Background An estimated 150 million people worldwide and nearly 17% of the populations in the developing nations are currently suffering from sleep problems. The aim of the present study was to determine the prevalence and associated factors of sleep quality among adults in Ethiopia. Method A cross-sectional study was conducted on 422 randomly selected adults using validated and pretested Pittsburgh Sleep Quality Index. Data were entered into EpiData and analyzed using SPSS version 20 considering bivariable (P value < 0.25) and multivariable (P < 0.05) logistic regression procedures at 95% confidence interval. Result The overall prevalence of poor sleep quality (PSQI score > 5) was 65.4% with higher proportion among males (79 (63.0%)) and age group of 40–49 years (174 (28.6%)). A multivariable logistic regression analysis indicated that age category of 40–49 years (AOR = 2 [95% CI (1.1, 3.6)]) (P = 0.03), monthly income ≤ 1000 ETB (AOR = 2.2 [95% CI (14, 3.5)]) (P = 0.01), current khat chewing (AOR = 1.8 [95% CI (1.1, 3.1)]) (P = 0.03), daily khat chewing (AOR = 3.4 [95% CI (1.2, 11.1)]) (P = 0.04), and obesity (AOR = 1.2 [95% CI (1.3, 2.5)]) (P = 0.03) were identified as risk factors of poor sleep quality. Conclusion The current study is informative for government to work on poverty reduction, create awareness for weight reduction, and develop legislation for khat control to prevent poor sleep quality.

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BackgroundIt is well known that dyslipidemia and chronic hyperglycemia increase the onset of diabetes and diabetic complication. The aim of this study is to see the association of trace metals elements and lipid profile among type 2 diabetes mellitus patients.MethodsThe study was conducted on 214 type 2 diabetic patients at Jimma University Specialized Hospital, Jimma, Ethiopia. All the eligible study participants responded to the structured interviewer administered questionnaire and fasting venous blood was drawn for biochemical analysis. Trace metal elements (zinc(Zn+2), magnesium(Mg+2), chromium(Cr+3), calcium(Ca+2), phosphorus(Po4 −3), manganese(Mn+2), copper(Cu+2), and iron(Fe+3)) and lipid profiles (total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein (HDL-C), and triglycerides (TG)) were measured by atomic absorption spectrophotometry and enzymatic determination method respectively. Data were analyzed by SPSS version 24 software for windows. Bonferroni correction for multiple statistical comparisons was used and a p-value less than 0.01 were accepted as a level of significance.ResultThe mean age of study participants was 42.95(±12.6) with an average of 5.83(±3.1) years being diagnosed with diabetes mellitus. The BMI of female (27.1(±4.9)) was significantly higher than male (25.21(±4.2)). BMI shows positive and significant (p < 0.01) association with lipid profiles (TC, LDL-C, and TG) among type 2 diabetic patients in the liner regression model. In addition, WH-R was positively associated with TG. In Pearson partial correlation adjusted for sex and age, Za+2 shown to have statistically significant and negative correlations with TC, LDL-C and with TG. Mg+2 and Cr+2 negatively and significantly correlated with the lipid profile TC and LDL-C. Ca+2 negatively correlated with TC and TG. Po−3 4 positively correlated with HDL-C; iron negatively correlated with TC. However, in the liner regression model, only calcium positively and significantly (Beta = −0.21, p < 0.01) associated with TG.ConclusionIn the current study, a negative correlation was observed between trace metal elements (Zn+2, Mg+2, Cr+3, Ca+2 and Fe+3) and lipid profile (TC, LDL-C and TG) among type 2 diabetes mellitus patients. In addition, Ca+2 observed to be associated with TG. Future studies are highly advised to uncover the bidirectional association between trace metal element and dyslipidemia in diabetic patients.

Even though the COVID-19 pandemic is a global phenomenon that is heavily affecting the lives, livelihoods, and wellbeing of the entire population, the degree and severity of its effects are different among groups and sectors. In developing countries, where there is poor infrastructure coupled with a low level of education and a high incidence of poverty, the pandemic would result in increased unemployment, decreased income for daily labor, increased food insecurity, depletion of saving and relief measures, and disrupted the marketing system, among others. Recently, some studies have been conducted in Ethiopia regarding the impact of the pandemic on the people and the country as a whole by reviewing the literature and mobile call surveys. However, those studies fail to capture the representative sample and empirical data to forward informed decisions. To this end, the present study has investigated the effect of COVID-19 on the livelihood activities of smallholder farm households in South Wollo and Oromia administrative Zones, Ethiopia. A multistage random sampling procedure was employed to draw 275 respondents out of 32,214 household heads. Data were collected through interview schedules, key informants and case studies from September to November 2020. Descriptive statistics, econometric analysis and qualitative approaches were employed to analyze the data. The major livelihood activities in the study area are crop production (97.4%), livestock rearing (77.4%), daily work (47%), small business (31.4%), livestock trading (30.7%), remittance (24.8%), labor migration (14.8%), sale of firewood (11.1%) and income from Productive Safety Net Program (PSNP) (17%). The study shows that the livelihoods of 88.89% of the households were affected by the pandemic. The pandemic significantly affected and forced households to cease their livelihood activities such as daily labor (34.82%), small business trade (26.3%), livestock trading (23.7%), income from remittance (21.49%) and labor migration (11.48%). This implies that the pandemic particularly affected non-farm and off-farm livelihood diversification strategies. Therefore, the government and other rural development partners should focus on immediate and long-term intervention strategies to recover the most affected households through social security programs, creating market linkage and revolve funding mechanisms.

BACKGROUND: Non-alcoholic Fatty Liver Disease (NAFLD) among type 2 diabetic patients is completely ignored in developing regions like Africa paving the way for public health and economic burden in the region. Therefore, the main objective of this research was to evaluate non-alcoholic fatty liver disease and associated factors among type 2 diabetic patients in Southwestern Ethiopia attending Diabetic Clinic of Jimma University Specialized Hospital (JUSH). METHODS: Facility based cross-sectional study design was used. Anthropometry, fatty liver (using utrasonography), liver enzymes, and lipid profiles were measured among type 2 diabetic patients who fulfilled the inclusion criteria. Socio-demographic and clinical characteristics were assessed using standard questionnaires. RESULTS: Ninety-six (96) type 2 diabetic patients were enrolled and non-alcoholic fatty liver disease prevalence was 73%. Of nonalcoholic fatty Liver disease documented patients, 35.4%, 31.3% and 6.3% exhibited mild, moderate and severe fatty liver diseases, respectively. Alanine aminotransferase (p ≤0.001), Triacyglycerol (p ≤0.001), total bilirubin (p ≤0.05), direct bilirubin (p ≤0.05) and diabetic duration (p ≤0.01) were significantly associated with nonalcoholic fatty liver disease among type 2 diabetic patients. The Aspartate aminotransferase/ Alanine aminotransferase ratio among non alcoholic fatty liver disease patients was greater than one. CONCLUSIONS: The magnitude of non-alcoholic fatty liver disease is high among study groups and it needs urgent action by healthcare systems. Therefore, targeted treatment approach inclusive of non-alcoholic fatty liver disease should be designed.

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BackgroundThe chronic hyperglycemia of diabetes has been associated with an imbalance of some trace metal elements in the blood sample of type 2 diabetes patients.AimTo evaluate the status of serum ferritin and some selected metal elements among type 2 diabetes mellitus (T2DM) patients.MethodsFacility-based comparative cross-sectional study was conducted from February 15, 2015 to October 30, 2015, at Jimma University Specialized Hospital, Ethiopia. A total of 428 type 2 diabetes and nondiabetes study subjects were recruited to the study. After overnight fasting, 10 mL of venous blood samples were taken for biochemical and trace metal element analysis. Data were entered into EpiData version 3.5.1 and exported to SPSS version 20 for Windows for analysis.ResultsSerum concentration of Zn+2, Mg+2, Cr+3, ferritin, and Fe+3 in patients with type 2 diabetes was significantly lower (p<0.0001) than nondiabetes patients. In contrast, serum Cu+2 was significantly higher (p<0.0001) in type 2 diabetes patients than nondiabetics. In addition, significant differences were not seen in both groups with regard to serum Mn+2, Ca+2, and Po4−3. Waist-to-hip ratio (WHR), serum Fe+3, ferritin, and Mn+2 were significantly higher among oral hypoglycemic agent users of type 2 diabetes patients than the injectable insulin users. Serum Zn+2 had significant positive correlation with serum Mg+2 (r=0.738), Cr+3 (r=0.233), Ca+2 (r=0.238), and Po4−3 (r=0.222). In addition, serum Zn+2 had shown significant and negative correlation with body mass index (BMI, r=−0.331), WHR (r=−0.340), and fasting blood glucose (FBG, r=−0.186). Likewise, serum Mg+2 and Po4−3 are significantly and negatively correlated with BMI, WHR, and FBG.ConclusionThe imbalance of trace metal elements in the blood sample of diabetes is uncertain. Thus, we recommend a prospective cohort study to find out the principal factors behind the problem.

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.