BackgroundIt is well known that dyslipidemia and chronic hyperglycemia increase the onset of diabetes and diabetic complication. The aim of this study is to see the association of trace metals elements and lipid profile among type 2 diabetes mellitus patients.MethodsThe study was conducted on 214 type 2 diabetic patients at Jimma University Specialized Hospital, Jimma, Ethiopia. All the eligible study participants responded to the structured interviewer administered questionnaire and fasting venous blood was drawn for biochemical analysis. Trace metal elements (zinc(Zn+2), magnesium(Mg+2), chromium(Cr+3), calcium(Ca+2), phosphorus(Po4 −3), manganese(Mn+2), copper(Cu+2), and iron(Fe+3)) and lipid profiles (total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein (HDL-C), and triglycerides (TG)) were measured by atomic absorption spectrophotometry and enzymatic determination method respectively. Data were analyzed by SPSS version 24 software for windows. Bonferroni correction for multiple statistical comparisons was used and a p-value less than 0.01 were accepted as a level of significance.ResultThe mean age of study participants was 42.95(±12.6) with an average of 5.83(±3.1) years being diagnosed with diabetes mellitus. The BMI of female (27.1(±4.9)) was significantly higher than male (25.21(±4.2)). BMI shows positive and significant (p < 0.01) association with lipid profiles (TC, LDL-C, and TG) among type 2 diabetic patients in the liner regression model. In addition, WH-R was positively associated with TG. In Pearson partial correlation adjusted for sex and age, Za+2 shown to have statistically significant and negative correlations with TC, LDL-C and with TG. Mg+2 and Cr+2 negatively and significantly correlated with the lipid profile TC and LDL-C. Ca+2 negatively correlated with TC and TG. Po−3 4 positively correlated with HDL-C; iron negatively correlated with TC. However, in the liner regression model, only calcium positively and significantly (Beta = −0.21, p < 0.01) associated with TG.ConclusionIn the current study, a negative correlation was observed between trace metal elements (Zn+2, Mg+2, Cr+3, Ca+2 and Fe+3) and lipid profile (TC, LDL-C and TG) among type 2 diabetes mellitus patients. In addition, Ca+2 observed to be associated with TG. Future studies are highly advised to uncover the bidirectional association between trace metal element and dyslipidemia in diabetic patients.

BackgroundThe chronic hyperglycemia of diabetes has been associated with an imbalance of some trace metal elements in the blood sample of type 2 diabetes patients.AimTo evaluate the status of serum ferritin and some selected metal elements among type 2 diabetes mellitus (T2DM) patients.MethodsFacility-based comparative cross-sectional study was conducted from February 15, 2015 to October 30, 2015, at Jimma University Specialized Hospital, Ethiopia. A total of 428 type 2 diabetes and nondiabetes study subjects were recruited to the study. After overnight fasting, 10 mL of venous blood samples were taken for biochemical and trace metal element analysis. Data were entered into EpiData version 3.5.1 and exported to SPSS version 20 for Windows for analysis.ResultsSerum concentration of Zn+2, Mg+2, Cr+3, ferritin, and Fe+3 in patients with type 2 diabetes was significantly lower (p<0.0001) than nondiabetes patients. In contrast, serum Cu+2 was significantly higher (p<0.0001) in type 2 diabetes patients than nondiabetics. In addition, significant differences were not seen in both groups with regard to serum Mn+2, Ca+2, and Po4−3. Waist-to-hip ratio (WHR), serum Fe+3, ferritin, and Mn+2 were significantly higher among oral hypoglycemic agent users of type 2 diabetes patients than the injectable insulin users. Serum Zn+2 had significant positive correlation with serum Mg+2 (r=0.738), Cr+3 (r=0.233), Ca+2 (r=0.238), and Po4−3 (r=0.222). In addition, serum Zn+2 had shown significant and negative correlation with body mass index (BMI, r=−0.331), WHR (r=−0.340), and fasting blood glucose (FBG, r=−0.186). Likewise, serum Mg+2 and Po4−3 are significantly and negatively correlated with BMI, WHR, and FBG.ConclusionThe imbalance of trace metal elements in the blood sample of diabetes is uncertain. Thus, we recommend a prospective cohort study to find out the principal factors behind the problem.

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Background Ectopic pregnancy is an abnormal condition in which implantation of the blastocyst occurs outside the endometrium of the uterus. It is gynecological important, particularly in the developing world, because of associated with enormous rate of high morbidity, during the first trimester of pregnancy. A better understanding of its risk factors can help to prevent its prevalence. However, the determinants of ectopic pregnancy are not well understood and few researches conducted in our country were based on secondary data covering small scale area. This study aimed to identify determinants of ectopic pregnancy among pregnant women attending referral hospitals in Southwestern part of Oromia regional state, Southwest Ethiopia. Methods Hospital-based case control study was employed from June 1 to September 30, 2019. The study was conducted in five referral hospitals in Southwestern part of Oromia regional state. Final sample size includes 59 cases and 118 controls. Data were entered by using Epidata version 3.1 and analyzed using SPSS version 23. Descriptive statistics were used to explore the data. All explanatory variables with p-value of < 0.25 in bi-variable analysis, then entered into multivariable logistic regression. Associated factors were identified at 95% confidence interval (p < 0.05). Results Out of 177 (59 cases and 118 controls) participants, 174 (58 cases and 116 controls) were participating in the study. Prior two or more induced abortions [AOR = 3.95:95% CI: 1.22–13.05], previous history of caesarean section [AOR = 3.4:95% CI: 1.11–10.94], marital status (being single) [AOR = 4.04:95%CI: 1.23–13.21], reporting prior recurrent sexual transmitted infection [AOR = 2.25:95%CI: 1.00–5.51], prior history of tubal surgery [AOR = 3.32:95%CI: 1.09–10.13], were more likely to have an ectopic pregnancy with their respective AOR with 95%CI. Conclusion It was found that having a history of more than two induced abortions during previous pregnancies, marital status (single), recurrent sexual transmitted infection, prior history of tubal surgery and experiencing prior caesarean section were found to be determinants of ectopic pregnancy. Hospitals should give emphasis on prevention and early detection of risks of ectopic pregnancy and create awareness in order to reduce the burden of ectopic pregnancy.

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