scholarly journals Differences in Body Composition Convey a Similar Risk of Type 2 Diabetes Among Different Ethnic Groups With Disparate Cardiometabolic Risk—The HELIUS Study

2021 ◽  
Author(s):  
Marleen Zethof ◽  
Charlotte M. Mosterd ◽  
Didier Collard ◽  
Henrike Galenkamp ◽  
Charles Agyemang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Composition ◽  
Ethnic Groups ◽  
South Asian ◽  
Cardiometabolic Risk ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
C Statistic ◽  
Helius Study

<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>

scholarly journals Differences in Body Composition Convey a Similar Risk of Type 2 Diabetes Among Different Ethnic Groups With Disparate Cardiometabolic Risk—The HELIUS Study

2021 ◽  
Author(s):  
Marleen Zethof ◽  
Charlotte M. Mosterd ◽  
Didier Collard ◽  
Henrike Galenkamp ◽  
Charles Agyemang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Composition ◽  
Ethnic Groups ◽  
South Asian ◽  
Cardiometabolic Risk ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
C Statistic ◽  
Helius Study

<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>

Differences in Body Composition Convey a Similar Risk of Type 2 Diabetes Among Different Ethnic Groups With Disparate Cardiometabolic Risk—The HELIUS Study

Diabetes Care ◽  
2021 ◽  
pp. dc210230
Author(s):  
Marleen Zethof ◽  
Charlotte M. Mosterd ◽  
Didier Collard ◽  
Henrike Galenkamp ◽  
Charles Agyemang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Composition ◽  
Ethnic Groups ◽  
Cardiometabolic Risk ◽  
Helius Study ◽  
Similar Risk

scholarly journals Sedentary lifestyle and body composition in type 2 diabetes

2022 ◽  
Vol 14 (1) ◽  
Author(s):  
Dan-dan Li ◽  
Yang Yang ◽  
Zi-yi Gao ◽  
Li-hua Zhao ◽  
Xue Yang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Lumbar Spine ◽  
Sedentary Time ◽  
Sedentary Lifestyle ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Appendicular Skeletal Muscle

Abstract Background Body composition alterations may participate in the pathophysiological processes of type 2 diabetes (T2D). A sedentary lifestyle may be responsible for alterations of body composition and adverse consequences, but on which body composition of patients with T2D and to what extent the sedentary lifestyle has an effect have been poorly investigated. Methods We recruited 402 patients with T2D for this cross-sectional study. All patients received questionnaires to evaluate sedentary time and were further divided into three subgroups: low sedentary time (LST, < 4 h, n = 109), middle sedentary time (MST, 4–8 h, n = 129) and high sedentary time (HST, > 8 h, n = 164). Each patient underwent a dual energy X-ray absorptiometry (DXA) scan to detect body composition, which included body fat percentage (B-FAT), trunk fat percentage (T-FAT), appendicular skeletal muscle index (ASMI), lumbar spine bone mineral density (BMD) (LS-BMD), femoral neck BMD (FN-BMD), hip BMD (H-BMD) and total BMD (T-BMD). Other relevant clinical data were also collected. Results With increasing sedentary time (from the LST to HST group), B-FAT and T-FAT were notably increased, while ASMI, LS-BMD, FN-BMD, H-BMD and T-BMD were decreased (p for trend < 0.01). After adjustment for other relevant clinical factors and with the LST group as the reference, the adjusted mean changes [B (95% CI)] in B-FAT, T-FAT, ASMI, LS-BMD, FN-BMD, H-BMD and T-BMD in the HST group were 2.011(1.014 to 3.008)%, 1.951(0.705 to 3.197)%, − 0.377(− 0.531 to − 0.223) kg/m2, − 0.083(− 0.124 to − 0.042) g/cm2, − 0.051(− 0.079 to − 0.024) g/cm2, − 0.059(− 0.087 to − 0.031) g/cm2 and − 0.060(− 0.088 to − 0.033) g/cm2, p < 0.01, respectively. Conclusions A sedentary lifestyle may independently account for increases in trunk and body fat percentage and decreases in appendicular skeletal muscle mass and BMD of the lumbar spine, femoral neck, hip and total body in patients with T2D.

Body Fat Percentage Rather than Body Mass Index Related to the High Occurrence of Type 2 Diabetes

2020 ◽  
Vol 51 (6) ◽  
pp. 564-571 ◽  
Author(s):  
Jorge Escobedo-de la Peña ◽  
Jorge Alejandro Ramírez-Hernández ◽  
María Teresa Fernández-Ramos ◽  
Evangelina González-Figueroa ◽  
Beatriz Champagne
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
High Occurrence

Serum carotenoid concentrations and their association with ethnic differences in type 2 diabetes within the Healthy Life in an Urban Setting (HELIUS) study

2020 ◽  
pp. 1-10
Author(s):  
P Flores Sanchez ◽  
M Muilwijk ◽  
M Nicolaou ◽  
MB Snijder ◽  
RJG Peters ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Ethnic Groups ◽  
Ethnic Differences ◽  
Vegetable Intake ◽  
Fruit And Vegetable Intake ◽  
Urban Setting ◽  
Healthy Life ◽  
Helius Study ◽  
Serum Carotenoids

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.

scholarly journals Contributions of amino acid, acylcarnitine and sphingolipid profiles to type 2 diabetes risk among South-Asian Surinamese and Dutch adults

2020 ◽  
Vol 8 (1) ◽  
pp. e001003 ◽  
Author(s):  
Mirthe Muilwijk ◽  
Susan M I Goorden ◽  
Carlos Celis-Morales ◽  
Michel H Hof ◽  
Karen Ghauharali-van der Vlugt ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Amino Acid ◽  
South Asian ◽  
Cox Regression ◽  
Urban Setting ◽  
Sphingolipid Metabolism ◽  
Increased Risk ◽  
Starting Point ◽  
Helius Study

IntroductionPeople of South Asian origin are at high risk of type 2 diabetes (T2D), but the underpinning mechanisms are not fully understood. We determined ethnic differences in acylcarnitine, amino acid and sphingolipid concentrations and determined the associations with T2D.Research design and methodsAssociations between these metabolites and incident T2D among Dutch and South-Asian Surinamese were determined in participants from the Healthy Life in an Urban Setting (HELIUS) study (Amsterdam, the Netherlands) using Prentice-weighted Cox regression. The HELIUS study includes 95 incident T2D cases and a representative subcohort of 700 people from a cohort of 5977 participants with a mean follow-up of 4 years.ResultsConcentrations of acylcarnitines were comparable between both ethnic groups. Amino acid and lactosylceramide concentrations were higher among South-Asian Surinamese than Dutch (eg, isoleucine 65.7 (SD 16.3) vs 60.7 (SD 15.6) µmol/L). Ceramide concentrations were lower among South-Asian Surinamese than Dutch (eg, Cer d18:1 8.48 (SD 2.04) vs 9.08 (SD 2.29) µmol/L). Metabolic dysregulation preceded T2D without evidence for a multiplicative interaction by ethnicity. Most amino acids and (dihydro)ceramides were associated with increased risk (eg, Cer d18:1 HR 2.38, 95% CI 1.81 to 3.12) while acylcarnitines, glycine, glutamine and lactosylceramides were associated with decreased risk for T2D (eg, LacCer d18:2 HR 0.56, 95% CI 0.42 to 0.77).ConclusionsOverall, these data suggest that the disturbances underlying amino acid and sphingolipid metabolism may be predictive of T2D risk in populations of both South Asian and European background. These observations may be used as starting point to unravel the underlying metabolic disturbances.

scholarly journals The Association of Handgrip Strength and Type 2 Diabetes Mellitus in Six Ethnic Groups: An Analysis of the HELIUS Study

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0137739 ◽  
Author(s):  
Anne-Lotte L. F. van der Kooi ◽  
Marieke B. Snijder ◽  
Ron J. G. Peters ◽  
Irene G. M. van Valkengoed
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Ethnic Groups ◽  
Handgrip Strength ◽  
Helius Study

scholarly journals Trends in HbA1c Change Among Youth Referred to a Pediatric Type 2 Diabetes Prevention Clinic

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A663-A663
Author(s):  
Emily Paprocki ◽  
Yun Yan ◽  
Brian R Lee ◽  
Mitchell Barnes ◽  
Francesco De Luca ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Initial Visit ◽  
Pediatric Endocrinology ◽  
Fat Percentage ◽  
Type 2 Diabetes Prevention ◽  
Race Ethnicity

Abstract Background: Pediatric type 2 diabetes (T2D) has increased in prevalence as childhood obesity rates climb. More youth are being referred to pediatric endocrinology due to the concern for developing T2D, yet prediction of which children will progress to overt T2D is challenging. We describe a single center experience with pediatric prediabetes referrals and trends in HbA1c change. Methods: Retrospective review of new patients seen at a Type 2 Diabetes Prevention (T2DP) Clinic July 2015 - December 2019. All children referred to T2DP Clinic have an elevated BMI and findings of insulin resistance/prediabetes/early T2D. They are evaluated by pediatric endocrinology providers and dieticians at each visit. The outcome of interest was categorical HbA1c change between patients’ initial and most recent T2DP Clinic visit. Only HbA1c measurements conducted at the study site were included to address inconsistencies in lab assays. HbA1c at the initial visit was categorized into 3 groups: 1) &lt; 5.7%; 2) 5.7 to &lt;6.5%; 3) 6.5% to &lt;8.5%. Final HbA1c was categorized similarly with the option to progress to a 4th HbA1c group of ≥8.5%. Patients were categorized as progressors, regressors, or stable depending on change in group (e.g., group 1 --&gt; group 2) between initial and most recent HbA1c. Comparisons between groups were made using ANOVA and Fisher’s exact tests. Results: Among 297 patients seen for an initial visit, mean BMI z-score was 2.3 and body fat percentage was 44%. High blood pressure occurred in 47%, high ALT in 24%, low HDL in 14%. Prevalence of initial HbA1c &lt; 5.7%, 5.7 to &lt; 6.5%, and 6.5% to &lt; 8.5% was 46%, 42%, and 12%, respectively. One-third (31%) were prescribed metformin at their initial visit. Only 63 patients (21%) had 2 or more visits in the T2DP Clinic with study site HbA1c data available. Of those 63 patients, mean age at initial visit was 12.5 years, BMI z-score 2.0, and body fat 46%. Most patients were female (68%) with public insurance (70%). Race/ethnicity was 35% black, 29% white, 30% Hispanic. Mean time between initial and most recent HbA1c was 11.9 months. Assessment of categorical HbA1c change showed 14% of patients with progression (n=9), 65% stable (n=41), and 21% with regression (n=13). Female sex, ALT elevation, HbA1c, fasting glucose were found to be statistically different between the groups at baseline (p &lt; 0.05). Age, race/ethnicity, BMI, body fat percentage, elevated blood pressure, lipid profile, 120-minute glucose on OGTT, and metformin use were not different between the groups. Conclusions. Only 14% of children who presented for follow up in our T2DP clinic demonstrated progression in HbA1c. Risk factors for those who progress include female sex and ALT elevation. Further development of predictive models to identify this high-risk population who will progress is necessary. Retaining consistent follow up in pediatric prediabetes clinics presents a challenge.

scholarly journals Network Mendelian randomization study: exploring the causal pathway from insomnia to type 2 diabetes

2022 ◽  
Vol 10 (1) ◽  
pp. e002510
Author(s):  
Wen Xiuyun ◽  
Lin Jiating ◽  
Xie Minjun ◽  
Li Weidong ◽  
Wu Qian ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Fat ◽  
Mendelian Randomization ◽  
Body Fat Percentage ◽  
Causal Association ◽  
Fat Percentage ◽  
Waist To Hip Ratio ◽  
Increased Risk ◽  
Causal Pathway

IntroductionInsomnia is a novel pathogen for type 2 diabetes mellitus (T2DM). However, mechanisms linking insomnia and T2DM are poorly understood. In this study, we apply a network Mendelian randomization (MR) framework to determine the causal association between insomnia and T2DM and identify the potential mediators, including overweight (body mass index (BMI), waist-to-hip ratio, and body fat percentage) and glycometabolism (HbA1c, fasting blood glucose, and fasting blood insulin).Research design and methodsWe use the MR framework to detect effect estimates of the insomnia–T2DM, insomnia–mediator, and mediator–T2DM associations. A mediator between insomnia and T2DM is established if MR studies in all 3 steps prove causal associations.ResultsIn the Inverse variance weighted method, the results show that insomnia will increase the T2DM risk (OR 1.142; 95% CI 1.072 to 1.216; p=0.000), without heterogeneity nor horizontal pleiotropy, strongly suggesting that genetically predicted insomnia has a causal association with T2DM. Besides, our MR analysis provides strong evidence that insomnia is causally associated with BMI and body fat percentage. There is also suggestive evidence of an association between insomnia and the waist-to-hip ratio. At the same time, our results indicate that insomnia is not causally associated with glycometabolism. Higher BMI, waist-to-hip ratio, and body fat percentage levels are strongly associated with increased risk of T2DM.ConclusionsGenetically predicted insomnia has a causal association with T2DM. Being overweight (especially BMI and body fat percentage) mediates the causal pathway from insomnia to T2DM.

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