Abere Woretaw Azagew
Poor glycemic control and its predictors among people living with diabetes in low- and middle-income countries: a systematic review and meta-analysis
Azagew, Abere Woretaw; Mekonnen, Chilot Kassa; Lambie, Mark; Shepherd, Thomas; Babatunde, Opeyemi O.
Authors
Chilot Kassa Mekonnen
Mark Lambie m.lambie@keele.ac.uk
Dr Thomas Shepherd t.a.shepherd1@keele.ac.uk
Dr Opeyemi Babatunde o.babatunde@keele.ac.uk
Abstract
Introduction: Variability in blood glucose remains a challenge in diabetic management. Therefore, this review aimed to estimate the overall poor glycemic control and identify its predictors among people living with diabetes in low- and middle-income countries (LMICs). Methods: The authors searched articles in PubMed, Embase, OVID, CINAHL Plus, Cochrane Library, PsychInfo, Google, and Google Scholar. The search results were exported to the Rayyan software to check their eligibility. The Newcastle–Ottawa scale was used to assess the study quality. Stata version 17 was used for analysis. A random effect model was computed. Heterogeneity was assessed by the Cochrane Q test and I-squared (I2). The funnel plot asymmetry test and/or Egger’s regression test (p < 0.05) were used to detect the publication bias. Then it was treated by the trim and fill analysis. The protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO) with the reference number CRD42023430175. Results: In total, forty-nine articles were used. Of which forty-five articles with 15,981 participants were used for pooled prevalence estimation. The pooled prevalence of poor glycemic control among people living with diabetes in LMICs was found to be 69.06% (95% CI: 65.66–72.46), I2 = 96.1%, p < 0.001). Alcohol intake (AOR = 2.07: 95% CI: 1.27–3.36), poor adherence to dietary recommendations (AOR = 3.16, 95% CI: 1.13–8.85), poor adherence to anti-diabetic medication (AOR = 2.85, 95% CI: 1.04 -7.85), diabetic complications (AOR = 1.37, 95% CI: 1.00–1.88), and co-morbid conditions (AOR = 1.98, 95% CI: 1.28–30.07) were found to be predictors of poor glycemic control. Conclusions: The pooled prevalence of poor glycemic control was significantly high in LMICs. Drinking alcohol, poor adherence to dietary recommendations, poor adherence to anti-diabetic medication, diabetes complications, and co-morbid conditions were found to be the determinants of poor glycemic control among people living with diabetes. Tight glycemic control strategies have been implemented to achieve optimal blood glucose. Further research on the regional and contextual factors influencing glycemic control would be recommended.
Citation
Azagew, A. W., Mekonnen, C. K., Lambie, M., Shepherd, T., & Babatunde, O. O. (in press). Poor glycemic control and its predictors among people living with diabetes in low- and middle-income countries: a systematic review and meta-analysis. BMC Public Health, 25(1), 1-26. https://doi.org/10.1186/s12889-025-21828-y
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 6, 2025 |
Online Publication Date | Feb 21, 2025 |
Deposit Date | Feb 27, 2025 |
Publicly Available Date | Feb 27, 2025 |
Journal | BMC Public Health |
Electronic ISSN | 1471-2458 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 25 |
Issue | 1 |
Article Number | 714 |
Pages | 1-26 |
DOI | https://doi.org/10.1186/s12889-025-21828-y |
Keywords | Diabetes mellitus, LMICs, Glycemic control, Blood glucose control |
Public URL | https://keele-repository.worktribe.com/output/1078559 |
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Poor glycemic control and its predictors among people living with diabetes in low- and middle-income countries: a systematic review and meta-analysis
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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
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