Background Multiple factors may contribute to sleep disruption among individuals with type 2 diabetes mellites. Sleep disruption among individuals with type 2 diabetes mellites is frequently associated with long-term damage, dysfunction, and failure of different organs. Nevertheless, literature in this regard is scanty in Ethiopia. Therefore, this study aimed to assess and compare the prevalence of poor sleep quality and associated factors among type 2 diabetes mellites patients and non-diabetes individuals in Bahir Dar governmental hospitals. Methods Comparative cross-sectional study was employed among 292 individuals with type 2 diabetes mellites and 291 non-diabetic individuals in Bahir Dar governmental hospitals from March 01- to April-01. A two-stage cluster sampling method was employed to select participants. Pittsburgh sleeps quality index was used for assessing sleep quality. For analysis, descriptive statistics and binary logistic regression models were used. Result The prevalence of poor sleep was 50.7% (95% CI; 44.9–56.2) and 31.8% (95% CI 26.5–37.5) among individuals with type 2 diabetes melilites and non-diabetic, respectively. Among the overall participants, type 2 diabetes melilites patients were also significantly associated with poor sleep quality than non-diabetic individuals (AOR = 1.89; 95% CI; 1.19–2.87). Comorbidity, duration of DM > 10 years, Poor glycaemic control, depression, low physical activity, and poor social support were factors significantly associated with poor sleep quality among individuals with type 2 diabetes melilites. Among non-diabetic individuals, low physical activity, poor social support, depression, and age group (> 50 years) were factors significantly associated with poor sleep quality. Conclusion In this study, poor sleep among individuals with type 2 diabetes melilites was higher than in non-diabetes individuals.

Background: Multiple factors may contribute to sleep disruption in type 2 diabetic individuals. Sleep disruption in type 2 diabetic individuals is frequently associated with long-term damage, dysfunction, and failure of different organs. Nevertheless, literature in this regard is scanty in Ethiopia. Therefore, this study aimed to assess and compare the prevalence of poor sleep quality and associated factors among type 2 diabetic and non-diabetic individuals in Bahir Dar governmental hospitals.Methods: Comparative cross-sectional study was employed among 292 individuals with type 2 diabetes and 291 non-diabetic individuals in Bahir Dar governmental hospitals from March 01- to April-01. A two-stage cluster sampling method was employed to select participants. Pittsburgh sleep quality index was used for assessing sleep quality. For analysis, descriptive and summary statistics were used to determine the prevalence and percentage of variables. Chi-square test was also used for comparison. Binary logistic regression analysis was employed to determine the associated factors of poor sleep quality. Result: The prevalence of poor sleep was 50.7% (95% CI; 44.9-56.2) and 31.8% (95% CI 26.5-37.5) among individuals with type 2 diabetes and non-diabetic individuals respectively. Among the overall participants being type 2 diabetic patient was also found significantly associated with poor sleep quality as compared to non-diabetic individuals (AOR=1.89; 95% CI; 1.19-2.87). Comorbidity, duration of DM >10 years, Poor glycaemic control, having depression, low physical activity, and poor social support were factors significantly associated with poor sleep quality among individuals with type 2 diabetes. Among non-diabetic individual’s low physical activity, poor social support, having depression, and age group (>50 years) were factors significantly associated with poor sleep quality. Conclusion: In this study, the prevalence of poor sleep among individuals with type 2 diabetes was higher than non-diabetes individuals.

Background Acute kidney injury is an independent risk factor for morbidity and mortality in critically ill neonates. Although the magnitude of preterm neonates is high and a major risk for acute kidney injury, there is a paucity of information regarding the magnitude and associated factors of acute kidney injury among preterm neonates in the study area. Therefore, the aim of this study was to assess magnitude and associated factors of acute kidney injury among preterm neonates admitted to public hospitals in Bahir Dar city, Ethiopia, 2022. Methods An institutional-based cross-sectional study was conducted among 423 preterm neonates admitted to public hospitals in Bahir Dar city from May 27 to June 27, 2022. Data were entered into Epi Data Version 4.6.0.2 transferred to Statistical Package and Service Solution version 26 for analysis. Descriptive and inferential statistics were employed. A binary logistic regression analysis was done to identify factors associated with acute kidney injury. Model fitness was checked through Hosmer-Lemeshow goodness of fit test. Variables with a p-value < 0.05 were considered as statistically significant in the multiple binary logistic regression analysis. Result Out of 423 eligible, 416 neonatal charts were reviewed with a response rate of 98.3%.This study revealed that the magnitude of acute kidney injury was 18.27% (95% CI = 15–22). Very low birth weight (AOR = 3.26; 95% CI = 1.18–9.05), perinatal asphyxia (AOR = 2.84; 95%CI = 1.55–5.19), dehydration (AOR = 2.30; 95%CI = 1.29–4.09), chest compression (AOR = 3.79; 95%CI = 1.97–7.13), and pregnancy-induced hypertension (AOR = 2.17; 95%CI = 1.20–3.93) were factors significantly associated with the development of neonatal acute kidney injury. Conclusion Almost one in five admitted preterm neonates developed acute kidney injury. The odds of acute kidney injury were high among neonates who were very low birth weight, perinataly asphyxiated, dehydrated, recipients of chest compression, and born to pregnancy-induced hypertensive mothers. Therefore, clinicians have to be extremely cautious and actively monitor renal function in those neonatal population in order to detect and treat acute kidney injury as early as possible.