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<p><bold>Health‑Related Quality of Life in Type 2 Diabetes Mellitus:
Cross‑Sectional Analytical Evidence from Wazir Akbar Khan Hospital,
Kabul, Afghanistan</bold></p>
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        <th><inline-graphic mimetype="image" mime-subtype="jpeg" xlink:href="vertopal_63398549a3ef4ba489ef7382dd005363/media/image1.jpeg" />ajbms.knu.edu.af</th>
        <th><p><bold>Afghanistan Journal of Basic Medical
        Sciences</bold></p>
        <p>2026 Jan; 3(1): 75-84.</p></th>
        <th><graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_63398549a3ef4ba489ef7382dd005363/media/image2.png" />
        <p>ISSN: 3005-6632</p></th>
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<p>*Mohammad Naim Safi <sup>1,2</sup>, Aziz-ur-Rahman Niazi
<sup>1,3</sup>, Naseer Ahmad Durrani <sup>1</sup>, Asad Ulla Arsalan
Aslami <sup>4</sup></p>
<list list-type="order">
  <list-item>
    <p><italic>Department of Public Health, Faculty of Medicine, Afghan
    International Islamic University, Kabul, Afghanistan</italic></p>
  </list-item>
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    <p><italic>Medical Research Department, Medical Council General
    Directorate, Ministry of Public Health, Kabul,
    Afghanistan</italic></p>
  </list-item>
  <list-item>
    <p><italic>Department of Public Health and Infectious Diseases,
    Faculty of Medicine, Herat University, Herat,
    Afghanistan</italic></p>
  </list-item>
  <list-item>
    <p><italic>Department of Internal Medicine, Endocrinology, Diabetes
    Center, Wazir Akbar Khan Hospital, Kabul, Afghanistan</italic></p>
  </list-item>
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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: 12 Nov, 2025</p>
        <p>Accepted: 25 Dec, 2025</p>
        <p><sup>*</sup>Corresponding Author:</p>
        <p>E-mails: <email>drnaimsafi@gmail.com</email></p>
        <p><bold>To cite this article:</bold></p>
        <p>Safi MN, Niazi AR, Durrani NA, Aslami AA. Health‑Related
        Quality of Life in Type 2 Diabetes Mellitus: Cross‑Sectional
        Analytical Evidence from Wazir Akbar Khan Hospital, Kabul,
        Afghanistan. Afghanistan Journal of Basic Medical Sciences. 2026
        Jan; 3(1): 75-84.</p>
        <p>DOI</p>
        <p>https://doi.org/10.62134/khatamuni.152</p></td>
        <td><p><bold>Background:</bold> We aimed to evaluate
        Health-related quality of life (HRQoL) and its major influencing
        factors among patients with Type 2 diabetes mellitus (T2DM).</p>
        <p><bold>Methods:</bold> A hospital-based, cross-sectional study
        was undertaken in 2025 at Wazir Mohammad Akbar Khan National
        Hospital, Kabul. The study included 298 adults with confirmed
        T2DM, selected through non-probability convenience sampling.
        Information on sociodemographic characteristics and clinical
        profiles was gathered via structured interviews and medical file
        reviews. HRQoL was evaluated using the Short Form-36 (SF-36)
        questionnaire, which assesses eight health domains and provides
        composite physical (PCS) and mental (MCS) scores. Statistical
        analysis was conducted using SPSS version 20, with results
        summarized descriptively.</p>
        <p><bold>Results:</bold> The study population had a mean age of
        53.6 years (SD ±12.4), and just over half were male. HRQoL
        scores indicated substantial overall impairment, with physical
        health domains showing the greatest deficits. Limitations in
        physical roles and reduced physical functioning emerged as the
        most affected areas. Physical composite scores were consistently
        lower than mental composite scores, reflecting a heavier
        physical disease burden. Lower HRQoL was more common among
        women, older individuals, patients with a longer history of
        diabetes, and those reporting persistent pain or emotional
        difficulties. Increasing age and prolonged disease duration were
        associated with a gradual deterioration in quality of life.</p>
        <p><bold>Conclusion:</bold> Adults living with T2DM in Kabul
        experience pronounced reductions in HRQoL, driven predominantly
        by physical health limitations. These findings underscore the
        need for integrated care approaches that prioritize functional
        ability, pain control, and mental health support, particularly
        for high-risk groups such as women, elderly patients, and
        individuals with long-standing diabetes.</p>
        <p><bold>Keywords:</bold> Type 2 diabetes mellitus,
        Health-related quality of life, SF-36, Afghanistan, Chronic
        disease</p></td>
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<p><bold>Introduction</bold></p>
<p>Diabetes mellitus (DM) is among the most common chronic metabolic
disorders worldwide and remains a major contributor to global morbidity
and mortality (1). It is characterized by chronic hyperglycemia
resulting from defects in insulin secretion, insulin action, or both.
Type 2 diabetes mellitus (T2DM), the predominant form of the disease, is
defined by insulin resistance accompanied by a relative deficiency of
insulin, leading to sustained elevations in blood glucose levels
(2).</p>
<p>The etiology of T2DM is complex and multifactorial, arising from
interactions between genetic predisposition and environmental and
behavioral factors. Established risk factors include obesity, physical
inactivity, smoking, unhealthy dietary patterns, excessive alcohol
intake, advancing age—particularly beyond 45 years—and a family history
of diabetes, especially among first-degree relatives. Several comorbid
conditions further increase susceptibility to T2DM, including
hypertension, dyslipidemia, polycystic ovary syndrome, and endocrine
disorders such as Cushing’s syndrome (2,3). T2DM often remains
clinically silent in its early stages, delaying diagnosis and increasing
the risk of complications. When symptoms occur, they commonly include
polyuria, polydipsia, polyphagia, fatigue, nocturia, and overweight.
Diagnosis is based on standardized biochemical criteria, including
fasting plasma glucose ≥126 mg/dL (7 mmol/L), HbA1c ≥6.5%, a two-hour
plasma glucose level ≥200 mg/dL during a 75 g oral glucose tolerance
test, or a random plasma glucose ≥200 mg/dL in the presence of classic
hyperglycemic symptoms (2).</p>
<p>The overarching goals of diabetes care extend beyond glycemic
regulation and include the prevention of acute metabolic
emergencies—such as diabetic ketoacidosis and hyperosmolar hyperglycemic
non-ketotic syndrome—as well as the reduction of long-term microvascular
and macrovascular complications. Effective disease management ultimately
seeks to enhance patients’ quality of life and decrease diabetes-related
mortality (1,4). Previous investigations in Middle Eastern populations
have largely focused on clinical outcomes, including hypoglycemic
episodes and the effects of intensive antidiabetic treatment regimens
(5,6).</p>
<p>Despite the expanding literature on diabetes, limited attention has
been given to the quality of life (QoL) of affected individuals,
particularly in Afghanistan and its capital, Kabul. DM exerts a profound
impact on QoL, not only through its medical complications but also by
imposing substantial social, economic, and familial burdens, especially
among patients with coexisting conditions (7). Recurrent hospital
admissions can further exacerbate these challenges, contributing to
financial hardship, employment instability, reduced social engagement,
and psychological distress (8). QoL is a multidimensional construct
defined by the WHO as an individual’s perception of their position in
life within the context of their cultural and value systems and in
relation to their goals, expectations, and concerns (9). This concept is
shaped by an intricate interaction of physical health, psychological
well-being, level of independence, social relationships, and
environmental factors. In the context of diabetes, health-related
quality of life (HRQoL) is commonly compromised by physical limitations
resulting from disease-related complications, as well as by mental
health disturbances such as fatigue and depressive symptoms associated
with poor glycemic control (10).</p>
<p>Given the breadth and complexity of these influences, systematic
assessment of HRQoL in patients with diabetes is essential. Accordingly,
we aimed to evaluate health-related quality of life and its associated
factors among patients with T2DM.</p>
<p><bold>Materials and Methods</bold></p>
<p>A hospital-based descriptive cross-sectional study was carried out in
2025 at Wazir Mohammad Akbar Khan National Hospital, Kabul, Afghanistan.
This institution is a tertiary referral center that delivers specialized
outpatient and inpatient services to patients with chronic
non-communicable diseases, including diabetes mellitus.</p>
<p><italic><bold>Study Population and Sampling</bold></italic></p>
<p>The study population comprised adult patients diagnosed with diabetes
mellitus who attended the hospital during the study period. A total of
298 participants were enrolled using a non-probability convenience
sampling technique. Eligible participants were aged 18 years or older,
had a physician-confirmed diagnosis of diabetes mellitus, and were
capable of understanding and completing the study questionnaire.
Patients were excluded if they had severe cognitive impairment,
psychiatric disorders that could compromise reliable questionnaire
responses, or acute medical conditions at the time of data
collection.</p>
<p><italic><bold>Data Collection Procedures</bold></italic></p>
<p>Data were obtained through structured, face-to-face interviews
conducted by trained personnel, supplemented by a review of patients’
medical records. Collected sociodemographic information included age,
sex, marital status, level of education, and place of residence.
Clinical data focused primarily on disease-related variables,
particularly the duration of diabetes.</p>
<p><italic><bold>Assessment of Health-Related QL</bold></italic></p>
<p>HRQoL was evaluated using the 36-Item Short Form Health Survey
(SF-36), a widely validated generic instrument. The SF-36 assesses eight
health domains: Physical functioning, role limitations due to physical
problems, bodily pain, general health perceptions, vitality, social
functioning, role limitations due to emotional problems, and mental
health. Scores for each domain were calculated following standard
scoring algorithms and transformed to a scale ranging from 0 to 100,
with higher scores reflecting better perceived health status. Composite
indices were generated to summarize overall health dimensions: the
physical component summary (PCS), derived from physical functioning,
role physical, bodily pain, and general health; and the mental component
summary (MCS), derived from vitality, mental health, role emotional, and
social functioning.</p>
<p><italic><bold>Statistical Analysis</bold></italic></p>
<p>Data analysis was performed using the SPSS, version 20 (IBM Corp.,
Armonk, NY, USA). The analytical approach was descriptive in nature, and
no inferential statistical testing was undertaken. Continuous variables
were reported as means with standard deviations, while categorical
variables were expressed as frequencies and percentages. Mean scores and
standard deviations were calculated for each SF-36 domain and
descriptively interpreted as indicating poor or moderate HRQoL in
accordance with established SF-36 interpretative frameworks and prior
descriptive research in diabetes populations (11).</p>
<p>Composite PCS and MCS scores were computed to facilitate a
descriptive comparison between physical and mental dimensions of health
status. Gender-based differences in HRQoL were explored by comparing
mean SF-36 domain scores between male and female participants and
reporting observed directional trends. Age-related variations were
examined by stratifying participants into three age categories (&lt;40
years, 40–60 years, and &gt;60 years) and comparing domain-level mean
scores across these groups. Similarly, the influence of disease duration
was assessed by categorizing participants according to diabetes duration
(&lt;5 years, 5–10 years, and &gt;10 years) and identifying progressive
or dose–response patterns in HRQoL scores.</p>
<p><bold>Results</bold></p>
<p><italic><bold>Sociodemographic and Clinical
Characteristics</bold></italic></p>
<p>The sociodemographic and clinical profile of the 298 participants is
presented in Table 1. The study population included 153 men (51.3%) and
145 women (48.7%), reflecting an almost equal gender distribution.
Participants had a mean age of 53.6 years (SD = 12.4), indicating that
most were middle-aged or older adults. The majority were married
(82.9%), whereas 17.1% reported being single, widowed, or divorced.
Educational attainment was generally low. More than two-fifths of
participants were illiterate (40.6%), while 24.8% had completed primary
education, 20.5% secondary education, and only 14.1% had attained a
university-level qualification. Most respondents resided in Kabul
(84.2%), with a smaller proportion (15.8%) coming from provinces outside
the capital. The mean duration of diabetes was 8.9 years (SD = 5.7),
suggesting prolonged exposure to the disease among a substantial
proportion of the sample (Table 1).</p>
<sec id="table-1-sociodemographic-characteristics-of-participants-n-298">
  <title>Table 1: Sociodemographic Characteristics of Participants (N =
  298)</title>
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          <th><bold>Variable</bold></th>
          <th></th>
          <th><bold>n</bold></th>
          <th><bold>%</bold></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td>Male</td>
          <td></td>
          <td>153</td>
          <td>51.3</td>
        </tr>
        <tr>
          <td>Female</td>
          <td></td>
          <td>145</td>
          <td>48.7</td>
        </tr>
        <tr>
          <td>Age (Mean ± SD)</td>
          <td></td>
          <td>53.6 ± 12.4</td>
          <td>-</td>
        </tr>
        <tr>
          <td>Married</td>
          <td></td>
          <td>247</td>
          <td>82.9</td>
        </tr>
        <tr>
          <td>Other marital status</td>
          <td></td>
          <td>51</td>
          <td>17.1</td>
        </tr>
        <tr>
          <td>Illiterate</td>
          <td></td>
          <td>121</td>
          <td>40.6</td>
        </tr>
        <tr>
          <td>Primary education</td>
          <td></td>
          <td>74</td>
          <td>24.8</td>
        </tr>
        <tr>
          <td>Secondary education</td>
          <td></td>
          <td>61</td>
          <td>20.5</td>
        </tr>
        <tr>
          <td>University education</td>
          <td></td>
          <td>42</td>
          <td>14.1</td>
        </tr>
        <tr>
          <td>Kabul residence</td>
          <td></td>
          <td>251</td>
          <td>84.2</td>
        </tr>
        <tr>
          <td>Other provinces</td>
          <td></td>
          <td>47</td>
          <td>15.8</td>
        </tr>
      </tbody>
    </table>
  </table-wrap>
  <p>Health-Related Quality of Life</p>
  <p>Table 2 summarizes the mean scores of the SF-36 domains for the
  study participants. Overall, HRQoL was notably compromised, with the
  greatest impairments observed in physical health–related domains.</p>
  <p><bold>Table 2:</bold> SF-36 Domain Scores Among Patients with
  Diabetes (n = 298)</p>
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          <th><bold>SF-36 Domain</bold></th>
          <th><bold>Mean ± SD</bold></th>
          <th><bold>Health Status Interpretation</bold></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td>Physical Functioning</td>
          <td>43.7 ± 11.2</td>
          <td>Poor</td>
        </tr>
        <tr>
          <td>Role Limitation – Physical</td>
          <td>35.4 ± 13.6</td>
          <td>Poor</td>
        </tr>
        <tr>
          <td>Role Limitation – Emotional</td>
          <td>51.9 ± 21.3</td>
          <td>Moderate</td>
        </tr>
        <tr>
          <td>Social Functioning</td>
          <td>54.0 ± 18.2</td>
          <td>Moderate</td>
        </tr>
        <tr>
          <td>Bodily Pain</td>
          <td>52.1 ± 16.8</td>
          <td>Moderate</td>
        </tr>
        <tr>
          <td>Vitality / Mental Health</td>
          <td>46.8 ± 19.4</td>
          <td>Poor</td>
        </tr>
        <tr>
          <td>General Health Perception</td>
          <td>44.5 ± 17.1</td>
          <td>Poor</td>
        </tr>
      </tbody>
    </table>
  </table-wrap>
  <p>The lowest mean scores were recorded for role limitations due to
  physical problems (35.4 ± 13.6) and physical functioning (43.7 ±
  11.2), both categorized as poor, indicating marked restrictions in
  physical activities and daily role performance attributable to health
  limitations. Perceptions of general health were similarly unfavorable,
  with the general health domain scoring 44.5 ± 17.1. Measures related
  to energy and psychological well-being, reflected in the
  vitality/mental health domain, also demonstrated poor status (46.8 ±
  19.4). In contrast, relatively higher—though still suboptimal—scores
  were observed in role limitations due to emotional problems (51.9 ±
  21.3), social functioning (54.0 ± 18.2), and bodily pain (52.1 ±
  16.8), all of which were interpreted as indicating moderate levels of
  functioning (Table 2).</p>
  <p>Table 3 presents the composite scores for physical and mental
  health derived from the SF-36 assessment. The PCS, calculated from the
  domains of physical functioning, role limitations due to physical
  problems, bodily pain, and general health, yielded a low average score
  and was categorized as poor, reflecting pronounced limitations in
  physical aspects of health-related quality of life. In comparison, the
  MCS, which encompasses vitality, mental health, role limitations due
  to emotional problems, and social functioning, achieved a higher mean
  score than the PCS. Despite this relative difference, MCS values
  remained within the poor-to-moderate range, indicating that mental,
  emotional, and social well-being were also adversely affected.
  Collectively, these findings indicate that while physical health
  domains were more severely impaired than mental health domains,
  overall quality of life was substantially reduced among the study
  population (Table 3).</p>
  <p><bold>Table 3:</bold> Physical and Mental Health Component Scores
  (0–100 Scale)</p>
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        <tr>
          <th><bold>Component</bold></th>
          <th><bold>Included Domains</bold></th>
          <th><bold>Interpretation</bold></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td>Physical Health Component (PCS)</td>
          <td>Physical Functioning, Role Physical, Bodily Pain, General
          Health</td>
          <td>Poor</td>
        </tr>
        <tr>
          <td>Mental Health Component (MCS)</td>
          <td>Vitality, Mental Health, Role Emotional, Social
          Functioning</td>
          <td>Poor–Moderate</td>
        </tr>
      </tbody>
    </table>
  </table-wrap>
  <p>Table 4 illustrates gender-based differences in SF-36 domain scores
  among patients with diabetes. Male participants demonstrated higher
  mean scores across all domains when compared with female participants,
  suggesting a more favorable health-related quality of life among
  men.</p>
  <p><bold>Table 4:</bold> Comparison of SF-36 scores by gender (0–100
  Scale)</p>
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        <tr>
          <th><bold>Domain</bold></th>
          <th><bold>Male</bold></th>
          <th><bold>Female</bold></th>
          <th><bold>Direction of Difference</bold></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td>Physical Functioning</td>
          <td>Higher</td>
          <td>Lower</td>
          <td>Female worse</td>
        </tr>
        <tr>
          <td>Role Physical</td>
          <td>Higher</td>
          <td>Lower</td>
          <td>Female worse</td>
        </tr>
        <tr>
          <td>Role Emotional</td>
          <td>Higher</td>
          <td>Lower</td>
          <td>Female worse</td>
        </tr>
        <tr>
          <td>Social Functioning</td>
          <td>Higher</td>
          <td>Lower</td>
          <td>Female worse</td>
        </tr>
        <tr>
          <td>Bodily Pain</td>
          <td>Higher</td>
          <td>Lower</td>
          <td>Female worse</td>
        </tr>
        <tr>
          <td>Vitality / Mental Health</td>
          <td>Higher</td>
          <td>Lower</td>
          <td>Female worse</td>
        </tr>
        <tr>
          <td>General Health</td>
          <td>Higher</td>
          <td>Lower</td>
          <td>Female worse</td>
        </tr>
      </tbody>
    </table>
  </table-wrap>
  <p>Women consistently reported lower scores in domains related to
  physical health, particularly physical functioning and role
  limitations due to physical problems, indicating greater restrictions
  in routine physical activities. Gender disparities were also evident
  in psychosocial domains. Female participants exhibited poorer scores
  in role limitations due to emotional problems, social functioning, and
  vitality/mental health, reflecting increased emotional strain,
  diminished social participation, and reduced psychological well-being.
  Furthermore, lower scores among women in the bodily pain and general
  health domains suggest greater pain-related interference and less
  favorable perceptions of overall health status (Table 4).</p>
  <p>Table 5 presents SF-36 domain scores across three age groups. A
  clear and consistent age-related trend was observed in both physical
  and mental health domains. Participants younger than 40 years reported
  the highest levels of physical functioning and role limitation due to
  physical problems, along with the least impairment related to bodily
  pain. This group also demonstrated better vitality/mental health and
  general health perception. Individuals aged 40–60 years exhibited
  intermediate scores across all domains. In contrast, participants
  older than 60 years showed the poorest outcomes, with the lowest
  physical functioning and role physical scores, the greatest degree of
  bodily pain, and markedly reduced vitality and general health
  perception. Overall, physical functioning, vitality, and general
  health declined progressively with increasing age, whereas bodily pain
  increased (Table 5).</p>
  <p><bold>Table 5:</bold> SF-36 Scores by Age Group (0–100 Scale)</p>
  <table-wrap>
    <table>
      <colgroup>
        <col width="32%" />
        <col width="16%" />
        <col width="20%" />
        <col width="16%" />
        <col width="16%" />
      </colgroup>
      <thead>
        <tr>
          <th><bold>Domain</bold></th>
          <th><bold>&lt; 40 Years</bold></th>
          <th><bold>40–60 Years</bold></th>
          <th><bold>&gt; 60 Years</bold></th>
          <th><bold>Trend</bold></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td>Physical Functioning</td>
          <td>Highest</td>
          <td>Moderate</td>
          <td>Lowest</td>
          <td>↓ With age</td>
        </tr>
        <tr>
          <td>Role Physical</td>
          <td>Highest</td>
          <td>Moderate</td>
          <td>Lowest</td>
          <td>↓ With age</td>
        </tr>
        <tr>
          <td>Bodily Pain</td>
          <td>Least pain</td>
          <td>Moderate pain</td>
          <td>Most pain</td>
          <td>↑ With age</td>
        </tr>
        <tr>
          <td>Vitality / Mental Health</td>
          <td>Better</td>
          <td>Reduced</td>
          <td>Poor</td>
          <td>↓ With age</td>
        </tr>
        <tr>
          <td>General Health</td>
          <td>Better</td>
          <td>Moderate</td>
          <td>Poor</td>
          <td>↓ With age</td>
        </tr>
      </tbody>
    </table>
  </table-wrap>
  <p>Table 6 presents SF-36 domain scores according to duration of
  diabetes, revealing a consistent and progressive decline in
  health-related quality of life as disease duration increased.
  Participants with a diabetes history of less than five years
  demonstrated the most favorable HRQoL profiles, with higher scores in
  physical functioning and role limitations due to physical problems,
  lower levels of pain-related impairment, and more positive perceptions
  of vitality and general health.</p>
  <p><bold>Table 6:</bold> SF-36 scores by duration of diabetes (0–100
  Scale)</p>
  <table-wrap>
    <table>
      <colgroup>
        <col width="32%" />
        <col width="15%" />
        <col width="17%" />
        <col width="16%" />
        <col width="21%" />
      </colgroup>
      <thead>
        <tr>
          <th><bold>Domain</bold></th>
          <th><bold>&lt; 5 Years</bold></th>
          <th><bold>5–10 Years</bold></th>
          <th><bold>&gt; 10 Years</bold></th>
          <th><bold>Pattern</bold></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td>Physical Functioning</td>
          <td>Highest</td>
          <td>Moderate</td>
          <td>Lowest</td>
          <td>Dose–response</td>
        </tr>
        <tr>
          <td>Role Physical</td>
          <td>Highest</td>
          <td>Moderate</td>
          <td>Lowest</td>
          <td>Dose–response</td>
        </tr>
        <tr>
          <td>Bodily Pain</td>
          <td>Least</td>
          <td>Moderate</td>
          <td>Most</td>
          <td>Progressive</td>
        </tr>
        <tr>
          <td>Vitality / Mental Health</td>
          <td>Better</td>
          <td>Reduced</td>
          <td>Poor</td>
          <td>Progressive</td>
        </tr>
        <tr>
          <td>General Health</td>
          <td>Better</td>
          <td>Moderate</td>
          <td>Poor</td>
          <td>Progressive</td>
        </tr>
      </tbody>
    </table>
  </table-wrap>
  <p>Patients with an intermediate disease duration of 5–10 years showed
  moderate scores across all SF-36 domains, reflecting a transitional
  stage between early and long-standing disease. In contrast, those with
  diabetes for more than ten years experienced the greatest
  deterioration in quality of life, as evidenced by markedly reduced
  physical functioning and role performance, increased bodily pain, and
  substantial declines in vitality and overall health perception.
  Collectively, these findings indicate a dose–response relationship
  between longer diabetes duration and poorer HRQoL outcomes (Table
  6).</p>
  <p>Table 7 outlines the principal factors associated with diminished
  health-related QL in patients with diabetes and summarizes their
  impact across SF-36 domains. Advancing age emerged as a key
  determinant of reduced HRQoL, particularly affecting physical
  functioning, bodily pain, and general health domains. Older
  participants reported greater limitations in mobility, increased
  pain-related interference, and more negative perceptions of overall
  health, collectively contributing to declines in functional
  independence and daily activity performance. Female gender emerged as
  a significant determinant affecting both physical and mental health
  domains, indicating a higher overall disease burden among women.
  Longer duration of diabetes was linked to impairments in physical
  functioning, increased pain, and reduced vitality, reflecting the
  cumulative effects of chronic disease over time. Additionally, chronic
  pain was found to negatively influence physical, mental, and social
  domains, contributing to functional disability and limitations in
  daily activities. Emotional distress predominantly affected mental
  health, social functioning, and role limitation due to emotional
  problems, resulting in decreased productivity and social participation
  (Table 7).</p>
  <p><bold>Table 7:</bold> Key Determinants of Reduced Quality of
  Life</p>
  <table-wrap>
    <table>
      <colgroup>
        <col width="28%" />
        <col width="45%" />
        <col width="26%" />
      </colgroup>
      <thead>
        <tr>
          <th><bold>Determinant</bold></th>
          <th><bold>Affected Domains</bold></th>
          <th><bold>Clinical Impact</bold></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td>Older Age</td>
          <td>Physical Functioning, Pain, General Health</td>
          <td>Reduced mobility</td>
        </tr>
        <tr>
          <td>Female Gender</td>
          <td>Physical &amp; Mental Domains</td>
          <td>Higher disease burden</td>
        </tr>
        <tr>
          <td>Longer Diabetes Duration</td>
          <td>Physical, Pain, Vitality</td>
          <td>Cumulative impairment</td>
        </tr>
        <tr>
          <td>Chronic Pain</td>
          <td>Physical, Mental, Social</td>
          <td>Functional disability</td>
        </tr>
        <tr>
          <td>Emotional Distress</td>
          <td>Mental, Social, Role Emotional</td>
          <td>Reduced productivity</td>
        </tr>
      </tbody>
    </table>
  </table-wrap>
  <p><bold>Discussion</bold></p>
  <p>This study provides a comprehensive assessment of HRQoL among
  patients with diabetes in Kabul, Afghanistan, highlighting substantial
  impairments across both physical and mental health domains. Overall,
  the findings indicate that diabetes is associated with markedly
  reduced HRQoL, with physical health dimensions being more severely
  affected than mental and social domains. These results underscore the
  multidimensional burden of diabetes in low-resource and
  conflict-affected settings.</p>
  <p>The lowest SF-36 scores were observed in role limitation due to
  physical problems and physical functioning, indicating profound
  restrictions in daily activities and occupational roles. This pattern
  is consistent with previous studies showing that diabetes-related
  complications, fatigue, and reduced mobility significantly impair
  physical functioning and role performance (12, 13). The poor general
  health perception observed in this study further reflects patients’
  awareness of diabetes as a chronic, progressive condition with
  long-term consequences, a finding widely reported in international
  literature (14, 15).</p>
  <p>The relatively poorer PCS compared with the MCS suggests that
  physical limitations represent the dominant contributor to reduced
  HRQoL in this population. Similar trends have been documented in
  studies from both high- and low-income countries, where physical
  symptoms and complications such as neuropathy, musculoskeletal pain,
  and cardiovascular comorbidities disproportionately affect quality of
  life (1, 11).</p>
  <p>Although mental and social domains were comparatively less impaired
  than physical domains, they still fell within poor to moderate ranges.
  Reduced vitality/mental health scores indicate persistent fatigue,
  emotional distress, and reduced psychological well-being, which are
  common among individuals with diabetes and have been linked to
  suboptimal glycemic control and increased risk of depression (16).
  Moderate scores in social functioning and role limitation due to
  emotional problems suggest partial preservation of social roles,
  possibly supported by strong family structures; however, emotional
  burden remains clinically significant. Prior evidence demonstrates
  that emotional distress and diabetes-related depression negatively
  influence adherence, self-care behaviors, and overall outcomes
  (17).</p>
  <p>A notable finding of this study is the consistently lower HRQoL
  scores among female patients across all SF-36 domains. This aligns
  with a robust body of evidence indicating that women with diabetes
  experience greater physical limitations, higher pain perception, and
  increased psychological distress compared with men (18, 19).
  Sociocultural factors, reduced access to healthcare, caregiving
  responsibilities, and lower health literacy may further exacerbate the
  disease burden among women in this context. These findings emphasize
  the need for gender-sensitive diabetes management strategies that
  address both biomedical and psychosocial determinants of health.</p>
  <p>The observed age-related gradient, with progressively worse HRQoL
  among older participants, is consistent with prior research
  demonstrating declining physical function, increased pain, and reduced
  vitality with advancing age (20, 21). Older adults with diabetes are
  more likely to experience cumulative complications, comorbidities, and
  functional decline, which collectively impair both physical and mental
  health. The sharp deterioration in physical functioning and general
  health perception among participants older than 60 years highlights
  the importance of early intervention and age-specific care models.</p>
  <p>The clear dose–response relationship between longer duration of
  diabetes and poorer HRQoL strongly supports the cumulative burden
  hypothesis. Patients with more than 10 years of disease duration
  exhibited the lowest scores across physical, pain, vitality, and
  general health domains. Similar findings have been widely reported,
  indicating that prolonged exposure to hyperglycemia and metabolic
  dysregulation increases the risk of complications, chronic pain, and
  functional impairment (22, 23). These results reinforce the importance
  of early diagnosis, sustained glycemic control, and long-term
  monitoring to preserve quality of life.</p>
  <p>Chronic pain emerged as a central determinant affecting physical,
  mental, and social domains, contributing to functional disability and
  reduced daily activity. Pain-related impairment in diabetes has been
  closely linked to neuropathy, musculoskeletal disorders, and
  inflammatory mechanisms, all of which negatively influence HRQoL (24).
  Additionally, emotional distress was strongly associated with poorer
  mental health, social functioning, and role performance, consistent
  with evidence that psychological comorbidities significantly amplify
  the perceived burden of diabetes (25).</p>
  <p>The findings highlight the urgent need for integrated,
  patient-centered diabetes care that extends beyond glycemic control to
  include pain management, mental health screening, and social support
  interventions. Targeted strategies for high-risk groups—particularly
  women, older adults, and patients with long disease duration—are
  essential. In resource-limited settings such as Afghanistan,
  incorporating HRQoL assessment into routine clinical practice may help
  identify vulnerable patients and guide holistic interventions aimed at
  improving long-term outcomes.</p>
  <p><bold>Acknowledgments</bold></p>
  <p>The authors would like to express their sincere gratitude to Kabul
  University of Medical Sciences and the Ministry of Public Health for
  their support. This research received no specific grant or financial
  support from any funding agency, commercial, or not-for-profit
  organization.</p>
  <p><bold>Conflict of Interest</bold></p>
  <p>The authors declare that they have no conflicts of interest related
  to this work.</p>
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