ABSTRACT
BACKGROUND: Knowledge of the normal variation in AF size may be helpful to cue early diagnosis of congenital hypothyroidism, hyperthyroidism, cardiac disease, meningitis, degree of dehydration or provide a clue to disorders of neural and skeletal development. However, the data is scarce. Therefore, this study was aimed to determine AF size and associated factors among term neonates on the first day of life born in Jimma University Medical Center (JUMC), Southwest Ethiopia. METHODOLOGY: An institution-based cross-sectional study design was used to consecutively sample term and health newborns. Descriptive statistics, one-way ANOVA, independent samples t-test and correlation were implemented. Finally, multiple Linear regressions were used to see the association of the dependent and independent variables at 95% confidence interval. The significance level was declared at <0.05 p-value. RESULTS: The mean AF size of the study population was 3.018 cm with standard deviation (±SD) of 0.909 cm (range 0.4-5.50cm). A multiple linear regression analysis revealed that neonatal birth weight (B=0.001, 95% CI: 0.000-0.001, p=0.000), crown heel length (B=0.048, 95% CI, 0.018-0.078, p=0.002), labor duration (B= -0.028, p=0.001, 95% CI: -0.45; -0.012), and gender of the neonates (B=-0.275, 95% CI: -.441; -.109, p=0.001) were statistically significantly associated with AF size. In a multiple linear regression analysis AF size was explained by independent variables by 54.3%. CONCLUSIONS: AF size of the study population was 3.018 cm with a standard deviation (±SD) of 0.909 cm. Birth weight, crown heel length, duration of labor, and gender of the neonate were significantly associated with AF size.
ABSTRACT
BACKGROUND: The presence of metabolic syndrome among diabetes patients is frequent and is associated with an increased incidence of chronic complications and mortality. Despite several studies have been conducted, there is no overall estimation on the prevalence of metabolic syndrome among type 1 diabetic patients. Therefore, this study aimed to estimate the pooled prevalence of metabolic syndrome among patients with type 1 diabetes mellitus. METHODS: Medline via PubMed, CINAHL, ScienceDirect, Ovid, Google Scholar, ResearchGate and African Journals Online were searched by limiting publication period from January 2005 to October 2020. Data were extracted with a standardized format prepared in Microsoft Excel and exported to Stata 16.0 for analyses. The I2 statistic was used to check heterogeneity across the included studies. DerSimonian and Laird random-effects model was applied to estimate pooled prevalence and 95% confidence interval across studies. Funnel plot symmetry, Begg's test and Egger's regression test were used to determine the presence of publication bias. Subgroup and sensitivity analysis as well as meta-regression were conducted to explore the potential sources of heterogeneity. The study protocol is registered on PROSPERO with reference number: CRD42020213435. RESULTS: In this meta-analysis, a total of 27 studies with 45,811 study participants were included. The pooled prevalence of metabolic syndrome was 23.7% with substantial heterogeneity (I2 = 98.2%; P < 0.001). Geographical-based subgroup analysis revealed that the highest prevalence was observed in Australia (27.3%). As per meta-analysis of 17 studies, the pooled prevalence of metabolic syndrome in female type 1 diabetes patients (25.9%) was slightly higher than male T1DM patients (22.5%). CONCLUSION: Nearly a quarter of the type 1 diabetes mellitus patients were affected by metabolic syndrome. Therefore, more attention should be paid to the prevention and control of the epidemic and for the reduction of the morbidity and mortality associated with metabolic syndrome among type 1 diabetes mellitus patients.
