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Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria

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...

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Autores principales: Anioke, Innocent Chidi, Ezedigboh, Azubike Nnamdi, Dozie-Nwakile, Ogechukwu Calista, Chukwu, Ikechukwu Johnpaul, Kalu, Peculiar Ngozi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Makerere Medical School 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7040317/
https://www.ncbi.nlm.nih.gov/pubmed/32127857
http://dx.doi.org/10.4314/ahs.v19i4.3
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author Anioke, Innocent Chidi
Ezedigboh, Azubike Nnamdi
Dozie-Nwakile, Ogechukwu Calista
Chukwu, Ikechukwu Johnpaul
Kalu, Peculiar Ngozi
author_facet Anioke, Innocent Chidi
Ezedigboh, Azubike Nnamdi
Dozie-Nwakile, Ogechukwu Calista
Chukwu, Ikechukwu Johnpaul
Kalu, Peculiar Ngozi
author_sort Anioke, Innocent Chidi
collection PubMed
description 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.
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spelling pubmed-70403172020-03-03 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 Afr Health Sci Articles 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. Makerere Medical School 2019-12 /pmc/articles/PMC7040317/ /pubmed/32127857 http://dx.doi.org/10.4314/ahs.v19i4.3 Text en © 2019 Anioke et al. Licensee African Health Sciences. This is an Open Access article distributed under the terms of the Creative commons Attribution License (https://creativecommons.org/licenses/BY/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Anioke, Innocent Chidi
Ezedigboh, Azubike Nnamdi
Dozie-Nwakile, Ogechukwu Calista
Chukwu, Ikechukwu Johnpaul
Kalu, Peculiar Ngozi
Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria
title Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria
title_full Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria
title_fullStr Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria
title_full_unstemmed Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria
title_short Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria
title_sort predictors of poor glycemic control in adult with type 2 diabetes in south-eastern nigeria
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7040317/
https://www.ncbi.nlm.nih.gov/pubmed/32127857
http://dx.doi.org/10.4314/ahs.v19i4.3
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