ABSTRACT
The WHO, on 30 January 2020, declared the Chinese outbreak of coronavirus disease 2019 (COVID-19) a global community health emergency that poses a serious threat to vulnerable healthcare systems. This review protocol will be conducted to systematically review and to perform a meta-analysis on the impact of COVID-19 among newborns in Africa. All observational studies on the impact of COVID-19 among newborns in Africa will be included. A standard quest strategy to retrieve studies was conducted on several databases (Google Scholar, PubMed/MEDLINE, EMBASE, HINARI, Cochrane Library, WHO COVID-19 database, Africa Wide Knowledge and Web of Science). Two independent authors were tasked to extract key data and to assess the risk of bias. To assess possible publication bias, funnel plot test and Egger's test methods will be used. The description will be used to show the COVID-19 distribution data by interest variables such as residence, setting and person-level characteristics. The findings of this review will notify healthcare professionals about the burden and impact of COVID-19 and provide evidence to bring about the requisite improvements in clinical practice.
ABSTRACT
OBJECTIVE: The objective of this study was to assess magnitude of metabolic syndrome and its associated factors among type 2 diabetes mellitus patients in Ayder Comprehensive Specialized Hospital. A hospital based cross sectional study design was used. Binary logistic regression model was used. RESULT: A total of 419 respondents (208 males and 211 females) were enrolled; the mean age was 56.39 (SD 10.18), 51.1% of the respondents had metabolic syndrome according to international diabetes federation. Sex and age were statistically associated with metabolic syndrome with [AOR (95% CI) 1.93 (1.057, 3.533) and 1.04 (1.012, 1.072)] respectively. Regular physical exercise, overweight and obesity were statistically associated with metabolic syndrome with [AOR (95% CI) 1.84 (1.002, 3.362), 2.68 (1.518, 4.747) and 3.55 (1.254, 10.074)] respectively. To conclude, Magnitude of metabolic syndrome was high. The associated factors for metabolic syndrome are physical inactivity, inadequate intake of fruits, family history, overweight, and obesity.
