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.

Objectives The aim of this study is to determine the prevalence of poor sleep quality and its associated factors among people with type 2 diabetes mellitus at Jimma University Medical Center, Jimma, Ethiopia 2018. Comparative cross-sectional study was employed on 198 participants (99 cases and 99 controls). Data were collected using Pittsburgh Sleep Quality Index (PSQI) and analyzed using SPSS version 20. Variables with p value ≤ 0.05 in multivariable logistic regression were treated as significant predictors of poor sleep quality. Results The prevalence of poor sleep quality was 55.6% among people with type 2 diabetes mellitus and 32.3% among controls. Longer duration of diabetes since diagnosis (> 10 years) [AOR = 4.88 CI (1.27, 18.66) p = 0.021], co-morbid hypertension [AOR = 3.2, CI (1.16, 8.84) p = 0.025], poor glycemic control [AOR = 3.16 CI (1.2, 8.27), p = 0.02] and current khat chewing [AOR = 3.06, CI (1.04, 8.98), p = 0.042] were factors significantly associated with poor sleep quality. The prevalence of poor sleep quality was significantly higher among people with diabetes than those who didn’t have diabetes (controls). Poor sleep quality may bring about mental impairment and reduce working capacity of individuals with diabetes mellitus. Therefore, diabetes mellitus patients need to have heath education about risk factors for poor sleep quality.

Background: Road traffic crashes (RTCs) can cause serious and long-lasting consequences for drivers, both in terms of physical and mental health outcomes. Posttraumatic stress disorder (PTSD) is the most frequent mental disorder occurring after traumatic exposure. Ethiopian drivers experience RTCs more frequently than other sub-Saharan countries. Despite this prevailing phenomenon, limited attention has been given to PTSD among drivers. Objective: To determine the prevalence of PTSD and associated factors among drivers surviving RTCs in southwest Ethiopia. Methods: A cross-sectional quantitative study was conducted among 402 male drivers who had survived RTCs. The study was conducted in Jimma zone, southwest Ethiopia from March to June, 2019. All drivers who had survived RTCs in the last year were included in the study. The Trauma Screening Questionnaire was used to determine the prevalence of PTSD. Data were entered in EpiData 3.1 and exported to SPSS 24 for analysis. Results: The response rate of the study was 398(99%). Fifty of 398 (12.6%, 95% CI 9.5%-16.1%) met PTSD criteria based on the questionnaire. A history of near-miss RTCs (AOR 3.49, 95% CI 1.89-6.43), depression (AOR 3.32, 95% CI 1.36-5.12), and severe-risk cannabis use (AOR 2.51, 95% CI 1.96-7.52) were significantly associated with PTSD. Conclusion and recommendation: The prevalence of PTSD among drivers surviving RTCs was high compared to the general population. A record of near-miss RTCs, depression, and severe-risk cannabis use shown significant associations with PTSD. Strategies and guidelines must be developed to screen and treat PTSD among drivers surviving RTCs. Drivers with experience of near-miss RTCs, depression, and severe-risk cannabis use should be given priority when screening for PTSD.

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