scholarly journals Associations between Dietary Polyphenols and Type 2 Diabetes in a Cross-Sectional Analysis of the PREDIMED-Plus Trial: Role of Body Mass Index and Sex

Antioxidants ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 537 ◽  
Author(s):  
Anna Tresserra-Rimbau ◽  
Sara Castro-Barquero ◽  
Facundo Vitelli-Storelli ◽  
Nerea Becerra-Tomas ◽  
Zenaida Vázquez-Ruiz ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Cox Regression ◽  
Overweight And Obesity ◽  
Cross Sectional ◽  
Dietary Polyphenols ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Overweight and obesity are important risk factors for type 2 diabetes (T2D). Moving towards healthier diets, namely, diets rich in bioactive compounds, could decrease the odds of suffering T2D. However, those individuals with high body mass index (BMI) may have altered absorption or metabolism of some nutrients and dietary components, including polyphenols. Therefore, we aimed to assess whether high intakes of some classes of polyphenols are associated with T2D in a population with metabolic syndrome and how these associations depend on BMI and sex. This baseline cross-sectional analysis includes 6633 participants from the PREDIMED-Plus trial. Polyphenol intakes were calculated from food frequency questionnaires (FFQ). Cox regression models with constant time at risk and robust variance estimators were used to estimate the prevalence ratios (PRs) for polyphenol intake and T2D prevalence using the lowest quartile as the reference group. Analyses were stratified by sex and BMI groups (overweight and obese) to evaluate potential effect modification. Catechins, proanthocyanidins, hydroxybenzoic acids, and lignans were inversely associated with T2D. Hydroxycinnamic acids were directly related in men. These associations were different depending on sex and BMI, that is, women and overweight obtained stronger inverse associations.

scholarly journals Quantifying the risk of type 2 diabetes in East London using the QDScore: a cross-sectional analysis

2012 ◽  
Vol 62 (603) ◽  
pp. e663-e670 ◽  
Author(s):  
Rohini Mathur ◽  
Douglas Noble ◽  
Dianna Smith ◽  
Trisha Greenhalgh ◽  
John Robson
Keyword(s):  
Type 2 Diabetes ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

scholarly journals Association between triglyceride glucose index and carotid atherosclerosis in patients with type 2 diabetes mellitus: a cross-sectional study

2021 ◽  
Author(s):  
Hang Li ◽  
Jie Lin ◽  
Yi ying Liu ◽  
Yao Liu ◽  
Qin Wan
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Carotid Atherosclerosis ◽  
Intima Media Thickness ◽  
Cross Sectional ◽  
Tyg Index ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Abstract Background Carotid atherosclerosis (CAS) lacks a simple and relatively accurate predictor. Triglyceride glucose (TyG) index is a simple indicator of insulin resistance, but the association between TyG index and CAS in patients with type 2 diabetes mellitus (T2DM) is less certain. This study aimed to investigate whether TyG index can predict CAS onset effectively. Methods In total, 1476 T2DM patients were included in cross-sectional analysis. TyG index (calculated by ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]) was split into tertiles (Tertile1-Tertile3). The main outcome was CAS prevalence as defined with carotid intima-media thickness (CIMT) ≥ 1.0 mm or carotid plaque. Logistic regression analysis was used to analyze the association between TyG index and CAS in patients with T2DM. Results In cross-sectional analysis, a total of 62.3% of T2DM patients had CAS, patients with a higher TyG index had a higher risk of CAS (χ2 = 13.856, P < 0.01). After confounder adjustment, patients with T2DM in the high tertile of TyG index had a greater risk to developing CAS than those in the low tertile (OR = 1.451, 95% CI =1.107-1.902, P = 0.007). Higher TyG index values were also associated with increased odds of CAS in patients with T2DM who were female, who were younger than 65 years old, who suffered from hypertension or obesity. Conclusion TyG index was significantly associated with CAS, suggesting that TyG index is a potential predictor for CAS in patients with T2DM.

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