37 research outputs found
sj-docx-1-smo-10.1177_20503121211066682 – Supplemental material for COVID-19-related anxiety and knowledge toward its preventive measures among patients with chronic medical illness on follow-up in public hospitals of Bale, East Bale, and West Arsi zones, Ethiopia
No full textSupplemental material, sj-docx-1-smo-10.1177_20503121211066682 for COVID-19-related anxiety and knowledge toward its preventive measures among patients with chronic medical illness on follow-up in public hospitals of Bale, East Bale, and West Arsi zones, Ethiopia by Ahmed Yasin, Tesfaye Asefa, Abule Takele, Genet Fikadu, Biniyam Sahiledengle, Birhanu Tura, Addisu Gemmechu, Mohammed awel Abduku, Demisu Zenbaba, Edao Tesa, Alelign Tasew, Yohannes Tekalign, Adem Abdulkadir, Kenbon Seyoum, Garoma Morka, Adem Esmael, Gemechu Ganfure, Zinash Teferu, Eshetu Nigussie, Alemu Girma, Tadele Regasa, Kebebe Bekele, Abdi Tesema, Makida Kemal, Heyder Usman, Gebisa Haile, Asfaw Negero, Daniel Atlaw, Safi Haji, Mohammedaman Mamma, Damtew Solomon and Habtamu Gezahegn in SAGE Open Medicine</p
Model comparators and random effect parameters of the study to assess the determinants of overweight and obesity among men aged 15–59 years in urban Ethiopia, 2016 EDHS.
No full textModel comparators and random effect parameters of the study to assess the determinants of overweight and obesity among men aged 15–59 years in urban Ethiopia, 2016 EDHS.</p
Bi-variable and multi-variable multilevel logistic regression analysis to assess the determinants of overweight and obesity among men aged 15–59 years in urban Ethiopia, 2016 EDHS.
No full textBi-variable and multi-variable multilevel logistic regression analysis to assess the determinants of overweight and obesity among men aged 15–59 years in urban Ethiopia, 2016 EDHS.</p
Sociodemographic characteristics of men aged 15–59 years in urban Ethiopia, 2016 EDHS, (N<sup>a</sup> = 2259).
No full textSociodemographic characteristics of men aged 15–59 years in urban Ethiopia, 2016 EDHS, (Na = 2259).</p
Shows the prevalence of anemia and its type among adult DM patients attending Bale zone hospitals South-east Ethiopia, from September 2020 to January 2021.
No full textShows the prevalence of anemia and its type among adult DM patients attending Bale zone hospitals South-east Ethiopia, from September 2020 to January 2021.</p
Barbers’ compliance with biological hazard preventive measures and predictors in selected towns, Southeast Ethiopia: a cross-sectional study
No full textObjective The barber’s profession exposes their customers to several health risks. Negligence when using sharp instruments in barbershops can increase the risk of bloodborne infections, resulting in serious health problems for both the barber and the customer. Evidence for compliance with biological hazard preventive measures and predictors among barbers is critical and urgent. Thus, we aimed to assess compliance with biological hazard preventive measures and predictors among barbers in selected towns in Southeast Ethiopia.Methods A cross-sectional study was conducted among 633 randomly selected barbers from 1 March to 30 March 2022. A multistage sampling followed by a systematic sampling and simple random sampling methods were used to select barbershops and barbers, respectively. We used a pretested interviewer-administered questionnaire and an observational checklist to collect data. Multinomial logistic regression analysis was used to identify predictors. An adjusted OR (AOR), along with a 95% CI and p<0.05, was used to estimate the strength of the association.Results The good compliance level with biological hazard preventive measures was 47.10% (95% CI: 43.2%, 50.70%). Being married (AOR=3.04, 95% CI: 1.71, 8.56), aged from 25 to 34 years (AOR=2.75, 95% CI: 1.13, 8.06), served for ≤5 years (AOR=1.72, 95% CI: 1.24, 3.85), attending high school and above (AOR=4.32, 95% CI: 1.31, 12.73), being professional (AOR=6.34, 95% CI: 2.03, 11.36), having a positive attitude (AOR=2.95, 95% CI: 1.06, 8.22) and having good knowledge towards biological hazard preventive measures (AOR=3.14, 95% CI: 1.42, 9.25) were significant predictors of moderate and good compliance with biological hazard preventive measures.Conclusion The study’s findings revealed that almost half of the barbers were in good compliance with biological hazard preventive measures. As a result, improving barbers’ attitudes and knowledge through on-the-job training is indispensable
Underweight among lactating mothers by background individual and community-level characteristics in Ethiopia, 2016 (n = 3,848).
No full textUnderweight among lactating mothers by background individual and community-level characteristics in Ethiopia, 2016 (n = 3,848).</p
The prevalence of diabetic complications among adult diabetic patients attending Bale zone hospitals from September 2020 to January 2021.
No full textThe prevalence of diabetic complications among adult diabetic patients attending Bale zone hospitals from September 2020 to January 2021.</p
Community-level variance and model comparison of multilevel logistic regression model predicting under-weight among lactating mothers, Ethiopia 2016.
No full textCommunity-level variance and model comparison of multilevel logistic regression model predicting under-weight among lactating mothers, Ethiopia 2016.</p
