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<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2024.1482061</article-id>
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<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Self-care practices and associated factors among hypertensive patients at public hospitals in North Shewa zone, Ethiopia</article-title>
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<contrib-group>
<contrib contrib-type="author">
<name><surname>Kebede</surname> <given-names>Hailemelekot Bekele</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Yosef</surname> <given-names>Tewodros</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Bilchut</surname> <given-names>Awraris Hailu</given-names></name>
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<contrib contrib-type="author">
<name><surname>Workie</surname> <given-names>Sewnet Getaye</given-names></name>
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<name><surname>Shifera</surname> <given-names>Nigusie</given-names></name>
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<contrib contrib-type="author">
<name><surname>Mezgebu</surname> <given-names>Alemnew Destaw</given-names></name>
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<aff id="aff1"><sup>1</sup><institution>School of Public Health, Asrat Woldeyes Health Science Campus, Debre Berhan University</institution>, <addr-line>Debre Berhan</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Public Health, College of Medicine and Health Sciences, Mizan-Tepi University</institution>, <addr-line>Mizan-Teferi</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Medicine, Faculty of Health, Deakin University, Waurn Ponds</institution>, <addr-line>Geelong, VIC</addr-line>, <country>Australia</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Humberto Muzi-Filho, Federal University of Rio de Janeiro, Brazil</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Dayene Gomes, Federal University of Rio de Janeiro, Brazil</p>
<p>Mayara Amorim Romanelli, Federal University of Rio de Janeiro, Brazil</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Tewodros Yosef, <email>tewodrosyosef47@mtu.edu.et</email></corresp>
<fn fn-type="other" id="fn0001">
<p><sup>&#x2020;</sup>ORCID: Tewodros Yosef, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-3173-6753">orcid.org/0000-0002-3173-6753</ext-link></p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>10</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1482061</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Kebede, Yosef, Bilchut, Workie, Shifera and Mezgebu.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Kebede, Yosef, Bilchut, Workie, Shifera and Mezgebu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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 id="sec1">
<title>Background</title>
<p>Hypertension significantly contributes to premature mortality worldwide, highlighting the need for effective self-care to manage its complications. However, there is limited research on self-care practices among hypertensive patients in Ethiopia. This study assessed self-care practices and associated factors in hypertensive patients at public hospitals in North Shewa zone, Amhara Region, Ethiopia.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A hospital-based cross-sectional study was conducted with 450 participants using multi-stage sampling and interviewer-administered questionnaires. Data were processed with Epi-Data 4.6.0.6 and analyzed using SPSS 23. Descriptive statistics summarized the results, while bivariable and multivariable logistic regression identified factors associated with self-care practices. Crude and adjusted odds ratios with 95% confidence intervals were calculated, with significance at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Out of 450 participants, 231 (51.3, 95% CI: 46.4&#x2013;55.6%) exhibited poor hypertension self-care practices. Factors associated with poor self-care included having a college-level education (AOR&#x2009;=&#x2009;0.27, 95% CI: 0.07&#x2013;0.95), university-level education (AOR&#x2009;=&#x2009;0.36, 95% CI: 0.13&#x2013;0.98), being widowed/widower (AOR&#x2009;=&#x2009;5.30, 95% CI: 1.05&#x2013;27.2), poor knowledge of hypertension (AOR&#x2009;=&#x2009;4.51, 95% CI: 2.44&#x2013;8.59), inadequate stress management (AOR&#x2009;=&#x2009;3.10, 95% CI: 1.64&#x2013;5.74), and first diagnosis during a check-up (AOR&#x2009;=&#x2009;7.72, 95% CI: 4.22&#x2013;13.8).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>This study highlights inadequate self-care among hypertensive individuals, affected by factors such as education, marital status, knowledge, stress management, and diagnostic practices. Personalized interventions focusing on health education, stress management, and proactive screening are essential for improving health outcomes. Additionally, psychological support enhances emotional well-being and self-care engagement in hypertension patients, leading to better health outcomes and quality of life.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hypertension</kwd>
<kwd>self-care practices</kwd>
<kwd>public hospitals</kwd>
<kwd>North Shewa</kwd>
<kwd>Ethiopia</kwd>
</kwd-group>
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<meta-name>section-at-acceptance</meta-name>
<meta-value>Family Medicine and Primary Care</meta-value>
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</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Hypertension, or elevated blood pressure, is a serious medical condition that raises the risk of heart, brain, kidney disease, and other diseases (<xref ref-type="bibr" rid="ref1">1</xref>). It is diagnosed when systolic blood pressure (SBP) is &#x2265;140&#x2009;mm Hg and/or diastolic blood pressure (DBP) is &#x2265;90&#x2009;mm Hg after several measurements (<xref ref-type="bibr" rid="ref2">2</xref>). Hypertension is the leading noncommunicable disease (NCD), affecting about 31.1% of adults globally (<xref ref-type="bibr" rid="ref1">1</xref>). It is present in 28.5% of cases in developed countries and 31.5% in developing regions, with low-and middle-income countries (LMICs) like Ethiopia facing a significant NCD burden (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>In sub-Saharan Africa, approximately 74.7 million people have hypertension, with the number expected to increase by 68% by 2025 (<xref ref-type="bibr" rid="ref4">4</xref>). Hypertension affects 25.9% of various population groups in the region (<xref ref-type="bibr" rid="ref5">5</xref>). In Ethiopia, the nationwide incidence of hypertension was 19.6% in 2015 (<xref ref-type="bibr" rid="ref6">6</xref>), with regional variations: 18.8% in Sidama (<xref ref-type="bibr" rid="ref7">7</xref>), 28.3% in Gondar (<xref ref-type="bibr" rid="ref8">8</xref>), 13.2% in Jimma (<xref ref-type="bibr" rid="ref9">9</xref>), and 11% in Mekelle (<xref ref-type="bibr" rid="ref10">10</xref>). Self-care practices like regular exercise, a heart-healthy diet, reducing salt, maintaining weight, limiting alcohol, quitting smoking, and taking medication are key to reducing hypertension and managing blood pressure. Embracing these measures is essential for controlling hypertension and reducing related morbidity and mortality (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>Adhering to self-care practices lowers blood pressure, enhances the effectiveness of medications, and significantly decreases complications and mortality associated with hypertension (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). Improving self-care behaviors can greatly reduce the life-threatening complications of hypertension (<xref ref-type="bibr" rid="ref15">15</xref>). Factors associated with poor hypertension self-care include low education (<xref ref-type="bibr" rid="ref16 ref17 ref18 ref19 ref20">16&#x2013;20</xref>), insufficient knowledge of hypertension (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref21 ref22 ref23">21&#x2013;23</xref>), poor stress management (<xref ref-type="bibr" rid="ref18">18</xref>), routine hypertension diagnosis (<xref ref-type="bibr" rid="ref24">24</xref>), social isolation (<xref ref-type="bibr" rid="ref18">18</xref>), economic constraints (<xref ref-type="bibr" rid="ref25">25</xref>), and comorbidities (<xref ref-type="bibr" rid="ref22">22</xref>).</p>
<p>Previous research has explored lifestyle modifications, but many studies have not included key components recommended by the Joint National Committee for hypertension prevention, detection, and screening. In Ethiopia, earlier studies have largely focused on individual healthcare facilities, potentially limiting a comprehensive assessment of hypertension self-care practices. Additionally, there is a notable lack of zonal-level studies that include both woreda and tertiary hospitals (<xref ref-type="bibr" rid="ref26 ref27 ref28">26&#x2013;28</xref>). The COVID-19 pandemic further disrupted health systems, particularly affecting follow-up care for chronic conditions like hypertension in developing countries, including Ethiopia (<xref ref-type="bibr" rid="ref29 ref30 ref31">29&#x2013;31</xref>). This study aimed to address these gaps by examining self-care practices and identifying factors associated with hypertension among patients at North Shewa zone public hospitals in Ethiopia.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Study design, setting, and period</title>
<p>This research employed a hospital-based cross-sectional study conducted in the North Shewa zone, one of the 13 zones in the Amhara region of Ethiopia. The North Shewa zone, with Debre Berhan as its administrative center, is located approximately 147 kilometers north of Addis Ababa and 284 kilometers from Bahir Dar, the capital of the Amhara Regional State. The zone comprises 24 administrative districts, which include 10 hospitals, 99 health centers, and 446 health posts. Data collection for this study took place in public hospitals across the North Shewa zone from June to August 2022.</p>
</sec>
<sec id="sec8">
<title>Participants</title>
<p>The source population comprised all adult hypertensive patients visiting public hospitals in the North Shewa zone. The study population consisted of randomly selected hypertensive patients. Inclusion criteria were being 18&#x2009;years or older and having been under follow-up for at least 6&#x2009;months. Individuals with severe illness or auditory and speech impairments were excluded.</p>
</sec>
<sec id="sec9">
<title>Study variables</title>
<p>The dependent variable was self-care practices among hypertensive patients. The independent variables included sociodemographic factors (gender, age, religion, marital status, residence, education, and occupation) and clinical and behavioral factors (body weight, blood pressure diagnosis context, distance to healthcare facilities, comorbidities, khat chewing, education on noncommunicable diseases), as well as knowledge about hypertension and stress management ability.</p>
</sec>
<sec id="sec10">
<title>Sample size determination and sampling technique</title>
<p>The sample size was calculated using a single population proportion formula with a 95% confidence interval, 5% margin of error, and a 24% self-care practice rate from a prior study (<xref ref-type="bibr" rid="ref26">26</xref>).</p>
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<p>Adjustments were made for a 10% nonresponse rate and a design effect of 1.5, resulting in a final sample size of 462. A multi-stage sampling technique was employed in this study. First, 3 out of 10 public hospitals in North Shewa zone were randomly selected using a lottery method. Next, a list of hypertensive patients from these hospitals&#x2019; follow-up unit registration books was created. Patients were then systematically sampled, with every second patient selected until the target sample size was achieved. Participants who missed three consecutive screenings were classified as nonresponses.</p>
</sec>
<sec id="sec11">
<title>Data collection methods and quality assurance</title>
<p>Primary data were collected using interviewer-administered questionnaires adapted from standardized tools employed by previous researchers (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref32 ref33 ref34">32&#x2013;34</xref>). The questionnaire comprised four components: sociodemographic factors, health status questions, self-care practices evaluated through the Hypertension Self-Care Activity Level Effects (H-SCALE), hypertension knowledge measured using the Hypertension Knowledge-Level Scale (HK-LS), and stress management assessed with the Perceived Stress Scale (PSS). The questionnaire was translated into Amharic and then back-translated into English by experts to ensure accuracy. Blood pressure measurement scales were calibrated prior to each reading and the average of two consecutive measurements were recorded. The internal consistency of the tools was evaluated through reliability testing (Cronbach&#x2019;s alpha), yielding satisfactory results: 89.5% for the H-SCALE, 84% for the PSS, and 82% for the HK-LS. To ensure data quality, a pretest was conducted on 5% of the sample not included in the study, and data collectors received thorough training. Data collection was conducted by 8 diploma nurses and supervised by 2 bachelor degree nurses who received 2&#x2009;days of intensive training.</p>
</sec>
<sec id="sec12">
<title>Operational definitions</title>
<p>Hypertension was defined based on SBP readings of 140&#x2009;mmHg or higher and/or DBP readings of 90&#x2009;mmHg or higher (<xref ref-type="bibr" rid="ref2">2</xref>).</p>
<p><italic>Good self-care practice</italic>: A hypertensive patient was considered to have good self-care if they adhered to at least four out of the six H-SCALE subscales (<xref ref-type="bibr" rid="ref18">18</xref>).</p>
<p><italic>Poor self-care practice</italic>: A hypertensive patient was considered to have inadequate self-care if they adhered to three or fewer H-SCALE subscales (<xref ref-type="bibr" rid="ref18">18</xref>).</p>
<p><italic>Knowledge of hypertension</italic>: Participants&#x2019; knowledge of hypertension was assessed using 22 yes/no items of HK-LS. Each correct response was scored as 1, and incorrect as 0. Scores were totaled, with a mean score of 11. Participants scoring 11 or above were classified as having &#x201C;good knowledge,&#x201D; while those scoring below 11 were classified as having &#x201C;poor knowledge&#x201D; (<xref ref-type="bibr" rid="ref33">33</xref>).</p>
<p><italic>Stress management</italic>: The PSS has 14 items, with seven reverse scored to assess lack of control and negative emotional reactions, and seven directly measuring coping with stressors. Responses are rated on a five-point Likert scale from 0 to 4. Total scores are summed, with scores at or above the mean of 7 indicating &#x201C;good stress management,&#x201D; and scores below the mean indicating &#x201C;poor stress management.&#x201D;</p>
</sec>
<sec id="sec13">
<title>Statistical analysis</title>
<p>First, the data were manually reviewed to ensure completeness and consistency. The completed questionnaires were then coded, entered into Epi-Data version 4.6.0.6, and analyzed using SPSS version 23. Descriptive statistics, including frequency, percentage, mean, and standard deviation, were used to summarize the results. Bivariable logistic regression was employed to assess the associations between predictors and outcome variables, calculating crude odds ratios and 95% confidence intervals. Independent variables with <italic>p</italic>-values &#x2264;0.2 in the bivariable analysis were included in the multivariable analysis. The goodness of fit of the model was evaluated using the Hosmer&#x2013;Lemeshow test (<italic>p</italic> value &#x2265;0.05), indicating a well-fitting model. Multicollinearity among independent variables was assessed using variance inflation factors (VIFs &#x003C;4 for all), ensuring tolerable correlations. Adjusted odds ratios (AOR) with a 95% confidence interval were used to identify factors associated with self-care practices, with statistical significance set at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec14">
<title>Results</title>
<sec id="sec15">
<title>Sociodemographic characteristics</title>
<p>Out of 462 individuals, 450 responded to the questionnaire, resulting in a strong response rate of 97%. The majority of respondents were male, comprising 52.7% (237 individuals). The average age was 39.8&#x2009;years (&#x00B1;SD 8.9), with 50.4% (227 participants) in the 35&#x2013;44 age range. Over half of the participants lived in urban areas (54.7%, 246 individuals). Additionally, one-third of the participants had no formal education (35.3%) (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Sociodemographic characteristics of study participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="left" valign="top">Category</th>
<th align="center" valign="top">Frequency (<italic>n</italic>)</th>
<th align="center" valign="top">Percent (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">237</td>
<td align="center" valign="top">52.7</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">213</td>
<td align="center" valign="top">47.3</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Age group (yr)</td>
<td align="left" valign="middle">21&#x2013;34</td>
<td align="center" valign="top">139</td>
<td align="center" valign="top">30.9</td>
</tr>
<tr>
<td align="left" valign="middle">35&#x2013;44</td>
<td align="center" valign="top">227</td>
<td align="center" valign="top">50.4</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;45</td>
<td align="center" valign="top">84</td>
<td align="center" valign="top">18.7</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Religion</td>
<td align="left" valign="top">Orthodox</td>
<td align="center" valign="top">311</td>
<td align="center" valign="top">69.1</td>
</tr>
<tr>
<td align="left" valign="top">Muslims</td>
<td align="center" valign="top">102</td>
<td align="center" valign="top">22.7</td>
</tr>
<tr>
<td align="left" valign="top">Protestant</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">6.7</td>
</tr>
<tr>
<td align="left" valign="top">Catholic</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">1.6</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Marital status</td>
<td align="left" valign="middle">Single</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">9.3</td>
</tr>
<tr>
<td align="left" valign="middle">Married</td>
<td align="center" valign="top">323</td>
<td align="center" valign="top">71.8</td>
</tr>
<tr>
<td align="left" valign="middle">Divorced</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">12.0</td>
</tr>
<tr>
<td align="left" valign="middle">Widowed/widower</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">6.9</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Residence</td>
<td align="left" valign="middle">Rural</td>
<td align="center" valign="top">142</td>
<td align="center" valign="top">31.6</td>
</tr>
<tr>
<td align="left" valign="middle">Semiurban</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">13.8</td>
</tr>
<tr>
<td align="left" valign="middle">Urban</td>
<td align="center" valign="top">246</td>
<td align="center" valign="top">54.7</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Education</td>
<td align="left" valign="middle">No formal education</td>
<td align="center" valign="top">159</td>
<td align="center" valign="top">35.3</td>
</tr>
<tr>
<td align="left" valign="middle">Primary education</td>
<td align="center" valign="top">69</td>
<td align="center" valign="top">15.3</td>
</tr>
<tr>
<td align="left" valign="middle">Secondary education</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">10.2</td>
</tr>
<tr>
<td align="left" valign="middle">College education</td>
<td align="center" valign="top">114</td>
<td align="center" valign="top">25.3</td>
</tr>
<tr>
<td align="left" valign="middle">University and above</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">13.9</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="6">Occupational status</td>
<td align="left" valign="middle">Civil servant</td>
<td align="center" valign="top">115</td>
<td align="center" valign="top">25.6</td>
</tr>
<tr>
<td align="left" valign="middle">Private employee</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">7.3</td>
</tr>
<tr>
<td align="left" valign="middle">House-wife</td>
<td align="center" valign="top">64</td>
<td align="center" valign="top">14.2</td>
</tr>
<tr>
<td align="left" valign="middle">Retired</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">7.8</td>
</tr>
<tr>
<td align="left" valign="middle">Farmer</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">22.2</td>
</tr>
<tr>
<td align="left" valign="middle">Merchant</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">22.9</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec16">
<title>Clinical and behavioral characteristics</title>
<p>Approximately half of the participants (51.6%, 232) were of normal weight, while 44.2% (199) were classified as overweight. Blood pressure was diagnosed during routine check-ups for 48.7% (219) of participants, with one-third of them (36.7%, 165) having to travel over an hour to reach the hospital. Comorbidities were present in 28.4% (128) of participants, and 13.1% (59) were khat chewers. Additionally, 43.3% (195) had received education on noncommunicable diseases at the hospital.</p>
</sec>
<sec id="sec17">
<title>Self-care practices using H-SCALE</title>
<p>Self-care activities among hypertensive patients were evaluated using the H-SCALE domains. Of the participants, 231 (51.3, 95% CI: 46.4&#x2013;55.6%) demonstrated poor self-care practices related to hypertension. Of the 450 participants, over half (235, 52.2%) had poor medication adherence, and 241 (53.6%) had poor adherence to a low-salt diet. One-third (151, 33.6%) displayed poor adherence to physical activity guidelines. In contrast, only 21 (4.7%) had poor adherence to smoking cessation efforts. More than half of the participants (245, 54.4%) showed poor adherence to recommended alcohol consumption limits, and 240 (53.3%) exhibited poor adherence to weight management strategies (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Study participants self-care adherence using H-SCALE.</p>
</caption>
<graphic xlink:href="fmed-11-1482061-g001.tif"/>
</fig>
</sec>
<sec id="sec18">
<title>Factors associated with self-care practices</title>
<p>After adjusting for potential confounding variables, higher education, being widowed/widower, poor self-care knowledge, inadequate stress management, and first diagnosis of hypertension during a check-up were identified as significant factors associated with poor hypertension self-care practices. Participants with a college-level education were 73% less likely to exhibit poor self-care practices compared to those with no formal education (AOR&#x2009;=&#x2009;0.27, 95% CI&#x2009;=&#x2009;0.07&#x2013;0.95). Those with university-level education or higher were 64% less likely to show poor self-care practices (AOR&#x2009;=&#x2009;0.36, 95%CI: 0.13&#x2013;0.98). Widowed/widower individuals were 5.3 times more likely to engage in poor self-care compared to single individuals (AOR&#x2009;=&#x2009;5.30, 95%CI: 1.05&#x2013;27.2). Poor knowledge increased the likelihood of poor self-care practices by 4.5 times (AOR&#x2009;=&#x2009;4.51, 95%CI: 2.44&#x2013;8.59), and poor stress management was associated with a threefold increase in poor self-care practices (AOR&#x2009;=&#x2009;3.10, 95%CI:1.64&#x2013;5.74). Additionally, participants first diagnosed with hypertension during routine check-ups were 7.7 times more likely to exhibit poor self-care practices compared to those who developed complications later (AOR&#x2009;=&#x2009;7.72, 95% CI: 4.22&#x2013;13.8) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Factors associated with self-care practices among study participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="left" valign="top" rowspan="2">Categories</th>
<th align="center" valign="top" colspan="2">Self-care practice</th>
<th align="center" valign="top" rowspan="2">COR (95% CI)</th>
<th align="center" valign="top" rowspan="2">AOR (95% CI)</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th align="center" valign="top">Poor</th>
<th align="center" valign="top">Good</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">Age group (yr)</td>
<td align="left" valign="middle">21&#x2013;34</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">78</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">35&#x2013;44</td>
<td align="center" valign="top">123</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">0.65 (0.43, 0.98)</td>
<td align="center" valign="top">0.62 (0.36, 1.23)</td>
<td align="center" valign="top">0.214</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003E;45</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">2.12 (0.97, 4.19)</td>
<td align="center" valign="top">0.94 (0.30, 3.14)</td>
<td align="center" valign="top">0.973</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Marital status</td>
<td align="left" valign="top">Single</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">167</td>
<td align="center" valign="top">156</td>
<td align="center" valign="top">1.16 (0.59, 2.15)</td>
<td align="center" valign="top">2.23 (0.77, 5.96)</td>
<td align="center" valign="top">0.146</td>
</tr>
<tr>
<td align="left" valign="top">Divorced</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">0.83 (0.39, 2.02)</td>
<td align="center" valign="top">1.81 (0.52, 6.41)</td>
<td align="center" valign="top">0.335</td>
</tr>
<tr>
<td align="left" valign="top">Widowed/widower</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">2.56 (0.96, 6.69)</td>
<td align="center" valign="top">5.30 (1.05, 27.2)</td>
<td align="center" valign="top">0.040</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Education</td>
<td align="left" valign="middle">No formal education</td>
<td align="center" valign="top">101</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Primary education</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">1.14 (0.62, 2.00)</td>
<td align="center" valign="top">0.63 (0.22, 1.94)</td>
<td align="center" valign="top">0.457</td>
</tr>
<tr>
<td align="left" valign="middle">Secondary education</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">0.91 (0.46, 1.84)</td>
<td align="center" valign="top">0.77 (0.24, 2.53)</td>
<td align="center" valign="top">0.683</td>
</tr>
<tr>
<td align="left" valign="middle">College education</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">71</td>
<td align="center" valign="top">2.83 (1.74, 4.73)</td>
<td align="center" valign="top">0.27 (0.07, 0.95)</td>
<td align="center" valign="top">0.042</td>
</tr>
<tr>
<td align="left" valign="middle">University &#x0026; above</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">5.42 (2.80, 10.6)</td>
<td align="center" valign="top">0.36 (0.13, 0.98)</td>
<td align="center" valign="top">0.041</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Knowledge of hypertension</td>
<td align="left" valign="top">Poor</td>
<td align="center" valign="top">78</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">12.1 (7.74, 19.8)</td>
<td align="center" valign="top">4.51 (2.44, 8.59)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Good</td>
<td align="center" valign="top">153</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Stress management</td>
<td align="left" valign="top">Poor</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">173</td>
<td align="center" valign="top">11.1 (7.22, 17.4)</td>
<td align="center" valign="top">3.10 (1.64, 5.74)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Good</td>
<td align="center" valign="top">173</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Hypertension diagnosis time</td>
<td align="left" valign="middle">During check-up</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">176</td>
<td align="center" valign="top">17.3 (11.1, 28.6)</td>
<td align="center" valign="top">7.72 (4.22, 13.8)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Post-complication</td>
<td align="center" valign="top">188</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Comorbidities</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">81</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">0.53 (0.33, 0.77)</td>
<td align="center" valign="top">0.65 (0.33, 1.27)</td>
<td align="center" valign="top">0.208</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">150</td>
<td align="center" valign="top">172</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Khat chewing</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">0.58 (0.33, 1.02)</td>
<td align="center" valign="top">1.64 (0.75, 3.74)</td>
<td align="center" valign="top">0.212</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">194</td>
<td align="center" valign="top">197</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CI, confidence interval; COR, crude odds ratio; AOR, adjusted odds ratio. &#x002A; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; &#x002A;&#x002A; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec19">
<title>Discussion</title>
<p>In this study, a significant proportion of participants (51.3, 95% CI: 46.4&#x2013;55.6%) exhibited poor self-care practices for managing hypertension. This finding is consistent with 48.5% in Addis Ababa (<xref ref-type="bibr" rid="ref16">16</xref>), 51% in Dessie (<xref ref-type="bibr" rid="ref17">17</xref>), 53.1% in Jimma (<xref ref-type="bibr" rid="ref35">35</xref>) and 48% in Dire Dawa (<xref ref-type="bibr" rid="ref21">21</xref>) studies in Ethiopia. These results highlight a troubling prevalence of inadequate self-care among hypertensive patients, identifying a critical area for intervention. Despite the established importance of self-care in managing hypertension and mitigating related complications, this issue remains significant (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). Addressing this disparity is crucial for optimizing hypertension management and reducing the burden of non-communicable diseases related to hypertension.</p>
<p>Participants with a college-level education were 73% less likely to have poor self-care practices, while those with a university-level education or higher were 64% less likely to exhibit poor self-care compared to those without formal education. These findings are consistent with studies conducted in Ethiopia (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>), Ghana (<xref ref-type="bibr" rid="ref19">19</xref>), and India (<xref ref-type="bibr" rid="ref20">20</xref>). Higher education enhances understanding of hypertension and self-care, improves health literacy, and boosts motivation for healthy behaviors. Educated individuals are better at managing their health, accessing resources, and often have higher socio-economic status, which provides better access to healthcare, healthy food, and physical activity, leading to improved hypertension management. This highlights the need for targeted educational interventions to improve awareness and self-care practices, helping to reduce disparities and enhance health outcomes across different educational levels.</p>
<p>Widowed or widower adults were 5.3 times more likely to have poor self-care practices for hypertension compared to single adults. This finding is consistent with a study in Dessie, Ethiopia (<xref ref-type="bibr" rid="ref17">17</xref>). The stress and emotional strain of losing a spouse can hinder effective health management, reducing motivation and adherence to self-care. Widowed individuals may lack social support, experience loneliness, and face disrupted routines, all of which can negatively impact their ability to manage hypertension. Community programs and social support networks could help alleviate these effects and improve hypertension management outcomes for this group.</p>
<p>In this study, individuals with poor knowledge about hypertension were 4.5 times more likely to exhibit poor self-care practices compared to those with good knowledge. This finding is supported by studies conducted in Ethiopia (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref21 ref22 ref23">21&#x2013;23</xref>). Poor knowledge about hypertension can lead to neglect of self-care, misunderstanding of treatment guidelines, and difficulty recognizing symptoms. This lack of understanding reduces motivation and impairs decision-making, affecting overall management of the condition. Recommendations include tailored educational programs, detailed information on hypertension management, and community-based support groups to reinforce knowledge and adherence to self-care practices.</p>
<p>The study found a significant link between poor stress management and inadequate self-care practices in hypertensive individuals, with those having poor stress management being three times more likely to have poor self-care. This finding is consistent with previous research, including a study in Debre Tabor, which also showed a significant link between stress management and self-care practices (<xref ref-type="bibr" rid="ref18">18</xref>). Stress impedes positive health behaviors and worsens hypertension by harming mental health, reducing motivation, leading to unhealthy behaviors, and impairing self-care and decision-making. Chronic stress can further elevate blood pressure, complicating hypertension management. Interventions for hypertensive patients should focus on stress management techniques like mindfulness-based stress reduction (MBSR), cognitive behavioral therapy (CBT), relaxation exercises, and yoga to reduce stress, improve blood pressure, and boost self-care and well-being.</p>
<p>The study found that individuals first diagnosed with high blood pressure during routine check-ups were 7.7 times more likely to have poor self-care practices than those diagnosed after developing complications. This is consistent with findings from Saudi Arabia (<xref ref-type="bibr" rid="ref24">24</xref>). Being first diagnosed with high blood pressure during routine check-ups is linked to poor self-care due to limited time to grasp the condition&#x2019;s long-term implications, reduced urgency, and potentially insufficient education on hypertension management. Patients with complications are likely more concerned about managing their hypertension than those newly diagnosed, as they experience the direct impact of poorly controlled hypertension. This motivates them to prioritize better management and adhere to treatment strategies. Enhancing awareness and understanding can encourage proactive self-care, resulting in better long-term health outcomes.</p>
</sec>
<sec id="sec20">
<title>Limitations of the study</title>
<p>The generalizability of our study is strengthened by its random sampling and inclusion of diverse health institutions settings across a broad geographic area. However, the cross-sectional design limits the ability to establish causal relationships between factors and self-care practices. Additionally, self-reported data may be subject to recall and social desirability biases, potentially affecting accuracy.</p>
</sec>
<sec sec-type="conclusions" id="sec21">
<title>Conclusion</title>
<p>This study highlights significant associations between various factors and self-care practices among individuals with hypertension. A notable proportion demonstrated inadequate self-care practices, emphasizing the necessity for targeted interventions. Factors such as education level, marital status, hypertension knowledge, stress management, and timing of diagnosis were identified as critical determinants. Moving forward, healthcare providers should prioritize tailored educational interventions, stress management strategies, and early detection efforts to enhance hypertension awareness and management. Community-based support programs offer promise in addressing psychosocial factors influencing self-care. By addressing these factors comprehensively, healthcare systems can empower individuals to adopt proactive self-care behaviors, thus improving long-term health outcomes for hypertensive populations.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec22">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, upon reasonable request.</p>
</sec>
<sec sec-type="ethics-statement" id="sec23">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Debre Berhan University, Asrat Weldeyes Health Science Campus Institutional Review Board (IRB-030/2022). 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.</p>
</sec>
<sec sec-type="author-contributions" id="sec24">
<title>Author contributions</title>
<p>HK: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal analysis, Data curation, Conceptualization. TY: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Validation, Supervision, Software, Methodology, Investigation, Formal analysis, Data curation. AB: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Supervision, Resources, Project administration, Methodology, Investigation, Funding acquisition. SW: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Supervision, Resources, Project administration, Methodology, Investigation, Funding acquisition. NS: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Visualization, Validation, Supervision, Software, Methodology, Investigation, Formal analysis, Data curation. AM: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Visualization, Validation, Supervision, Software, Methodology, Investigation, Formal analysis, Data curation.</p>
</sec>
<sec sec-type="funding-information" id="sec25">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<p>We thank Debre Berhan University, Asrat Weldeyes Health Science Campus, for granting ethical clearance for this study. We also extend our gratitude to the study participants, data collectors, and the North Shewa zone Health Office for their valuable contributions and support.</p>
</ack>
<sec sec-type="COI-statement" id="sec26">
<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 sec-type="disclaimer" id="sec27">
<title>Publisher&#x2019;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>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>AOR, Adjusted Odds Ratio; CI, Confidence Interval; DBP, Diastolic Blood Pressure; NCD, Non-Communicable Disease; SBP, Systolic Blood Pressure; SPSS, Statistical Package of Social Sciences.</p>
</fn>
</fn-group>
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