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.

2021

Background A post stroke seizure is a period of neurological dysfunction caused by abnormal neuronal activity. Seizures after a stroke have an impact on patients' lives and increase mortality in stroke patients. It also has a negative impact on the prognosis of stroke. However, there is a scarcity of literature in Ethiopia on the occurrence of post-stroke seizures. Therefore, this study aimed to assess the incidence and predictors of post-stroke seizure at Felege Hiwot compressive specialized hospital, North West Ethiopia. Methods An institution-based retrospective follow-up study was carried out at Felege Hiwot Compressive Specialized Hospital, North West Ethiopia from July 1, 2017 to June 30, 2021. The records of 568 stroke patients were reviewed using a random sample method. To find predictors of post-stroke seizures, we applied the log-binomial regression model. Result The incidence of post-stroke seizures was 22.18%( 95% CI 18.83%—25.83%). Older age group (ARR = 2.49, 95% CI 1.33–4.69), hemorrhagic stroke (ARR = 1.99, 95% CI 1.25–3.17), surgical intervention (ARR = 1.85, 95% CI 1.22–2.81), and tramadol medication (ARR = 1.85, 95% CI 1.22–2.81) were found to be predictors of post stroke seizure. Conclusion This study revealed that the incidence of post stroke seizure was high and older age, haemorrhagic type of stroke, surgical management, and use of tramadol anti-pain medication are risk factors for post-stroke seizures. Therefore, health care professionals must pay special attention and provide clinical care to patients who have risk factors for post-stroke seizure.

Background A seizure is an episode of neurological dysfunction caused by abnormal neuronal activity. Post stroke seizure affects patients’ lives and increase mortality in patients with stroke. It also negatively affects the prognosis of stroke. However, literatures on the occurrence of post-stroke seizure are scanty in Ethiopia. Therefore, this study aimed to assess the incidence and predictors of post-stroke seizure in west Amhara Region, Ethiopia, 2021. Methods An institution-based retrospective follow-up study was conducted at western Amhara region from September 20/2021, to October 10 / 2021. Patients who included in this study were come from western Amhara region and that admitted at Felege Hiwot compressive specialized hospital stroke care center. Charts of 568 stroke patients were reviewed through a simple random sampling technique. Descriptive statistics and log-binomial regressions model were applied. Result The cumulative incidence and incidence density rate of seizure were 22.18% and 37/1000 persons per day observation respectively. Older age group (ARR = 2.49, 95% CI 1.33–4.69), haemorrhagic stroke (ARR = 1.99, 95% CI 1.25–3.17), Surgical intervention (ARR = 1.85, 95% CI 1.22–2.81) and tramadol medication (ARR = 1.85, 95% CI 1.22–2.81) were found as the significant risk factors of post stroke seizure. Conclusion This study found that older age, hemorrhagic type of stroke, surgical management and use of Tramadol anti-pain medication were found as risk factors that increase the risk of post-stroke seizure. Thus, health care professionals shall give special attention and clinical care accordingly for patients with risk factors of post-stroke seizure.

Objective: The rising disease burden of diabetes mellitus globally is a major public health priority. Depressive disorder is also one of the common and overwhelming complication among people with type 2 diabetes mellitus, which results increase in the number of diabetic complications. Therefore, this study aimed to identify prevalence and associated factors of depression among type 2 diabetes patients. Result: Institutional based cross-sectional study was employed among 575 individuals with type 2 diabetes mellites in Bahir Dar public hospitals from March 01- to April-01. Systematic random sampling method was employed to select participants. Patient Health Questionnaire-9 tool was used for assessing depression. For analysis, descriptive statistics and binary logistic regression models were used. The prevalence of depression was 41.39 %, (95% CI; 37-45). Poor sleep quality, poor social support, having irregular follow up, and low physical activity were factors significantly associated with depression among individuals with type 2 diabetes melilites. Promoting social support at any aspect of health care service is important to minimize depression. Moderate regular physical exercise is also needed to improve the overall mental health and depression.