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Background: Newborn anemia is among the most common hematological problems and it can cause asymptomatic or severe to acute life-threatening events. It leads to impairment in brain maturation and development, tissue hypoxia, and stunted growth and then arrested growth if left untreated. The prevalence of anemia among newborns ranges from 23.4-66% in sub-Saharan Africa. But, there is limited information in Ethiopia regarding the prevalence of newborn anemia and its risk factors. Therefore, this study aimed to determine the prevalence of newborn anemia and its associated factors at Jimma Medical Center (JMC), South-west Ethiopia. Methods: A hospital-based cross-sectional study design was implemented from January 14 to February 28, 2021, involving 288 full-term newborns by employing consecutive convenient sampling technique for study participant selection. Socio-demographic data and other associated factors were collected through interviews and a review of medical records by a structured questionnaire. Three mL umbilical cord blood samples from each newborn were collected and analyzed for a complete blood count by an automated hematological analyzer. Data were entered into Epi Data version 3.1 and exported to Statistical Package for Social Science version 20 for analysis. Binary logistic regression were used to identify the predictors of newborn anemia. Results: The overall prevalence of anemia among newborns was 26.4%; of them, 65.8%, 25%, and 9.2% were mild, moderate, and severe anemia types, respectively. Maternal vegetable consumption habit (AOR = 0.26, 95% CI: 0.11, 0.62) and maternal anemia (AOR = 0.34, 95% CI: 0.17, 0.69) were significantly associated with anemia in newborns. Conclusion: In general, newborn anemia in this study was a moderate public health problem. Based on this study, early screening of anemia among newborns may reduce further complications. Prevention of maternal anemia during pregnancy by improving their nutritional status especially vegetable consumption had a positive impact on reducing anemia among newborns.
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Background: Anemia is among the major public health problems that cause significant morbidity and mortality among children around the world. Anemia in children of age 6 months to 5 years is a major health problem in most developing world countries with estimated prevalence of about 43%. Objective: To determine the magnitude, associated factors and morphological types of anemia among hospitalized 6-59 months age children from June 15 to October 15, 2022 at Jimma Medical Center, southwest Ethiopia. Methodology: Hospital-based cross- sectional study design was conducted from June 15 to October 15, 2022 at Jimma Medical Center, involving 383 hospitalized children aged 6-59 months by employing convenient sampling technique. Data of sociodemographic characteristics and other associated factors of the study individuals waere collected using a pre-structured questionnaire. Clinical data were collected by physical examination and from history of client by medical interns and nurses. Then 3 mL venous blood was collected and analyzed for complete blood count. Data were coded, cleared and entered into EpiData version 4.6 and exported to SPSS version 25 for analysis. Bivariable and multivariable binary logistic regression was used to identify associated factors. Results: The overall prevalence of anemia among hospitalized 6-59 months age children was 57.2%; out of them 30.82% were moderate. In the present study children with malaria infection, AOR = 1.15 (95% CI: 0.017, 0.781), Cchildren with severe malnutrition, AOR = 2.046 (95% CI: 0.306, 1.366), and children with low family income, AOR = 2.6 (95% CI 0.475, 0.894) were independent variables associated with anemia. Conclusion and Recommendation: Anemia among study participants is found to be a severe public health problem. Based on this finding, more intervention is needed with health education on nutrition and child feeding.
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BACKGROUND: Diabetes is a chronic metabolic syndrome that has become a global public health problem with significant morbidity and mortality. It is a pro-inflammatory and pro-thrombotic condition characterized by increased platelet activation and alterations in platelet indices. However, the use of platelet indices as predictors of poor glucoregulation has not been fully evaluated in this context, and evidence for their role as predictors of poor glycemic status in diabetic patients is limited. AIM: To evaluate platelet indices and determine their prognostic significance in relation to inadequate glucoregulation among individuals diagnosed with type 2 diabetes at Bishoftu General Hospital in Ethiopia, from June 15 to August 12, 2022. METHODS: A comparative cross-sectional study was conducted in 261 participants including 174 individuals with type 2 diabetes mellitus (T2DM) and 87 non-diabetic controls. The systematic random sampling technique was used to select par-ticipants. Data were collected using structured questionnaires, physical measurements, checklists, and laboratory tests. Platelet parameters and fasting blood glucose levels were determined from blood samples using Sysmex-XN550 and CobasC311 analyzers, respectively. The hematology analyzer output was checked and participants were also screened for malaria parasites using a prepared blood smear. Collected data were entered into Epi-data version 3.1 and exported to SPSS version 25 for analysis. The χ 2 test, Mann-Whitney U test, Kruskal-Wallis test, post hoc test, Spearman correlation, and receiver operating characteristic curve were used for analysis. A P value < 0.05 was considered statistically significant. RESULTS: The results of our study indicate that diabetic patients have significantly higher levels of platelet distribution width (PDW), mean platelet volume (MPV), platelet large cell ratio (PLCR), and plateletcrit (PCT) compared to healthy individuals (P < 0.001). Furthermore, these indices were found to be significantly elevated in individuals with poor glycemic control in T2DM compared to those with good glycemic control and healthy controls. We also observed significant correlations between these indices and various anthropometric and clinical variables. Our findings suggest that PDW, with a cut-off value of 15.75 fL and an area under the curve (AUC) of 0.803, MPV, with a cut-off value of 12.25 fL and an AUC of 0.774, PLCR, with a cut-off value of 36.3% and an AUC of 0.775, and PCT, with a cut-off value of 0.24% and an AUC of 0.761, can serve as predictors of poor glycemic control in patients with diabetes mellitus. CONCLUSION: The observed correlation between diabetic patients and a significant increase in platelet indices has highlighted their potential as predictors of poor glycemic control in diabetes. Therefore, regular screening and profiling of platelet indices is recommended as part of the follow-up process for individuals with diabetes mellitus.