Abstract P253: Body Mass Index and Heart Failure among Patients with Type 2 Diabetes

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Gang Hu ◽  
Peter Katzmarzyk ◽  
Ronald Horswell ◽  
Yujie Wang ◽  
Jolene Johnson ◽  
...  

Background: Epidemiologic data on the association between body mass index (BMI) and heart failure (HF) risk among diabetic patients is rare. Aim: To investigate the association between BMI and HF risk among patients with type 2 diabetic in the Louisiana State University Hospital-based Longitudinal study (LSUHLS). Methods: We performed a prospective cohort study of risk for HF among 31,155 patients of type 2 diabetes (11,468 men and 19,687 women). Cox proportional hazards regression models were used to estimate the association of different levels of BMI with HF risk. Results: During a mean follow-up of 7.8 years, 5,834 subjects developed HF (2,379 men and 3,455 women). The multivariable-adjusted (age, race, smoking, income and type of insurance) hazard ratios of HF associated with BMI levels (18.5-22.9, 23-24.9, 25-29.9 [reference group], 30-34.9, 35-39.9, and ≥40 kg/m2) at baseline were 0.95, 1.00, 1.00, 1.16, 1.64, and 2.02 (Ptrend <0.001) for men, and 1.16, 1.16, 1.00, 1.23, 1.55, and 2.01 (Pnon-linear <0.001) for women, respectively. When we used an updated mean value of BMI, the association of HF risk with BMI did not change. When stratified by age, race, smoking status and use of anti-diabetic drugs, the positive association among men and the J-shaped association among women were still present. Conclusions: Our study suggests a positive association between BMI and HF risk among men, and a J-shaped association between BMI and HF risk among women with type 2 diabetes.

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Snježana Kaštelan ◽  
Martina Tomić ◽  
Antonela Gverović Antunica ◽  
Spomenka Ljubić ◽  
Jasminka Salopek Rabatić ◽  
...  

The aim of the study was to investigate whether body mass index (BMI) independently or in correlation with other risk factors is associated with diabetic retinopathy (DR) progression. The study included 545 patients with type 2 diabetes. According to DR status, they were divided into three groups: group 1 (no retinopathy;n=296), group 2 (mild/moderate nonproliferative DR;n=118), and group 3 (severe/very severe NPDR or proliferative DR;n=131). Patients without DR were younger than those with signs of retinopathy at time of diabetes onset whilst diabetes duration was longer in groups with severe NPDR and PDR. DR progression was correlated with diabetes duration, BMI, HbA1c, hypertension, and cholesterol. Statistical analyses showed that the progression of retinopathy increased significantly with higher BMI (gr. 1: 26.50 ± 2.70, gr. 2: 28.11 ± 3.00, gr. 3: 28.69 ± 2.50;P<0.01). We observed a significant deterioration of HbA1c and a significant increase in cholesterol and hypertension with an increase in BMI. Correlation between BMI and triglycerides was not significant. Thus, BMI in correlation with HbA1c cholesterol and hypertension appears to be associated with the progression of DR in type 2 diabetes and may serve as a predictive factor for the development of this important cause of visual loss in developed countries.


2001 ◽  
Vol 86 (11) ◽  
pp. 5450-5456 ◽  
Author(s):  
Lidia Maianu ◽  
Susanna R. Keller ◽  
W. Timothy Garvey

Insulin resistance in type 2 diabetes is due to impaired stimulation of the glucose transport system in muscle and fat. Different defects are operative in these two target tissues because glucose transporter 4 (GLUT 4) expression is normal in muscle but markedly reduced in fat. In muscle, GLUT 4 is redistributed to a dense membrane compartment, and insulin-mediated translocation to plasma membrane (PM) is impaired. Whether similar trafficking defects are operative in human fat is unknown. Therefore, we studied subcellular localization of GLUT4 and insulin-regulated aminopeptidase (IRAP; also referred to as vp165 or gp160), which is a constituent of GLUT4 vesicles and also translocates to PM in response to insulin. Subcutaneous fat was obtained from eight normoglycemic control subjects (body mass index, 29 ± 2 kg/m2) and eight type 2 diabetic patients (body mass index, 30 ± 1 kg/m2; fasting glucose, 14 ± 1 mm). In adipocytes isolated from diabetics, the basal 3-O-methylglucose transport rate was decreased by 50% compared with controls (7.1 ± 2.9 vs. 14.1 ± 3.7 mmol/mm2 surface area/min), and there was no increase in response to maximal insulin (7.9 ± 2.7 vs. 44.5 ± 9.2 in controls). In membrane subfractions from controls, insulin led to a marked increase of IRAP in the PM from 0.103 ± 0.04 to 1.00± 0.33 relative units/mg protein, concomitant with an 18% decrease in low-density microsomes and no change in high-density microsomes (HDM). In type 2 diabetes, IRAP overall expression in adipocytes was similar to that in controls; however, two abnormalities were observed. First, in basal cells, IRAP was redistributed away from low-density microsomes, and more IRAP was recovered in HDM (1.2-fold) and PM (4.4-fold) from diabetics compared with controls. Second, IRAP recruitment to PM by maximal insulin was markedly impaired. GLUT4 was depleted in all membrane subfractions (43–67%) in diabetes, and there was no increase in PM GLUT4 in response to insulin. Type 2 diabetes did not affect the fractionation of marker enzymes. We conclude that in human adipocytes: 1) IRAP is expressed and translocates to PM in response to insulin; 2) GLUT4 depletion involves all membrane subfractions in type 2 diabetes, although cellular levels of IRAP are normal; and 3) in type 2 diabetes, IRAP accumulates in membrane vesicles cofractionating with HDM and PM under basal conditions, and insulin-mediated recruitment to PM is impaired. Therefore, in type 2 diabetes, adipocytes express defects in trafficking of GLUT4/IRAP-containing vesicles similar to those causing insulin resistance in skeletal muscle.


Author(s):  
Jurgita Gailite ◽  
Agnese Mikilpa-Mikgelba ◽  
Ieva Siliņa ◽  
Ināra Kirillova ◽  
Una Lauga-Tuņina ◽  
...  

Abstract The world has seen a rise of type 2 diabetes mellitus in children during the last 20 years. It is proposed that this increase is due to unhealthy eating habits, increasing obesity, especially among teenagers, and better diagnostics. The main risks associated with diabetes are microvascular and macrovascular complications, which can lead to early disability and premature death. The aim of our study was to identify children with type 2 diabetes mellitus or impaired glucose tolerance and investigate associated comorbidities at the time of diagnosis in the Children’s Clinical University Hospital in Latvia. A retrospective analysis was performed of all children with type 2 diabetes mellitus or glucose tolerance impairment from 2002 till 2013, who were treated in Children’s Endocrinology Centre. According to inclusion criteria, 57 patients were selected of whom 24 (42%) had type 2 diabetes mellitus and 33 (58%) had impaired glucose tolerance. Body mass index was analysed according to percentile and all patients were found to have excess weight. In children with type 2 diabetes mellitus, all patients had body mass index over the 99th percentile. Arterial hypertension was found in 66.7% and dyslipidemia in 54.2% type 2 diabetes mellitus patients. From all type 2 diabetes mellitus patients, 71% (n = 17) were girls and they had statistically significantly higher total cholesterol (p = 0.02) and low-density lipoprotein (p = 0.003) levels. Considering, that girls with type 2 diabetes mellitus have high cardiovascular risk in adulthood, it is very important not only to achieve normal glucose levels early, but also to treat comorbidities, to reduce further microvascular and macrovascular complication risk.


Author(s):  
Shuai Yuan ◽  
Ying Xiong ◽  
Madeleine Michaëlsson ◽  
Karl Michaëlsson ◽  
Susanna C. Larsson

AbstractA deeper understanding of the causal links from education level to health outcomes may shed a light for disease prevention. We conducted a wide-angled Mendelian randomization to disentangle the causal role of education level from intelligence for 31 health outcomes and explore to what extent body mass index and smoking mediate the associations. Genetically higher education level was associated with lower risk of major psychiatric disorders and most somatic diseases independent of intelligence, including suicide attempts, large artery stroke, heart failure, lung cancer, rheumatoid arthritis and type 2 diabetes, insomnia, major depressive disorder, total and ischemic stroke, coronary artery disease, breast cancer, ovarian cancer and gout. Adjustment for body mass index and smoking attenuated the associations between education and several outcomes, especially for type 2 diabetes and heart failure. These findings emphasize the importance of education to reduce the burden of common diseases.


2021 ◽  
pp. 00036-2021
Author(s):  
Sarah Driendl ◽  
Michael Arzt ◽  
Claudia S. Zimmermann ◽  
Bettina Jung ◽  
Tobias Pukrop ◽  
...  

BackgroundSleep apnoea (SA) and type 2 diabetes (T2D) have been linked to malignancy. The aim of the present study was to evaluate the association between SA and incidence of malignancy in patients with T2D.MethodsThe DIACORE (DIAbetes COhoRtE) study is a prospective, population-based cohort study in T2D patients. In the SDB (sleep-disordered breathing) sub-study, the apnoea-hypopnoea index (AHI), oxygen desaturation index (ODI) and percentage of night-time spent below a peripheral oxygen saturation of 90% (TSat90%) were assessed using a two-channel ambulatory monitoring device. Malignancy diagnoses were gathered using self-reported medical history data validated by medical records. Hazard ratios (HR) for incident malignancy were derived by Cox regression adjusting for sex, age, body-mass index, smoking status, alcohol intake, socioeconomic status and HbA1c.ResultsOf 1239 patients with T2D (mean age 67 years, 41% female, mean body-mass index 30.9 kg m−2), 79 (6.4%) were first-time diagnosed with a malignancy within a median follow-up period of 2.7 (interquartile range 2.2; 4.5) years. AHI, ODI and TSat90% were not associated with incident malignancy. In subgroup analysis, women showed increased cancer risk per AHI unit (adjusted HR 1.03 per AHI unit, 95% CI [1.00–1.06], p=0.028) and severe SA (defined as AHI≥30 h−1; adjusted HR 4.19, 95% CI [1.39–12.77], p=0.012). This was not seen in men, and a significant interaction was observed (interaction terms, p=0.048, p=0.033, respectively).ConclusionSA was not associated with incident malignancy in T2D patients. However, stratified analysis revealed a significant association between SA and incident malignancy in women, but not in men.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
wenhui zhao ◽  
Peter Katzmarzyk ◽  
Ronald Horswell ◽  
Yujie Wang ◽  
Jolene Johnson ◽  
...  

Background: Several prospective studies have evaluated the association between body mass index (BMI) and the risk of all-cause mortality among diabetic patients; however, the results are controversial. Aim: To investigate the association of BMI levels with all-cause mortality among patients with type 2 diabetes in the Louisiana State University Hospital-based Longitudinal study (LSUHLS). Methods: We performed a prospective cohort study (2000-2009) of diabetic patients including 19,785 African Americans and 15,534 whites. Cox proportional hazards regression models were used to estimate the association of BMI levels at baseline, during follow-up and at last visit with the risk of all-cause mortality. Results: During a mean follow up of 8.7 years, 4,206 deaths were identified. The multivariable-adjusted (age, sex, smoking, income and type of insurance) hazard ratios (HRs) of all-cause mortality associated with BMI levels (<23, 23-24.9, 25-29.9, 30-34.9 [reference group], 35-39.9, and ≥40 kg/m 2 ) at baseline were 2.53 (95% confidence interval [CI] 2.18-2.93), 1.76 (1.48-2.09), 1.23 (1.08-1.40), 1.00, 1.19 (1.02-1.38), and 1.22 (1.05-1.41) for African Americans, and 1.92 (1.63-2.27), 1.53 (1.28-1.82), 1.07 (0.95-1.21), 1.00, 1.07 (0.93-1.23), and 1.21 (1.06-1.39) for whites, respectively. When stratified by age, gender, smoking status or use of anti-diabetic drugs, a U-shaped association was still present. When we used an updated mean or last visit value of BMI, the U-shaped association of BMI with all-cause mortality risk did not change. Conclusions: The current study indicated a U-shaped association of BMI with all-cause mortality risk among African American and white patients with type 2 diabetes. A significantly increased risk of all-cause mortality was observed among African Americans with BMI<30 kg/m 2 and BMI ≥35 kg/m 2 , and among whites with BMI<25 kg/m 2 and BMI ≥40 kg/m 2 compared with patients with BMI 30-34.9 kg/m 2 .


2015 ◽  
Vol 8 (3) ◽  
pp. 455-463 ◽  
Author(s):  
Weiqin Li ◽  
Peter T. Katzmarzyk ◽  
Ronald Horswell ◽  
Yonggang Zhang ◽  
Yujie Wang ◽  
...  

2019 ◽  
Vol 105 (1) ◽  
pp. 96-105 ◽  
Author(s):  
Yun Shen ◽  
Lizheng Shi ◽  
Elizabeth Nauman ◽  
Peter T Katzmarzyk ◽  
Eboni G Price-Haywood ◽  
...  

Abstract Context Very few studies focused on the association between body mass index (BMI) and stroke risk among patients with diabetes. Objective We aimed to investigate the association between BMI and stroke risk in patients with type 2 diabetes. Design Demographic, anthropometric, laboratory, and medication information were extracted from the National Patient-Centered Clinical Research Network common data model. Participants We performed a retrospective cohort study of 67 086 patients with type 2 diabetes. Main Outcome Measures Incident stroke including both ischemic and hemorrhagic stroke were defined. Results During a mean follow up of 3.74 years. 8918 incident stroke events occurred. Multivariable-adjusted hazard ratios across different categories of BMI at baseline (18.5–24.9 [reference group], 25.0–29.9, 30.0–34.9, 35.0–39.9, and ≥40 kg/m2) were 1.00, 0.92, 0.85, 0.74, and 0.63 (Ptrend &lt;0.001) for total stroke; 1.00, 0.93, 0.88, 0.77, and 0.65 (Ptrend &lt;0.001) for ischemic stroke; and 1.00, 0.79, 0.50, 0.50, and 0.41 (Ptrend &lt;0.001) for hemorrhagic stroke, respectively. When we used an updated mean value of BMI, the graded inverse association of body mass index with stroke risk did not change. This linear association was consistent among patients of different subgroups. Further sensitivity analysis excluding patients who were diagnosed stroke within 6 months after first diagnosis of type 2 diabetes or including non-smokers only also confirmed our findings. Conclusion The present study found an inverse association between BMI and the risk of total, ischemic, and hemorrhagic stroke among patients with type 2 diabetes. More clinical and molecular insights are still needed in explaining these findings.


2018 ◽  
Vol 14 (4) ◽  
pp. 184-188
Author(s):  
Prerna Bansal ◽  
Hari Prasad Upadhyay

Background: Diabetes is an important public health problem as global prevalence of diabetes has nearly doubled reflecting an increase in risk factors like overweight or obesity and dyslipidemia. Both obesity and dyslipidemia share a common pathogenesis associated with “insulin resistance”. Thus the aim of this study is to find out correlation between BMI and lipid profile in type 2 diabetics. Materials and Methods: A cross-sectional study was conducted among 136 type 2 diabetes patients visiting the Diabetes Clinic of College of Medical Sciences, Bharatpur, Nepal during Jan-Dec 2017 and who went through lipid profile testing. The informations were taken from hospital records. To find the significant association between categorical variables chi-square test was used. P-value less than 0.05 were considered as statistically significant. To find the association between continuous variables correlation was used. Results: Out of 136 diabetic patients 77.2% of patients were either overweight or obese. 92.6% of patients had dyslipidemia. Among which 58.1% had high TG levels, 56.6% had high LDL levels, 34.6% had high TC levels and 44.9% had low HDL levels. The overall mean ± SD of age was 54.54±12.03 years and of BMI was 28.54±4.57. Positive correlation was seen between BMI with LDL levels and negative correlation with HDL levels. The correlation with other lipid profile parameters were negative. These correlations were found to be statistically not significant. But statistically significant association was seen between gender with weight, total cholesterol and HDL levels. Conclusions: Obesity and dyslipidemia were highly prevalent. As BMI increases LDL levels increases and HDL levels decreases. Also increased weight and abnormal lipid levels of total cholesterol and HDL were found significantly higher among females than males. Keywords: body mass index; lipid profile; type 2 diabetes; HDL; LDL.


Sign in / Sign up

Export Citation Format

Share Document