Impact of free-living pattern of sedentary behaviour on intra-day glucose regulation in type 2 diabetes

[1] Bailey T(2015)The performance and usability of a factory-calibrated flash glucose monitoring system Diabetes Technol Ther 17 787-794

[2] Bode BW(2019)Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range Diabetes Care 42 1593-1603

[3] Christiansen MP(2019)The relationships between time in range, hyperglycemia metrics, and HbA1c J Diabetes Sci Technol 13 614-626

[4] Battelino T(2019)Validation of time in range as an outcome measure for diabetes clinical trials Diabetes Care 42 400-405

[5] Danne T(2011)Postprandial blood glucose predicts cardiovascular events and all-cause mortality in type 2 diabetes in a 14-year follow-up: lessons from the San Luigi Gonzaga diabetes study Diabetes Care 34 2237-2243

[6] Bergenstal RM(2015)Meta-analysis of the relationship between breaks in sedentary behavior and cardiometabolic health Obesity 23 1800-1810

[7] Beck RW(2014)Some general guidelines for choosing missing data handling methods in educational research J Mod Appl Stat Methods 13 53-75

[8] Bergenstal RM(2007)Selection of working correlation structure and best model in GEE analyses of longitudinal data Commun Stat Simul Comput 36 987-996

[9] Cheng P(2018)Characteristics of a protocol to collect objective physical activity/sedentary behaviour data in a large study: seniors USP (understanding sedentary patterns) J Meas Phys Behav 1 26-31

[10] Beck RW(2013)Three 15-min bouts of moderate postmeal walking significantly improves 24-h glycemic control in older people at risk for impaired glucose tolerance Diabetes Care 36 3262-3268

[1] Bailey T(2015)The performance and usability of a factory-calibrated flash glucose monitoring system Diabetes Technol Ther 17 787-794

[2] Bode BW(2019)Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range Diabetes Care 42 1593-1603

[3] Christiansen MP(2019)The relationships between time in range, hyperglycemia metrics, and HbA1c J Diabetes Sci Technol 13 614-626

[4] Battelino T(2019)Validation of time in range as an outcome measure for diabetes clinical trials Diabetes Care 42 400-405

[5] Danne T(2011)Postprandial blood glucose predicts cardiovascular events and all-cause mortality in type 2 diabetes in a 14-year follow-up: lessons from the San Luigi Gonzaga diabetes study Diabetes Care 34 2237-2243

[6] Bergenstal RM(2015)Meta-analysis of the relationship between breaks in sedentary behavior and cardiometabolic health Obesity 23 1800-1810

[7] Beck RW(2014)Some general guidelines for choosing missing data handling methods in educational research J Mod Appl Stat Methods 13 53-75

[8] Bergenstal RM(2007)Selection of working correlation structure and best model in GEE analyses of longitudinal data Commun Stat Simul Comput 36 987-996

[9] Cheng P(2018)Characteristics of a protocol to collect objective physical activity/sedentary behaviour data in a large study: seniors USP (understanding sedentary patterns) J Meas Phys Behav 1 26-31

[10] Beck RW(2013)Three 15-min bouts of moderate postmeal walking significantly improves 24-h glycemic control in older people at risk for impaired glucose tolerance Diabetes Care 36 3262-3268