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  <title>DSpace Community:</title>
  <link rel="alternate" href="https://hdl.handle.net/20.500.14356/1" />
  <subtitle />
  <id>https://hdl.handle.net/20.500.14356/1</id>
  <updated>2026-07-08T12:34:56Z</updated>
  <dc:date>2026-07-08T12:34:56Z</dc:date>
  <entry>
    <title>Internet addiction and its associated factors among secondary level students of Urlabari municipality, Nepal</title>
    <link rel="alternate" href="https://hdl.handle.net/20.500.14356/3042" />
    <author>
      <name>Dhungana, Dhiraj</name>
    </author>
    <id>https://hdl.handle.net/20.500.14356/3042</id>
    <updated>2026-06-22T05:45:15Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Internet addiction and its associated factors among secondary level students of Urlabari municipality, Nepal
Authors: Dhungana, Dhiraj
Abstract: SUMMARY:Introduction: The internet is currently a part of daily life, especially among teenagers who are at particular risk for problem internet use due to the undergoing development. Internet addiction has been linked with a number of adverse health effects including absence of physical exercise, sleep disturbances, musculoskeletal pain, eye strain and psychological disturbances like depression, anxiety, and stress. Generating local evidence is therefore crucial to inform interventions, awareness, and policy for safe internet use among young people. Thus, the study aims to assess the prevalence of internet addiction among school level students and also identify factors associated with it. Methodology: A cross-sectional study was conducted among 564 students from grades 11 and 12 selected through two-stage cluster sampling from six randomly chosen schools from 2025/12/21 to 2026/01/01. Data was collected using validated self-administered questionnaires, including Young’s Internet Addiction Test (IAT), Pittsburgh Sleep Quality Index (PSQI), and Depression Anxiety Stress Scale (DASS-21) for measuring internet addiction, sleep quality and depression, anxiety and stress respectively. Descriptive and Multivariable Logistic Regression analysis was used to assess prevalence and associations between internet addiction and key variables. P-value &lt;0.05 was considered statistically significant. Results: The mean age of respondents was 17.15 (SD 0.92) years. Around 57.2% of respondents were female. About 42.7% of respondents were addicted to internet. Also, 45.2% reported expressing depressive symptoms, 50.4% had anxiety and 30.3% reported stress symptoms at different severity. Around 30.5% of respondents had poor sleep quality. Multivariable logistic regression showed that being in private school (AOR 1.765 CI: 1.040-2.994), using internet for entertainment (AOR 1.941, CI: 1.201-3.135) and online gaming (AOR 2.547, CI: 1.181-5.493), poor sleep quality (AOR 2.692, CI: 1.727-4.197), anxiety (AOR 1.987, CI: 1.240-3.184) and stress (AOR 1.895, CI: 1.117-3.216) were significantly associated with internet addiction. Conclusions: The study identified several factors that were significantly associated with internet addiction, including school type, main purpose of internet use, poor sleep quality, anxiety and stress. The findings suggest that targeted education and digital awareness programs for parents, school authorities, and students, along with interventions addressing sleep quality, anxiety, stress, and excessive recreational internet use, are essential for address internet addiction.
Description: MPH</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Diagnostic accuracy of clinical decision support system (CDSSs) ORADIII and ORAD DDX in comparison to histopathological diagnosis of jaw lesions</title>
    <link rel="alternate" href="https://hdl.handle.net/20.500.14356/2761" />
    <author>
      <name>Bali, Harleen Dr.</name>
    </author>
    <id>https://hdl.handle.net/20.500.14356/2761</id>
    <updated>2025-12-07T06:44:04Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Diagnostic accuracy of clinical decision support system (CDSSs) ORADIII and ORAD DDX in comparison to histopathological diagnosis of jaw lesions
Authors: Bali, Harleen Dr.
Abstract: Abstract:&#xD;
Background: With the coming age, integration of Artificial Intelligence is seen in almost all aspects of life, even medical field especially the field of radiology. Clinical Decision Support Systems (CDSSs) like ORADIII and ORAD DDx are available to help diagnose oral intra bony lesion. However, their diagnostic validity remains to be fully established and limitations need to be explored, especially when compared to gold standard of Diagnoses i.e. histopathological diagnosis.&#xD;
Objectives: To evaluate and compare the diagnostic performance of two CDSS tools—ORADIII and ORAD DDx—against histopathological diagnosis in identifying intra-bony jaw lesions using orthopantomograms (OPGs).&#xD;
Materials and Method: A cross-sectional diagnostic accuracy study was conducted on a sample comprising both lesion and non-lesion cases based on radiographic evaluation. Diagnostic outputs from ORADIII and ORAD DDx were compared with histopathology. Key performance indicators—including sensitivity, specificity, accuracy, F1 score, Positive Predictive Value (PPV), Negative Predictive Value (NPV), and likelihood ratios (LR⁺ and LR⁻)—were calculated for both systems. Concordance, partial concordance, and discordance with histopathological diagnosis were also assessed.&#xD;
Results: Among the 350 samples evaluated, including 175 lesion-positive and 175 non-lesion cases, ORAD DDx demonstrated superior diagnostic performance compared to ORADIII. The sensitivity, specificity, accuracy, and F1 score for ORADIII were 64.57%, 60.00%, 62.29%, and 0.6314, respectively. In contrast, ORAD DDx achieved sensitivity, specificity, accuracy, and F1 score of 70.29%, 65.71%, 68.57%, and 0.6869 respectively. The positive predictive value (PPV) and negative predictive value (NPV) for ORADIII were 61.75% and 62.87%, while for ORAD DDx, these were 67.21% and 68.86%, respectively. The positive likelihood ratio (LR+) and negative likelihood ratio (LR−) were 1.614 and 0.5905 for ORADIII, compared to 2.050 and 0.4513 for ORAD DDx.&#xD;
Conclusion: In this study, ORADIII and ORAD DDx demonstrated moderate diagnostic performance when compared to the gold standard of histopathological diagnosis. ORAD DDx showed slightly higher sensitivity, specificity, and diagnostic accuracy than ORADIII, with greater concordance in identifying intra-bony jaw lesions. However, both systems provide radiographic-level diagnoses and do not replace histopathological evaluation. Their utility lies in supporting clinical decision-making, and while they show promise, further refinement and validation are needed before clinical integration as reliable diagnostic tools. &#xD;
Keywords: artificial intelligence; clinical decision support systems; jaw diseases/diagnosis; diagnostic imaging.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Depression, anxiety and stress among antenatal mothers in a tertiary level hospital of Kathmandu</title>
    <link rel="alternate" href="https://hdl.handle.net/20.500.14356/2681" />
    <author>
      <name>Maharjan, Radha</name>
    </author>
    <id>https://hdl.handle.net/20.500.14356/2681</id>
    <updated>2025-02-23T05:45:11Z</updated>
    <published>2019-01-01T00:00:00Z</published>
    <summary type="text">Title: Depression, anxiety and stress among antenatal mothers in a tertiary level hospital of Kathmandu
Authors: Maharjan, Radha
Abstract: ABSTRACT&#xD;
Background: Maternal mental illness during antenatal is known as vulnerable period. Emotional aspect of pregnant women during antenatal care remains most of the time neglected, undetected and untreated. This study aimed to assess the depression, anxiety and stress among the antenatal mothers.&#xD;
Methods: Researcher conducted Cross-Sectional Descriptive Research Design using Depression, Anxiety and Stress Scale 21 and a structured interview questionnaire. Ethical approval taken from T.U, IOM, Institutional Review Committee and NHRC funded. Data collected via interview with 244 antenatal mothers after written informed consent within four weeks, non-probability convenient method used for sampling. Anonymity, confidentiality and privacy was maintained. Data entered into EPI DATA 3.1 and exported to the statistical package for social science 22 version for further analysis. Strength of association was determined through bivariate and multivariate logistic regression.&#xD;
Results: Result showed prevalence of depression, anxiety and stress were 7.8%, 13.9% and 11.1% respectively. Primigravida more prevalence of depression, anxiety and stress 8 %, 14.4% and 12%, than multigravida. Whereas, depression, anxiety and stress were more prevalent in first trimester than second trimester and third trimester which was 9.5%, 21.4% and 21.4%. The factors strongly associated with depression was facing domestic violence (AOR=23.338 95% CI: 5.034-108.199). The factors strongly associated with anxiety were facing domestic violence (AOR=21.975 95% CI: 5.826-82.882) and unable to take balance diet on daily basis were (AOR=3.420 95% CI: 1.362-8.588). The factors strongly associated with stress was facing domestic violence (AOR=67.106 95% CI: 14.439-311.883). &#xD;
Conclusions: Even though high prevalence of stress and anxiety were seen among antenatal mothers than depression, Depression is an alarming sign during pregnancy. Hence early detection and treatment is most crucial. Therefore, at least one routine mental and psychological screening test should be recommended as a part of routine antenatal check- up to promote maternal and child health in Nepal.&#xD;
Key Words: Antenatal mothers, Anxiety, Depression, Stress.
Description: Thesis Report</summary>
    <dc:date>2019-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Nutritional status and its associated factors among pregnant women in Janakpurdham Sub-Metropolitan</title>
    <link rel="alternate" href="https://hdl.handle.net/20.500.14356/2668" />
    <author>
      <name>Mandal, Gauree Shankar</name>
    </author>
    <id>https://hdl.handle.net/20.500.14356/2668</id>
    <updated>2025-01-10T09:45:10Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Title: Nutritional status and its associated factors among pregnant women in Janakpurdham Sub-Metropolitan
Authors: Mandal, Gauree Shankar
Abstract: Introduction: The nutritional health of pregnant women is a crucial factor that impacts the health outcomes of both the mother and child. A nutrient-rich diet during pregnancy is a must for their nutritional well-being. However, several individuals, family, and community level factors influencing the intake of a nutrient-rich diet are worse in Nepal, particularly in the Madhesh province. This study aimed to test the association of household food security, women empowerment, and other underlying factors with the nutrition status of pregnant women. Methods: This was a community-based cross-sectional study carried out among 435 pregnant women of Janakpurdham, selected using multistage cluster sampling with probability proportionate to size method. The nutrition status was measured using MUAC tape. Pre-validated standard tools were deployed to measure diet quality, household food security, and women empowerment. The Nepalese Food Composition Table 2017 and the Indian Food Composition Table 2017 were referenced to compute the nutrient value in the recipe consumed. Data were collected using face-to-face interviews. The data were processed and analyzed in IBM SPSS. Logistic regression was carried out to evaluate the association between variables. Results: Around one-third (31.7%) of pregnant were undernourished based on MUAC. Pregnant women’s food insecurity in their households and gender-based food-eating preference orders in their families were significant predictors of their undernutrition. Only 12% of pregnant women were able to meet their recommended diet quality, with only 14.0%, 23.9%, and 13.8% meeting iron, calcium and folate intake of the daily recommended amount respectively. Conclusion: The findings indicate that undernutrition is a significant concern among pregnant women. Both food consumption behaviour and household food security could be reasons behind poor diet quality. Hence, targeted nutrition-specific and sensitive intervention programs toward food security and a blanket approach to comprehensive nutrition education are recommended to improve diet quality. Keywords: maternal nutrition, predictors, women empowerment, household food security, diet quality
Description: Thesis Report.</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
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