scholarly journals Associations Between Night Sleep Duration and Fasting Glucose and Triglyceride To High-Density Lipoprotein Cholesterol Ratio Among Adults Free of Type 2 Diabetes or Without Diagnosed Type 2 Diabetes

Author(s):  
Jiangshan He ◽  
Chenglin Hong ◽  
Li Zhang ◽  
Chunjun Li ◽  
Yuxue Wang ◽  
...  

Abstract Background We aim to assess the associations between night sleep duration and fasting glucose (FG), triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio, and body mass index (BMI) among adults free of type 2 diabetes (T2D) or without diagnosed T2D. Methods We analyzed the baseline data of a cohort. We included adults free of T2D or without diagnosed T2D who completed the validated questionnaire, biochemical and anthropometric measurements. Independent association between sleep duration and FG, TG/HDL-C, BMI was evaluated with multiple U-shaped or linear regressions. Results We included 32497 adults with a median of 44 years, 52.5% men. Overall, 12.80% and 9.67% reported night sleep duration <7h and ≥9h, 6.91% were with impaired FG and 3.57% had undiagnosed T2D. Sleep duration was independently U-shaped associated with FG [β1 (linear term) =-0.111, P=0.047; β2 (quadratic term) =0.008, P=0.026] with 6.9-hour sleep had the lowest FG, and negatively associated with BMI (β = -0.154, P<0.001). BMI mediated U-shaped association of sleep duration with TG/HDL-C (β1=-0.040, P=0.017; β2 = 0.003, P=0.023). Conclusions Both short and long night sleep was associated with elevated FG, shorter sleep was associated with increased BMI. BMI mediated the U-shaped association between sleep duration and TG/HDL-C.

2009 ◽  
Vol 32 (4) ◽  
pp. 271 ◽  
Author(s):  
Spomenka Ljubic ◽  
Jozo Boras ◽  
Anamarija Jazbec ◽  
Marijana Vucic Lovrencic ◽  
Vinko Vidjak ◽  
...  

Purpose: Adiponectin (ApN) is considered to be responsible for reduction of inflammation and is known to be included in lipid metabolism. This study was designed to assess the role of adiponectin in patients with type 1 and type 2 diabetes and to determine parameters important in the prediction of adiponectin. Methods: Adiponectin, high sensitive C-reactive protein, fibrinogen, homocysteine, C-peptide, and lipid panel in addition to clinical and laboratory parameters important for the definition of diabetes, obesity and the metabolic syndrome were measured in 118 patients. Results: The best model (R2=0.989) for predicting adiponectin in type 1 diabetes included fibrinogen, white blood cell count, uric acid and triglycerides. In type 2 diabetes the best model (R2=0.751) included C-peptide, white blood cell count, systolic blood pressure, fasting blood glucose, glycated hemoglobin and high-density lipoprotein cholesterol. ANOVA showed among-group differences in adiponectin (P=0.028), body mass index (P < 0.001), fasting blood glucose (P < 0.001) and high-density lipoprotein cholesterol (P =0.012) according to the type of diabetes. Between-group differences were also observed in adiponectin (P =0.033) and high-density lipoprotein cholesterol (P =0.009) according to sex. Adiponectin correlated (P < 0.05) with body mass index, C-peptide, pulse pressure and high-density lipoprotein cholesterol. Conclusion: Adiponectin levels were higher in type 1 diabetes. The association between C-peptide and adiponectin is probably one of the reasons for their different respective levels in different types of diabetes. Interrelations between adiponectin and inflammation, dyslipidemia, C-peptide levels and sex appear to be important for complex adiponectin modulation and action.


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