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<title>Biomedical Science</title>
<link>https://repository.ju.edu.et//handle/123456789/171</link>
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<rdf:li rdf:resource="https://repository.ju.edu.et//handle/123456789/10118"/>
<rdf:li rdf:resource="https://repository.ju.edu.et//handle/123456789/9914"/>
<rdf:li rdf:resource="https://repository.ju.edu.et//handle/123456789/9574"/>
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<dc:date>2026-04-05T12:07:49Z</dc:date>
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<item rdf:about="https://repository.ju.edu.et//handle/123456789/10118">
<title>Rheumatic heart disease in Southwestern Ethiopia: Burden, Severity and Self Management Education Effectiveness</title>
<link>https://repository.ju.edu.et//handle/123456789/10118</link>
<description>Rheumatic heart disease in Southwestern Ethiopia: Burden, Severity and Self Management Education Effectiveness
Hiwot Berhanu Meshesha; Andualem Mossie; Morankar Sudhakar
Background: Rheumatic heart disease (RHD) is a long-term complication that arises from a &#13;
systemic, inflammatory, and autoimmune reaction triggered by Group A Streptococcus bacteria. &#13;
RHD causes impairment of one or more heart valves, resulting in significant structural and &#13;
hemodynamic abnormalities. According to the estimated data from the Global Burden of &#13;
Disease, RHD has impacted over 40.5 million individuals and resulted in approximately &#13;
1,100,000 cases of heart failure as well as 320,000 deaths annually. Despite RHD being the &#13;
leading cause of cardiovascular disease in Ethiopia, the country lacks established policies, &#13;
guidelines, or programs aimed at reducing the morbidity and mortality associated with this &#13;
preventable condition. Ethiopia, a nation heavily affected by RHD, experiences a significant &#13;
burden from the disease. However, the full extent of this burden and its underlying determinants &#13;
has not been adequately studied. In addition, there is a lack of research and evidence regarding &#13;
educational interventions that could potentially improve clinical outcomes for patients with RHD &#13;
in Ethiopia's existing health care system. &#13;
Objectives: To determine the  prevalence, severity and determinants of rheumatic heart disease, &#13;
as well as to investigate the effectiveness of chronic disease self-management education among &#13;
patients with RHD in Southwestern Ethiopia, Jimma Medical Centre. &#13;
Methods: This study utilized systematic review and meta-analysis, cross-sectional and quasi&#13;
experimental study designs. Data collection was done using structured questionnaires containing &#13;
both open- and closed-ended questions. Data were gathered through interviews and reviews of &#13;
patient’s medical records. Study participants were recruited from a purposively selected hospital &#13;
at Jimma Medical Center in Southwest Ethiopia based on caseloads. Data collectors were &#13;
trained nurses from cardiac clinics. For the systematic review and meta-analysis, various &#13;
databases such as PubMed/Medline, Scopus, HINARI, and Google Scholar were searched for &#13;
peer-reviewed articles. The pooled prevalence of RHD in Ethiopia was calculated using a &#13;
random-effects model at a 95% confidence interval (CI), taking into account the weight of each &#13;
study. Statistical meta-analysis was conducted using STATA Version 16.0 software to determine &#13;
the pooled prevalence of RHD.  &#13;
Descriptive statistics for frequency, means and standard deviations were used to summarize the &#13;
dependent and independent variables. Bivariable and multivariable logistic regressions were &#13;
conducted to determine the association between the dependent and independent variables. &#13;
Variables with a p-value of ≤ 0.25 on bivariable analysis were then entered into multiple logistic &#13;
regressions to control confounders. Finally, variables with a p-value of &lt; 0.05 on multivariable &#13;
regression were considered as determinants of RHD. Model fitness was assessed with the &#13;
Hosmer-Lemeshow test. Adjusted Odds ratios with a 95% CI were used to indicate the degree of &#13;
association between the dependent and independent variables.  &#13;
For the echocardiographic study, 115 patients were recruited and evaluated by two cardiologists &#13;
following the recommendations established by the American Society of Echocardiography. The &#13;
data were entered into Epidata 3.1, and then transferred to SPSS Version 25.0 for analysis. The &#13;
Kolmogorov-Smirnov test was used to evaluate the normality of variables and revealed that the &#13;
data were normally distributed. The outputs of the analysis were then summarized by &#13;
categorizing and presenting the data using counts, percentages, and standard deviations. A Chi&#13;
square test was utilized to compare the proportions of categorical variables, evaluate the &#13;
statistical significance of the association, and determine the level of significance. &#13;
For the interventional study, 174 study participants were recruited. A one-group quasi&#13;
experimental study using a pre-test and post-test was implemented using a consecutive sample &#13;
xv &#13;
technique. Clinical and laboratory measurements were taken before and after education. One-to&#13;
one nurse-led multicomponent chronic disease self-management education (CDSME) was &#13;
endured for four consecutive months. Hospital Anxiety and Depression Scale (HADS) was used &#13;
to detect the levels of anxiety and depressive symptoms. Data analysis was done on SPSS Version &#13;
25.0. Values are presented as means ± SD for continuous variables and percentages for &#13;
categorical variables. Continuous data were considered statistically significant at p-value &lt;0.05 &#13;
with two-tailed t-tests. &#13;
Results: For the systematic review and meta-analysis, the pooled prevalence of RHD was 3.19% &#13;
(95% CI: 1.46-5.56%). The prevalence was higher among the population who visited hospitals at &#13;
5.42% (95% CI: 1.09-12.7%) compared to schoolchildren at 0.73% (95% CI: 0.30-1.34%) and &#13;
community based studies at 3.83% (95% CI: 3.16-4.55%). Addis Ababa had the lowest &#13;
prevalence of RHD (0.75% (95% CI: 0.38-1.25%), whereas the highest prevalence was observed &#13;
in the Amhara (8.95% (95% CI: 7.21-11.06%) and Oromia (5.29% (95% CI: 0.65-13.92%) &#13;
regions. In the cross-sectional study, the most frequent morbidity encounter was RHD in 27.9% &#13;
of cases. Female sex [AOR=3.06: 95% CI 1.73–5.47], using wood (biomass fuel) for cooking &#13;
[AOR=1.94: 95% CI 2.22-6.86], dental caries [AOR=2.09: 95% CI 1.12-3.87], and living in &#13;
crowded households [AOR=2.02: 95% CI 1.15-3.52] were identified as determinants of RHD. &#13;
For the echocardiographic study, it was found that the mitral valve was affected in 98.26% of &#13;
cases, while abnormalities in the aortic and tricuspid valves were diagnosed in 49.5% and &#13;
21.17% of cases, respectively. The most common combinations of valve lesions were mitral &#13;
regurgitation (MR) + mitral stenosis (MS) + aortic regurgitation (AR) (15.7%), followed by MR &#13;
+ AR + TR (8.7%). The occurrence of MR + MS + AR was higher in males (24.1%) compared to &#13;
females (20.9%). Females also had a significantly lower ejection fraction compared to males &#13;
(84% vs. 15.2%, p = 0.044). Additionally, nearly two-thirds (63.5%) of individuals experienced &#13;
RHD-related complications the most commonly encountered complications were pulmonary &#13;
hypertension (26.1%) and atrial fibrillation (19.1%). In the quasi-experimental study, systolic &#13;
blood pressure decreased from 131.31 mmHg (SD±15.68) before education to 113.77 mmHg &#13;
(SD±20.98) after education (t-12.25, p&lt;0.001). The diastolic blood pressure also decreased from &#13;
94.87 mmHg (SD±19.41) pre-education to 79.28 mmHg (SD±9.33) post-education (t-12.306, &#13;
p&lt;0.001). Hemoglobin levels changed from 11.97 g/dl (SD±1.99) before the intervention to &#13;
13.84 g/dl (SD±1.37) after the intervention (t-11.96, p&lt;0.001). Similarly, the mean score for the &#13;
HADS depression subscale decreased from 11.93 (SD±3.43) at the pre-test to 9.48 (SD±3.67) at &#13;
the post-test (t-8.37, p&lt;0.001). As for the HADS anxiety subscale, the mean score before the &#13;
education program was 8.59 (SD±2.91) and decreased to 7.30 (SD±1.97) after education (t-6.44, &#13;
p&lt;0.001). &#13;
Conclusion: Rheumatic Heart Disease poses a major public health challenge in both Ethiopia &#13;
and the study area. Female sex, biomass use, malnutrition, dental caries, and overcrowding were &#13;
identified the determinants factors. The majorities of patients in the study has multiple valve &#13;
lesions and have experienced RHD-related complications. Chronic disease self-management &#13;
education has been shown to improve patients' clinical outcomes, including a reduction in &#13;
anxiety and depression levels. These findings implicates need to strengthen RHD surveillance &#13;
and improve access to early diagnosis. Addressing female healthcare, reducing biomass fuel &#13;
exposure, improving nutritional status, providing regular dental care, and enhancing living &#13;
conditions are all potential strategies to reduce the disease burden. The study also underscores &#13;
the importance of developing policies, programs, and guidelines for RHD prevention and &#13;
treatment.
</description>
<dc:date>2024-06-18T00:00:00Z</dc:date>
</item>
<item rdf:about="https://repository.ju.edu.et//handle/123456789/9914">
<title>Prevalence and associated factors of digital eye  Strain among regular undergraduate students of  Wolaita sodo university, wolaita sodo, Ethiopia: a  Cross-sectional study</title>
<link>https://repository.ju.edu.et//handle/123456789/9914</link>
<description>Prevalence and associated factors of digital eye  Strain among regular undergraduate students of  Wolaita sodo university, wolaita sodo, Ethiopia: a  Cross-sectional study
Ephrem Yohannes; Asfaw Gerbi; Addis Temie; Getachew  Chane; Niguse Hamba; Diliab Desta
Introduction: The widespread use of digital devices like computers and smartphones has &#13;
increased Digital Eye Strain (DES), particularly among students. DES is associated with &#13;
prolonged device use, poor ergonomics, inadequate screen settings, multitasking, varying &#13;
lighting conditions, and lack of breaks. This condition can affect vision, academic &#13;
performance, and overall well-being.  &#13;
Objectives: To assess the prevalence of digital eye strain and its associated factors among &#13;
regular undergraduate students of Wolaita Sodo University, Wolaita Sodo, South Ethiopia.  &#13;
Methodology: An institution-based cross-sectional study was conducted from October to &#13;
December 2024 at Wolaita Soddo University among regular undergraduate students. Data &#13;
were collected using a self-administered structured questionnaire, entered into Epi Data &#13;
version 3.1, and analyzed using SPSS version 26. Descriptive statistics like frequency, mean, &#13;
standard deviation, percentage, and proportion were computed. Bivariate and multivariate &#13;
logistic regression analysis was performed to identify the factors associated with digital eye &#13;
strain. Adjusted odds ratio (AOR) with 95% CI and p-value &lt;0.05 were used to determine the &#13;
level of significant association.  &#13;
Results: Of the 422 students, 267 (63.3%) were male. Most (95%) reported using digital &#13;
devices for more than 5 hours daily, 75% used multiple devices, 42% adjusted screen &#13;
brightness, 17% were aware of the 20-20-20 rule, and 30.6% used blue light filters. The &#13;
prevalence was 79.6%. Factors significantly associated with DES included the use of multiple &#13;
digital devices (AOR = 5.21, 95% CI: 2.68–10.11), more than 5hrs spent per day on digital &#13;
devices (AOR = 3.89, 95% CI: 1.07–14.10), lack of protective eyewear (AOR = 6.46, 95% &#13;
CI: 3.33–12.52), failure to adjust screen brightness (AOR = 3.9, 95% CI: 2.09–7.32), lack of &#13;
knowledge of the 20-20-20 rule (AOR = 5.77, 95% CI: 2.81–11.82), and not using blue light &#13;
filters (AOR = 3.15, 95% CI: 1.69–5.83) (p &lt; 0.05). &#13;
Conclusion and recommendation: &#13;
The study found a DES prevalence of 79.6% and identified factors including prolonged screen &#13;
time (&gt;5hr/d), multiple device usage, and inadequate eye care practices. To reduce DES, &#13;
students should limit screen time, use the 20-20-20 rule, wear protective eyewear, and adjust &#13;
brightness. The university should implement awareness campaigns on DES prevention
</description>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="https://repository.ju.edu.et//handle/123456789/9574">
<title>Evaluation of Nutritional Status, and Associated Factors among Adult  Gastrointestinal Cancer Patients at the Oncology Department of Jimma  University Medical Center Jimma, Ethiopia</title>
<link>https://repository.ju.edu.et//handle/123456789/9574</link>
<description>Evaluation of Nutritional Status, and Associated Factors among Adult  Gastrointestinal Cancer Patients at the Oncology Department of Jimma  University Medical Center Jimma, Ethiopia
Mabratu Takele Desisa; Belay Zewdie; Bati Leta; Mulualem Tadese; Abebe Dukesa
Background:-Malnutrition is a prevalent issue that significantly contributes to high morbidity &#13;
and mortality rates among adult patients with gastrointestinal cancer. Increasing evidence &#13;
shows that alteration of serum biomarkers, nutritional status, and malnutrition associated &#13;
factors leads to life-threatening complications and influences the clinical prognosis. Yet, there is &#13;
a lack of adequate empirical data regarding, serum biomarker alteration linked to tonutritional &#13;
status, and malnutrition associated factors among gastrointestinal cancer patients in Ethiopia. &#13;
Objective:- This study aimed to evaluate nutritional status, and associated factors among adult &#13;
gastrointestinal cancer patients at Jimma University Medical Center (JUMC), Ethiopia, in 2024.  &#13;
Method:- A facility-based cross-sectional study design was used among 134 adult &#13;
gastrointestinal cancer patients at the oncology department of JUMC, Jimma, Ethiopia, from &#13;
April 1, 2024, to June 25, 2024. The study participants were selected by sing concesus sampling &#13;
method of all adult gastrointestinal cancer patients who were on treatment during study period. &#13;
Nutritional status was collected using the subjective global assessment tool. Data entry and &#13;
statistical analysis were performed using Epi Data Version 3.1 and SPSS version 26, &#13;
respectively. Descriptive statistics, independent sample t-test, and bivariate and multiple logistic &#13;
regression were used to determine associations, with a P value ≤ 0.05 considered statistically &#13;
significant. &#13;
Results:-  Out of 133 participants, 78.9% (95% CI: 71.0-85.5) were malnourished, and the &#13;
prevalence of electrolyte disorders among adult gastrointestinal cancer patients were 65.4% &#13;
(95%CI: 56.7 to 73.4). There was a significant decrease in the mean level of  Serum Albumin= &#13;
3.10±.593 vs. 3.90±.396, P= &lt;.0001; Hemoglobin:11.92±2.083 vs. 13.79±1.410, P= &lt;.0001; &#13;
Prognostic Nutritional Index: 39.45±7.305 vs. 47.86±5.799, P= &lt;.0001; Geriatric Nutritional &#13;
Risk Index: 79.73±10.681 vs. 97.83±6.550; P = &lt;.0001, and Nutritional Risk Index: &#13;
81.51±10.650 vs. 100.48±6.878, P = &lt;.0001), in malnourished as compared to well-nourished &#13;
patients respectively.  &#13;
Low serum albumin, Stage IV cancer, Poor performance status, and longer duration of illness &#13;
(25 months or more), increased the risk of malnutrition by 8.29 times(AOR = 8.29, 95% CI: &#13;
2.13-32.2, P=.002;  7.59 times (AOR = 7.59, 95% CI: 1.05-25.3, P=.045; 5.77 times (AOR = &#13;
5.77, 95% CI: 1.20-27.6, P=.028), and had 7.81 times(AOR = 7.81, 95% CI: 1.47- 41.6, &#13;
P=.016), respectively. &#13;
Conclusion and Recommendation &#13;
Malnutrition is highly prevalent among adult gastrointestinal cancer patients. There was a &#13;
significant decrease in the mean level of serum albumin, hemoglobin, geriatric nutritional risk &#13;
index, nutritional risk index, and prognostic nutritional index in malnourished as compared to &#13;
well-nourished patients. These biomarkers are recommended as alternative or supplementary &#13;
screening tools for early detection of malnutrition in adult gastrointestinal cancer patients.
</description>
<dc:date>2024-06-06T00:00:00Z</dc:date>
</item>
<item rdf:about="https://repository.ju.edu.et//handle/123456789/9561">
<title>Evaluation of Metabolic Biomarkers and Associated Factors  Among Benign Prostatic Hyperplasia Patients at Jimma University  Medical Center, Southwest Ethiopia</title>
<link>https://repository.ju.edu.et//handle/123456789/9561</link>
<description>Evaluation of Metabolic Biomarkers and Associated Factors  Among Benign Prostatic Hyperplasia Patients at Jimma University  Medical Center, Southwest Ethiopia
Hundesa Emana; Zerihun Aseffa; Gessese Legesse
Background: Benign prostatic hyperplasia is a common cause of lower urinary tract obstruction in &#13;
older adults, attributed to the growth of smooth muscle cells in the prostatic transition zone. The ma&#13;
jor risk factor for Benign Prostatic Hyperplasia is metabolic syndrome, despite the high burden of &#13;
metabolic syndrome in Ethiopia, not much study has been done on its association with benign pros&#13;
tatic hyperplasia &#13;
Objective: This study aims to determine selected metabolic biomarkers in individuals diagnosed &#13;
with BPH attending Jimma University Medical Center  &#13;
Methods and Materials: Hospital-based cross-sectional study was conducted at Jimma University &#13;
medical center among 158 consecutive male BPH patients from January 15 to April 15. A structured &#13;
questionnaire was used to collect socio-demographic characteristics. Data were collected by trained &#13;
clinical nurses. A 5ml blood sample was drawn and analyzed using a Cobas 6000 chemistry analyzer &#13;
by a laboratory technologist and under the close supervision of a principal investigator. All anthro&#13;
pometric, and blood pressure measurements were taken according to their specific principles with &#13;
appropriate measurement devices.  Data was entered into Epi-data version 4.6.0.6 and analyzed using &#13;
a statistical package for social sciences version 26. National Cholesterol Education Program Adult &#13;
Treatment Panel criteria were used to determine the occurrence of metabolic syndrome. Logistic re&#13;
gression was used to assess factors associated with metabolic syndrome. &#13;
Result: The overall prevalence of metabolic syndrome among patients with BPH patients attending &#13;
JUMC was 38.6% (0.31,0.46). Factors such as age AOR: 3.43 (95% CI:1.3, 9), urban residence &#13;
AOR:3.35 (95% CI: 1.35, 8.30), total cholesterol AOR:3.20 (95% CI:1.27, 8.06), high LDL &#13;
(130mg/dl) AOR:3.54 (95% CI:1.08, 11.56), WHR &gt;0.9 AOR: 5.07 (95% CI:2.15, 11.98), &#13;
BMI≥25kg/m2 AOR: 3.47 (95% CI: 1.44,8.32), and serum uric acid AOR: 3.21 (95% CI:1.02, 10.01) &#13;
were significantly associated with metabolic syndrome. About 33.5% (95% CI: 0.26,0.40) of partici&#13;
pants had prostate volumes ≥80ml. Obesity (WC&gt;40inch) AOR:2.49 (95% CI:1.18,5.24) &#13;
(HDL&lt;40mg/dl), AOR:2.87 (95% CI:1.26,6.53), and (FBS≥100mg/dl) AOR:2.46 (95% CI:1.14,5.3) &#13;
were significantly associated with increased prostate volume. &#13;
Conclusion and recommendation: The prevalence of metabolic syndrome in Benign Prostate Hy&#13;
perplasia patients was significantly high. There is a need to assess components of metabolic syn&#13;
drome for the betterment of patient management to curtail further complications.
</description>
<dc:date>2024-06-01T00:00:00Z</dc:date>
</item>
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