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 apvalue 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 recommendationIn 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/m²were independent predictors of electrocardiographic abnormality. Integrating electrocardiogram screening in routine diabetic management can pick cardiac complications of diabetes.

Background: COVID-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 methods: A 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 < 0.25) were conducted to identify the candidate variable for multivariable logistics regression analysis (p < 0.05) and a 95% confidence interval was used to establish the level of significance of the variables with the practice.Results: Interviews 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.Conclusion: In 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.