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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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Detalles Bibliográficos
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
Descripción
Sumario: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).