Background. Diabetes chronic complications are major causes of morbidity and mortality, among which diabetic peripheral neuropathy (DPN) stands out. One of the tools to screen DPN is the Michigan neuropathy screening instrument. However, there is no data compiled using this tool to assess the prevalence and its determinants in Jimma. So, the aim of this study was to assess the prevalence of DPN and its determinants among patients with diabetes mellitus at Jimma University Medical Center. Methods. A hospital-based cross-sectional study was conducted at Jimma University Medical Center on 366 type 2diabetic patients. Data were collected using pretested structured questionnaire and entered into EpiData 3.1 and exported to SPSS version 20 for analysis. Both bivariate and multivariate binary logistic regressions were employed to identify factors associated with DPN. A variable having a p value of < 0.25 in the bivariate model was subjected to multivariate analysis to avoid confounding variable’s effect. Adjusted odds ratios were calculated at 95% confidence interval and considered significant with a p value of ≤ 0.05. Results. The mean age of participants was 50.1±14.28 years. The study finding showed that the prevalence of DPN was 53.6% among study participants. According to the multivariate logistic regression age above 40 years (AOR=4.57; 95% CI: 1.50, 13.9), above 50 years (AOR=6.5; 95% CI: 2.24, 18.79), duration of diabetes above 5 years (AOR=3.06; 95% CI: 1.63, 5.77), duration above 10 years (AOR=7.1; 95% CI: 2.99, 17.28), physical inactivity (AOR=2.02; 95% CI: 1.14, 3.55), and smoking (current smoker AOR=7.96, 95% CI: 3.22, 19.64; former smoker (AOR=2.65; 95% CI: 1.22, 5.77) were independent predictors of DPN among study participants. Conclusion. Almost half of the study participants had DPN. Age above 40 years, diabetes duration of above 5 years, physical inactivity, and smoking were significantly associated with DPN. Early detection and appropriate interventions are important among patients with age above 40 years, physically inactive, smokers, and diabetes duration of above 5 years.

Background Diabetes mellitus is a group of metabolic disorders causing long-term damage to the cardiovascular system which remains asymptomatic among diabetic patients. An electrocardiograph is a simple and first-line tool in the screening of cardiovascular diseases. Objective To assess electrocardiogram abnormality and associated factors among apparently healthy adult type 2 diabetes patients on follow-up at Jimma Medical Center, 2019. Materials and methods Institutional based cross-sectional study was conducted from April 1 to May 30, 2019, at Jimma Medical Center among selected type 2 diabetes patients. Systematic random sampling was employed to select the study participants. The World Health Organization stepwise approach and interviewer-administered semi-structured questionnaires were employed to collect basic data. Resting Electrocardiography was done using a standard 12-lead electrocardiograph machine. The collected data were checked for completeness, coded, entered into the Epi-data Version 4.0.2. and exported to SPSS Version 21. Descriptive statistics like frequencies, percentages, mean and standard deviations were carried out. Binary and multiple logistic regression was done and a p value of less than 0.05 was used as a level of significance. Results A total of 344 type 2 diabetes patients were interviewed and underwent electrocardiography making a 100% response rate. Electrocardiographic abnormality was identified among 209 (61%) of the respondents. Not attending formal education [AOR = 3.07, 95%, CI = 1.37–6.87], solid oil use, [AOR = 1.79, 95%, CI = 1.07–2.98], body mass index ≥ 25 kg/m2 [AOR = 2.74, 95%, CI = 1.67–4.50] and long duration of diabetes ≥ 10 years [AOR = 3.36, 95%, CI = 1.46–7.71] were associated with electrocardiogram abnormality. Conclusions and recommendation In this study, the majority (3/5th) of the participant had electrocardiogram abnormality. Not attending formal education, longer duration of diabetes ≥ 10 years, solid oil use, and increased body mass index ≥ 25 kg/m2 were independent predictors of electrocardiographic abnormality. Integrating electrocardiogram screening in routine diabetic management can pick cardiac complications of diabetes.

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BackgroundCOVID-19 has affected the mental and physical wellbeing, social structure, countries' economy as well as individuals and community resilience, trust, and inequalities among societies. However, now almost all of the activities have been returned to the pre-corona era, despite the emergence of new strains and the spread of the disease. Hence, this study was conducted to assess COVID-19 prevention practice and the associated factors.Materials and methodsA community-based cross-sectional study triangulated with the qualitative findings was conducted in Jimma town, Oromia, Ethiopia. A total of 422 sample households were involved in the quantitative study. The quantitative data were collected using a structured questionnaire and 12 key informants were also interviewed for the qualitative part. The quantitative data were processed and entered into the Epi Data version 4.6 (software) and analyzed using SPSS 26.0. Similarly, the qualitative data were analyzed using ATLASti.7.1.04 software package. Descriptive statistics and binary logistics regression (p &lt; 0.25) were conducted to identify the candidate variable for multivariable logistics regression analysis (p &lt; 0.05) and a 95% confidence interval was used to establish the level of significance of the variables with the practice.ResultsInterviews were conducted with a total of 422 participants, yielding a response rate of 100%. Good preventive practices were found to be adopted by 13.3% of the respondents. People aged ≥ 50 years, [AOR = 2.85, 95%, CI = 1.246–0.53] who recovered from COVID-19, [AOR = 2.41, 95%, CI = 1.184–0.92], had chronic diseases [AOR = 3.70, 95%, CI = 1.887–0.25], and living with COVID-19 high risk [AOR = 2.96, 95%, CI = 1.475–0.991 were independently associated with good preventive practices.ConclusionIn this study, it was understood that there were poor COVID-19 preventive practices among the study participants. There was a disparity in adherence to the preventive practices in relation to (i.e., 50 and above years) the experience of contracting COVID-19 and people aged above 65 years old living with the high-risk group. In addition, the community had different misconceptions or risk perceptions related to COVID-19 infection and preventive practices. This highlights the need to design health education programs and implement risk and/or social and behavior change communication interventions to change perceptions or misconceptions of people or community members to bring about the desired behavioral change and prevent the spread of COVID-19.

Background Psychiatric patients have two to three-fold higher risk of cardiovascular morbidity and mortality as compared to the general population. Despite the high rate of cardiovascular disease, about 80% of patients with psychiatric disorders have fewer opportunities for cardiovascular disease screening. Early detection of subclinical cardiovascular disease using an electrocardiogram can improve the clinical outcomes of these patients. However, in Ethiopia, no previous study had been conducted on electrocardiogram abnormalities and associated factors among psychiatric patients. Hence, this study aimed to assess the electrocardiogram abnormalities and associated factors among psychiatric patients attending follow-up at Jimma Medical Center, Jimma, Ethiopia. Methods An institution-based cross-sectional study was carried out among psychiatric patients attending Jimma Medical Center Psychiatry Clinic from October 14 to December 10, 2021. An interviewer-administered structured questionnaire was used to collect socio-demographic data, behavioral factors, disease-related and medication-related data. Anthropometry and blood pressure were measured following the standard protocols. A resting 12 lead ECG was recorded according to the standard recording protocol of the Minnesota code. Data were entered into Epi data version 4.6 and exported to SPSS version 25. Results of the descriptive analysis were summarized by frequencies, means, and proportions, and presented by using tables and figures. Bivariable and multivariable logistic regressions were performed. p value < 0.05 was considered statistically significant. Result A total of 315 psychiatric patients were included in the present study. The mean age (SD) of the respondents was 36.27 ± 10.85 years. ECG abnormalities were identified among 191 (60.6%) respondents. Age older than 40 years [AOR = 3.31: 95% CI 1.58–6.89], treatment with antipsychotics [AOR = 4.16: 95% CI 1.25–13.79], polytherapy [AOR = 3.13: 95% CI 1.15–8.62], having schizophrenia [AOR = 3.11: 95% CI 1.20–8.11], and illness duration of > 10 years [AOR = 4.25: 95% CI 1.72–10.49] were significantly associated with ECG abnormalities. Conclusions In the present study, six out of ten respondents had ECG abnormalities. Age of the respondents, treatment with antipsychotics, having schizophrenia, polytherapy and illness duration of > 10 years were significant predictors of ECG abnormalities. Routine ECG investigation should be performed in the psychiatry treatment setting and further studies are recommended to delineate factors affecting ECG abnormalities.