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<p><bold>Knowledge, Attitude, and Preventive Practices for
Cardiovascular Diseases among Type 2 Diabetic Patients in Kabul
City</bold></p>
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        <th><inline-graphic mimetype="image" mime-subtype="jpeg" xlink:href="vertopal_7722b28bc8494df18187d0aa3758accb/media/image1.jpeg" />ajbms.knu.edu.af</th>
        <th><p><bold>Afghanistan Journal of Basic Medical
        Sciences</bold></p>
        <p>2025 Jan 2(2): 140-151.</p></th>
        <th><graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_7722b28bc8494df18187d0aa3758accb/media/image2.png" />
        <p>ISSN: 3005-6632</p></th>
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<p>Mohammad Naim Safi <sup>1</sup>, Khair Mohammad Mohammadi
<sup>2</sup>, *Abdulhafiz Rahmati <sup>3</sup></p>
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    <p><italic>The Master of Public Health Program, Faculty of Public
    Health, Kabul University of Medical Sciences. Kabul,
    Afghanistan</italic></p>
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    <p><italic>Department of Epidemiology and Biostatistics, Faculty of
    Public Health, Kabul University of Medical Sciences. Kabul,
    Afghanistan</italic></p>
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    <p><italic>Department of Behavioral Science and Health Education,
    Faculty of Public Health, Kabul University of Medical Sciences.
    Kabul, Afghanistan</italic></p>
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        <th><bold>A R ART I C L E I N F O</bold></th>
        <th><bold>A B S T R A C T</bold></th>
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        <td><p><bold>Type: Original Article</bold></p>
        <p>Received: 13 May 2025</p>
        <p>Accepted: 25 June, 2025</p>
        <p><sup>*</sup>Corresponding Author:</p>
        <p>E-mails: <email>abdulhafiz.rahmati@gmail.com</email></p>
        <p><bold>To cite this article:</bold> Safi MN, Mohammadi KM,
        Rahmati A. Knowledge, Attitude, and Preventive Practices for
        Cardiovascular Diseases among Type 2 Diabetic Patients in Kabul
        City.</p>
        <p>Afghanistan Journal of Basic Medical Sciences. 2025 Jan
        2(2):140-151.</p>
        <p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.62134/khatamuni.95">https://doi.org/10.62134/khatamuni.95</ext-link></p></td>
        <td><p><bold>Background:</bold> We investigated the knowledge,
        attitudes, and preventive practices (KAP) regarding
        cardiovascular diseases (CVD) among type 2 diabetics in Kabul
        City, Afghanistan in 2024-25. Understanding these factors is
        critical for developing effective public health interventions in
        resource-limited settings</p>
        <p><bold>Methods:</bold> A total of 528 participants were
        enrolled. Data were collected through structured questionnaires
        assessing participant's knowledge of CVD, attitudes toward
        prevention, and reported practices.</p>
        <p><bold>Results</bold>: 83.3% of participants recognized CVD as
        a leading cause of death, and 86.4% acknowledged the importance
        of physical activity in prevention. However, knowledge of
        specific symptoms was notably low, with only 12.1% identifying
        chest pain as a heart attack symptom. Attitudes toward CVD
        prevention were generally positive, with 97.0% emphasizing
        physical activity and dietary control. Despite this, only 63.6%
        engaged in moderate aerobic activities, and 50.0% reported
        adding salt to their food. Gender differences were significant,
        with males scoring higher in knowledge and practice. Age and
        education levels also influenced KAP scores.</p>
        <p><bold>Conclusion:</bold> The study highlights substantial
        gaps in knowledge and preventive practices among type 2
        diabetics in Kabul. Targeted educational interventions are
        essential to enhance symptom recognition and promote effective
        preventive behaviors, addressing the identified discrepancies in
        knowledge and actual practices.</p>
        <p><bold>Keywords:</bold> Diabetes, Cardiovascular Diseases,
        Public Health, Health Education, Afghanistan</p></td>
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<p><bold>Introduction</bold></p>
<p>Diabetes mellitus (DM) encompasses a group of metabolic disorders
characterized by persistent hyperglycemia due to deficiencies in insulin
production, function, or both. It remains one of the leading causes of
mortality worldwide (1). As of 2021, an estimated 537 million adults
aged 20–79 years were diagnosed with diabetes, accounting for
approximately one in ten individuals within this age group. This figure
is expected to rise to 643 million by 2030 and 783 million by 2045 (2).
Alarmingly, more than 75% of individuals with diabetes reside in low-
and middle-income countries, underscoring significant global health
disparities (3).</p>
<p>In 2021, diabetes was responsible for approximately 6.7 million
deaths, equating to one fatality every five seconds (2). The mortality
burden is particularly severe in resource-limited settings, where access
to healthcare and diabetes management services may be inadequate (4).
Additionally, diabetes substantially increases the risk of CVD, with
diabetic individuals experiencing a two- to four-fold higher likelihood
of cardiovascular events compared to those without diabetes (5). Among
individuals with diabetes, CVD is the most common cause of morbidity and
mortality (6). This heightened risk is observed in both men and women,
with relative CVD mortality risks ranging from 1 to 3 in men and 2 to 5
in women compared to non-diabetics (7).</p>
<p>Despite the well-established link between diabetes and CVD, many
diabetic individuals are unaware of their elevated cardiovascular risk,
which may impede preventive measures. One study reported that while 61%
of patients with type 2 diabetes acknowledged the association between
diabetes and CVD, only 29% actively considered their cardiovascular risk
in routine health management (8). Assessing patients’ knowledge,
attitudes, and practices (KAP) regarding chronic diseases is essential
for designing effective educational interventions aimed at mitigating
disease complications. Evidence suggests that higher knowledge levels
correlate with improved disease management. For instance, while
awareness and attitudes toward CVD prevention were relatively high,
adherence to preventive practices remained low, emphasizing the need for
targeted education (9). Furthermore, evaluating KAP can help identify
gaps in knowledge that may contribute to suboptimal health outcomes.
Inadequate understanding of chronic diseases among patients directly
impacted their ability to manage their conditions effectively (10).
Despite the growing global burden of CVD, particularly among individuals
with type 2 diabetes (11), there remains a significant lack of
context-specific data on the KAP related to CVD risk in low-resource
settings.</p>
<p>While several studies have examined KAP in various regions, no
research to date has specifically explored these dimensions among type 2
diabetic patients in Kabul, Afghanistan. This gap is critical, given the
increasing prevalence of diabetes and the associated CVD risk in the
Afghan population, coupled with limited public health infrastructure and
preventive education. Addressing this gap is essential for developing
targeted interventions and improving disease outcomes. Therefore, we
aimed to assess the KAP regarding CVD risk among individuals with type 2
diabetes in Kabul City in 2024-25.</p>
<p><bold>Materials and Methods</bold></p>
<p>This cross-sectional study was conducted at Wazir Mohammad Akbar Khan
National Hospital, Kabul, Afghanistan to evaluate the KAP of patients
with diabetes regarding CVD prevention from May 2024 to March 2025. A
total of 528 participants were recruited using a convenience sampling
method. Eligible participants included individuals aged 20 years and
above, diagnosed with type 2 diabetes for at least six months, and
willing to participate. Patients with cognitive impairments or severe
comorbidities that could hinder their ability to complete the
questionnaire were excluded.</p>
<p>Ethical approval was obtained before data collection, and necessary
coordination was made with the hospital administration. Informed consent
was taken from the enrolled cases.</p>
<p>Patients attending routine check-ups who met the inclusion criteria
were invited to participate after receiving detailed information about
the study and providing informed consent. Data collection was conducted
using two structured questionnaires. The first questionnaire gathered
demographic details, including gender, age, education level, occupation,
marital status, and duration of diabetes. The second questionnaire
assessed KAP related to CVD prevention and was adapted from the
validated instrument developed by Kohi et al (12). The knowledge section
comprised 12 multiple-choice questions evaluating awareness of CVD risk
factors, with response options of &quot;No&quot; (0 points), &quot;Don’t
know&quot; (1 point), and &quot;Yes&quot; (2 points), yielding a total
score range of 0 to 24, where higher scores indicated greater knowledge.
The attitude section consisted of 10 Likert-scale items measuring
perceptions of CVD prevention strategies, with response options ranging
from &quot;Strongly disagree&quot; 1) n to &quot;Strongly agree&quot;
5), leading to a total score range of 10 to 50, where higher scores
denoted a more favorable attitude. The practice section included seven
questions assessing preventive behaviors related to CVD, with response
options of &quot;No&quot; (0 points), &quot;Don’t know&quot; (1 point),
and &quot;Yes&quot; (2 points), resulting in a total score range of 0 to
14, where higher scores indicated better adherence to preventive
measures. </p>
<p>Data were analyzed using Statistical Package for Social Sciences
Software (SPSS) version 24.0 (IBM Corp., Armonk, NY, USA). Descriptive
analysis was used to analyze the socio-demographic and the level of
knowledge and practice on CVD prevention. Pearson correlation,
independent t-tests, and one-way ANOVA, were applied to examine
associations between KAP scores and demographic variables.</p>
<p><bold>Results</bold></p>
<p><italic><bold>Sociodemographic Characteristics</bold></italic></p>
<p>A total of 528 participants were enrolled, consisting of 240 males
(45.5%) and 288 females (54.5%). The mean age was 52.54 ± 10.56 years,
with the majority (42.0%) aged between 51 and 60 years. Most
participants were married (98.5%) and homemakers (54.5%). The
educational background of participants varied, with 68.2% being
illiterate and only 5.7% having a bachelor's degree or higher. The
duration of diabetes ranged from less than one year to over 20 years,
with the largest proportion (42.4%) having diabetes for 1–5 years (Table
1).</p>
<p><italic><bold>Knowledge of Cardiovascular Disease</bold></italic></p>
<p>The majority of participants (83.3%) identified CVD as a leading
cause of death in Afghanistan, and 86.4% acknowledged the role of
physical activity in prevention. Awareness of dietary influences was
high, with 89.4% recognizing the benefits of fruit and vegetable
consumption, and 90.9% understanding the risks of excessive salt intake.
However, knowledge of CVD symptoms was low, with only 12.1% recognizing
chest pain as a symptom of a heart attack and 3.0% identifying sudden
weakness as a symptom of stroke. The mean knowledge score was 19.29 ±
2.40 (Table 2).</p>
<p><bold>Table 1:</bold> Demographic characteristics of patients with
type 2 diabetes</p>
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        <th><bold>Characteristics</bold></th>
        <th><bold>n (%)</bold></th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><p>Gender</p>
        <p>Male</p>
        <p>Female</p></td>
        <td><p>240 (45.5)</p>
        <p>288 (54.5)</p></td>
      </tr>
      <tr>
        <td><p>Age (years)</p>
        <p>20-30</p>
        <p>31-40</p>
        <p>41-50</p>
        <p>51-60</p>
        <p>61-70</p>
        <p>&gt;70</p></td>
        <td><p>40 (7.6)</p>
        <p>24 (4.5)</p>
        <p>154 (29.2)</p>
        <p>222 (42.0)</p>
        <p>72 (13.6)</p>
        <p>16 (3.0)</p></td>
      </tr>
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        <td><p>Marital status</p>
        <p>Married</p>
        <p>widowed</p></td>
        <td><p>520 (98.5)</p>
        <p>8 (1.5)</p></td>
      </tr>
      <tr>
        <td><p>Occupation</p>
        <p>House Wife</p>
        <p>Retired</p>
        <p>Self-employed</p>
        <p>Government employee</p>
        <p>Unemployed</p>
        <p>Student</p></td>
        <td><p>288 (54.5)</p>
        <p>24 (4.5)</p>
        <p>120 (22.7)</p>
        <p>8 (1.5)</p>
        <p>80 (15.2)</p>
        <p>8 (1.5)</p></td>
      </tr>
      <tr>
        <td><p>Level of education</p>
        <p>Illiterate</p>
        <p>Primary education</p>
        <p>High School</p>
        <p>Bachelor and Higher</p></td>
        <td><p>360 (68.2)</p>
        <p>96 (18.2)</p>
        <p>42 (8.0)</p>
        <p>30 (5.7)</p></td>
      </tr>
      <tr>
        <td><p>Duration of Diabetes (years)</p>
        <p>&lt;1</p>
        <p>1-5</p>
        <p>6-10</p>
        <p>11-15</p>
        <p>16-20</p>
        <p>20&gt;</p></td>
        <td><p>56 (10.6)</p>
        <p>224 (42.4)</p>
        <p>131 (24.8)</p>
        <p>70 (13.3)</p>
        <p>29 (5.5)</p>
        <p>18 (3.4)</p></td>
      </tr>
    </tbody>
  </table>
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<p><bold>Table 2:</bold> Awareness of cardiovascular disease prevention
in patients with type 2 diabetes</p>
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        <th rowspan="2"><bold>Knowledge</bold></th>
        <th><bold>Yes</bold></th>
        <th><bold>No</bold></th>
        <th><bold>I don’t know</bold></th>
      </tr>
      <tr>
        <th>n (%)</th>
        <th>n (%)</th>
        <th>n (%)</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>Are cardiovascular diseases a leading cause of death in
        Afghanistan.</td>
        <td>440 (83.3)</td>
        <td>16 (3.0)</td>
        <td>72 (13.6)</td>
      </tr>
      <tr>
        <td>Can physical activities help prevent cardiovascular
        diseases.</td>
        <td>456 (86.4)</td>
        <td>8 (1.5)</td>
        <td>64 (12.1)</td>
      </tr>
      <tr>
        <td>Does daily consumption of fruits and vegetables have a
        positive impact on heart and vascular health.</td>
        <td>472 (89.4)</td>
        <td>-</td>
        <td>56 (10.6)</td>
      </tr>
      <tr>
        <td>Can a family history of cardiovascular diseases (father,
        mother, sister, or brother) increase the risk.</td>
        <td>272 (51.5)</td>
        <td>48 (9.1)</td>
        <td>208 (39.4)</td>
      </tr>
      <tr>
        <td>Are obese individuals at a higher risk of developing
        cardiovascular diseases.</td>
        <td>416 (78.8)</td>
        <td>8 (1.5)</td>
        <td>104 (19.7)</td>
      </tr>
      <tr>
        <td>Can the consumption of tobacco products (e.g., cigarettes,
        hookah) increase the risk of cardiovascular diseases.</td>
        <td>488 (92.4)</td>
        <td>16 (3.0)</td>
        <td>24 (4.5)</td>
      </tr>
      <tr>
        <td>Does consuming salt and canned products increase the risk of
        high blood pressure.</td>
        <td>480 (90.9)</td>
        <td>-</td>
        <td>48 (9.1)</td>
      </tr>
      <tr>
        <td>Can controlling blood sugar and preventing diabetes reduce
        cardiovascular complications.</td>
        <td>400 (75.8)</td>
        <td>16 (3.0)</td>
        <td>112 (21.2)</td>
      </tr>
      <tr>
        <td>Is controlling high blood pressure important for preventing
        heart attacks.</td>
        <td>440 (83.3)</td>
        <td>24 (4.5)</td>
        <td>64 (12.1)</td>
      </tr>
      <tr>
        <td>Can chest pain, pressure, or burning sensation be symptoms
        of a heart attack.</td>
        <td>64 (12.1)</td>
        <td>-</td>
        <td>464 (87.9)</td>
      </tr>
      <tr>
        <td>Can pain or discomfort in the jaw, neck, between the
        shoulders, arms, or stomach be symptoms of a heart attack.</td>
        <td>40 (7.6)</td>
        <td>-</td>
        <td>488 (92.40</td>
      </tr>
      <tr>
        <td>Can sudden weakness or numbness in the face, arms, or legs
        be symptoms of a stroke.</td>
        <td>16 (3.0)</td>
        <td>-</td>
        <td>512 (97.0)</td>
      </tr>
      <tr>
        <td colspan="4"><p>Knowledge Total Score Mean ± Std.
        Deviation</p>
        <p>2.400 ± 19.29</p></td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p><italic><bold>Attitudes toward Cardiovascular Disease
Prevention</bold></italic></p>
<p>Attitudes toward CVD prevention were generally positive. A large
proportion (97.0%) emphasized the importance of physical activity,
weight control, and salt reduction in maintaining cardiovascular health.
However, attitudes toward tobacco consumption varied, with 95.5%
believing it to be harmful, while a minority remained uncertain. The
mean attitude score was 48.15 ± 4.05 (Table 3).</p>
<p><bold>Table 3:</bold> Attitude of cardiovascular disease prevention
in patients with type 2 diabetes</p>
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      <col width="45%" />
      <col width="11%" />
      <col width="11%" />
      <col width="11%" />
      <col width="11%" />
      <col width="12%" />
    </colgroup>
    <thead>
      <tr>
        <th rowspan="2"><bold>Attitude</bold></th>
        <th><bold>Strongly agree</bold></th>
        <th><bold>Agree</bold></th>
        <th><bold>I don’t know</bold></th>
        <th><bold>Disagree</bold></th>
        <th><bold>Strongly Disagree</bold></th>
      </tr>
      <tr>
        <th>n (%)</th>
        <th>n (%)</th>
        <th>n (%)</th>
        <th>n (%)</th>
        <th>n (%)</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>I believe physical activity is essential for health.</td>
        <td>512 (97.0)</td>
        <td>-</td>
        <td>8 (1.5)</td>
        <td>8 (1.5)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>I believe I should try walking instead of taking a taxi or
        bus to reach my destination.</td>
        <td>488 (92.4)</td>
        <td>16 (3.0)</td>
        <td>16 (3.0)</td>
        <td>8 (1.5)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>I believe using any form of tobacco (such as cigarettes or
        hookah) is harmful to health.</td>
        <td>-</td>
        <td>8 (1.5)</td>
        <td>8 (1.5)</td>
        <td>8 (1.5)</td>
        <td>504 (95.5)</td>
      </tr>
      <tr>
        <td>I believe maintaining an appropriate weight (avoiding
        overweight) helps me stay healthy.</td>
        <td>512 (97.0)</td>
        <td>-</td>
        <td>8 (1.5)</td>
        <td>8 (1.5)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>I believe eating less fatty food is necessary for
        maintaining health.</td>
        <td>504 (95.5)</td>
        <td>8 (1.5)</td>
        <td>8 (1.5)</td>
        <td>8 (1.5)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>I believe consuming 3-5 servings of raw or cooked fruits
        daily can be beneficial for my health.</td>
        <td>504 (95.5)</td>
        <td>8 (1.5)</td>
        <td>8 (1.5)</td>
        <td>-</td>
        <td>-</td>
      </tr>
      <tr>
        <td>I believe uncontrolled blood sugar in diabetic patients can
        lead to heart attacks.</td>
        <td>464 (87.9)</td>
        <td>8 (1.5)</td>
        <td>48 (9.1)</td>
        <td>8 (1.5)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>I believe stress and mental pressure should be controlled to
        prevent heart attacks.</td>
        <td>496 (93.9)</td>
        <td>-</td>
        <td>24 (4.5)</td>
        <td>8 (1.5)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>I believe reducing salt intake can prevent high blood
        pressure.</td>
        <td>512 (97.0)</td>
        <td>-</td>
        <td>8 (1.5)</td>
        <td>8 (1.5)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>I believe consuming fish twice a week is good for heart and
        vascular health.</td>
        <td>240 (45.5)</td>
        <td>144 (27.3)</td>
        <td>136 (25.8)</td>
        <td>-</td>
        <td>8 (1.5)</td>
      </tr>
      <tr>
        <td colspan="6"><p>Attitude Total Score</p>
        <p>Mean ± Std. Deviation</p>
        <p>48.15 ± 4.046</p></td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p><italic><bold>Practice of Cardiovascular Disease
Prevention</bold></italic></p>
<p>Approximately 59.1% engaged in vigorous aerobic activities, while
63.6% participated in moderate aerobic exercises. Dietary habits showed
variability, with 69.7% adhering to recommended fruit and vegetable
intake, but 50.0% reported adding salt to their food. Additionally,
12.1% used tobacco products. The mean practice score was 6.89 ± 3.06
(Table 4).</p>
<p><bold>Table 4:</bold> Practice of cardiovascular disease prevention
in patients with type 2 diabetes</p>
<table-wrap>
  <table>
    <colgroup>
      <col width="68%" />
      <col width="11%" />
      <col width="11%" />
      <col width="10%" />
    </colgroup>
    <thead>
      <tr>
        <th rowspan="2"><bold>Practice</bold></th>
        <th><bold>Yes</bold></th>
        <th><bold>No</bold></th>
        <th><bold>I don’t know</bold></th>
      </tr>
      <tr>
        <th>n (%)</th>
        <th>n (%)</th>
        <th>n (%)</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>Do you engage in vigorous aerobic physical activity (such as
        running, cycling, fast swimming, etc.) for 75 minutes per
        week.</td>
        <td>312 (59.1)</td>
        <td>216 (40.9)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>Do you engage in moderate aerobic physical activity (such as
        brisk walking, light cycling, dancing, gardening, etc.) for 150
        minutes per week.</td>
        <td>336 (63.6)</td>
        <td>192 (36.4)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>Do you include sufficient fruits and vegetables in your diet
        based on the diabetic diet guidelines.</td>
        <td>368 (69.7)</td>
        <td>160 (30.3)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>Do you use oil for cooking.</td>
        <td>472 (89.4)</td>
        <td>56 (10.6)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>Do you add salt to your food at the table.</td>
        <td>264 (50.0)</td>
        <td>264 (50.0)</td>
        <td>-</td>
      </tr>
      <tr>
        <td>Do you currently use tobacco products (such as cigarettes,
        hookah).</td>
        <td>64 (12.1)</td>
        <td>464 (87.9)</td>
        <td></td>
      </tr>
      <tr>
        <td colspan="4"><p>Practice Total Score</p>
        <p>Mean ± Std. Deviation</p>
        <p>6.8939 ± 3.05859</p></td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p><italic><bold>Differences in KAP</bold></italic></p>
<p>Males had significantly higher knowledge (<italic>P</italic>=0.001)
and practice scores (<italic>P</italic> = 0.001) than females, while
attitude scores did not differ significantly (<italic>P</italic>= 0.36).
Age was significantly associated with knowledge (<italic>P</italic>=
0.001) and practice (p = 0.001), with the 31–40 age group achieving the
highest scores. Education level significantly influenced all three
domains (<italic>P</italic> &lt; 0.05), with participants holding a
bachelor's degree scoring the highest in knowledge and practice. Longer
diabetes duration was associated with lower knowledge scores
(<italic>P</italic> = 0.001), but individuals with over 20 years of
diabetes had the highest practice scores (<italic>P</italic> = 0.001)
(Table 5).</p>
<p><italic><bold>Correlations between KAP</bold></italic></p>
<p>Knowledge was positively correlated with attitude (r = 0.194,
<italic>P</italic> &lt; 0.01) and practice (r = 0.281,
<italic>P</italic> &lt; 0.01), indicating that higher knowledge levels
were associated with better attitudes and practice. However, a weak
negative correlation was observed between attitude and practice (r =
-0.126, <italic>P</italic> &lt; 0.01), suggesting that a positive
attitude does not necessarily translate into improved preventive
behaviors (Table 6).</p>
<p><bold>Table 5:</bold> Comparison of knowledge, attitude, and practice
scores on cardiovascular disease prevention in different groups</p>
<table-wrap>
  <table>
    <colgroup>
      <col width="26%" />
      <col width="15%" />
      <col width="12%" />
      <col width="13%" />
      <col width="11%" />
      <col width="12%" />
      <col width="11%" />
    </colgroup>
    <thead>
      <tr>
        <th><bold>Variable</bold></th>
        <th><p><bold>Knowledge</bold></p>
        <p><bold>Mean ± SD</bold></p></th>
        <th><bold>p-value</bold></th>
        <th><p><bold>Attitude</bold></p>
        <p><bold>Mean ± SD</bold></p></th>
        <th><bold>P-value</bold></th>
        <th><p><bold>Practice</bold></p>
        <p><bold>Mean ± SD</bold></p></th>
        <th><bold>P-value</bold></th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>Gender</td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
      </tr>
      <tr>
        <td>Male</td>
        <td>19.83 ± 2.10</td>
        <td>0.000</td>
        <td>47.97 ± 5.13</td>
        <td>0.36</td>
        <td>7.86 ± 2.83</td>
        <td rowspan="2">0.000<sup>a</sup></td>
      </tr>
      <tr>
        <td>Female</td>
        <td>18.83 ± 2.53</td>
        <td></td>
        <td>48.31 ± 2.84</td>
        <td></td>
        <td>6.08 ± 3.00</td>
      </tr>
      <tr>
        <td>Age</td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
      </tr>
      <tr>
        <td>20-30</td>
        <td>18.00 ± 4.05</td>
        <td>0.000</td>
        <td>47.00 ± 5.08</td>
        <td>0.11</td>
        <td>6.40 ± 2.97</td>
        <td rowspan="6">0.000<sup>b</sup></td>
      </tr>
      <tr>
        <td>31-40</td>
        <td>20.33 ± 0.96</td>
        <td></td>
        <td>49.00 ± 0.83</td>
        <td></td>
        <td>8.66 ± 0.96</td>
      </tr>
      <tr>
        <td>41-50</td>
        <td>19.17 ± 2.20</td>
        <td></td>
        <td>48.58 ± 3.49</td>
        <td></td>
        <td>5.84 ± 3.26</td>
      </tr>
      <tr>
        <td>51-60</td>
        <td>19.42 ± 2.20</td>
        <td></td>
        <td>47.85 ± 4.99</td>
        <td></td>
        <td>7.33 ± 2.88</td>
      </tr>
      <tr>
        <td>61-70</td>
        <td>20.22 ± 1.03</td>
        <td></td>
        <td>48.67 ± 1.06</td>
        <td></td>
        <td>7.22 ± 3.28</td>
      </tr>
      <tr>
        <td>&gt;71</td>
        <td>16.00 ± 3.09</td>
        <td></td>
        <td>47.50 ± 0.51</td>
        <td></td>
        <td>8.00 ± 0.00</td>
      </tr>
      <tr>
        <td>Marital status</td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
      </tr>
      <tr>
        <td>Married</td>
        <td>19.31 ± 2.41</td>
        <td>0.12</td>
        <td>48.12 ± 4.07</td>
        <td>0.19</td>
        <td>6.84 ± 3.05</td>
        <td rowspan="2">0.04<sup>b</sup></td>
      </tr>
      <tr>
        <td>Widowed</td>
        <td>18.00 ± 0.00</td>
        <td></td>
        <td>50.00 ± 0.00</td>
        <td></td>
        <td>10.00 ± 0.00</td>
      </tr>
      <tr>
        <td>Occupation</td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
      </tr>
      <tr>
        <td>House Wife</td>
        <td>18.83 ± 2.53</td>
        <td>0.000</td>
        <td>48.31 ± 2.84</td>
        <td>0.06</td>
        <td>6.08 ± 3.00</td>
        <td rowspan="6">0.000<sup>b</sup></td>
      </tr>
      <tr>
        <td>Retired</td>
        <td>20.67 ± 3.47</td>
        <td></td>
        <td>49.33 ± 0.96</td>
        <td></td>
        <td>10.00 ± 0.00</td>
      </tr>
      <tr>
        <td>Self-employed</td>
        <td>19.20 ± 2.26</td>
        <td></td>
        <td>46.93 ± 7.03</td>
        <td></td>
        <td>7.33 ± 2.99</td>
      </tr>
      <tr>
        <td>Government employee</td>
        <td>20.00 ± 0.00</td>
        <td></td>
        <td>49.00 ± 0.00</td>
        <td></td>
        <td>10.00 ± 0.00</td>
      </tr>
      <tr>
        <td>Unemployed</td>
        <td>20.40 ± 0.92</td>
        <td></td>
        <td>48.90 ± 1.22</td>
        <td></td>
        <td>7.80 ± 2.90</td>
      </tr>
      <tr>
        <td>Student</td>
        <td>21 .00 ± 0.00</td>
        <td></td>
        <td>49.00 ± 0.00</td>
        <td></td>
        <td>8.00 ± 0.00</td>
      </tr>
      <tr>
        <td>Education</td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
      </tr>
      <tr>
        <td>Illiterate</td>
        <td>19.02 ± 2.59</td>
        <td>0.01</td>
        <td>48.38 ± 2.57</td>
        <td>0.000</td>
        <td>6.20 ± 2.95</td>
        <td rowspan="4">0.000<sup>b</sup></td>
      </tr>
      <tr>
        <td>Primary</td>
        <td>19.75 ± 1.97</td>
        <td></td>
        <td>49.00 ± 1.29</td>
        <td></td>
        <td>8.00 ± 2.72</td>
      </tr>
      <tr>
        <td>High School</td>
        <td>19.67 ± 1.95</td>
        <td></td>
        <td>48.86 ± 1.18</td>
        <td></td>
        <td>8.19 ± 3.17</td>
      </tr>
      <tr>
        <td>Bachelor and Higher</td>
        <td>20.47 ± 0.50</td>
        <td></td>
        <td>41.73 ± 12.72</td>
        <td></td>
        <td>9.86 ± 1.38</td>
      </tr>
      <tr>
        <td>Duration of Diabetes (years)</td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
        <td></td>
      </tr>
      <tr>
        <td>&lt;1</td>
        <td>20.14 ± 0.99</td>
        <td>0.000</td>
        <td>48.71 ± 1.03</td>
        <td>0.028</td>
        <td>7.42 ± 2.57</td>
        <td rowspan="6">0.000<sup>b</sup></td>
      </tr>
      <tr>
        <td>1-5</td>
        <td>19.71 ± 1.94</td>
        <td></td>
        <td>48.64 ± 2.33</td>
        <td></td>
        <td>6.75 ± 3.19</td>
      </tr>
      <tr>
        <td>6-10</td>
        <td>19.33 ± 2.38</td>
        <td></td>
        <td>47.31 ± 6.82</td>
        <td></td>
        <td>7.48 ± 3.25</td>
      </tr>
      <tr>
        <td>11-15</td>
        <td>17.03 ± 3.51</td>
        <td></td>
        <td>47.49 ± 3.91</td>
        <td></td>
        <td>5.57 ± 2.92</td>
      </tr>
      <tr>
        <td>16-20</td>
        <td>19.48 ± 1.92</td>
        <td></td>
        <td>48.66 ± 0.89</td>
        <td></td>
        <td>6.75 ± 1.88</td>
      </tr>
      <tr>
        <td>20&gt;</td>
        <td>19.56 ± 0.51</td>
        <td></td>
        <td>48.22 ± 0.64</td>
        <td></td>
        <td>8.00 ± 0.00</td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p><bold>Table 6:</bold> The relationship between knowledge, attitude,
and practice scores on cardiovascular disease prevention.</p>
<table-wrap>
  <table>
    <colgroup>
      <col width="25%" />
      <col width="25%" />
      <col width="25%" />
      <col width="25%" />
    </colgroup>
    <thead>
      <tr>
        <th></th>
        <th><bold>Knowledge</bold></th>
        <th><bold>Attitude</bold></th>
        <th><bold>Practice</bold></th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>Knowledge</td>
        <td>1.000</td>
        <td>0.194</td>
        <td>0.181</td>
      </tr>
      <tr>
        <td>Attitude</td>
        <td>0.194</td>
        <td>1.000</td>
        <td>-0.126</td>
      </tr>
      <tr>
        <td>Practice</td>
        <td>0.181</td>
        <td>-0.126</td>
        <td>1.000</td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p><bold>Discussion</bold></p>
<p>The findings of this study provide valuable insights into the
sociodemographic characteristics, KAP regarding CVD prevention among
individuals with diabetes in Kabul. The demographic profile of
participants reveals a predominantly middle-aged population, with a high
percentage of females and a significant portion being homemakers.
Notably, the low educational attainment, with 68.2% of participants
being illiterate, underscores the critical need for targeted educational
programs aimed at enhancing health literacy. Additionally, the duration
of diabetes among participants varied significantly, with 42.4% having
diabetes for 1–5 years. The causes of T2D in this population are
multifactorial, involving a combination of lifestyle, genetic, and
psychosocial factors, including obesity (13), Psychosocial Stress (14),
and family history (15). For females, particularly homemakers, factors
such as obesity and physical inactivity (16), gestational diabetes (17),
and socioeconomic constraints (18) play a significant role. Furthermore,
low educational attainment is associated with an increased risk of
developing T2D, as studies indicate that individuals with lower
education levels often exhibit poorer healthcare utilization and
self-care behaviors critical for effective diabetes management. For
instance, those with low educational attainment are less likely to
engage in regular health check-ups and diabetes self-care practices,
leading to poorer health outcomes (19).</p>
<p>The results indicate that while general awareness of CVD risk factors
was relatively high, knowledge regarding specific symptoms remained
alarmingly low. A majority of participants correctly identified CVD as a
leading cause of death (83.3%) and recognized the importance of physical
activity (86.4%) and dietary habits (89.4%) in CVD prevention. However,
only 12.1% recognized chest pain as a symptom of a heart attack, and an
even smaller proportion (3.0%) identified sudden weakness as a stroke
symptom. These findings are consistent with previous studies conducted
in low- and middle-income countries, where knowledge gaps regarding CVD
symptoms contribute to delays in seeking medical care, thus increasing
the risk of severe complications and mortality (20, 21).</p>
<p>The low mean knowledge score (19.29 ± 2.40) further highlights the
urgent need for comprehensive public health campaigns aimed at improving
awareness of early warning signs of CVD among high-risk populations.
Despite the knowledge gaps, attitudes toward CVD prevention were
generally positive, with an overwhelming majority of participants
(97.0%) recognizing the importance of physical activity, weight control,
and salt reduction in maintaining cardiovascular health. However,
attitudes toward tobacco use varied, with 95.5% acknowledging its
harmful effects while a small percentage remained uncertain. This
discrepancy suggests that while awareness of modifiable risk factors is
widespread, certain misconceptions or cultural beliefs may persist,
potentially influencing preventive behaviors. The mean attitude score of
48.15 ± 4.05 reflects an overall positive perception of CVD prevention
strategies, aligning with findings from similar studies where
individuals express strong health-conscious attitudes but often struggle
to translate them into concrete behavioral changes (22-24).</p>
<p>The findings reveal inconsistencies between positive attitudes and
actual preventive practices. While a majority engaged in moderate
physical activity (63.6%), participation in vigorous aerobic activities
was lower (59.1%). Additionally, 69.7% adhered to recommended dietary
habits, yet 50.0% continued to add salt to their food, and 12.1%
reported tobacco use. These discrepancies underscore the challenges in
converting knowledge and awareness into sustainable lifestyle
modifications. The low mean practice score (6.89 ± 3.06) suggests that
despite recognizing the importance of preventive measures, participants
may face barriers such as lack of motivation, limited access to
healthcare resources, or cultural and socioeconomic factors that hinder
behavior change. This trend has been observed in another study where
knowledge and positive attitudes do not always lead to improved health
behaviors, emphasizing the need for structured behavioral interventions
and support systems to reinforce healthy practices (25).</p>
<p>The study identified significant differences in knowledge and
practice scores based on gender, with males scoring higher than females.
This gender disparity may be attributed to differences in health
literacy, educational opportunities, and access to healthcare
information, as previously reported in studies from similar
socio-cultural contexts (26).</p>
<p>Age was also significantly associated with both knowledge and
practice, with participants in the 31–40 yr age group demonstrating the
highest scores, possibly due to greater exposure to health information
and active engagement in preventive care. Education level played a
crucial role as well, with higher education levels correlating with
better knowledge, attitudes, and practices. These findings reinforce the
impact of educational attainment on health-related behaviors and
highlight the need for tailored interventions targeting less-educated
populations. Interestingly, while longer diabetes duration was linked to
lower knowledge scores, individuals with over 20 years of diabetes
exhibited the highest practice scores. This paradox suggests that
experiential learning over time may enhance self-care behaviors, even in
the absence of formal education. However, the decline in knowledge over
time may indicate a lack of continuous health education, highlighting
the necessity for ongoing patient education programs to reinforce
awareness and prevent misinformation. Correlation analysis revealed a
positive but weak correlation between knowledge and attitude, and
between knowledge and practice. This suggests that while higher
knowledge levels contribute to better attitudes and practices, their
influence remains limited. More notably, a weak negative correlation was
observed between attitude and practice, indicating that a positive
attitude does not necessarily lead to improved preventive behaviors.
This finding aligns with previous research highlighting the
&quot;knowledge-practice gap,&quot; where individuals may understand the
importance of preventive measures but struggle to adopt them due to
various barriers (27, 28). Addressing this gap requires multifaceted
interventions, including behavior modification strategies, policy
changes, and community-based support programs to bridge the disconnect
between awareness and action.</p>
<p><italic><bold>Implications for Public Health and Future
Interventions</bold></italic></p>
<p>The findings of this study have significant public health
implications, particularly in resource-limited settings like Kabul.
Despite high awareness of general CVD risk factors, the low recognition
of symptoms, suboptimal preventive practices, and disparities related to
gender and education highlight key areas for intervention. Effective
strategies should focus on strengthening health education programs to
improve symptom recognition and facilitate early intervention.
Additionally, enhancing community-based initiatives that encourage
physical activity, healthier dietary choices, and smoking cessation is
essential. Addressing social and structural barriers, including gender
inequalities in healthcare access, is also crucial. Implementing
culturally tailored behavioral interventions can help bridge the gap
between attitude and practice. Future research should explore the
underlying barriers to behavior change, including economic,
psychological, and cultural factors, to design more effective
intervention models. Moreover, longitudinal studies would be valuable in
assessing the long-term impact of educational and policy interventions
on CVD prevention behaviors among diabetic individuals.</p>
<p><bold>Conclusion</bold></p>
<p>This study highlights significant disparities in KAP related to CVD
prevention among individuals with type 2 diabetes in Kabul. While
awareness of risk factors was relatively high, recognition of symptoms
remained low, and preventive behaviors were inconsistent. Gender, age,
education, and diabetes duration significantly influenced KAP scores,
underscoring the need for targeted health interventions. The weak
correlation between attitude and practice further emphasizes the
necessity for behavioral support programs that go beyond knowledge
dissemination to actively promote lifestyle changes. A holistic,
multi-level approach involving education, behavioral strategies, policy
changes, and community engagement is essential to improve CVD prevention
and overall health outcomes in this high-risk population.</p>
<p><bold>Acknowledgments</bold></p>
<p>The authors express their gratitude to the Kabul University of
Medical Sciences and Ministry of Public Health. No financial support was
received.</p>
<p><bold>Conflict of Interest</bold></p>
<p>The authors report no conflicts of interest in this work.</p>
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