scholarly journals Associations between macrovascular and renal microvascular dysfunction in type 2 diabetes and non-diabetes: the HELIUS study

2021 ◽  
Vol 136 ◽  
pp. 104162
Author(s):  
Charles F. Hayfron-Benjamin ◽  
Albert G.B. Amoah ◽  
Anke H. Maitland - van der Zee ◽  
Eric Moll van Charante ◽  
Henrike Galenkamp ◽  
...  
2021 ◽  
Author(s):  
Marleen Zethof ◽  
Charlotte M. Mosterd ◽  
Didier Collard ◽  
Henrike Galenkamp ◽  
Charles Agyemang ◽  
...  

<b>Objective</b>: Studies have shown a disparate association between body composition and the risk of type 2 diabetes. We assessed whether associations between differences in body composition and type 2 diabetes vary among ethnic groups with disparate cardiometabolic risk. <p><b>Research Design and Methods: </b>We used data from the HELIUS study, including individuals aged 18-70 of<b> </b>African Surinamese (n=3997), South-Asian Surinamese (n=2956), Turkish (n=3546), Moroccan (n=3850), Ghanaian (n=2271) and Dutch (n=4452) origin living in Amsterdam. Type 2 diabetes was defined using the World Health Organization criteria. Logistic regression was used to assess the relation between body composition and type 2 diabetes. Waist-hip ratio, waist circumference, BMI and body fat percentage by bio-electrical impedance were used to estimate body composition.</p> <p><b>Results: </b>Per unit change in BMI only Ghanaian [OR 0.94 (95% CI 0.89-0.99)] and Moroccan [0.94 (0.89-0.99)] women had a smaller increase in type 2 diabetes per unit change in BMI compared to the Dutch population, while OR for body fat percentage were 0.94 (0.89-1.00) for Ghanaian, 0.93 (0.88-0.99) for Moroccan and 0.95 (0.90-1.00) for South-Asian Surinamese women. There was no interaction between WHR and ethnicity on the risk of type 2 diabetes, and there were no differences in men. WHR had the highest precision in predicting type 2 diabetes in both men (c-statistic=0.78) and women (c-statistic=0.81). </p> <b>Conclusions: </b>The<b> </b>association between differences in body composition and type 2 diabetes is roughly the same in all ethnic groups. WHR seems the most reliable and consistent predictor of type 2 diabetes regardless of ethnic background.<b> </b>


2020 ◽  
Vol 137 ◽  
pp. 106141
Author(s):  
Soraya van Etten ◽  
Loes Crielaard ◽  
Mirthe Muilwijk ◽  
Irene van Valkengoed ◽  
Marieke B. Snijder ◽  
...  

2020 ◽  
pp. 1-10
Author(s):  
P Flores Sanchez ◽  
M Muilwijk ◽  
M Nicolaou ◽  
MB Snijder ◽  
RJG Peters ◽  
...  

Abstract Objective: Studies have reported an inverse association between a diet rich in fruits and vegetables and type 2 diabetes (T2D), but data on high-risk ethnic minority groups is limited. We investigated whether serum carotenoids, as biomarkers for fruit and vegetable intake, mediate ethnic differences in the prevalence of T2D. Design: Age-adjusted serum carotenoid concentrations were compared using ANCOVA. A cross-sectional analysis was performed using Cox regression to estimate prevalence ratios (PR) and their 95 % CI of the association between serum carotenoid concentrations and T2D. To study whether serum carotenoids potentially mediate the differences in the prevalence of T2D across ethnic groups, we compared PR of the model including known risk factors and the model additionally adjusted for serum carotenoid concentrations using the Dutch group as reference. Setting: A study among six ethnic groups living in Amsterdam, the Netherlands. Participants: Data on 204 Dutch, 203 South Asian Surinamese, 204 African Surinamese, 203 Turkish and 200 Moroccan-origin participants from the Healthy Life in an Urban Setting (HELIUS) study were used. Results: Serum carotenoid concentrations differed across ethnic groups. After adjusting for confounders, the serum concentrations of total carotenoids (PR 0·67, 95 % CI 0·54, 0·84), α-carotene (PR 0·57, 95 % CI 0·42, 0·77), β-carotene (PR 0·45, 95 % CI 0·32, 0·63) and β-cryptoxanthin (PR 0·73, 95 % CI 0·58, 0·92) were inversely associated with T2D. Despite the associations, serum carotenoids did not mediate the ethnic differences in the prevalence of T2D. Conclusions: The limited contribution of serum carotenoids to ethnic differences in T2D suggests that a focus on increasing fruit and vegetable intake alone will not likely eliminate ethnic differences in T2D prevalence.


Nutrients ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 92 ◽  
Author(s):  
Merel Huisman ◽  
Sabita Soedamah-Muthu ◽  
Esther Vermeulen ◽  
Mirthe Muilwijk ◽  
Marieke Snijder ◽  
...  

Author(s):  
Thomas Joseph James ◽  
Jo Corbett ◽  
Michael H. Cummings ◽  
Sharon Allard ◽  
John S. Young ◽  
...  

Type 2 diabetes mellitus (T2DM) is characterized by chronic hyperglycemia and progressive insulin resistance, leading to macro and microvascular dysfunction. Passive heating has potential to improve glucose homeostasis and act as an exercise mimetic. We assessed the effect of acute passive heating before or during an oral glucose tolerance test (OGTT) in people with T2DM. Twelve people with T2DM were randomly assigned to 3 conditions:1) 3 h OGTT (CON); 2) 1 h passive heating (40 °C water) 30 min before an OGTT (HOT-OGTT); and 3) 1 h passive heating (40 °C water) 30 min after commencing an OGTT (OGTT-HOT). Blood [glucose], insulin sensitivity, extracellular heat shock protein 70 (eHSP70), total energy expenditure (TEE), heart rate (HR), systolic (SBP) and diastolic blood pressure (DBP) were recorded. Passive heating did not alter blood [glucose] (CON, 1,677 (386) a.u.; HOT-OGTT, 1,797 (340) a.u.; OGTT-HOT, 1,662 (364) a.u.; P = 0.28), insulin sensitivity (P = 0.15), or SBP (P = 0.18), but did increase [eHSP70] in both heating conditions (CON, 203.48 (110.81) pg·mL-1; HOT-OGTT, 402.47 (79.02) pg·mL-1; OGTT-HOT, 310.00 (60.53) pg·mL-1; P < 0.001), increased TEE (via fat oxidation) in the OGTT-HOT condition (CON, 263 (33) kcal; HOT-OGTT, 278 (40) kcal; OGTT-HOT, 304 (38) kcal; P = 0.001), increased HR in both heating conditions (P < 0.001) and reduced DBP in OGTT-HOT condition (P < 0.01). Passive heating in close proximity to a glucose challenge does not alter glucose tolerance but does increase [eHSP70] and TEE, and reduce blood pressure in people with T2DM.


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