Prevalence and Predictors of Gestational Diabetes Mellitus in Sub‐Saharan Africa: A 10‐Year Systematic Review

Author:

Abera Daniel Ataanya12ORCID,Larbie Christopher2,Abugri James3,Ofosu Mina1,Mutocheluh Mohamed4,Dongsogo Julius5

Affiliation:

1. Department of Laboratory Technology, Faculty of Health Sciences Kumasi Technical University Kumasi Ghana

2. Department of Biochemistry and Biotechnology, Faculty of Bioscience, College of Science Kwame Nkrumah University of Science and Technology Kumasi Ghana

3. Department of Biochemistry and Forensic Sciences, School of Chemical and Biochemical Sciences C. K. Tedam University of Technology and Applied Sciences Navrongo Ghana

4. Department of Clinical Microbiology, School of Medical Science Kwame Nkrumah University of Science and Technology Kumasi Ghana

5. Department of Biochemistry, Faculty of Biosciences University for Development Studies Tamale Ghana

Abstract

ABSTRACTBackgroundGestational diabetes mellitus (GDM) remains a global public health problem, which affects the well‐being of mothers and their children in sub‐Saharan Africa (SSA). Studies conducted in different geographical areas provide varied results on its prevalence and predictors. Understanding the extent and predictors of GDM in SSA is important for developing effective interventions and policies. Thus, this review aimed to investigate the prevalence of GDM and its predictive factors in sub‐Saharan Africa.MethodsWe followed the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) standards in this review. An extensive search of the PubMed, Web of Sciences and EMBASE databases was carried out covering papers from 2012 to 2022 to assess the prevalence and predictors of GDM. Microsoft Excel 2019 was utilised for study management. GraphPad Prism Version 8.0 and the MedCalc statistical software were employed for data analysis. The findings were analysed using textual descriptions, tables, forest plots and heat maps.ResultsUsing 30 studies with 23,760 participants that satisfied the inclusion criteria, the review found the overall prevalence of GDM in SSA to be 3.05% (1.85%–4.54%). History of preterm delivery, alcohol consumption, family history of diabetes, history of stillbirths, history of macrosomia, overweight or obesity and advanced mother age were all significant predictors of gestational diabetes. Additionally, various biomarkers such as haemoglobin, adiponectin, leptin, resistin, visfatin, vitamin D, triglycerides and dietary intake type were identified as significant predictors of GDM.ConclusionIn sub‐Saharan Africa, there is a high pooled prevalence of gestational diabetes mellitus. In the light of the predictors of GDM identified in this review, it is strongly recommended to implement early screening for women at risk of developing gestational diabetes during their pregnancy. This proactive approach is essential for enhancing the overall well‐being of both mothers and children.

Publisher

Wiley

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