Metabolic syndrome among type 2 diabetic patients in Sub-Saharan African countries: A systematic review and meta-analysis. Issue 5 (September 2020)

• Record Type: Journal Article
• Authors: Shiferaw, Wondimeneh Shibabaw; Akalu, Tadesse Yirga; Gedefaw, Mihretie; Anthony, Denis; Kassie, Ayelign Mengesha; Misganaw Kebede, Worku; Mulugeta, Henok; Dessie, Getenet; Aynalem, Yared Asmare
• Is Part Of: Diabetes & metabolic syndrome. Volume 14:Issue 5(2020)
• Page Start: 1403
• Page End: 1411
• Publication Date: 2020-09
• Subjects: Metabolic syndrome -- Prevalence -- Type2 diabetes mellitus -- Sub-Saharan Africa; Diabetes -- Periodicals; Metabolism -- Disorders -- Periodicals; Diabetes Mellitus -- Periodicals; Metabolic Diseases -- Periodicals; Diabète -- Périodiques; Métabolisme, Troubles du -- Périodiques; Endocrinologie -- Périodiques; Diabète -- Physiopathologie -- Périodiques; Diabetes; Metabolism -- Disorders; Electronic journals; Periodicals; 616.462
• DOI: 10.1016/j.dsx.2020.07.013
• Languages: English
• ISSNs: 1871-4021

Abstract

Abstract: Background and aims: Metabolic syndrome is one of the serious public health problems among type 2 diabetic patients. Despite a number of studies have been conducted, there is no overall estimation on the prevalence of metabolic syndrome among type 2 diabetic patients in Sub-Saharan African countries. Therefore, this study aimed to estimate the pooled prevalence of metabolic syndrome in patients with type 2 diabetes mellitus in Sub –Saharan African countries. Methods: PubMed, Web of Science, African Journals Online, Google Scholar, Scopus, and Wiley Online Library databases from inception to April 27, 2020 were searched to identify relevant studies. The I 2 statistic was used to check heterogeneity across the included studies. DerSimonian and Laird random-effects model was applied to estimate pooled effect size, and 95% confidence interval across studies. A funnel plot and Egger's regression test were used to determine the presence of publication bias. Sensitivity analysis was deployed to determine the effect of a single study on the overall estimation. All statistical analyses were done using STATA™ Version 14 software. Result: In this meta-analysis, a total of 23 studies with 6482 study participants were included. The estimated prevalence of metabolic syndrome in Sub-Saharan African countries was 59.62% (95% CI: 52.20, 67.03). Based on the subgroup analysis, the highest prevalence of metabolic syndrome (61.14%, 95% CI: 51.74, 70.53) was reported in Ethiopia. Additionally, the highest prevalence of metabolic syndrome was reported across studies using the diagnostic criteria of National Cholesterol Education Program Adult Treatment Panel III 64.8% (95% CI: 54.74, 74.86), followed by International Diabetic Federation (57.15%), and World health Organization (53.12%) definitions. Conclusion: Almost two out of three type 2 diabetic patients in Sub-Saharan African countries have metabolic syndrome, which implies that its prevalence is high in patients with type 2 diabetes mellitus. Therefore, policymakers need to design efficient strategies and guideline to reduce and control the burden of metabolic syndrome and its impact among diabetic population. Highlights: Almost two out of three type 2 diabetic patients in Sub-Saharan African countries have metabolic syndrome. The highest prevalence of MetS have been reported in Ethiopia (61.14%), followed by Ghana (59.54%). Situation-based interventions and country context-specific preventive strategies should be developed.