Ethiopia is one of the countries in sub-Saharan Africa with the highest burden of childhood undernutrition. Despite the high burden of this scourge, little is known about the magnitude and contributing determinants to anthropometric failure among children aged 0–23 months, a period regarded as the best window of opportunity for interventions against undernutrition. This study examined factors associated with undernutrition (stunting, wasting, and underweight) among Ethiopian children aged 0–23 months. This study used a total weighted sample of 2146 children aged 0–23 months from the 2019 Ethiopian Mini Demographic and Health Survey. The data were cleaned and weighted using STATA version 14.0. Height-for-age (HFA), weight-for-height (WFH), and weight-for-age (WFA) z-scores <  − 2 SD were calculated and classified as stunted, wasting, and underweight, respectively. Multilevel mixed-effects logistic regression models adjusted for cluster and survey weights were used. Adjusted odds ratio (AOR) and 95% confidence interval (CI) were estimated. Statistical significance was declared at p < 0.05. The overall weighted prevalence of stunting, wasting, and underweight respectively were 27.21% [95% CI (25.32–29.18)], 7.80% [95% CI (6.71–9.03)], and 16.44% [95% CI (14.90–18.09)] among children aged 0–23 months in Ethiopia. Female children were less likely to be associated with stunting [AOR: 0.68, 95% CI (0.54–0.86)], wasting [AOR: 0.70, 95% CI (0.51, 0.98)], and underweight [AOR: 0.64, 95% CI (0.49, 0.83)] than their male counterparts. Conversely, older children aged 12–17 months [AOR: 2.22, 95% CI (1.52, 3.23)] and 18–23 months [AOR: 4.16, 95% CI (2.75, 6.27)] were significantly at an increased odds of becoming stunted. Similarly, the likelihood of being underweight was higher in older age groups: 6–11 months [AOR: 1.74, 95% CI (1.15, 2.63)], 12–17 months [AOR: 2.13, 95% CI (1.40, 3.24)], and 18–23 months [AOR: 4.08, 95% CI (2.58, 6.44)] compared with the children younger than 6 months. Lower wealth quintile was one of the other significant determinants of stunting and underweight. The study’s findings indicated that the most consistent significant risk factors for undernutrition among children aged 0–23 months are: male sex, older age groups and lower wealth quintile. These findings emphasize the importance of strengthening nutrition-specific and sensitive interventions that address the immediate and underlying drivers of childhood undernutrition in early life, as well as targeting low-income households with male children, in order for Ethiopia to meet the Sustainable Development Goals (SDGs) 1,2 and 3 by 2030.

ObjectivesIn order to maximise the prevention of hospital-acquired infections (HAIs) and antimicrobial resistance, data on the incidence of HAIs are crucial. In Ethiopia, data about the occurrence of HAIs among hospitalised paediatric patients are lacking. We aim to determine the incidence and risk factors of HAIs among paediatric patients in Ethiopia.DesignA prospective cohort study.SettingA teaching hospital in southeast Ethiopia.Participants448 hospitalised paediatric patients admitted between 1 November 2018 and 30 June 2019.Primary and secondary outcome measuresIncidence and risk factors of hospital-acquired infections.ResultsA total of 448 paediatric patients were followed for 3227 patient days. The median age of the patients was 8 months (IQR: 2–26 months). The incidence rate of HAIs was 17.7 per 1000 paediatric days of follow-up; while the overall cumulative incidence was 12.7% (95% CI 9.8% to 15.8%) over 8 months. Children who stayed greater than 6 days in the hospital (median day) (adjusted risk ratio (RR): 2.58, 95% CI 1.52 to 4.38), and children with underlying disease conditions of severe acute malnutrition (adjusted RR: 2.83, 95% CI 1.61 to 4.97) had higher risks of developing HAIs.ConclusionsThe overall cumulative incidence of HAIs was about 13 per 100 admitted children. Length of stay in the hospital and underlying conditions of severe acute malnutrition were found to be important factors associated with increased risk of HAIs.

Background Anemia found in diabetes patients is often unrecognized like many other chronic diseases. The occurrence of anemia is also an additional burden to the micro vascular complications of patients with diabetes. In the selected study structure no published data were found on the prevalence of anemia and associated factors in diabetic patients. Hence, the findings of this study are very fruitful as an input for further studies and after the repetition of similar studies in different frameworks. It is helpful as input for the development of guidelines at diabetes clinics to request the laboratory assessment of hemoglobin as a routine activity. Objective This study aimed to assess the prevalence of anemia and its associated factors among diabetic patients who attended Bale zone hospitals. Methods A cross-sectional study design was conducted from September 2020–to January 2021 GC among adult diabetic patients who had follow-up at Bale zone hospitals. A total of 238 study participants were determined by single population proportion sample size calculation formula taking prevalence of anemia among adult diabetic patients 19.0%. Systematic random sampling technique was used to select the study participants. Information on demographic and associated factors of anemia in diabetic patients was collected using an interviewer-administered questionnaire. Blood sample collection was performed under aseptic conditions by a licensed medical laboratory professional. Data were entered into EpiData version 3.1, cleaned and exported to statistical package for the social sciences (SPSS) version 25 software tools. Logistic regression was used to assess factors associated with anemia in diabetic patients. P-value less than 0.05 and 95% CI were considered as statistically significant. The odds ratios were reported to indicate the strength of associations. Frequencies, percentages, charts and tables were used to summarize the characteristics of study participants. Results In this study anemia among adult diabetic patients is 18.1% (95% CI (13.2, 23.0%). Multivariable logistic regression analysis revealed that the sex of the study participants and the type of diabetes mellitus were found to be statistically significant to associate with anemia. The odds of having anemia among females are nearly three times higher when compared with males (AOR 2.78, 95% CI 1.40–5.52). In addition, the odds of having anemia among adult diabetic patients who had type II diabetes mellitus (AOR 2.18, 95%CI 1.04–4.54) were 2.18 times higher than those who had type I diabetes mellitus patients. Conclusion Nearly one out of five adult diabetic patients had anemia. Sex of the patients and the type of diabetes are associated with anemia among adult diabetic patients.

Background. Globally, around 1.9 million people were dying due to food-borne diseases annually, and intestinal parasites infected one-third of the population, according to estimates and more prevalent in developing countries due to poverty. This study assessed predictors of intestinal parasites among food handlers working in Goba towns. Methods. A laboratory-based cross-sectional study was conducted from October to December 2020. Clean, dry, and leak-proof stool cups were used to collect the samples. The SPSS version 20 computer software was used to enter and clean the data, code it, and analyze it. The researchers performed binary and multivariable logistic regression analyses, with a p value of 0.05 considered significant. Result. A total of 98 (34%) of the 288 food workers tested positive for various intestinal parasites. Giardia lamblia was the most common parasite, with 42 (14.6%), followed by Entamoeba histolytica/dispar with 31 (10.8%), Ascaris lumbricoides with 8 (2.8%), Taenia species with 5 (1.7%), and E. vermicularis with 4 (1.4%). Six (2%) of the 98 positive food handlers had two infections. E. histolytica and G. lamblia were the most common parasites found in mixed infections. Hand washing with soap and water before handling food (AOR: 3.06, 95% CI: 1.16, 7.26) and untrimmed fingernail status (AOR: 2.3, 95% CI: 1.14, 4.34) were found to be strongly linked to intestinal parasite infection. Conclusion. In this investigation, intestinal parasite species were found in 34% of stool samples. Independent predictors of intestinal parasite infection were fingernail status and hand washing with water and soap use before food handling. To control intestinal parasite infection among food handlers in the research area, personal hygiene and ambient cleanliness should be improved.

Background: Mobile phones are potential reservoirs for pathogens and sources of healthcare-associated illnesses. More microbes can be found on a mobile phone than on a man's lavatory seat, the sole of a shoe, or a door handle. When examining patients, frequent handling of mobile phones can spread bacteria and provide a suitable breeding environment for numerous microorganisms. Nevertheless, evidence of bacterial contamination of mobile phones among healthcare workers in Africa was not conclusive. Thus, this meta-analysis and systematic review was conducted to estimate the pooled prevalence of bacterial contamination of mobile phones used by healthcare workers and the most frequent bacterial isolates in Africa. Methods: We systematically retrieved relevant studies using PubMed/MEDLINE, Scopus, POPLINE, HINARI, Science Direct, Cochrane Library databases, and Google Scholar from 2009 to 2021 publication year. We included observational studies that reported the prevalence of bacterial contamination of mobile phones among healthcare workers. Two independent authors assessed the quality of the studies. The DerSimonian-random Laird's effect model was used to calculate effect estimates for the pooled prevalence of bacterial contamination in mobile phones, as well as a 95% confidence interval (CI). Results: Among 3882 retrieved studies, 23 eligible articles with a total sample size of 2,623 study participants were included in the meta-analysis. The pooled prevalence of mobile phones bacterial contamination among healthcare workers was 83.9% (95% CI: 80.6, 87.2%; I 2 = 98%, p-value < 0.001). The most dominant type of bacteria isolated in this review was coagulase-negative staphylococci (CONS) which accounted for 44.5% of the pooled contamination rate of mobile phones used by healthcare workers, followed by Staphylococcus aureus (32.3%), and Escherichia coli (8.4%). Conclusion: The review indicated that the contamination with a different bacterial isolate of mobile phones used by health care workers was high. The most dominant bacterial isolates were Coagulase-negative staphylococci , Staphylococcus aureus , and Escherichia coli . Hence, these findings would have implications for policymakers and resource allocation for preventive measures initiatives.