mellitus, occupation and duration of hypertension were significant predictors of ED. A similar study conducted in the Niger Delta region of Nigeria on the prevalence and risk factors for ED by Idung et al. observed that level of education, diabetes mellitus, hypertension and their medications played a major role as risk factors for ED.<sup><xref ref-type="bibr" rid="CIT0009">9</xref></sup> The authors reported that ED is one of the major social problems causing significant distress in men.<sup><xref ref-type="bibr" rid="CIT0009">9</xref></sup></p>
<p>It is with this background that this study was carried out to identify the relationship between level of education and ED amongst hypertensive men (aged 30&#x2013;89 years) attending outpatient clinics (OPCs) at the Federal Medical Centre (FMC), Asaba, South-South Nigeria.</p>
</sec>
<sec id="s0002">
<title>Materials and methods</title>
<sec id="s20003">
<title>Study design</title>
<p>A cross-sectional study design was carried out using systematic random sampling. Around 184 hypertensive men aged 30&#x2013;89 years, attending the OPCs at FMC, Asaba, were recruited into the study from October 2015 to January 2016. Data were collected using a semistructured, interviewer-administered questionnaire adopted from the International Index of Sexual Health Inventory for Men (SHIM). Written informed consent was obtained from the consenting respondents. Confidentiality and privacy were ensured before data collection interview.</p>
</sec>
<sec id="s20004">
<title>Setting</title>
<p>The OPCs at FMC, Asaba comprise the children&#x2019;s, adult and geriatrics clinics. The clinics are run by family physicians. This study was conducted in the adult and the geriatrics arms of the clinics.</p>
</sec>
<sec id="s20005">
<title>Study population</title>
<p>The study population were men between the ages of 30 and 89 years, attending the adult and the geriatrics clinics of the outpatient department of the FMC, Asaba. Adult hypertensive male patients 18 years and above, regardless of duration, smoking and alcohol consumption status, who consented to participate in the study were included, whilst those with a past history of surgical conditions that could cause ED were excluded from the study.</p>
</sec>
<sec id="s20006">
<title>Data collection</title>
<p>Data on sexual performance, educational and socio-economic status and other risk factors for ED were collected using a semistructured, interviewer-administered questionnaire adopted from the International Index of SHIM. With the SHIM scores obtained, ED was classified as follows: no ED = 22&#x2013;25; mild ED = 17&#x2013;21; mild to moderate ED = 12&#x2013;6; moderate ED = 8&#x2013;11 and severe ED = 1&#x2013;7.</p>
</sec>
<sec id="s20007">
<title>Data analysis</title>
<p>Data cleansing was done, then entered into IBM Statistical Package for Social Sciences (SPSS) version 20 and analysed. Categorical data such as educational status and marital status were presented as percentages, whilst continuous variables such as age were expressed as means &#x00B1; standard deviation. Bivariate analysis was carried out to test the association between ED and independent variables such as age, marital status and antihypertensive drugs. Logistic regression analysis was used to ascertain the relationship between predictor variables and ED.</p>
</sec>
<sec id="s20008">
<title>Ethical considerations</title>
<p>The ethical consideration was approved by the Research and Ethical Committee of the Federal Medical Centre Asaba, Delta State, Nigeria.</p>
</sec>
</sec>
<sec id="s0009">
<title>Results</title>
<p>A total of 184 male hypertensive subjects were recruited in this study, and the sociodemographic characteristics were as shown in <xref ref-type="table" rid="T0001">Table 1</xref>.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>The sociodemographic characteristics of the respondents.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Sociodemographic characteristics</th>
<th valign="top" align="center">Frequency (<italic>n</italic> = 184)</th>
<th valign="top" align="center">Percentage</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="3"><bold>Age group (years)</bold></td>
</tr>
<tr>
<td align="left">30&#x2013;39</td>
<td align="center">17</td>
<td align="center">93.0</td>
</tr>
<tr>
<td align="left">40&#x2013;49</td>
<td align="center">51</td>
<td align="center">27.7</td>
</tr>
<tr>
<td align="left">50&#x2013;59</td>
<td align="center">46</td>
<td align="center">25.0</td>
</tr>
<tr>
<td align="left">60&#x2013;69</td>
<td align="center">41</td>
<td align="center">22.3</td>
</tr>
<tr>
<td align="left">70&#x2013;79</td>
<td align="center">26</td>
<td align="center">14.1</td>
</tr>
<tr>
<td align="left">80&#x2013;89</td>
<td align="center">3</td>
<td align="center">1.6</td>
</tr>
<tr>
<td align="left" colspan="3"><bold>Level of education</bold></td>
</tr>
<tr>
<td align="left">None</td>
<td align="center">11</td>
<td align="center">6.0</td>
</tr>
<tr>
<td align="left">Primary</td>
<td align="center">32</td>
<td align="center">17.4</td>
</tr>
<tr>
<td align="left">Secondary</td>
<td align="center">35</td>
<td align="center">19.0</td>
</tr>
<tr>
<td align="left">Post-secondary</td>
<td align="center">44</td>
<td align="center">23.9</td>
</tr>
<tr>
<td align="left">University</td>
<td align="center">62</td>
<td align="center">33.7</td>
</tr>
<tr>
<td align="left" colspan="3"><bold>Marital status</bold></td>
</tr>
<tr>
<td align="left">Single</td>
<td align="center">15</td>
<td align="center">8.2</td>
</tr>
<tr>
<td align="left">Married</td>
<td align="center">138</td>
<td align="center">75.0</td>
</tr>
<tr>
<td align="left">Divorced</td>
<td align="center">8</td>
<td align="center">4.3</td>
</tr>
<tr>
<td align="left">Cohabiting</td>
<td align="center">7</td>
<td align="center">3.8</td>
</tr>
<tr>
<td align="left">Widowed</td>
<td align="center">16</td>
<td align="center">8.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: Age group: mean age 55.1 (&#x00B1; 12.4 years). The total respondents with erectile dysfunction were 142 (i.e. 77.2&#x0025; of the study population), as seen in <xref ref-type="table" rid="T0002">Table 2</xref>.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Prevalence of erectile dysfunction amongst respondents.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Erectile dysfunction</th>
<th valign="top" align="center">Frequency (<italic>n</italic> = 184)</th>
<th valign="top" align="center">Percentage</th>
<th valign="top" align="center">95&#x0025; CI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Presence of ED</td>
<td align="center">142</td>
<td align="center">77.2</td>
<td align="center">71&#x0025; &#x2013; 83&#x0025;</td>
</tr>
<tr>
<td align="left">Absence of ED</td>
<td align="center">42</td>
<td align="center">22.8</td>
<td align="center">17&#x0025; &#x2013; 29&#x0025;</td>
</tr>
<tr>
<td align="left" colspan="4"><hr/></td>
</tr>
<tr>
<td align="left"><bold>Total</bold></td>
<td align="center"><bold>184</bold></td>
<td align="center"><bold>100.0</bold></td>
<td align="left"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>ED, erectile dysfunction; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The study showed that only 50 (27.2&#x0025;) had severe ED as shown in <xref ref-type="table" rid="T0003">Table 3</xref>.</p>
<table-wrap id="T0003">
<label>TABLE 3</label>
<caption><p>The degree of severity of erectile dysfunction amongst respondents.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Erectile dysfunction</th>
<th valign="top" align="center">Frequency (<italic>n</italic> = 184)</th>
<th valign="top" align="center">Percentage</th>
<th valign="top" align="center">95&#x0025; CI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Severe ED</td>
<td align="center">50</td>
<td align="center">27.2</td>
<td align="center">21.3&#x0025; &#x2013; 34.0&#x0025;</td>
</tr>
<tr>
<td align="left">Moderate ED</td>
<td align="center">33</td>
<td align="center">17.9</td>
<td align="center">13.1&#x0025; &#x2013; 24.1&#x0025;</td>
</tr>
<tr>
<td align="left">Mild to moderate ED</td>
<td align="center">37</td>
<td align="center">20.1</td>
<td align="center">15.0&#x0025; &#x2013; 26.5&#x0025;</td>
</tr>
<tr>
<td align="left">Mild</td>
<td align="center">22</td>
<td align="center">12.0</td>
<td align="center">8.0&#x0025; &#x2013; 17.4&#x0025;</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">42</td>
<td align="center">22.8</td>
<td align="center">17.4&#x0025; &#x2013; 29.4&#x0025;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>ED, erectile dysfunction; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Across the different classes of antihypertensive drugs, only diuretics and calcium channel blockers had a statistically significant association with ED (<italic>p</italic> &#x003C; 0.001 and <italic>p</italic> = 0.037, respectively), as seen in <xref ref-type="table" rid="T0004">Table 4</xref>.</p>
<table-wrap id="T0004">
<label>TABLE 4</label>
<caption><p>Association between erectile dysfunction and different classes of antihypertensive drugs.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Erectile dysfunction</th>
<th valign="top" align="center" colspan="6">Different hypertensive medications<hr/></th>
</tr>
<tr>
<th valign="top" align="center" colspan="2">Yes<hr/></th>
<th valign="top" align="center" colspan="2">No<hr/></th>
<th valign="top" align="center" rowspan="2">&#x03C7;&#x00B2;</th>
<th valign="top" align="center" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="7"><bold>ACE inhibitors</bold></td>
</tr>
<tr>
<td align="left">Severe</td>
<td align="center">14</td>
<td align="center">28.0</td>
<td align="center">36</td>
<td align="center">72.0</td>
<td align="center" rowspan="5">7.852</td>
<td align="center" rowspan="5">0.097</td>
</tr>
<tr>
<td align="left">Moderate</td>
<td align="center">10</td>
<td align="center">30.3</td>
<td align="center">23</td>
<td align="center">69.7</td>
</tr>
<tr>
<td align="left">Mild to moderate</td>
<td align="center">12</td>
<td align="center">32.4</td>
<td align="center">25</td>
<td align="center">67.6</td>
</tr>
<tr>
<td align="left">Mild</td>
<td align="center">4</td>
<td align="center">18.2</td>
<td align="center">18</td>
<td align="center">81.8</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">4</td>
<td align="center">9.5</td>
<td align="center">38</td>
<td align="center">90.5</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Calcium channel blockers</bold></td>
</tr>
<tr>
<td align="left">Severe</td>
<td align="center">18</td>
<td align="center">36.0</td>
<td align="center">32</td>
<td align="center">64.0</td>
<td align="center" rowspan="5">10.218</td>
<td align="center" rowspan="5">0.037<xref ref-type="table-fn" rid="TFN0001">&#x002A;</xref></td>
</tr>
<tr>
<td align="left">Moderate</td>
<td align="center">19</td>
<td align="center">57.6</td>
<td align="center">14</td>
<td align="center">42.4</td>
</tr>
<tr>
<td align="left">Mild to moderate</td>
<td align="center">20</td>
<td align="center">54.1</td>
<td align="center">17</td>
<td align="center">31.8</td>
</tr>
<tr>
<td align="left">Mild</td>
<td align="center">15</td>
<td align="center">68.2</td>
<td align="center">7</td>
<td align="center">31.8</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">28</td>
<td align="center">66.6</td>
<td align="center">14</td>
<td align="center">33.3</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Beta blockers</bold></td>
</tr>
<tr>
<td align="left">Severe</td>
<td align="center">3</td>
<td align="center">6.0</td>
<td align="center">47</td>
<td align="center">94.0</td>
<td align="center" rowspan="5">0.617</td>
<td align="center" rowspan="5">0.955</td>
</tr>
<tr>
<td align="left">Moderate</td>
<td align="center">2</td>
<td align="center">6.1</td>
<td align="center">31</td>
<td align="center">93.9</td>
</tr>
<tr>
<td align="left">Mild to moderate</td>
<td align="center">1</td>
<td align="center">2.7</td>
<td align="center">36</td>
<td align="center">97.3</td>
</tr>
<tr>
<td align="left">Mild</td>
<td align="center">1</td>
<td align="center">4.5</td>
<td align="center">21</td>
<td align="center">95.5</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">2</td>
<td align="center">4.8</td>
<td align="center">40</td>
<td align="center">95.2</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Diuretic</bold></td>
</tr>
<tr>
<td align="left">Severe</td>
<td align="center">33</td>
<td align="center">66.0</td>
<td align="center">17</td>
<td align="center">34.0</td>
<td align="center" rowspan="5">34.566</td>
<td align="center" rowspan="5">0.001<xref ref-type="table-fn" rid="TFN0001">&#x002A;</xref></td>
</tr>
<tr>
<td align="left">Moderate</td>
<td align="center">25</td>
<td align="center">75.8</td>
<td align="center">8</td>
<td align="center">24.2</td>
</tr>
<tr>
<td align="left">Mild to moderate</td>
<td align="center">24</td>
<td align="center">64.9</td>
<td align="center">13</td>
<td align="center">35.1</td>
</tr>
<tr>
<td align="left">Mild</td>
<td align="center">12</td>
<td align="center">54.5</td>
<td align="center">10</td>
<td align="center">45.5</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">7</td>
<td align="center">16.7</td>
<td align="center">35</td>
<td align="center">83.3</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>ARBs</bold></td>
</tr>
<tr>
<td align="left">Severe</td>
<td align="center">9</td>
<td align="center">18.0</td>
<td align="center">41</td>
<td align="center">82.0</td>
<td align="center" rowspan="5">1.239</td>
<td align="center" rowspan="5">0.872</td>
</tr>
<tr>
<td align="left">Moderate</td>
<td align="center">7</td>
<td align="center">21.2</td>
<td align="center">26</td>
<td align="center">78.8</td>
</tr>
<tr>
<td align="left">Mild to moderate</td>
<td align="center">8</td>
<td align="center">21.6</td>
<td align="center">29</td>
<td align="center">78.4</td>
</tr>
<tr>
<td align="left">Mild</td>
<td align="center">3</td>
<td align="center">13.6</td>
<td align="center">19</td>
<td align="center">86.4</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">6</td>
<td align="center">14.3</td>
<td align="center">36</td>
<td align="center">85.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>ACE, angiotensin-converting enzyme.</p></fn>
<fn id="TFN0001"><label>&#x002A;</label><p>, Statistically significant.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The modifiable risk factors of alcohol consumption and cigarette smoking were not associated with ED, as a greater proportion of respondents who had ED did not consume alcohol (<italic>p</italic> = 0.912). Also, a greater proportion of respondents who suffered from different grades of severity of ED did not smoke cigarettes; however, this association was not statistically significant (<italic>p</italic> = 0.854). The grades of severity of ED increased with increasing body mass index (BMI); however, the association between ED and BMI was not statistically significant (<italic>p</italic> = 0.331). See <xref ref-type="table" rid="T0005">Table 5</xref> and <xref ref-type="table" rid="T0006">6</xref>.</p>
<table-wrap id="T0005">
<label>TABLE 5</label>
<caption><p>Association between erectile dysfunction and modifiable risk factors.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Erectile dysfunction</th>
<th valign="top" align="center" colspan="6">Modifiable risk factors (<italic>n</italic> = 184)<hr/></th>
</tr>
<tr>
<th valign="top" align="center" colspan="2">Yes<hr/></th>
<th valign="top" align="center" colspan="2">No<hr/></th>
<th valign="top" align="center" rowspan="2">&#x03C7;&#x00B2;</th>
<th valign="top" align="center" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="7"><bold>Alcohol</bold></td>
</tr>
<tr>
<td align="left">Severe</td>
<td align="center">20</td>
<td align="center">40.0</td>
<td align="center">30</td>
<td align="center">60.0</td>
<td align="center" rowspan="5">0.991</td>
<td align="center" rowspan="5">0.912</td>
</tr>
<tr>
<td align="left">Moderate</td>
<td align="center">12</td>
<td align="center">36.4</td>
<td align="center">21</td>
<td align="center">63.6</td>
</tr>
<tr>
<td align="left">Mild to moderate</td>
<td align="center">12</td>
<td align="center">32.4</td>
<td align="center">25</td>
<td align="center">68.6</td>
</tr>
<tr>
<td align="left">Mild</td>
<td align="center">7</td>
<td align="center">31.8</td>
<td align="center">15</td>
<td align="center">68.2</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">29</td>
<td align="center">69.0</td>
<td align="center">13</td>
<td align="center">31.0</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Cigarette usage</bold></td>
</tr>
<tr>
<td align="left">Severe</td>
<td align="center">20</td>
<td align="center">40.0</td>
<td align="center">30</td>
<td align="center">60.0</td>
<td align="center" rowspan="5">1.377</td>
<td align="center" rowspan="5">0.854</td>
</tr>
<tr>
<td align="left">Moderate</td>
<td align="center">17</td>
<td align="center">51.5</td>
<td align="center">16</td>
<td align="center">48.5</td>
</tr>
<tr>
<td align="left">Mild to moderate</td>
<td align="center">15</td>
<td align="center">40.5</td>
<td align="center">22</td>
<td align="center">59.5</td>
</tr>
<tr>
<td align="left">Mild</td>
<td align="center">10</td>
<td align="center">45.5</td>
<td align="center">12</td>
<td align="center">54.5</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">17</td>
<td align="center">40.5</td>
<td align="center">25</td>
<td align="center">59.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: For a year increase in the age of the respondents, the likelihood of having erectile dysfunction increases by the odds ratio of 0.888. This was statistically significant (<italic>p</italic> = 0.004, 95&#x0025; confidence interval = 0.820 &#x2013; 0.963).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T0006">
<label>TABLE 6</label>
<caption><p>Association between erectile dysfunction and modifiable risk factors.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Weight</th>
<th valign="top" align="center" colspan="8">Body mass index<hr/></th>
</tr>
<tr>
<th valign="top" align="center" colspan="2">Underweight<hr/></th>
<th valign="top" align="center" colspan="2">Normal weight<hr/></th>
<th valign="top" align="center" colspan="2">Overweight<hr/></th>
<th valign="top" align="center" colspan="2">Obesity<hr/></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Severe</td>
<td align="center">1</td>
<td align="center">2.0</td>
<td align="center">12</td>
<td align="center">24.0</td>
<td align="center">16</td>
<td align="center">32.0</td>
<td align="center">21</td>
<td align="center">42.0</td>
</tr>
<tr>
<td align="left">Moderate</td>
<td align="center">1</td>
<td align="center">3.0</td>
<td align="center">9</td>
<td align="center">27.3</td>
<td align="center">11</td>
<td align="center">33.3</td>
<td align="center">12</td>
<td align="center">36.4</td>
</tr>
<tr>
<td align="left">Mild to moderate</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">11</td>
<td align="center">29.7</td>
<td align="center">10</td>
<td align="center">27.0</td>
<td align="center">16</td>
<td align="center">43.3</td>
</tr>
<tr>
<td align="left">Mild</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">7</td>
<td align="center">31.8</td>
<td align="center">10</td>
<td align="center">45.5</td>
<td align="center">5</td>
<td align="center">22.7</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">1</td>
<td align="center">2.4</td>
<td align="center">7</td>
<td align="center">16.7</td>
<td align="center">24</td>
<td align="center">57.1</td>
<td align="center">10</td>
<td align="center">23.8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: &#x03C7;&#x00B2; = 13.544, <italic>p</italic> = 0.331. For a year increase in the age of the respondents, the likelihood of having erectile dysfunction increases by the odds ratio of 0.888. This was statistically significant (<italic>p</italic> = 0.004, 95&#x0025; confidence interval = 0.820&#x2013;0.963)</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Respondents with formal secondary education had ED more than those with no formal education. This was more likely to occur by the odds ratio of 15.943. This was statistically significant (<italic>p</italic> = 0.021, 95&#x0025; confidence interval [CI] = 1.517&#x2013;167.502).</p>
<p>The likelihood of having ED increased by the odds ratio of 0.105 amongst respondents who used diuretics compared to those who did not use. This was statistically significant (<italic>p</italic> = 0.001, 95&#x0025; CI = 0.028&#x2013;0.389). Having controlled for all other predictors, the antihypertensive calcium channel blockers with an odds ratio of 1.193 were not statistically significant (<italic>p</italic> = 0.772, 95&#x0025; CI = 0.362&#x2013;3.928) as seen in <xref ref-type="table" rid="T0007">Table 7</xref>.</p>
<table-wrap id="T0007">
<label>TABLE 7</label>
<caption><p>Determinants of erectile dysfunction amongst the respondents.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Predictors</th>
<th valign="top" align="center" rowspan="2"><italic>p</italic></th>
<th valign="top" align="center" rowspan="2">Odds ratio</th>
<th valign="top" align="center" colspan="2">95&#x0025; CI for odds ratio<hr/></th>
</tr>
<tr>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Age of respondent (years)</bold></td>
<td align="center">0.004</td>
<td align="center">0.888</td>
<td align="center">0.820</td>
<td align="center">0.963</td>
</tr>
<tr>
<td align="left" colspan="5"><bold>Level of education</bold></td>
</tr>
<tr>
<td align="left">Nonformal</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Secondary</td>
<td align="center">0.021</td>
<td align="center">15.943</td>
<td align="center">1.517</td>
<td align="center">167.502</td>
</tr>
<tr>
<td align="left">Postsecondary</td>
<td align="center">0.201</td>
<td align="center">3.028</td>
<td align="center">0.555</td>
<td align="center">16.551</td>
</tr>
<tr>
<td align="left">University</td>
<td align="center">0.558</td>
<td align="center">0.668</td>
<td align="center">0.173</td>
<td align="center">2.578</td>
</tr>
<tr>
<td align="left">Marital status</td>
<td align="center">0.079</td>
<td align="center">0.215</td>
<td align="center">0.054</td>
<td align="center">1.175</td>
</tr>
<tr>
<td align="left" colspan="5"><bold>Duration of hypertension (years)</bold></td>
</tr>
<tr>
<td align="left">&#x003C; 1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">1&#x2013;5</td>
<td align="center">0.408</td>
<td align="center">3.480</td>
<td align="center">0.182</td>
<td align="center">66.686</td>
</tr>
<tr>
<td align="left">6&#x2013;10</td>
<td align="center">0.503</td>
<td align="center">2.582</td>
<td align="center">0.161</td>
<td align="center">41.424</td>
</tr>
<tr>
<td align="left">&#x003E; 10</td>
<td align="center">0.452</td>
<td align="center">3.267</td>
<td align="center">0.149</td>
<td align="center">71.654</td>
</tr>
<tr>
<td align="left">Diuretics</td>
<td align="center">0.001</td>
<td align="center">0.105</td>
<td align="center">0.028</td>
<td align="center">0.389</td>
</tr>
<tr>
<td align="left">Calcium channel blockers</td>
<td align="center">0.772</td>
<td align="center">1.193</td>
<td align="center">0.362</td>
<td align="center">3.928</td>
</tr>
<tr>
<td align="left">Stroke</td>
<td align="center">0.998</td>
<td align="center">0.000</td>
<td align="center">0.000</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="left">Angina pectoris</td>
<td align="center">0.559</td>
<td align="center">2.246</td>
<td align="center">0.110</td>
<td align="center">45.686</td>
</tr>
<tr>
<td align="left">Heart failure</td>
<td align="center">0.096</td>
<td align="center">0.112</td>
<td align="center">0.008</td>
<td align="center">1.476</td>
</tr>
<tr>
<td align="left">Cataracts</td>
<td align="center">0.889</td>
<td align="center">0.806</td>
<td align="center">0.040</td>
<td align="center">16.367</td>
</tr>
<tr>
<td align="left">Depression</td>
<td align="center">0.106</td>
<td align="center">0.145</td>
<td align="center">0.014</td>
<td align="center">1.507</td>
</tr>
<tr>
<td align="left">Visual impairment</td>
<td align="center">0.106</td>
<td align="center">0.292</td>
<td align="center">0.066</td>
<td align="center">1.300</td>
</tr>
<tr>
<td align="left">LUTS</td>
<td align="center">0.997</td>
<td align="center">0.000</td>
<td align="center">0.000</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Peripheral neuropathy</td>
<td align="center">0.192</td>
<td align="center">0.332</td>
<td align="center">0.063</td>
<td align="center">1.743</td>
</tr>
<tr>
<td align="left">Constant</td>
<td align="center">0.042</td>
<td align="center">236.717</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>CI, confidence interval; LUTS, lower urinary tract symptoms</p></fn>
</table-wrap-foot>
</table-wrap>
<p>For a year increase in the age of the respondents, the likelihood of having ED increased by the odds ratio of 0.888. This was statistically significant (<italic>p</italic> = 0.004, 95&#x0025; CI = 0.820&#x2013;0.963).</p>
<p>Respondents with formal secondary education had ED more than those with no formal education. This was more likely to occur by the odds ratio of 15.943. This was statistically significant (<italic>p</italic> = 0.021, 95&#x0025; CI = 1.517&#x2013;167.502).</p>
</sec>
<sec id="s0010">
<title>Discussion</title>
<p>In this study, a greater proportion of the respondents were in the age group of 40&#x2013;49 years; this may be explained by the fact that these age groups constituted the economically productive age group who might be able to afford the cost of health care. This finding of the economically productive age group being more ready to access health care was similar to the findings from a study carried out in 2002 by Valdivia in Peru to assess the magnitude and nature of socio-economic differences in the utilisation of outpatient health care services, which showed that utilisation amongst those who reported illness had a clear trend in favour of the wealthier.<sup><xref ref-type="bibr" rid="CIT0010">10</xref></sup> Also, another study in Mexico by Leyva-Flores et al. showed that economic barriers were the most frequent reasons for not using primary health care services.<sup><xref ref-type="bibr" rid="CIT0011">11</xref></sup></p>
<p>Three-quarters of the respondents were married; this was not surprising, as the mean age observed in the study was 55 &#x00B1; 12 years. Most men would be expected to have been married at this age. This finding is similar to the finding in a study conducted by Idung et al. in the Niger Delta region of Nigeria on the prevalence and risk factors for ED. They found that ED increases with age and is more common amongst married and educated men.<sup><xref ref-type="bibr" rid="CIT0009">9</xref></sup> Over three-quarters, 147 (79.9&#x0025;), of respondents were married in monogamous settings. This was probably so because the study was conducted at FMC, Asaba, which is in the South-South region of Nigeria where the major religion is Christianity.<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> With most patients using the facility being Christians, it is expected that they are married to one wife in a monogamous setting.</p>
<p>Over one-third of the respondents were government employed. This is probably so because a greater proportion, 141 (76.6&#x0025;), of the respondents had a secondary level of education and above, and the government of Nigeria is the highest employer of labour.<sup><xref ref-type="bibr" rid="CIT0013">13</xref></sup> This could possibly be the reason they could access health care on time; being economically productive and educated, they were able to feel free to discuss their problems with their doctors. Previous studies such as Willems et al., Cutler and Lieras-Muney have shown that patients from higher levels of education communicate more actively with their doctors.<sup><xref ref-type="bibr" rid="CIT0014">14</xref>,<xref ref-type="bibr" rid="CIT0015">15</xref></sup> Willems et al. in 2005 concluded that communication is influenced in part by patients&#x2019; communication abilities and style, which depend largely on education.<sup><xref ref-type="bibr" rid="CIT0014">14</xref></sup> Similarly, Cutler and Lieras-Muney reported that an increase in cognitive ability resulting from education contributes significantly to the education gradient in health behaviours.<sup><xref ref-type="bibr" rid="CIT0015">15</xref></sup></p>
<p>The prevalence of ED amongst the respondents was found to be 77.2&#x0025; (<italic>n</italic> = 142). The observed prevalence was higher than the rates of between 43.8&#x0025; and 57.4&#x0025; reported in previous studies in Nigeria.<sup><xref ref-type="bibr" rid="CIT0016">16</xref>,<xref ref-type="bibr" rid="CIT0017">17</xref>,<xref ref-type="bibr" rid="CIT0018">18</xref></sup> The increase in the prevalence rate discovered in this study could be explained by the fact that with increasing modernisation and awareness of the availability of treatment options for ED, more people are now bold enough to do away with stigmatisation and acknowledge their problem to their health care providers, and they are even more willing to participate in any research relating to ED, as was observed by the 100.0&#x0025; response rate in this current study. The prevalence from this current study is similar to that observed in other studies such as Omisanjo et al., Burchaidt et al. and Giuliano et al.<sup><xref ref-type="bibr" rid="CIT0019">19</xref>,<xref ref-type="bibr" rid="CIT0020">20</xref>,<xref ref-type="bibr" rid="CIT0021">21</xref></sup> These findings were similar despite very different cultures, research instruments and methodologies. This clearly shows that ED is a worldwide problem.</p>
<p>In consideration of the association between age and degree of ED, this study showed that age was protective. This may be because of the fact that most of the participants were middle-aged. This was not supported by the result of the study carried out by Fatusi et al., which showed a significant relationship between age and ED.<sup><xref ref-type="bibr" rid="CIT0017">17</xref></sup> In a study by Shaeer et al. in 2003, they found that both severity and prevalence increased consistently with age, although their distribution differed across countries.<sup><xref ref-type="bibr" rid="CIT0022">22</xref></sup> Their study seemed to agree with the 2008 finding of Derogates et al. that the occurrence of sexual dysfunction is directly proportional to age in both sexes.<sup><xref ref-type="bibr" rid="CIT0023">23</xref></sup></p>
<p>In this study, the prevalence of ED was higher in patients with longer duration of hypertension, as well as with increasing years of being hypertensive. This was similar to other studies addressing this issue in hypertensive patients; they reported that ED is more frequent and severe in patients with long-standing hypertension (&#x003E; 5&#x2013;6 years) compared with recent onset of hypertension.<sup><xref ref-type="bibr" rid="CIT0022">22</xref>,<xref ref-type="bibr" rid="CIT0023">23</xref>,<xref ref-type="bibr" rid="CIT0024">24</xref>,<xref ref-type="bibr" rid="CIT0025">25</xref>,<xref ref-type="bibr" rid="CIT0026">26</xref></sup> Hence, appropriate counselling must be given to patients during the early stages of diagnosis of hypertension.</p>
<p>The present study showed that modifiable risk factors, which include history of cigarette smoking, drinking alcohol and BMI, were not significantly associated with ED. A greater proportion of respondents who had ED did not consume alcohol; also, a greater proportion of respondents who suffered from the different grades of ED did not smoke cigarettes. Although the grades of severity of ED increased with increasing BMI, the association was not statistically significant (<italic>p</italic> = 0.807). The finding in the current study differs from observations in previous studies, in which ED was found to be significantly associated with cigarette smoking and alcohol consumption.<sup><xref ref-type="bibr" rid="CIT0027">27</xref>,<xref ref-type="bibr" rid="CIT0028">28</xref></sup> There are different opinions from studies on the association between obesity and ED. Whilst some studies reported no significant association,<sup><xref ref-type="bibr" rid="CIT0029">29</xref></sup> others demonstrated obesity as an independent risk factor for ED.<sup><xref ref-type="bibr" rid="CIT0028">28</xref>,<xref ref-type="bibr" rid="CIT0029">29</xref>,<xref ref-type="bibr" rid="CIT0030">30</xref>,<xref ref-type="bibr" rid="CIT0031">31</xref>,<xref ref-type="bibr" rid="CIT0032">32</xref>,<xref ref-type="bibr" rid="CIT0033">33</xref>,<xref ref-type="bibr" rid="CIT0034">34</xref>,<xref ref-type="bibr" rid="CIT0035">35</xref></sup> Still others suggest that obesity in itself does not seem to be an underlying factor but imposes a risk to vasculogenic ED by developing chronic vascular disease.<sup><xref ref-type="bibr" rid="CIT0036">36</xref></sup></p>
<p>The finding in this current study showed that across the classes of antihypertensive medications, diuretics showed significant association, as a greater proportion of those on it had severe and moderate ED, which was statistically significant (<italic>p</italic> &#x003C; 0.001; 95&#x0025; CI = 0.028&#x2013;0.389). Significantly increased association of ED with the use of diuretics could be because of the fact that those patients were on diuretics for a long time, as in our setting, diuretics are the first-line antihypertensive drugs. A similar study by Okeahialam and Obeka noted that hypertensive patients on thiazide tend to have more ED than the untreated, newly diagnosed group.<sup><xref ref-type="bibr" rid="CIT0024">24</xref></sup> There was also a significant association between ED and the calcium channel blockers in this study.</p>
<p>Regarding the association between ED and other comorbidities, the present study showed that comorbid medical conditions such as diabetes mellitus, history of stroke, angina pectoris, heart failure, peripheral neuropathy, past surgery and cataracts (which were highly significantly associated with ED on bivariate analysis) were not statistically significant on multivariate logistic regression as seen in <xref ref-type="table" rid="T0007">Table 7</xref>. A greater proportion, 14 (28&#x0025;), of the respondents with severe ED had stroke. There is a direct relationship between the severity of ED and incidents of stroke. These findings were similar to the findings from studies done by Khatib et al., who found that patients with history of stroke and presence of peripheral neuropathy were associated with ED.<sup><xref ref-type="bibr" rid="CIT0037">37</xref></sup> Abdulbari et al. also found an association between history of stroke and other associated comorbidities with ED.<sup><xref ref-type="bibr" rid="CIT0038">38</xref></sup> The reason could be because ED is a vascular problem.<sup><xref ref-type="bibr" rid="CIT0039">39</xref></sup></p>
<p>A greater proportion, 26 (52.0&#x0025;), of respondents with severe ED had heart failure compared to the other grades of severity of ED; therefore, with increasing grades of ED, there was increase in heart failure. This was similar to the recent studies done by Baraghoush et al. and Alberti et al., in which they found that there was a link between ED and heart failure.<sup><xref ref-type="bibr" rid="CIT0040">40</xref>,<xref ref-type="bibr" rid="CIT0041">41</xref></sup> It could be because they shared similar risk factors and common pathogenic traits. As a result, proper medical check-up and follow-up should be done for the elderly hypertensive males with risk of having heart failure, so as to reduce complications and improve their quality of life.</p>
<p>Over half, 28 (56.0&#x0025;), of the respondents with severe ED had lower urinary tract symptoms (LUTS) compared with the other proportions of respondents with LUTS in the other grades of ED. This was similar to several studies that highlighted the association between ED and other medical conditions such as LUTS.<sup><xref ref-type="bibr" rid="CIT0042">42</xref>,<xref ref-type="bibr" rid="CIT0043">43</xref></sup></p>
<p>Medical conditions such as myocardial infarction, depression and past surgery were not statistically significant. This may be due to the fact that the number of respondents with these medical conditions who participated in the study was low. This finding was not concordant with the findings from other studies.<sup><xref ref-type="bibr" rid="CIT0029">29</xref>,<xref ref-type="bibr" rid="CIT0044">44</xref>,<xref ref-type="bibr" rid="CIT0045">45</xref></sup></p>
</sec>
<sec id="s0011">
<title>Limitations</title>
<p>Erectile dysfunction is regarded as a couple&#x2019;s disorder. However, the interview in this study focused only on the male partner. Therefore, the female partners&#x2019; perceptions and the degree of affectation of the family dynamics cannot be fully ascertained in this study.</p>
</sec>
<sec id="s0012">
<title>Conclusion</title>
<p>The present study showed that formal education up to the secondary level and use of diuretics are significant predictors of ED amongst hypertensive men attending the OPC at FMC.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors acknowledge Dr Ben Ezemenahi, Dr E.C. Uzundu and Dr Nwaneli for their positive critique and contributions during the conduct of this research.</p>
<sec id="s20013" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.</p>
</sec>
<sec id="s20014">
<title>Authors&#x2019; contributions</title>
<p>O.O. was responsible for the experimental and project design and participated in the protocol writing, data analysis, manuscript writing and review. S.I.E. performed the experiment and participated in protocol writing and review of the manuscript. A.Q.A. participated in the data analysis, protocol writing and review of the manuscript. A.N.A. and B.A.O. were involved in the protocol writing and review of the manuscript.</p>
</sec>
<sec id="s20015">
<title>Funding information</title>
<p>This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.</p>
</sec>
<sec id="s20016">
<title>Data availability</title>
<p>The authors confirm that the data supporting the findings of this study are available within the article.</p>
</sec>
<sec id="s20017">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of any affiliated agency of the authors.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Ogunfowokan O, Ezemenahi SI, Alabi AN, Aigbokhaode AQ, Ogunfowokan BA. Erectile dysfunction predictors in hypertensives at a primary care clinic in Southern Nigeria. Afr J Prm Health Care Fam Med. 2022;14(1), a3244. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/phcfm.v14i1.3244">https://doi.org/10.4102/phcfm.v14i1.3244</ext-link></p></fn>
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