scholarly journals Dose-response between frequency of interruption of sedentary time and fasting glucose, the dawn phenomenon and night-time glucose in Type 2 diabetes

2018 ◽  
Vol 36 (3) ◽  
pp. 376-382 ◽  
Author(s):  
A. C. Paing ◽  
K. A. McMillan ◽  
A. F. Kirk ◽  
A. Collier ◽  
A. Hewitt ◽  
...  
2019 ◽  
Vol 120 (1) ◽  
pp. 171-179 ◽  
Author(s):  
Aye C. Paing ◽  
Kathryn A. McMillan ◽  
Alison F. Kirk ◽  
Andrew Collier ◽  
Allan Hewitt ◽  
...  

Abstract Purpose To investigate how the pattern of sedentary behaviour affects intra-day glucose regulation in type 2 diabetes. Methods This intensive longitudinal study was conducted in 37 participants with type 2 diabetes (age, 62.8 ± 10.5 years). Glucose and sedentary behaviour/physical activity were assessed with a continuous glucose monitoring (Abbott FreeStyle Libre) and an activity monitor (activPAL3) for 14 days. Multiple regression models with generalised estimating equations (GEEs) approach were used to assess the associations of sedentary time and breaks in sedentary time with pre-breakfast glucose, pre-lunch glucose, pre-dinner glucose, post-breakfast glucose, post-lunch glucose, post-dinner glucose, bedtime glucose, the dawn phenomenon, time in target glucose range (TIR, glucose 3.9–10 mmol/L) and time above target glucose range (TAR, glucose > 10 mmol/L). Results Sedentary time was associated with higher pre-breakfast glucose (p = 0.001), pre-dinner glucose (p < 0.001), post-lunch glucose (p = 0.005), post-dinner glucose (p = 0.013) and the dawn phenomenon (p < 0.001). Breaks in sedentary time were associated with lower pre-breakfast glucose (p = 0.023), pre-dinner glucose (p = 0.023), post-breakfast glucose (p < 0.001) and the dawn phenomenon (p = 0.004). The association between sedentary time and less TIR (p = 0.022) and the association between breaks in sedentary time and more TIR (p = 0.001) were also observed. Conclusions Reducing sedentary time and promoting breaks in sedentary time could be clinically relevant to improve intra-day glucose regulation in type 2 diabetes.


2019 ◽  
Vol 22 (7) ◽  
pp. 808-813 ◽  
Author(s):  
Aye C. Paing ◽  
Kathryn A. McMillan ◽  
Alison F. Kirk ◽  
Andrew Collier ◽  
Allan Hewitt ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1535-P ◽  
Author(s):  
HYE-IN JUNG ◽  
JAEHYUN BAE ◽  
EUGENE HAN ◽  
GYURI KIM ◽  
JI-YEON LEE ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1476-P
Author(s):  
AOIFE M. EGAN ◽  
CHRISTINA WOOD-WENTZ ◽  
KENT R. BAILEY ◽  
ADRIAN VELLA

2019 ◽  
Author(s):  
Ya-Sian Chang ◽  
Li-Yun Hsiao ◽  
Chien-Yu Lin ◽  
Mu-Chin Shih ◽  
Ming-Chia Hsieh ◽  
...  

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Weiqi Wang ◽  
Haiyang Jiang ◽  
Ziwei Zhang ◽  
Wei Duan ◽  
Tianshu Han ◽  
...  

Abstract Background and objectives Previous studies have found the important gene-diet interactions on type 2 diabetes (T2D) incident but have not followed branched-chain amino acids (BCAAs), even though they have shown heterogeneous effectiveness in diabetes-related factors. So in this study, we aim to investigate whether dietary BCAAs interact with the genetic predisposition in relation to T2D risk and fasting glucose in Chinese adults. Methods In a case-control study nested in the Harbin Cohort Study on Diet, Nutrition and Chronic Non-Communicable Diseases, we obtained data for 434 incident T2D cases and 434 controls matched by age and sex. An unweighted genetic risk score (GRS) was calculated for 25 T2D-related single nucleotide polymorphisms by summation of the number of risk alleles for T2D. Multivariate logistic regression models and general linear regression models were used to assess the interaction between dietary BCAAs and GRS on T2D risk and fasting glucose. Results Significant interactions were found between GRS and dietary BCAAs on T2D risk and fasting glucose (p for interaction = 0.001 and 0.004, respectively). Comparing with low GRS, the odds ratio of T2D in high GRS were 2.98 (95% CI 1.54–5.76) among those with the highest tertile of total BCAA intake but were non-significant among those with the lowest intake, corresponding to 0.39 (0.12) mmol/L versus − 0.07 (0.10) mmol/L fasting glucose elevation per tertile. Viewed differently, comparing extreme tertiles of dietary BCAAs, the odds ratio (95% CIs) of T2D risk were 0.46 (0.22–0.95), 2.22 (1.15–4.31), and 2.90 (1.54–5.47) (fasting glucose elevation per tertile: − 0.23 (0.10), 0.18 (0.10), and 0.26 (0.13) mmol/L) among participants with low, intermediate, and high genetic risk, respectively. Conclusions This study indicated that dietary BCAAs could amplify the genetic association with T2D risk and fasting glucose. Moreover, higher BCAA intake showed positive association with T2D when genetic predisposition was also high but changed to negative when genetic predisposition was low.


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