Prevalence of haemoparasites and associated risk factors in working donkeys in Adigudem and Kwiha districts of Tigray region, Northern Ethiopia

10.5580/75d ◽  
2010 ◽  
Vol 8 (1) ◽  
Keyword(s):  
Risk Factors ◽  
Northern Ethiopia ◽  
Tigray Region ◽  
Associated Risk Factors

scholarly journals Virological and immunological failure of HAART and associated risk factors among adults and adolescents in the Tigray region of Northern Ethiopia

PLoS ONE ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. e0196259 ◽  
Author(s):  
Genet Gebrehiwet Hailu ◽  
Dawit Gebregziabher Hagos ◽  
Amlsha Kahsay Hagos ◽  
Araya Gebreyesus Wasihun ◽  
Tsehaye Asmelash Dejene
Keyword(s):  
Risk Factors ◽  
Northern Ethiopia ◽  
Immunological Failure ◽  
Tigray Region ◽  
Associated Risk Factors

scholarly journals Prevalence of Haemoparasites and Associated Risk Factors in Working Donkeys in Adigudem and Kwiha Districts of Tigray Region, Northern Ethiopia

2010 ◽  
Vol 9 (17) ◽  
pp. 2249-2255 ◽  
Author(s):  
Berhanu Mekibib ◽  
Mesfin Manegerew ◽  
Abebayehu Tadesse ◽  
Fufa Abuna ◽  
Bekele Megersa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Northern Ethiopia ◽  
Tigray Region ◽  
Associated Risk Factors

scholarly journals Intestinal parasitosis, anaemia and risk factors among pre-school children in Tigray region, northern Ethiopia

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Araya Gebreyesus Wasihun ◽  
Mekonen Teferi ◽  
Letemichal Negash ◽  
Javier Marugán ◽  
Dejen Yemane ◽  
...  
Keyword(s):  
Risk Factors ◽  
School Children ◽  
Northern Ethiopia ◽  
Tigray Region ◽  
Intestinal Parasitosis

scholarly journals Risk factors for diarrhoea and malnutrition among children under the age of 5 years in the Tigray Region of Northern Ethiopia

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207743 ◽  
Author(s):  
Araya Gebreyesus Wasihun ◽  
Tsehaye Asmelash Dejene ◽  
Mekonen Teferi ◽  
Javier Marugán ◽  
Letemichal Negash ◽  
...  
Keyword(s):  
Risk Factors ◽  
Northern Ethiopia ◽  
Tigray Region

scholarly journals Magnitude, components and predictors of metabolic syndrome in Northern Ethiopia: Evidences from regional NCDs STEPS survey, 2016

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253317
Author(s):  
Kiros Fenta Ajemu ◽  
Abraham Aregay Desta ◽  
Asfawosen Aregay Berhe ◽  
Ataklti Gebretsadik Woldegebriel ◽  
Nega Mamo Bezabih ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Statistical Significance ◽  
Strong Association ◽  
Fasting Blood Glucose ◽  
P Value ◽  
Northern Ethiopia ◽  
Tigray Region ◽  
Steps Survey ◽  
Low Hdl

Background Individuals with metabolic syndrome are five times more susceptible to chronic diseases. Assessment of its magnitude, components, and risk factors is essentials to deploy visible interventions needed to avoid further complications. The study aimed to assess magnitude, components, and predictors of metabolic syndrome in Tigray region northern Ethiopia, 2016. Methods Data were reviewed from Tigray region NCDs STEPs survey data base between May to June 2016. A total of 1476 adults aged 18–64 years were enrolled for the study. Multi-variable regression analysis was performed to estimate the net effect of size to risk factors associated with metabolic syndrome. Statistical significance was declared at p-value of ≤0.05 at 95% confidence interval (CI) for an adjusted odds ratio (AOR). Results The study revealed that unadjusted and adjusted prevalence rate of Metabolic Syndrome (MetS) were (CPR = 33.79%; 95%CI: 31.29%–36.36%) and (APR = 34.2%; 95% CI: 30.31%–38.06%) respectively. The most prevalent MetS component was low HDL concentration (CPR = 70.91%; 95%CI: 68.47%–73.27%) and (APR = 70.61; 95%CI; 67.17–74.05). While; high fasting blood glucose (CPR = 20.01% (95%CI: 18.03–22.12) and (APR = 21.72; 95%CI; 18.41–25.03) was the least ones. Eating vegetables four days a week, (AOR = 3.69, 95%CI; 1.33–10.22), a salt sauce added in the food some times (AOR = 5.06, 95%CI; 2.07–12.34), overweight (AOR = 24.28, 95%CI; 10.08–58.47] and obesity (AOR = 38.81; 12.20–111.04) had strong association with MetS. Conclusion The magnitude of metabolic syndrome was found to be close to the national estimate. Community awareness on life style modification based on identified MetS components and risk factors is needed to avoid further complications.

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