scholarly journals Association of systolic blood pressure with macrovascular and microvascular complications of type 2 diabetes (UKPDS 36): prospective observational study

BMJ ◽  
2000 ◽  
Vol 321 (7258) ◽  
pp. 412-419 ◽  
Author(s):  
A. I Adler
Diabetologia ◽  
2006 ◽  
Vol 49 (8) ◽  
pp. 1761-1769 ◽  
Author(s):  
I. M. Stratton ◽  
C. A. Cull ◽  
A. I. Adler ◽  
D. R. Matthews ◽  
H. A. W. Neil ◽  
...  

2010 ◽  
Vol 28 (10) ◽  
pp. 2026-2035 ◽  
Author(s):  
Jan Cederholm ◽  
Soffia Gudbjörnsdottir ◽  
Björn Eliasson ◽  
Björn Zethelius ◽  
Katarina Eeg-Olofsson ◽  
...  

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Takahisa Handa ◽  
Akinobu Nakamura ◽  
Aika Miya ◽  
Hiroshi Nomoto ◽  
Hiraku Kameda ◽  
...  

Abstract Background This study aimed to explore predictive factors of time below target glucose range (TBR) ≥ 1% among patients’ characteristics and glycemic variability (GV) indices using continuous glucose monitoring data in elderly patients with type 2 diabetes. Methods We conducted a prospective observational study on 179 (71 female) Japanese outpatients with type 2 diabetes aged ≥ 65 years. The characteristics of the participants with TBR ≥ 1% were evaluated by multivariate logistic regression analysis. Receiver-operating characteristic (ROC) curve analyses of GV indices, comprising coefficient of variation (CV), standard deviation, and mean amplitude of glycemic excursions, were performed to identify the optimal index for the identification of patients with TBR ≥ 1%. Results In the multivariate logistic regression analysis, none of the clinical characteristics, including HbA1c and C-peptide index, were independent markers for TBR ≥ 1%, while all three GV indices showed significant associations with TBR ≥ 1%. Among the three GV indices, CV showed the best performance based on the area under the curve in the ROC curve analyses. Conclusions Among elderly patients with type 2 diabetes, CV reflected TBR ≥ 1% most appropriately among the GV indices examined. Trial registration UMIN-CTR: UMIN000029993. Registered 16 November 2017


BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e027906
Author(s):  
Yijia Chen ◽  
Jie Yang ◽  
Jian Su ◽  
Yu Qin ◽  
Chong Shen ◽  
...  

ObjectiveInvestigating the association between total physical activity, physical activity in different domains and sedentary time with clustered metabolic risk in patients with type 2 diabetes from Jiangsu province, China.DesignInterview-based cross-sectional study conducted between December 2013 and January 2014.Setting44 selected townships across two cities, Changshu and Huai’an, in Jiangsu province.Participants20 340 participants selected using stratified cluster-randomised sampling and an interviewer-managed questionnaire.MethodsWe constructed clustered metabolic risk by summing sex-specific standardised values of waist circumference, fasting triacylglycerol, fasting plasma glucose, systolic blood pressure and the inverse of blood high-density lipoprotein cholesterol (HDL-cholesterol). Self-reported total physical activity included occupation, commuting and leisure-time physical activity. The un-standardised regression coefficient [B] and its 95% CI were calculated using multivariate linear regression analyses.ResultsThis study included 17 750 type 2 diabetes patients (aged 21–94 years, 60.3% female). The total (B=−0.080; 95% CI: −0.114 to −0.046), occupational (B=−0.066; 95% CI: −0.101 to− 0.031) and leisure-time physical activity (B=−0.041; 95% CI: −0.075 to −0.007), and sedentary time (B=0.117; 95% CI: 0.083 to 0.151) were associated with clustered metabolic risk. Total physical activity, occupational physical activity and sedentary time were associated with waist circumference, triacylglycerol and HDL-cholesterol, but not with systolic blood pressure. Commuting physical activity and sedentary time were significantly associated with triacylglycerol (B=−0.012; 95% CI: −0.019 to −0.005) and fasting plasma glucose (B=0.008; 95% CI: 0.003 to 0.01), respectively. Leisure-time physical activity was only significantly associated with systolic blood pressure (B=−0.239; 95% CI: −0.542 to− 0.045).ConclusionsTotal, occupational and leisure-time physical activity were inversely associated with clustered metabolic risk, whereas sedentary time increased metabolic risk. Commuting physical activity was inversely associated with triacylglycerol. These findings suggest that increased physical activity in different domains and decreased sedentary time may have protective effects against metabolic risk in type 2 diabetes patients.


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