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African Health Sciences
Makerere University Medical School
ISSN: 1680-6905
EISSN: 1680-6905
Vol. 19, No. 4, 2019, pp. 2819-2828
Bioline Code: hs19149
Full paper language: English
Document type: Study
Document available free of charge

African Health Sciences, Vol. 19, No. 4, 2019, pp. 2819-2828

 en Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria
Anioke, Innocent Chidi; Ezedigboh, Azubike Nnamdi; Dozie-Nwakile, Ogechukwu Calista; Chukwu, Ikechukwu Johnpaul & Kalu, Peculiar Ngozi


Background: The study investigated predictors of poor glycemic control in type 2 diabetes (T2DM).
Methods: Data on demographics, anthropometric and clinical parameters were collected in a cross-section survey from 140 adults with T2DM, using standard tools/instruments. Glycated hemoglobin (A1C) was assessed as a measure of glycemic control.
Results: Majority (83.3%) had poor glycemic control status of which about 95% constitute the elderly. The elderly (OR= 5.90, 95% Cl: 1.66-20.96) were more likely associated with poor glycemic control than the non-elderly (p = 0.006). Adjustment for significant predictor variables: Age, waist-hip ratio (WHR), Fasting plasma glucose (FPG) and Systolic blood pressure (SBP), although attenuated the odds (OR= 5.00, 95% CI: 1.19-20.96) of poor glycemic control, it still remained significantly (p = 0.028) higher in the elderly. Patients outside tight FPG control significantly (p = 0.001) showed poor glycemic cotrol than those within tight FPG (OR= 17.39, 95%Cl: 5.83-51.90), even with attenuated OR (OR= 10.85, 95%Cl: 3.10-37.96) and (OR=12.08, 95%Cl: 3.64-40.09) when non- significant and significant predictor variables were accounted for, respectively.
Conclusion: Age, WHR, FPG, and SBP were significantly associated with differences in glycemic control. The elderly and FPG outside tight control showed significantly increased odds of poor glycemic control status.

Type 2 Diabetes Mellitus; glycemic control status; A1C; Elderly; Fasting plasma glucose; glycemic control predictors

© Copyright 2019 - Anioke et al.

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