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Relative contributions of preprandial and postprandial glucose exposures, glycemic variability, and non-glycemic factors to HbA(1c) in individuals with and without diabetes

BACKGROUND/OBJECTIVE: There is substantial interest in dietary approaches to reducing postprandial glucose (PPG) responses, but the quantitative contribution of PPG to longer-term glycemic control (reflected in glycated hemoglobin, HbA(1c)) in the general population is not known. This study quantifi...

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Autores principales: Færch, Kristine, Alssema, Marjan, Mela, David J., Borg, Rikke, Vistisen, Dorte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981454/
https://www.ncbi.nlm.nih.gov/pubmed/29855488
http://dx.doi.org/10.1038/s41387-018-0047-8
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author Færch, Kristine
Alssema, Marjan
Mela, David J.
Borg, Rikke
Vistisen, Dorte
author_facet Færch, Kristine
Alssema, Marjan
Mela, David J.
Borg, Rikke
Vistisen, Dorte
author_sort Færch, Kristine
collection PubMed
description BACKGROUND/OBJECTIVE: There is substantial interest in dietary approaches to reducing postprandial glucose (PPG) responses, but the quantitative contribution of PPG to longer-term glycemic control (reflected in glycated hemoglobin, HbA(1c)) in the general population is not known. This study quantified the associations of preprandial glucose exposure, PPG exposure, and glycemic variability with HbA(1c) and estimated the explained variance in HbA(1c) in individuals with and without type 2 diabetes (T2D). SUBJECTS/METHODS: Participants in the A1c-Derived Average Glucose (ADAG) study without T2D (n = 77) or with non-insulin-treated T2D and HbA(1c)<6.5% (T2D(HbA1c < 6.5%), n = 63) or HbA(1c) ≥ 6.5% (T2D(HbA1c ≥ 6.5%), n = 34) were included in this analysis. Indices of preprandial glucose, PPG, and glycemic variability were calculated from continuous glucose monitoring during four periods over 12 weeks prior to HbA(1c) measurement. In linear regression models, we estimated the associations of the glycemic exposures with HbA(1c) and calculated the proportion of variance in HbA(1c) explained by glycemic and non-glycemic factors (age, sex, body mass index, and ethnicity). RESULTS: The factors in the analysis explained 35% of the variance in HbA(1c) in non-diabetic individuals, 49% in T2D(HbA1c < 6.5%), and 78% in T2D(HbA1c ≥ 6.5%). In non-diabetic individuals PPG exposure was associated with HbA(1c) in confounder-adjusted analyses (P < 0.05). In the T2D(HbA1c < 6.5%) group, all glycemic measures were associated with HbA(1c) (P < 0.05); preprandial glucose and PPG accounted for 14 and 18%, respectively, of the explained variation. In T2D(HbA1c ≥ 6.5%), these glycemic exposures accounted for more than 50% of the variation in HbA(1c) and with equal relative contributions. CONCLUSIONS: Among the glycemic exposures, PPG exposure was most strongly predictive of HbA(1c) in non-diabetic individuals, suggesting that interventions targeting lowering of the PPG response may be beneficial for long-term glycemic maintenance. In T2D, preprandial glucose and PPG exposure contributed equally to HbA(1c).
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spelling pubmed-59814542018-06-04 Relative contributions of preprandial and postprandial glucose exposures, glycemic variability, and non-glycemic factors to HbA(1c) in individuals with and without diabetes Færch, Kristine Alssema, Marjan Mela, David J. Borg, Rikke Vistisen, Dorte Nutr Diabetes Article BACKGROUND/OBJECTIVE: There is substantial interest in dietary approaches to reducing postprandial glucose (PPG) responses, but the quantitative contribution of PPG to longer-term glycemic control (reflected in glycated hemoglobin, HbA(1c)) in the general population is not known. This study quantified the associations of preprandial glucose exposure, PPG exposure, and glycemic variability with HbA(1c) and estimated the explained variance in HbA(1c) in individuals with and without type 2 diabetes (T2D). SUBJECTS/METHODS: Participants in the A1c-Derived Average Glucose (ADAG) study without T2D (n = 77) or with non-insulin-treated T2D and HbA(1c)<6.5% (T2D(HbA1c < 6.5%), n = 63) or HbA(1c) ≥ 6.5% (T2D(HbA1c ≥ 6.5%), n = 34) were included in this analysis. Indices of preprandial glucose, PPG, and glycemic variability were calculated from continuous glucose monitoring during four periods over 12 weeks prior to HbA(1c) measurement. In linear regression models, we estimated the associations of the glycemic exposures with HbA(1c) and calculated the proportion of variance in HbA(1c) explained by glycemic and non-glycemic factors (age, sex, body mass index, and ethnicity). RESULTS: The factors in the analysis explained 35% of the variance in HbA(1c) in non-diabetic individuals, 49% in T2D(HbA1c < 6.5%), and 78% in T2D(HbA1c ≥ 6.5%). In non-diabetic individuals PPG exposure was associated with HbA(1c) in confounder-adjusted analyses (P < 0.05). In the T2D(HbA1c < 6.5%) group, all glycemic measures were associated with HbA(1c) (P < 0.05); preprandial glucose and PPG accounted for 14 and 18%, respectively, of the explained variation. In T2D(HbA1c ≥ 6.5%), these glycemic exposures accounted for more than 50% of the variation in HbA(1c) and with equal relative contributions. CONCLUSIONS: Among the glycemic exposures, PPG exposure was most strongly predictive of HbA(1c) in non-diabetic individuals, suggesting that interventions targeting lowering of the PPG response may be beneficial for long-term glycemic maintenance. In T2D, preprandial glucose and PPG exposure contributed equally to HbA(1c). Nature Publishing Group UK 2018-06-01 /pmc/articles/PMC5981454/ /pubmed/29855488 http://dx.doi.org/10.1038/s41387-018-0047-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Færch, Kristine
Alssema, Marjan
Mela, David J.
Borg, Rikke
Vistisen, Dorte
Relative contributions of preprandial and postprandial glucose exposures, glycemic variability, and non-glycemic factors to HbA(1c) in individuals with and without diabetes
title Relative contributions of preprandial and postprandial glucose exposures, glycemic variability, and non-glycemic factors to HbA(1c) in individuals with and without diabetes
title_full Relative contributions of preprandial and postprandial glucose exposures, glycemic variability, and non-glycemic factors to HbA(1c) in individuals with and without diabetes
title_fullStr Relative contributions of preprandial and postprandial glucose exposures, glycemic variability, and non-glycemic factors to HbA(1c) in individuals with and without diabetes
title_full_unstemmed Relative contributions of preprandial and postprandial glucose exposures, glycemic variability, and non-glycemic factors to HbA(1c) in individuals with and without diabetes
title_short Relative contributions of preprandial and postprandial glucose exposures, glycemic variability, and non-glycemic factors to HbA(1c) in individuals with and without diabetes
title_sort relative contributions of preprandial and postprandial glucose exposures, glycemic variability, and non-glycemic factors to hba(1c) in individuals with and without diabetes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981454/
https://www.ncbi.nlm.nih.gov/pubmed/29855488
http://dx.doi.org/10.1038/s41387-018-0047-8
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