Gastroesophageal reflux disease symptoms and associated factors among university students in Amhara region, Ethiopia, 2021: a cross-sectional study.

INTRODUCTION: Gastroesophageal reflux disease (GERD) symptom is a relapsing chronic medical condition resulting from the reflux of gastric acid contents into the esophagus and throat or mouth. It interferes with social functioning, sleep, productivity, and quality of life. Despite this, the magnitude of GERD symptoms is not known in Ethiopia. Therefore, this study was conducted to determine the prevalence and associated factors of GERD symptoms among university students in the Amhara national regional state. METHODS: An institutional-based cross-sectional study was employed in Amhara national regional state Universities, from April 1, 2021, to May 1, 2021. Eight hundred and forty-six students were included in the study. A stratified multistage sampling technique was employed. Data were collected by using a pretested self-administered questionnaire. Data were entered via Epi Data version 4.6.0.5 and analyzed by SPSS version-26 software. The bivariable and multivariable binary logistic regression analyses were used to determine the associated factors of GERD symptoms. The adjusted odds ratio (AOR) with a 95% confidence interval (CI) was calculated. Variables having a p-value of ≤ 0.05 were considered statistically significant. RESULTS: The prevalence of GERD symptoms in this study was 32.1% (95% CI = 28.7-35.5%). Being in the age of 20-25 years (AOR = 1.74, 95%CI = 1.03-2.94), female (AOR = 1.67, 95% CI = 1.15-2.41), use of antipain (AOR = 2.47, 95% CI = 1.65-3.69) and soft drinks (AOR = 1.58, 95% CI = 1.13-2.20) were significantly associated with higher odds of GERD symptoms. Urban dwellers had less chance of having GERD symptoms (AOR = 0.67, 95% CI = 0.48-0.94). CONCLUSION: Nearly one-third of university students are affected by GERD symptoms. Age, sex, residence, use of antipain, and consumption of soft drinks were significantly associated with GERD. Reducing modifiable risk factors such as antipain use and soft drink consumption among students is advisable to decrease the disease burden.

Predictors of death among severe COVID-19 patients admitted in Hawassa City, Sidama, Southern Ethiopia: Unmatched case-control study.

INTRODUCTION: Since COVID-19 was announced as a worldwide pandemic, the world has been struggling with this disease. In Ethiopia, there is some information on the epidemiological characteristics of the disease and treatment outcomes of COVID-19 patients. But, there is limited evidence related to predictors of death in COVID-19 patients. OBJECTIVE: To assess the predictor of death among severely ill COVID-19 patients admitted in Hawassa city COVID-19 treatment centers. METHODS: An institution-based unmatched case-control study was conducted at Hawassa city COVID-19 treatment centers from May 2021 to June 2021. All severe COVID-19-related deaths from May 2020 to May 2021 were included in the case group whereas randomly selected discharged severe COVID-19 patients were included in the control group. Extracted information was entered into Epi-data 4.6 and exported to SPSS 25 for analysis. Multivariable binary logistic regression was run to assess predictors. The result was presented as an adjusted odds ratio with a 95% confidence interval. Variables with a 95% confidence interval which not included one were considered statistically significant. RESULT: A total of 372 (124 cases and 248 controls) patients were included in the study. Multivariable analysis revealed age ≥ 65 years (AOR = 2.62, 95% CI = 1.33-5.14), having shortness of breath (AOR = 1.87, 95% CI = 1.02-3.44), fatigue (AOR 1.78, 95% CI = 1.09-2.90), altered consciousness (AOR 3.02, 95% CI = 1.40, 6.49), diabetic Mellitus (AOR = 2.79, 95% CI = 1.16-6.73), chronic cerebrovascular disease (AOR = 2.1, 95% CI = 1.23, 3.88) were found to be predictors of death. CONCLUSION: Older age, shortness of breath, fatigue, altered consciousness, and comorbidity were predictors of death in Severe COVID-19 patients.

Shift-work sleep disorder among health care workers at public hospitals, the case of Sidama national regional state, Ethiopia: A multicenter cross-sectional study.

INTRODUCTION: Shift-work disrupts circadian rhythm, resulting in disturbed sleep time and excessive sleepiness during the work shift. Little is known about shift-work sleep disorder among health care workers in Ethiopia. This study examined the magnitude and associated factors of shift-work sleep disorder among health care workers in Public Hospitals in Sidama National Regional State, Southern Ethiopia. METHODS: An institution-based cross-sectional study was carried out on 398 health care workers selected using a systematic random sampling technique. A self-administered structured questionnaire consisting of insomnia, sleepiness scales and international classification of sleep disorder criteria items was employed. Epi data version 4.6 and Stata 14 were used for data entry and statistical analysis respectively. Binary logistic regression was fitted to determine associated factors and decision for the statistical significance was made at p<0.05 in the multivariable binary logistic regression. RESULTS: Three hundred and ninety-eight health care workers (female = 53%) were included in the analysis with a response rate of 94.8%. The prevalence of shift-work sleep disorder was 33.67% (95% CI: 29.17%-38.45%). Being married (AOR = 1.88 (1.01-3.28)), three-shift (AOR = 1.078 (1.00-3.16)), ≥11 night shifts per month (AOR = 2.44 (1.36-4.38)), missing nap (AOR = 1.85 (1.04-3.30)), daily sleep time < 7hours (AOR = 1.88 (1.05-3.38)), khat chewing (AOR = 2.98 (1.27-8.09)), alcohol drinking (AOR = 2.6(1.45-4.92)), and cigarette smoking (AOR = 3.32 (1.35-8.14)) were significantly associated with shift-work sleep disorder. CONCLUSION: This study showed a high prevalence of shift-work sleep disorder. Two shift schedule, napping, and reduction of substance use might reduce shift-work sleep disorder.