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.

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Background Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. MethodsWe used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990-2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. FindingsIn 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73•7% (68•3 to 77•4) were classified as due to type 1 diabetes. The age-standardised death rate was 0•50 (0•44 to 0•58) per 100 000 population, and 15 900 (97•5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0•13 (0•12 to 0•14) per 100 000 population in the high SDI quintile, 0•60 (0•51 to 0•70) per 100 000 population in the low-middle SDI quintile, and 0•71 (0•60 to 0•86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r²=0•62). From 1990 to 2019, age-standardised death rates decreased globally by 17•0% (-28•4 to -2•9) for all diabetes, and by 21•0% (-33•0 to -5•9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (-13•6% [-28•4 to 3•4]) and for type 1 diabetes (-13•6% [-29•3 to 8•9]). Interpretation Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. Funding Bill & Melinda Gates Foundation.

Background: Dyslipidemia is a group of plasma lipid and lipoprotein abnormality that is metabolically associated, and it is categorized by low HDL-C and increased LDL-C, TGs, and total cholesterol (TC) levels. Colonization of the stomach by Helicobacter pylori (H. pylori) causes chronic inflammation of the stomach wall which can change some biochemical factors in the patient. On the association of H. pylori infection and its contributions to change in serum lipid profile, different studies reported varying outcomes. Objective: To assess the prevalence of dyslipidemia and associated factors among patients suspected for H. pylori infection in the outpatient department of

Introduction In Ethiopia, more than four million children are anticipated to live under particularly difficult circumstances. Street children are subject to violence, a lack of health care, and a lack of education. Which denies them the right to live in a secure environment and exposes them to different health problems. Currently, little is known about the prevalence of Streetism, including health conditions. Therefore, this study was aimed to assess the health status of street children and determinants of Streetism. Methods Mixed methods (sequential) were employed from February 1 to 28, 2021. Quantitative cross-sectional study design and phenomenological qualitative designs were applied. Overall, 220 street children were involved in the study. The most common reason that forced the children to resort to a street way of life is to look for a job and quarreled with parents. The data were collected using interviews methods. Chi-square test and multiple binary logistic regression were applied to examine the variations among variables with the health status of street children. Qualitative data were analyzed using the thematic analysis technique. Results The study included a total of 220 street children. As to the quantitative study, the majority of study participants (92.73%) drank alcohol regularly. Depression (39.22%) and peer pressure (43.14%) were the most common initiation causes of drinking alcohol. According to a qualitative study report, "Street children are mostly affected by the communicable disease” and… They are addicted to substances like benzene” which had a profound effect on their health.” Furthermore, the study discovered a statistically significant association between respondents’ health status and sociodemographic characteristics (age and educational status), job presence, and drug use. Conclusion This study identified the factors that drove street children to live on the streets, such as the inability to find work and disagreements with their parents. The majority of the street children were affected by preventable and treatable diseases. Unfortunately, almost all street children reported drinking alcohol, which exposed them to a variety of health problems. In general, the study discovered that street children require immediate attention. Decision-makers and academicians should collaborate to develop a plan for these children’s health and social interventions.