ABSTRACT
Introduction: Diabetes mellitus is a major public health problem with serious consequences, and more than three-fourths of diabetes live in low- and middle-income countries. According to a recent study, people with prediabetes have nearly six times the risk of developing diabetes than those with normal glucose levels. However, due to the inconsistency and absence of representative data, this study aimed to estimate the prevalence of prediabetes and its associated factors in the adult East African population. Methods: Databases were systematically searched for articles published between January 1, 2013, and December 30, 2022. All observational community-based studies that reported prediabetes prevalence and/or associated factors in adult East African populations were included in the meta-analyses. Three authors independently extracted all required data using the Excel data extraction format and analyzed using Stata™ Version 11. An I2 test was conducted to determine significant heterogeneity. Finally, a random effects model was used to determine the overall prevalence of prediabetes and its associated factors. The study was registered with Prospero number CRD42023389745. Results: The search strategy identified 267 articles. After screening for full-text review, twenty-one articles were included in the final analysis. The overall prevalence of prediabetes was 12.58 % (95 % CI:10.30, 14.86 %) in the adult East African population. Furthermore, the subgroup analysis revealed that prediabetes in the urban population 20 % (95 % CI: 1.60, 38.37) was twice as prevalent as in rural 10.0 % (95 % CI: 5.52, 14.48) populations. The prevalence of prediabetes by the ADA diagnostic criteria was 21.45 % (95 % CI: 15.54, 27.35) three times higher than the WHO 7.20 % (95 % CI: 5.70, 8.69). Moreover, prediabetes was significantly associated with old age (OR = 1.64, 95 %, CI: 1.07, 2.53), hypertension (OR = 2.43, 95 %, CI: 1.02-5.79), obesity and overweight (OR = 1.70, 95 %, CI: 1.09,2.65). Conclusion: This study showed a high prevalence of prediabetes, which was significantly associated with old age, hypertension, and high BMI. This study suggests that health policymakers should pay attention to the prevention and control strategies that is targeted at those with obesity, hypertension, and old age.
ABSTRACT
BACKGROUND: The prevalence of diabetes is rapidly increasing in Africa. Type two diabetes may remain undetected for many years, leading to severe complications and healthcare costs. This underlines the importance of understanding the magnitude of undiagnosed diabetes in different populations of Africa. This study is intended to summarize and pool the results of community-based studies to provide a continental level estimate of the undiagnosed diabetes mellitus. METHODS: We searched MEDLINE/PubMed, HINARI, Cochrane Library, and Google Scholar for community-based studies on diabetes mellitus in Africa. Descriptive information for the original studies was presented in a table, and the quantitative results were presented in forest plots. The Cochran's Q test and I 2 test statistic were used to test heterogeneity across studies. The pooled prevalence of undiagnosed diabetes and subgroup analyses within urban and rural population and diagnostic methods were computed by a random effects model from 2011 to 2017. RESULTS: One hundred fifty-seven articles were identified through electronic searching using keywords. Of these, seventeen studies, with a total population of 20,350, met the inclusion criteria. A random effects meta-analysis showed that the pooled prevalence of undiagnosed diabetes mellitus in African population was 5.37% (95% CI: 4.57, 6.81). The pooled prevalence from subgroup analyses indicated that undiagnosed diabetes mellitus in the urban population (8.68%, 95% CI: 5.33, 12.03) is twice higher than that in the rural population (3.93%, 95% CI: 2.91, 4.95). The prevalence of UDM by OGTT (8.84%, 95% CI: 1.95, 15.73) was higher than that by the FPG diagnostic method (4.54%, 95% CI: 3.59, 5.49). CONCLUSION: This study found high proportions of undiagnosed diabetes mellitus in different communities of the African countries. Policy makers must consider diagnostic strategies to improve screening for the undiagnosed diabetes mellitus cases for effective care, which can bring about a substantial reduction in diabetes-related complications and mortality. This review is registered with PROSPERO registration number CRD42018092637.
