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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2025.1621750</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A cross-sectional study of risk factors associated with hypertension in heart and kidney disease patients in Sana&#x0027;a, Yemen</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Muafa</surname><given-names>Hussein Mussa</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2292669/overview"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Balkam</surname><given-names>Malika Abdu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Internal Medicine, 21 September University for Medical and Applied Sciences</institution>, <addr-line>Sana&#x0027;a</addr-line>, <country>Yemen</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Internal Medicine, Ibn Mussa International Hospital</institution>, <addr-line>Al Hodaidah</addr-line>, <country>Yemen</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of Medicine, College of Medicine and Health Sciences, Sana&#x2019;a University</institution>, <addr-line>Sana&#x0027;a</addr-line>, <country>Yemen</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1390829/overview">Chengxing Shen</ext-link>, Shanghai Jiao Tong University, China</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/472283/overview">Yaman Walid Kassab</ext-link>, National University of Science and Technology (Muscat), Oman</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1181150/overview">Radhwan Hussein</ext-link>, Ninevah University, Iraq</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Hussein Mussa Muafa <email>h.m.muafa@21umas.edu.ye</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>24</day><month>10</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>12</volume><elocation-id>1621750</elocation-id>
<history>
<date date-type="received"><day>01</day><month>05</month><year>2025</year></date>
<date date-type="accepted"><day>07</day><month>10</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Muafa and Balkam.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Muafa and Balkam</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Hypertension is a major contributor to cardiovascular and renal disease worldwide, particularly in low-resource settings such as Yemen.</p>
</sec><sec><title>Objective</title>
<p>To identify demographic, clinical, and lifestyle-related factors associated with hypertension among heart disease (HD) and kidney disease (KD) patients in Sana&#x0027;a.</p>
</sec><sec><title>Methods</title>
<p>A cross-sectional study was conducted on 300 patients (200 men, 100 women; aged 35&#x2013;70 years) between March and August 2024. Data on age, sex, weight, smoking, Qat chewing, diabetes, and antihypertensive medication adherence were collected. Blood pressure was measured using a standardized sphygmomanometer. Logistic regression was used to calculate odds ratios (ORs) and 95&#x0025; confidence intervals (CIs).</p>
</sec><sec><title>Results</title>
<p>Hypertension was significantly associated with age (OR: 1.08; 95&#x0025; CI: 1.02&#x2013;1.11), obesity (OR: 2.42; 95&#x0025; CI: 1.23&#x2013;4.75), smoking (OR: 1.88; 95&#x0025; CI: 1.05&#x2013;3.35), type 2 diabetes (OR: 2.87; 95&#x0025; CI: 1.56&#x2013;4.55), and irregular medication use (OR: 3.21; 95&#x0025; CI: 1.45&#x2013;7.11). All participants reported Qat chewing (100&#x0025;).</p>
</sec><sec><title>Conclusion</title>
<p>Age, obesity, smoking, diabetes, and poor medication adherence are major predictors of hypertension in Yemeni HD and KD patients. The universal irregularity in medication use highlights systemic healthcare gaps. Strategies to improve adherence, promote lifestyle modification, and strengthen healthcare systems are urgently needed.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hypertension</kwd>
<kwd>heart disease</kwd>
<kwd>kidney disease</kwd>
<kwd>risk factors</kwd>
<kwd>Yemen</kwd>
<kwd>Qat</kwd>
<kwd>smoking</kwd>
<kwd>medication adherence</kwd>
</kwd-group><counts>
<fig-count count="0"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="12"/><page-count count="3"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Hypertension</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Hypertension is one of the most significant risk factors for cardiovascular and renal diseases. In LMICs, including Yemen, limited healthcare infrastructure exacerbates the burden of hypertension. The disease accelerates progression to myocardial infarction, stroke, and end-stage kidney failure, particularly in individuals already suffering from HD or KD (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Regional studies have identified obesity, smoking, diabetes, and poor adherence to therapy as key drivers of hypertension (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). In Yemen, widespread Qat chewing further complicates the risk profile, though its precise contribution remains unclear (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>This study investigates demographic, clinical, and behavioral risk factors for hypertension among Yemeni HD and KD patients (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>), aiming to inform culturally appropriate prevention and management strategies (<xref ref-type="bibr" rid="B6">6</xref>).</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Methods</title>
<sec id="s2a"><label>2.1</label><title>Study design and setting</title>
<p>A cross-sectional study was carried out in hospitals and outpatient clinics in Sana&#x0027;a, Yemen, between March and August 2024.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Study population</title>
<p>300 patients with HD, KD, or both were recruited via convenience sampling.</p>
<p><bold>Inclusion criteria:</bold>
<list list-type="simple">
<list-item><label>&#x2022;</label>
<p>Age 35&#x2013;70 years</p></list-item>
<list-item><label>&#x2022;</label>
<p>Diagnosed with HD or KD</p></list-item>
<list-item><label>&#x2022;</label>
<p>Provided informed consent</p></list-item>
</list></p>
</sec>
<sec id="s2c"><label>2.3</label><title>Data collection</title>
<p>Structured interviews and medical records were used.
<list list-type="simple">
<list-item><label>&#x2022;</label>
<p><bold>Demographics:</bold> age, sex, marital status</p></list-item>
<list-item><label>&#x2022;</label>
<p><bold>Clinical data:</bold> weight, diabetes, blood pressure</p></list-item>
<list-item><label>&#x2022;</label>
<p><bold>Lifestyle:</bold> smoking, Qat chewing</p></list-item>
<list-item><label>&#x2022;</label>
<p><bold>Medication adherence:</bold> self-reported regular vs. irregular</p></list-item>
</list><bold>Blood pressure measurement:</bold> Conducted with a calibrated sphygmomanometer, two readings averaged after 5&#x2005;min rest. Hypertension defined as &#x2265;130/80&#x2005;mmHg (ACC/AHA 2017).</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Statistical analysis</title>
<p>SPSS v25 was used. Logistic regression assessed associations between risk factors and hypertension. Significance: <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<sec id="s3a"><label>3.1</label><title>Baseline characteristics</title>
<p><xref ref-type="table" rid="T1">Table&#x00A0;1</xref>.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Baseline characteristics of participants (<italic>N</italic>&#x2009;&#x003D;&#x2009;300).</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Frequency (<italic>n</italic>)</th>
<th valign="top" align="center">Percentage (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (35&#x2013;70 years)</td>
<td valign="top" align="center">300</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">66.7</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">33.3</td>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">300</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Weight 70&#x2013;90&#x2005;kg</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">83.3</td>
</tr>
<tr>
<td valign="top" align="left">Weight 90&#x2013;120&#x2005;kg (Obese)</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">16.7</td>
</tr>
<tr>
<td valign="top" align="left">Qat chewing</td>
<td valign="top" align="center">300</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">83.3</td>
</tr>
<tr>
<td valign="top" align="left">Type 2 diabetes mellitus</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">50.0</td>
</tr>
<tr>
<td valign="top" align="left">Irregular antihypertensive use</td>
<td valign="top" align="center">300</td>
<td valign="top" align="center">100.0</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3b"><label>3.2</label><title>Logistic regression analysis</title>
<p><xref ref-type="table" rid="T2">Table&#x00A0;2</xref>.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Logistic regression analysis of risk factors for hypertension.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Risk factor</th>
<th valign="top" align="center">Odds ratio (OR)</th>
<th valign="top" align="center">95&#x0025; CI</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Male gender</td>
<td valign="top" align="center">1.35</td>
<td valign="top" align="center">0.92&#x2013;1.99</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">Age (per year increase)</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">1.02&#x2013;1.11</td>
<td valign="top" align="center">0.004<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Obesity (90&#x2013;120&#x2005;kg)</td>
<td valign="top" align="center">2.42</td>
<td valign="top" align="center">1.23&#x2013;4.75</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">1.88</td>
<td valign="top" align="center">1.05&#x2013;3.35</td>
<td valign="top" align="center">0.03<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Type 2 diabetes mellitus</td>
<td valign="top" align="center">2.87</td>
<td valign="top" align="center">1.56&#x2013;4.55</td>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Irregular medication use</td>
<td valign="top" align="center">3.21</td>
<td valign="top" align="center">1.45&#x2013;7.11</td>
<td valign="top" align="center">0.004<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><label>&#x002A;</label>
<p>Significant at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>This study demonstrated that age, obesity, smoking, diabetes, and irregular antihypertensive drug use were significant predictors of hypertension (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). The 100&#x0025; prevalence of irregular drug adherence reflects systemic issues in the Yemeni healthcare system (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>).</p>
<p><bold>Key findings:</bold>
<list list-type="simple">
<list-item><label>&#x2022;</label>
<p><bold>Age:</bold> Vascular stiffening and cumulative exposure to risk factors explain the increased risk.</p></list-item>
<list-item><label>&#x2022;</label>
<p><bold>Obesity:</bold> Strong predictor of hypertension via increased cardiac output and vascular resistance.</p></list-item>
<list-item><label>&#x2022;</label>
<p><bold>Smoking:</bold> Nicotine contributes to endothelial dysfunction and sympathetic activation.</p></list-item>
<list-item><label>&#x2022;</label>
<p><bold>Diabetes:</bold> Insulin resistance and arterial stiffness exacerbate BP rise.</p></list-item>
<list-item><label>&#x2022;</label>
<p><bold>Medication adherence:</bold> The strongest predictor, highlighting systemic deficiencies (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>).</p></list-item>
</list><bold>Qat chewing:</bold> Could not be analyzed statistically due to uniform exposure but remains a critical cultural factor requiring future comparative studies.</p>
<p><bold>Strengths:</bold> First study in Yemen on this specific patient population; robust statistical analysis.</p>
<p><bold>Limitations:</bold> Cross-sectional design; convenience sampling; lack of control group; inability to analyze Qat chewing due to uniformity.</p>
<p><bold>Implications:</bold>
<list list-type="simple">
<list-item><label>&#x2022;</label>
<p>Improve medication access and adherence programs (<xref ref-type="bibr" rid="B10">10</xref>).</p></list-item>
<list-item><label>&#x2022;</label>
<p>Strengthen public education on lifestyle modification.</p></list-item>
<list-item><label>&#x2022;</label>
<p>Develop system-level policies for better hypertension management.</p></list-item>
</list></p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>Hypertension among Yemeni HD and KD patients is significantly associated with age, obesity, smoking, diabetes, and poor medication adherence (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Addressing these factors through systemic reforms and culturally tailored interventions is essential to reduce the growing cardiovascular and renal burden in Yemen.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Ibn Mussa International Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>HM: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MB: Conceptualization, Data curation, Analysis, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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