Improved glycemic control reduces the impact of weight gain on cardiovascular risk factors in type 1 diabetes. The Epidemiology of Diabetes Complications Study

Effect of Body Weight on Glycaemic Indices in People with Type 1 Diabetes Using Continuous Glucose Monitoring

Background/Objectives: Obesity and overweight have become increasingly prevalent in different populations of people with type 1 diabetes (PwT1D). This study aimed to assess the effect of body weight on glycaemic indices in PwT1D. Methods: Adult PwT1D using continuous glucose monitoring (CGM) and followed up at a regional academic diabetes centre were included. Body weight, body mass index (BMI), waist circumference, glycated haemoglobin (HbA1c), and standard CGM glycaemic indices were recorded. Glycaemic indices were compared according to BMI, and correlation and linear regression analysis were performed to estimate the association between measures of adiposity and glycaemic indices. Results: A total of 73 PwT1D were included (48% normal weight, 33% overweight, and 19% obese). HbA1c was 7.2% (5.6-10), glucose management indicator (GMI) 6.9% (5.7-8.9), coefficient of variation (CV) for glucose 39.5% ± 6.4, mean glucose 148 (101-235) mg/dL, TIR (time in range, glucose 70-180 mg/dL) 66% (25-94), TBR70 (time below range, 54-69 mg/dL) 4% (0-16), TBR54 (<54 mg/dL) 1% (0-11), TAR180 (time above range, 181-250 mg/dL) 20% ± 7, and TAR250 (>250 mg/dL) 6% (0-40). Glycaemic indices and achievement (%) of optimal glycaemic targets were similar between normal weight, overweight, and obese patients. BMI was associated negatively with GMI, mean glucose, TAR180, and TAR250 and positively with TIR; waist circumference was negatively associated with TAR250. Conclusions: CGM-derived glycaemic indices were similar in overweight/obese and normal weight PwT1D. Body weight and BMI were positively associated with better glycaemic control. PwT1D should receive appropriate ongoing support to achieve optimal glycaemic targets whilst maintaining a healthy body weight.

Overweight and Obesity in People Living With Type 1 Diabetes: A Cross-Sectional Analysis of the BETTER Registry

AIMS

The prevalence and associations of overweight and obesity in Canadian adult people living with type 1 diabetes (PWT1D) are poorly documented. In a cohort of PWT1D patients, this study assesses (i) overweight and obesity frequencies and associated PWT1D clinicodemographic characteristics, (ii) diabetes characteristics, and (iii) the use of noninsulin adjunctive agents.

MATERIALS AND METHODS

Cross-sectional analysis of self-reported data from the BETTER registry: 1091 adult PWT1D (aged 44.4 ± 15.0 years; 32% HbA1c<7% [53 mmol/mol]) classified by BMI classes: underweight combined with normal weight, overweight, or obesity. Bivariate analyses were used to identify associations between BMI classes, diabetes characteristics, complications, and treatments.

RESULTS

Overweight and obesity affected 34.6% and 19.8% of participants. Compared to underweight + normal weight, PWT1D with overweight/obesity was associated with male sex, higher age, lower education level, longer diabetes duration, and higher total insulin doses and use of cardiorenal therapies (all p < 0.001). Compared to other PWT1D, those living with obesity reported higher HbA1c (p < 0.05), less frequent hypoglycemia (p < 0.05), more cardiovascular diseases (p < 0.003), retinopathy, neuropathy, depression treatment as well as noninsulin adjunctive agent use (all p < 0.001). Logistic regression showed that living with overweight/obesity was associated with male sex, being treated for cardiorenal therapies, depression, diabetes duration, and total daily insulin doses.

CONCLUSIONS

Overweight or obesity affects over half of adult PWT1D in the Canadian BETTER registry and is associated with higher HbA1c levels, higher total daily insulin doses, more chronic diabetes complications and noninsulin adjunctive agent use, a worse cardiometabolic profile, and lower hypoglycemia frequency.

Body composition and metabolic syndrome in patients with type 1 diabetes

BACKGROUND

In recent years, the prevalence of obesity and metabolic syndrome in type 1 diabetes (T1DM) patients has gradually increased. Insulin resistance in T1DM deserves attention. It is necessary to clarify the relationship between body composition, metabolic syndrome and insulin resistance in T1DM to guide clinical treatment and intervention.

AIM

To assess body composition (BC) in T1DM patients and evaluate the relationship between BC, metabolic syndrome (MS), and insulin resistance in these indi-viduals.

METHODS

A total of 101 subjects with T1DM, aged 10 years or older, and with a disease duration of over 1 year were included. Bioelectrical impedance analysis using the Tsinghua-Tongfang BC Analyzer BCA-1B was employed to measure various BC parameters. Clinical and laboratory data were collected, and insulin resistance was calculated using the estimated glucose disposal rate (eGDR).

RESULTS

MS was diagnosed in 16/101 patients (15.84%), overweight in 16/101 patients (15.84%), obesity in 4/101 (3.96%), hypertension in 34/101 (33.66%%) and dyslipidemia in 16/101 patients (15.84%). Visceral fat index (VFI) and trunk fat mass were significantly and negatively correlated with eGDR (both P < 0.001). Female patients exhibited higher body fat percentage and visceral fat ratio compared to male patients. Binary logistic regression analysis revealed that significant factors for MS included eGDR [P = 0.017, odds ratio (OR) = 0.109], VFI (P = 0.030, OR = 3.529), and a family history of diabetes (P = 0.004, OR = 0.228). Significant factors for hypertension included eGDR (P < 0.001, OR = 0.488) and skeletal muscle mass (P = 0.003, OR = 1.111). Significant factors for dyslipidemia included trunk fat mass (P = 0.033, OR = 1.202) and eGDR (P = 0.037, OR = 0.708).

CONCLUSION

Visceral fat was found to be a superior predictor of MS compared to conventional measures such as body mass index and waist-to-hip ratio in Chinese individuals with T1DM. BC analysis, specifically identifying visceral fat (trunk fat), may play an important role in identifying the increased risk of MS in non-obese patients with T1DM.

Weight gain trajectories and obesity rates in intensive and conventional treatments of type 1 diabetes from the DCCT compared with a control population without diabetes

AIM

Obesity is a significant health issue for participants with type 1 diabetes undergoing intensive diabetes management. The temporal pattern and factors associated with weight gain after treatment initiation remain poorly understood including how weight gain in participants with and without type I diabetes compare. Our aim was to compare weight gain in those receiving intensive (INT) and conventional (CONV) type 1 diabetes treatment to a population without diabetes.

METHODS

Participants included men and women of 18 years and older in the Diabetes Control and Complications Trial (DCCT) randomized to INT (n = 562) or CONV (n = 568) and a prospective, observational cohort without diabetes from the Coronary Artery Development in Young Adults (CARDIA, controls) study (n = 2446). Body mass index (BMI) trajectories and obesity prevalence were compared between groups and candidate metabolic and therapeutic moderators investigated.

RESULTS

Annual weight gain with INT peaked 1.3 years after initiation and was greater than both CONV and controls before and after this peak. Obesity prevalence with INT was lower than controls at baseline, was similar to controls at 2 years and surpassed controls by 5 years. Obesity rates with CONV remained below controls at all time points. Greater annual weight gain in the DCCT was associated with lower haemoglobin A_1c , higher insulin dose and family history of type 2 diabetes.

CONCLUSIONS

Greater weight gain accompanying INT therapy occurs in two stages, leads to similar or greater obesity rates than controls after 2 years and is primarily modified by glucose control and family history, supportive of a therapeutic-genetic influence on weight trajectories.

Symptoms of depression and anxiety in adults with type 1 diabetes: Associations with self-care behaviour, glycaemia and incident complications over four years - Results from diabetes MILES-Australia

OBJECTIVE

To examine whether symptoms of depression or anxiety predict glycaemia and incident diabetes complications four years later, and whether diabetes self-care behaviours mediate these associations, in adults with type 1 diabetes (T1DM).

METHODS

Data of 205 adults with T1DM from the 2011 and 2015 Diabetes MILES-Australia surveys were analysed. Variables of interest were: baseline depression and anxiety (PHQ-8 and GAD-7, respectively) symptoms; HbA_1c and incident complications at four-year follow-up; and self-care behaviours at both time points. Longitudinal associations were analysed using structural equation modelling.

RESULTS

Forty-two participants (20.6%) reported incident complications. Baseline depressive symptoms predicted higher HbA_1c at follow-up indirectly via less optimal self-care at follow-up (β = 0.19, P = 0.011). Baseline anxiety was not independently associated with HbA_1c or self-care at follow-up (P ≥ 0.64). Neither depressive nor anxiety symptoms predicted incident complications, although depressive symptoms were associated with less optimal self-care at baseline (β = -0.67, P < 0.001), and this predicted microvascular complications (β = -0.38, P = 0.044); however, the indirect association via self-care was not significant (β = 0.25, P = 0.067).

LIMITATIONS

Participants were self-selected; all study variables were assessed using self-report measures; and adjusting for baseline HbA_1c was not possible.

CONCLUSIONS

Depressive symptoms predicted suboptimal self-care behaviour and glycaemic outcome four years later, while anxiety symptoms did not. The findings suggest that tailored diabetes care should take the potential impact of comorbid depression into consideration to help people improve their diabetes self-care and achieve best possible health outcomes.

Socioeconomic deprivation, technology use, C-peptide, smoking and other predictors of glycaemic control in adults with type 1 diabetes

AIMS

Intensive glycaemic control is associated with substantial health benefits in people with type 1 diabetes. We sought to examine clinical and demographic factors associated with meeting glycaemic targets in type 1 diabetes.

METHODS

We conducted a cross-sectional analysis of 4594 individuals with type 1 diabetes. The primary outcome of the study was assessing factors associated with meeting HbA_1c targets. Secondary endpoints included factors associated with continuous subcutaneous insulin infusion (CSII) use and persistent C-peptide secretion.

RESULTS

Socioeconomic deprivation was strongly associated with a lower likelihood of achieving an HbA_1c <58 mmol/mol (7.5%) (20% in the most deprived quintile vs. 40% in the least deprived, p < 0.001). In multivariate analysis, absence of smoking history (OR 3.06, p < 0.001), flash monitoring (OR 1.49, p < 0.001), CSII (1.43, p = 0.022) and longer diabetes duration (OR 1.02 per year, p = 0.004) were independently associated with achieving HbA_1c <58 mmol/mol (7.5%), whereas increasing age (OR 0.99 per year, p = 0.004) and C-peptide <50 pM (OR 0.58, p < 0.001) were associated with a lower likelihood of meeting this target. Low C-peptide (<50 pM) was less likely in men (OR 0.55, p < 0.001) and never smokers (0.44, p < 0.001) in multivariate analysis.

CONCLUSIONS

Lower levels of deprivation, non-smoking, higher C-peptide, technology use, lower BMI and male gender were all associated with a higher likelihood of meeting HbA_1c targets. Access to proven diabetes treatments is lower in the most deprived individuals. Urgent efforts are required to provide treatments which are effective across the socioeconomic gradient.

Double Diabetes: A Growing Problem Requiring Solutions

The growing proportion of type 1 diabetes mellitus (T1DM) patients with clinical features of insulin resistance (IR) has led to the description of a distinctive T1DM subgroup, still unrecognised by current guidelines, called double diabetes, assumingly associated with poorer metabolic phenotype and increased risk of micro- and macrovascular complications. The main goal of identifying double diabetes, estimated to be present in up to half of T1DM patients, is timely implementation of appropriate therapeutic interventions to reduce the increased risk of chronic complications and other adverse metabolic traits associated with this condition. Proposed diagnostic criteria are largely divided into three different groups: family history of type 2 diabetes mellitus (T2DM), obesity/metabolic syndrome, and IR. Estimated glucose disposal rate may prove the most reliable marker of double diabetes. In addition to general measures (diet, physical activity, antihypertensive, and lipid-lowering medications, etc.) and development of new insulin preparations with more hepatic action, double diabetes patients may derive more benefit from agents developed for T2DM. Indeed, such potentially promising agents include glucagon-like peptide-1 receptor agonists, sodium-glucose contrasporter-2 inhibitors, and their combination. We are now awaiting long-term trials assessing metabolic and vascular benefits of these medications in double diabetes.

Double diabetes: A distinct high-risk group?

The term double diabetes (DD) has been used to refer to individuals with type 1 diabetes (T1D) who are overweight, have a family history of type 2 diabetes and/or clinical features of insulin resistance. Several pieces of evidence indicate that individuals who display features of DD are at higher risk of developing future diabetes complications, independently of average glucose control, measured as glycated haemoglobin (HbA1c) concentration. Given the increased prevalence of individuals with features of DD, pragmatic criteria are urgently required to identify and stratify this group, which will help with subsequent implementation of more effective personalized interventions. In this review, we discuss the potential criteria for the clinical identification of individuals with DD, highlighting the strengths and weaknesses of each definition. We also cover potential mechanisms of DD and how these contribute to increased risk of diabetes complications. Special emphasis is placed on the role of estimated glucose disposal rate (eGDR) in the diagnosis of DD, which can be easily incorporated into clinical practice and is predictive of adverse clinical outcome. In addition to the identification of individuals with DD, eGDR has potential utility in monitoring response to different interventions. T1D is a more heterogeneous condition than initially envisaged, and those with features of DD represent a subgroup at higher risk of complications. Pragmatic criteria for the diagnosis of individuals with DD will help with risk stratification, allowing a more personalized and targeted management strategy to improve outcome and quality of life in this population.

Double or hybrid diabetes: A systematic review on disease prevalence, characteristics and risk factors

Diabetes mellitus is a worldwide epidemic affecting the health of millions of people. While type 1 diabetes (T1D) is caused by autoimmune destruction of the insulin-producing beta cells of the pancreas, type 2 diabetes (T2D) results from a combination of insulin resistance and beta cell insulin secretory defect. Clear definition and diagnosis of these two types of diabetes has been increasing more and more difficult, leading to the inclusion of a new category, namely double or hybrid diabetes (DD) that demonstrates symptoms of both T1D and T2D via the accelerator hypothesis. In this review, we discuss the worldwide prevalence of DD, its main physiological characteristics, including beta-cell autoimmunity, insulin resistance, and cardiovascular disease, the main risk factors of developing DD, mainly genetics, obesity and lifestyle choices, as well as potential treatments, such as insulin titration, metformin and behavioural modifications. Increasing awareness of DD among the general population and primary care practitioners is necessary for successfully treating this complex, hybrid disease in the future.

The metabolic consequences of overweight in a cohort of children with type 1 diabetes

Objective To estimate the prevalence of overweight and obesity among a cohort of children with type 1 diabetes mellitus (T1DM) and its metabolic consequences. Methods This was a cross-sectional study conducted in the Pediatric Diabetic Clinic at Shaare Zedek Medical Center and Clalit Health Care Services. Background information was taken from the patients' files. Anthropometric measures, blood pressure, waist and hip circumference (WC and HC), hemoglobin A1c (HbA1c) and lipid profile were recorded. The prevalence of metabolic derangements was compared between normal and overweight children. Results The study included 96 patients with type 1 diabetes, mean age 14.1 ± 3.7 years, mean diabetes duration 3.9 ± 3 and mean HbA1c level 8.1 ± 1.4% (65 mmol/mol). Thirty-seven percent of the study population were overweight and of them 11.5% were obese. In the overweight group, the high-density lipoprotein (HDL) levels were significantly lower and systolic blood pressure (SBP) and diastolic blood pressure (DBP) values were higher compared with normal weight participants. Multivariate analysis showed that BMI and age at study affected SBP and HDL levels, while age at study and HbA1c levels affected DBP. Female patients were significantly overweight compared to males and had higher low-density lipoprotein (LDL) and cholesterol levels. Waist-to-hip ratio, an indicator of central obesity, was abnormally high among overweight males and females. Conclusions In our cohort of children with type 1 diabetes, there were a significant number of overweight children, with a higher prevalence in females. Components of metabolic syndrome were more prevalent among overweight and obese diabetic individuals.

Body mass index standard deviation score and obesity in children with type 1 diabetes in the Nordic countries. HbA1c and other predictors of increasing BMISDS

BACKGROUND

Intensified insulin therapy may increase body weight and cause obesity. This study compared body mass index standard deviation score (BMISDS) and obesity rate in children with type 1 diabetes (T1D) in Denmark, Iceland, Norway and Sweden, and uncovered predictors for increasing BMISDS.

METHODS

Data registered in the Nordic national childhood diabetes databases during the period 2008-2012 on children below 15 years with T1D for more than 3 months were compiled, including information on gender, age, diabetes duration, hemoglobin A_1c (HbA_1c ), insulin dose, severe hypoglycemia (SH), treatment modality, height and weight. The Swedish reference chart for BMI was used for calculating BMISDS.

RESULTS

Totally, 11 025 children (48% females) (30 994 registrations) were included. Medians by the last recorded examination were: age, 13.5 years; diabetes duration, 4.3 years; HbA_1c , 7.9% (63 mmol/mol); insulin dose, 0.8 IU/kg/d and BMISDS, 0.70. Obesity rate was 18.5%. Adjusted mean BMISDS (BMISDS adj) was inversely related to HbA_1c and directly to diabetes duration. Higher BMISDS adj was found in those with an insulin dose above 0.6 IU/kg/d, and in girls above 10 years. Pump users had higher BMISDS adj than pen users, and patients with registered SH had higher BMISDS adj than patients without SH (both P < .001).

CONCLUSION

Obesity rate in children with T1D in the Nordic countries is high, however, with country differences. Low HbA_1c , long diabetes duration, higher insulin dose, pump treatment and experiencing a SH predicted higher BMISDS. Diabetes caregivers should balance the risk of obesity and the benefit of a very low HbA_1c.

The Role of Physical Exercise in Obesity and Diabetes

The prevalence of obesity is increasing world-wide. Obesity is associated with a plethora of metabolic and clinical constraints, which result in a higher risk for the development of cardiovascular complications and metabolic disease, particularly insulin resistance and type 2 diabetes. Obesity is an acknowledged determinant of glycemic control in patients with type 1 diabetes and accounts for the majority of premature death due to cardiovascular events. Physical exercise is generally recommended in patients with diabetes in order to prevent the development of or reduce existing obesity, as adopted by every international treatment guideline so far. Regular physical exercise has a beneficial impact on body composition, cardiovascular integrity, insulin sensitivity and quality of life. However, only a minority of patients participates in regular physical exercise, due to individual or disease-related barriers. In type 2 diabetes, there is robust evidence for beneficial effects of physical exercise on glycemic control, cardiovascular health and the development of diabetes-related long-term complications. In type 1 diabetes and patients treated with insulin, a higher risk for exercise-related hypoglycemia has to be considered, which requires certain prerequisites and adequate adaptions of insulin dosing. Current treatment guidelines do only incompletely address the development of exercise-related hypoglycemia. However, every patient with diabetes should participate in regular physical exercise in order to support and enable sufficient treatment and optimal glycemic control.

Trends in cardiovascular risk factor management in type 1 diabetes by sex

AIMS

DCCT showed that intensive type 1 diabetes management reduces complication incidence but did not focus on other cardiovascular disease risk factors, whose control in type 1 diabetes has not been well-studied. We assessed trends in cardiovascular risk factors in type 1 diabetes and attainment of concurrent American Diabetes Association (ADA) guidelines/recommendations (for HbA1c, blood pressure, LDL cholesterol, triglycerides) for complication prevention.

METHODS

Individuals with childhood-onset type 1 diabetes (n = 658; 49.4% women; baseline (1986-1988) median age 27 and duration 19 years) were followed biennially for up to 25 years, with surveys and/or examinations.

RESULTS

At the latest recorded follow-up, achievement of concurrent ADA recommendations increased for HbA1c (from 9.7 to 25.6%, p < .0001); was unchanged for blood pressure (from 89.7% to 87.4%, p = .36); and decreased for LDL cholesterol (from 62.3 to 39.7%, p < .0001). Adoption of intensive insulin therapy (from 5.9 to 64.4%, p < .0001) and hypercholesterolemia (from 67.3 to 78.9%, p = .0006) also increased. Overall, the proportion meeting all four recommendations was essentially unaltered (from 6.8% to 7.6%) (p = .69). Results were similar by gender.

CONCLUSIONS

Although the adoption of intensive insulin therapy and obtaining ADA HbA1c recommendations are increasing, overall cardiovascular risk factor compliance remains low and merits further intervention.

Beyond glycaemic control: A cross-over, double-blinded, 24-week intervention with liraglutide in type 1 diabetes

AIMS

To investigate the effects of 24 weeks of treatment with liraglutide added to basal/bolus insulin on anthropometric and metabolic parameters in overweight participants with type 1 diabetes.

METHODS

In a double-blinded cross-over fashion, 15 participants were randomly assigned (1:1) to receive placebo (saline solution) or liraglutide for 24 weeks including a 1-month titration period from 0.6 to 1.2 to 1.8 mg, in addition to their insulin. The treatment was followed by a 1-month wash-out period. Participants were then assigned to the other treatment for another 24 weeks. Paired rank tests were used to compare the metabolic parameters.

RESULTS

There was no treatment effect on HbA1c nor on insulin dose. Heart rate was increased by about 8 beats per minute with liraglutide. There were significant reductions in metabolic measures: weight, body mass index, waist and hip circumferences, body fatness, computed tomography scan abdominal and mid-thigh measurements, systolic and diastolic blood pressures (all P ≤ .05). There was no increase in time spent in hypoglycaemia with liraglutide.

CONCLUSIONS

The addition of liraglutide to basal/bolus insulin therapy for 24 weeks in overweight/obese individuals with type 1 diabetes improved the anthropometric and metabolic profiles without an increase in hypoglycaemia. Clinical Trials.gov No: NCT01787916.

Body mass index and adiposity indicators associated with cardiovascular biomarkers in youth with type 1 diabetes followed prospectively

BACKGROUND

The impact of excess weight on cardiovascular disease risk in type 1 diabetes patients is unclear.

OBJECTIVE

This study examined associations of BMI and body composition with cardiovascular risk factors in youth followed prospectively for 18 months.

METHODS

The sample includes youth with type 1 diabetes (N = 136, baseline age = 12.3 ± 2.5y, glycated hemoglobin = 8.1 ± 1.1%) participating in an 18-month behavioral nutrition intervention trial. BMI, body composition (by dual energy x-ray absorptiometry), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C); triglycerides (TG), c-reactive protein (CRP), 8-iso-prostaglandin-F2alpha (8-iso-PGF2α), adiponectin and systolic and diastolic blood pressure (SBP and DBP, respectively) were assessed at clinic visits every 6 months. Random effects regression models for repeated measures estimated associations of time-varying BMI and body composition with time-varying cardiovascular risk factors, adjusted for treatment assignment and covariates.

RESULTS

There was no intervention effect on cardiovascular risk factors. Percent body fat was positively associated with TG, LDL-C, CRP, SBP and DBP, while trunk fat mass and trunk %fat were associated positively with TG, LDL-C, CRP, SBP and DBP, and inversely with HDL-C. Higher BMI was associated with greater TG, CRP, SBP and DBP and lower HDL-C. BMI and body composition indicators were unrelated to 8-iso-PGF2α and adiponectin.

CONCLUSIONS

Excess adiposity is associated with increased cardiovascular risk factors in this sample of youth with type 1 diabetes. Non-significant associations with adiponectin and 8-iso-PGF2α suggest potential differences from the general population in the role of adiposity in cardiovascular health.

Weight Management in Patients with Type 1 Diabetes and Obesity

PURPOSE OF REVIEW

Patients with type 1 diabetes (T1D) are typically viewed as lean individuals. However, recent reports showed that their obesity rate surpassed that of the general population. Patients with T1D who show clinical signs of type 2 diabetes such as obesity and insulin resistance are considered to have "double diabetes." This review explains the mechanisms of weight gain in patients with T1D and how to manage it.

RECENT FINDINGS

Weight management in T1D can be successfully achieved in real-world clinical practice. Nutrition therapy includes reducing energy intake and providing a structured nutrition plan that is lower in carbohydrates and glycemic index and higher in fiber and lean protein. The exercise plan should include combination stretching as well as aerobic and resistance exercises to maintain muscle mass. Dynamic adjustment of insulin doses is necessary during weight management. Addition of anti-obesity medications may be considered. If medical weight reduction is not achieved, bariatric surgery may also be considered.

Differential association of body mass index on glycemic control in type 1 diabetes

BACKGROUND

In contrast to type 2 diabetes, the association of body mass index (BMI) with glycemic control in type 1 diabetes (T1D) remains unclear. We investigated the relationship between BMI and average HbA_1c levels in subjects with T1D.

METHOD

In this multi-centre observational study, we analysed 719 subjects with T1D aged ≥18 years. Average HbA_1c levels over 18 months and other clinical and laboratory parameters were evaluated.

RESULTS

The mean age and duration of diabetes at baseline were 41.5 ± 13.9 and 11.3 ± 8.7 years, respectively. A U-shaped correlation between BMI and 18-month average HbA_1c levels was documented by a spline curve. Based on this finding, subjects were divided into three groups according to BMI (group I, <21; group II, 21-23; and group III, ≥23 kg/m² ). In group I, the BMI negatively correlated with average HbA_1c (r = -0.172, p = 0.011), while a positive relationship was observed (r = 0.162, p = 0.012) in group III. Average HbA_1c levels were lower and the proportion of individuals with well-controlled glycemia (HbA_1c <7%) were increased in the higher BMI tertile group among subjects with group I as well as in the lower BMI tertile group among subjects with group III BMI. After adjustment with additional covariates in the multiple regression model, these associations between BMI and HbA_1c levels according to the different BMI ranges remained significant.

CONCLUSIONS

In Korean subjects with T1D, an inverse relationship of BMI with HbA_1c levels was observed in the low BMI group, while a positive correlation was shown in the high BMI group. Copyright © 2016 John Wiley & Sons, Ltd.

Glycemic control and variability in association with body mass index and body composition over 18months in youth with type 1 diabetes

AIMS

The impact of adiposity on glycemic control in type 1 diabetes patients has important implications for preventing complications. This study examined associations of glycemic outcomes with body mass index (BMI, kg/m(2)) and body composition in youth with type 1 diabetes.

METHODS

This is a secondary analysis of an 18-month randomized controlled dietary intervention trial (N=136, baseline age=12.3±2.5y, HbA1c=8.1±1.0% (65±11mmol/mol)). Measured height and weight every 3months were abstracted from medical records. Body composition was assessed by dual energy X-ray absorptiometry (DXA) at baseline, 12 and 18months. Glycated hemoglobin (HbA1c) and glycemic variability assessed by masked 3-day continuous blood glucose monitoring (CGM) were obtained every 3months. 1,5-Anhydroglucitol (1,5-AG) was assessed every 6months. Adjusted random effects models for repeated measures estimated associations of time-varying BMI and body composition with time-varying glycemic outcomes.

RESULTS

There was no treatment effect on glycemic outcomes. HbA1c was not associated with BMI or body composition indicators. 1,5-AG was inversely associated with BMI and adiposity indicators (%fat, trunk fat mass and trunk %fat), adjusting for developmental covariates. Adiposity indicators were positively associated with %glucose >180mg/dL and >126mg/dL when adjusting for developmental covariates, and %glucose >126mg/dL when additionally adjusting for diabetes-related covariates. Fewer consistent relationships were observed for 3-day mean glucose and %glucose <70.2mg/dL. BMI and body composition variables were not associated with standard deviation of glycemic values or mean amplitude of glycemic excursions.

CONCLUSIONS

The role of greater BMI and adiposity in diabetes management in youth with type 1 diabetes may relate specifically to increased hyperglycemic excursions.

The influence of clinical and genetic factors on the development of obesity in children with type 1 diabetes

The exact cause of the obesity epidemic remains unknown; however, both environmental and genetic factors are involved. People at risk of developing obesity include children with type 1 diabetes mellitus (T1DM), which in turn increases their cardiovascular disease risk. Here, we discuss the clinical and genetic factors influencing weight in patients with T1DM. In children with T1DM, the presence of obesity depends mainly on sex, metabolic control, and disease duration. However, genetic factors, including the fat mass and obesity-associated (FTO) gene, are also associated with body weight. Indeed, children with the FTO gene rs9939609 obesity-risk allele (homozygous = AA or heterozygous = AT) are predisposed to a higher body mass index and have a greater risk of being overweight or obese. However, in this review, we show that FTO gene polymorphisms only have a small effect on body weight in children, much weaker than the effect of clinical factors. The association between FTO gene polymorphisms and body weight is only statistically significant in children without severe obesity. Moreover, other genetic factors had no effect on weight in patients with T1DM, and further research involving larger populations is required to confirm the genetic basis of diabetes and obesity. Therefore, identifying the clinical features of children with T1DM, such as their initial body mass index, sex, metabolic control, and disease duration, will still have the strongest effect on reducing risk factors for cardiovascular diseases. Physicians should pay close attention to modifiable elements of these relationships, for example, metabolic control and energy and insulin intake, when caring for patients with T1DM. Copyright © 2016 John Wiley & Sons, Ltd.

Risk Factors for Cardiovascular Disease in Type 1 Diabetes

Risk factors for cardiovascular disease (CVD) are well-established in type 2 but not type 1 diabetes (T1DM). We assessed risk factors in the long-term (mean 27 years) follow-up of the Diabetes Control and Complications Trial (DCCT) cohort with T1DM. Cox proportional hazards multivariate models assessed the association of traditional and novel risk factors, including HbA1c, with major atherosclerotic cardiovascular events (MACE) (fatal or nonfatal myocardial infarction [MI] or stroke) and any-CVD (MACE plus confirmed angina, silent MI, revascularization, or congestive heart failure). Age and mean HbA1c were strongly associated with any-CVD and with MACE. For each percentage point increase in mean HbA1c, the risk for any-CVD and for MACE increased by 31 and 42%, respectively. CVD and MACE were associated with seven other conventional factors, such as blood pressure, lipids, and lack of ACE inhibitor use, but not with sex. The areas under the receiver operating characteristics curves for the association of age and HbA1c, taken together with any-CVD and for MACE, were 0.70 and 0.77, respectively, and for the final models, including all significant risk factors, were 0.75 and 0.82. Although many conventional CVD risk factors apply in T1DM, hyperglycemia is an important risk factor second only to age.

Obesity and glycemic control in patients with diabetes mellitus: Analysis of physician electronic health records in the US from 2009-2011

AIMS

Examine the association between obesity and glycemic control among patients with type 1 (T1DM) or type 2 diabetes mellitus (T2DM).

METHODS

Data from US physician electronic health records (Humedica®) from 2009-2011 were utilized. Patients were defined as having above-target glycemic control if they had an HbA1c ≥7% at any time during the study period. Multinomial logistic regressions were conducted separately for T1DM and T2DM patients, and examined associations between BMI categories and probability of having above-target glycemic control (≥7% and <8%, ≥8% and <9%, or ≥9%) while controlling for patient demographics, general health, comorbid conditions, and antihyperglycemic medication use.

RESULTS

There were 14,028 T1DM and 248,567 T2DM patients; 47.8% of T1DM and 63.4% of T2DM were obese (BMI ≥30kg/m(2)). For T1DM, being overweight (BMI 25-<30), obese class I (30-<35), II (35-<40), or III (≥40) was associated with a significantly higher probability of having HbA1c≥8% and <9% or ≥9%, while being overweight was associated with a significantly higher probability of having HbA1c ≥7% and <8% compared to normal BMI (BMI≥18.5 and<25). For T2DM patients, being overweight, obese class I, II, or III was associated with a significantly higher probability of having HbA1c ≥7% and <8%, ≥8% and <9%, or ≥9%.

CONCLUSIONS

For both T1DM and T2DM patients, there were positive and statistically significant associations between being overweight or obese and having suboptimal glycemic control. These findings quantify the associations between obesity and glycemic control, and highlight the potential importance of individual characteristics on glycemic control.

Growth attainments of Indian children with type 1 diabetes: a mixed longitudinal study

OBJECTIVE

To evaluate distance and velocity growth of children with Type 1 Diabetes (T1D) and quantify the magnitude of gender differences in anthropometric parameters.

METHODS

Children with T1D, without any coexisting condition that could affect growth were measured at half yearly intervals for body weight, height, occipito-frontal circumference (OFC), chest circumference (CC), mid upper arm circumference (MUAC), triceps skinfold thickness (TSFT), biceps skinfold thickness (BSFT) and subscapular skinfold thickness (SSSFT) using standardized techniques. Comparison of these growth parameters was made between the 2 genders as well as with the published norms.

RESULTS

Of the 115 children studied, there were no significant gender differences in weight at different age points. Boys measured taller than girls but the gender differences in height were significant only at 7 and 10 y. There was a tendency of higher BMIs in girls. In comparison to WHO standards and normal Indian children, boys had lower weight initially but became heavier later. The girls showed close similarity to their normal Indian counterparts but remained lighter than their WHO counterparts. After the initial lower height, an acceleratory trend was noted in boys but girls remained shorter throughout the study as compared to WHO peers. Boys, in general had higher CC, OFC, MUAC and MUAMC. The skinfold thicknesses recorded inconsistent growth patterns in both sexes. Growth velocities for various body parameters except skinfold thicknesses were similar in boys and girls.

CONCLUSIONS

Initial weight and height loss followed by catch up growth was noted in boys. The values of MUAC, MUAMC and skinfold thicknesses as compared to data from developed countries, were lower in present patients.

Association of pre-pregnancy BMI and postpartum weight retention with postpartum HbA1c among women with Type 1 diabetes

AIM

To examine the association of pre-pregnancy BMI and postpartum weight retention with postpartum HbA(1c) levels in women with Type 1 diabetes.

METHODS

We longitudinally evaluated 136 women with Type 1 diabetes who received prenatal, pregnancy, and postpartum care through Joslin Diabetes Center's Diabetes and Pregnancy Program between 2004 and 2009. Weight, BMI and HbA(1c) concentrations were assessed before the index pregnancy and repeatedly monitored after delivery until 12 months postpartum. We used linear mixed models to assess the association of postpartum HbA(1c) with pre-pregnancy BMI and postpartum weight retention.

RESULTS

The mean HbA(1c) concentration increased from 49 mmol/mol (6.6%) at 6 weeks postpartum to 58 mmol/mol (7.5%) by 10 months postpartum, a level similar to the mean pre-pregnancy HbA(1c) concentration. Postpartum weight retention showed a linearly decreasing trend of 0.06 kg/week (P < 0.0001), with -0.1 kg average postpartum weight retention by 1 year postpartum. Compared with women with a pre-pregnancy BMI ≥ 25 kg/m², women with a lower pre-pregnancy BMI maintained a 3.4 mmol/mol (0.31%) lower HbA(1c) concentration, after adjusting for several sociodemographic, reproductive and diabetes-related factors (P = 0.03). There was a suggestion of a time-varying positive association between HbA1c and postpartum weight retention, with the most significant difference of 3.7 mmol/mol (0.34%; P = 0.05) at 30 weeks postpartum among women with postpartum weight retention ≥ 5 kg vs those with postpartum weight retention < 5 kg.

CONCLUSIONS

Pre-pregnancy BMI and postpartum weight retention were positively associated with HbA(1c) during the first postpartum year in women with Type 1 diabetes. Interventions to modify the behaviours associated with these body weight factors before pregnancy and after delivery may help women with Type 1 diabetes maintain good glycaemic control after pregnancy.

Prevalence of overweight, obesity and metabolic syndrome components in children, adolescents and young adults with type 1 diabetes mellitus

BACKGROUND

We aimed to determine the prevalence of overweight and obesity among children, adolescents and young adults with type 1 diabetes mellitus (T1DM), and to assess the prevalence of the metabolic syndrome and its components.

METHODS

The study cohort comprised 326 (168 women) consecutive patients aged 5 to 30 years diagnosed with T1DM and followed up in the Juvenile Diabetes Clinic, Maccabi Health Care Services. Anthropometric measurements, blood pressure, presence of additional diseases, other medications, HbA1c , triglycerides and high density lipoprotein cholesterol levels were obtained.

RESULTS

The mean age in the study group was 18.5 ± 6.0 years, and the mean diabetes duration was 8.7 ± 5.0 years. Mean HbA1c level was 8.1 ± 1.3%. Nineteen per cent of the study population was overweight (85th > body mass index < 95th percentile) and 5.2% was obese (body mass index ≥ 95th percentile). Female patients aged 15 ≤ 18 and 18 ≤ 25 years were significantly overweight compared with healthy Israeli women in the same age groups, 33.3% versus 12.7% and 26.3% versus 7.8%, respectively, p < 0001. There were no obese female patients in the 15 ≤ 18 age group. Among the men in all age groups, there was no difference in the prevalence of overweight and obesity compared with healthy men in the general population. There was no difference in the age of onset, disease duration, HbA1c levels, treatment with anti-depressants and associated morbidities between the normal weight, overweight and obese groups. Obese patients had lower levels of HDL and increased prevalence of hypertension and metabolic syndrome.

CONCLUSIONS

Overweight but not obesity was more prevalent in women with T1DM. Metabolic syndrome and its components were more prevalent among overweight and obese individuals with T1DM than among normal weight individuals.

Disease associated clinical factors and FTO polymorphism: effect on body mass in children with type 1 diabetes mellitus

BACKGROUND

One of the consequences of excessive weight gain during insulin therapy in type 1 diabetes mellitus (T1DM) is an increased predisposition to cardiovascular diseases (CVD). Not only clinical but also genetic factors may play a role in the pathogenesis of this phenomenon. The aim of this study was to evaluate the prevalence of cardiovascular disease risk factors as well as the fat mass and obesity associated (FTO) gene rs9939609 variant in a large group of children with T1DM of the same ethnic-Polish origin. A total of 1237 children with T1DM and 1015 controls were recruited.

RESULTS

The proportions of patients with obesity, hypertension, and abnormal LDL-cholesterol levels among children with T1DM were significantly higher than those in the non-diabetic. There was a higher rate of overweight, central obesity, and abnormal LDL-cholesterol levels among girls in comparison to that in boys in the group of children with diabetes. Children with inadequate metabolic control were characterized by the presence of more CVD risk factors. Similar differences were observed in children treated with the use of pens versus those using insulin pumps. The FTO gene single nucleotide polymorphism (SNP) correlated with body mass index (BMI) in both control and diabetic children, but the effect was lesser in diabetics. In a regression model the current BMI-SDS value in diabetics was significantly affected by the baseline BMI, disease duration, metabolic control, and subject's sex, but not the FTO genotype.

CONCLUSIONS

Clinical rather than genetic factors have a greater impact on the development of overweight and obesity in insulin-treated children

Increased incorporation of antiplasmin into the fibrin network in patients with type 1 diabetes

OBJECTIVE

Diabetes is associated with various vascular complications and is suggested to induce a prothrombotic state. In the current study, we characterized antiplasmin incorporation into fibrin in relation to other fibrinolytic compounds in patients with type 1 diabetes.

RESEARCH DESIGN AND METHODS

A total of 236 patients with type 1 diabetes and 78 control subjects were investigated. The incorporation of antiplasmin into the fibrin network and the plasma levels of plasminogen activator inhibitor type 1 (PAI-1) activity, tissue plasminogen activator (tPA) activity, tPA/PAI-1 complex, plasmin-antiplasmin complex, antiplasmin, factor XIII, and d-dimer were measured. In addition, we used global assays to study fibrinolysis.

RESULTS

The incorporation of antiplasmin into the fibrin network was significantly higher in patients with type 1 diabetes than in control subjects without diabetes (1.65 ± 0.25 vs. 1.35 ± 0.18 mg/L, respectively; P < 0.0001). The patients also had lower PAI-1 activity (2.19 units/mL [interquartile range 0.96-5.42] vs. 4.25 units/mL [1.95-9.0]; P = 0.0012) and antiplasmin level in plasma (78.5 ± 13.3 vs. 83.2 ± 15.4 mg/L; P < 0.05), resulting in a higher fibrinolytic capacity (shorter clot lysis time; P = 0.0090). We did not find any important sex differences regarding fibrinolysis in the patients or in the control subjects.

CONCLUSIONS

Patients with type 1 diabetes incorporate more antiplasmin into the fibrin network than control subjects without diabetes do and have a reduced PAI-1 activity and a shorter clot lysis time. These results suggest that patients with type 1 diabetes produce a fibrin clot that is more resistant to fibrinolysis, which, however, may be counteracted by an increased fibrinolytic potential in plasma.

Insulin resistance and associated factors in patients with Type 1 Diabetes

OBJECTIVE

To assess the presence of insulin resistance (IR) in patients with type 1 diabetes (T1DM) according to the estimated glucose disposal rate formula (eGDR) and the insulin sensitivity score (ISS) and to estimate the correlation between these two measures and identify the clinical and laboratory markers related to IR.

RESEARCH DESIGN AND METHODS

Cross-sectional study of adults with T1DM (n = 135). The results of the formulas that estimate IR were separated into quartiles and correlated with demographic data, clinical characteristics and laboratory parameters. We analyzed the total and regional adiposity by dual-energy X-ray absorptiometry and skin fold thickness measurements.

RESULTS

Two thirds of the patients were overweight or obese. A moderate correlation was found between eGDR and ISS (r = 0.612). The results of both formulas were positively correlated with BMI (r = -0.373 eGDR and r = -0.721 ISS), thoracic-abdominal fat (r = -0.484 eGDR and r = -0.758 ISS), waist/height ratio (r = -0.537 eGDR and r = -0.779 ISS), subscapular skinfold (mm) (r = -0.356 eGDR and r = -0.569 ISS), total dose insulin IU/lean mass (kg) (r = -0.279 eGDR and r = -0.398 ISS), age (years) (r = -0.495 eGDR and r = -0.190 ISS) and diabetes duration (years) (r = -0.428 eGDR and r = -0.187 ISS). A moderate agreement (Kappa 0.226) was observed between the 1st quartile of results determined by the formulas in 10.4% of the patients, but the 4th quartile presented a strong correlation (Kappa 0.679). The individuals with IR that were classified in the 1st quartile by the ISS formula had a higher chance of presenting with acanthosis nigricans (OR = 5.58, 95% CI =1.46-21.3).

CONCLUSIONS

The correlations found in this study indicate the possibility of using clinical and laboratory data to estimate IR in patients with TDM1. The detection of IR in T1DM patients may allow early intervention and possibly impact on future diabetes complications.

Cross-sectional and longitudinal relationships of body mass index with glycemic control in children and adolescents with type 1 diabetes mellitus

AIMS

Weight gain is an oft-cited outcome of improved glycemic control in adults with type 1 diabetes, though few studies have investigated this in youth. The purpose of this paper was to examine cross-sectional and longitudinal associations of body mass index (BMI, kg/m(2)) with glycemic control in youth with type 1 diabetes (n=340, 12.5 ± 1.7 year, 49% female, duration ≥ 1 year) participating in a 2-year multi-center intervention study targeting family diabetes management.

METHODS

BMI was calculated from height and weight measured at clinic visits. Glycohemoglobin (HbA1c) at each visit was assayed centrally. Cross-sectional associations of baseline BMI with glycemic control, and of change in BMI and HbA1c with baseline values, were examined. Longitudinal associations of time-varying BMI and HbA1c were examined using a multilevel linear mixed effects model controlling for time-varying time (months), insulin dose (units/kg/day), regimen, Tanner stage, and time invariant baseline diabetes duration, BMI, treatment group and sociodemographic characteristics.

RESULTS

Baseline HbA1c was unrelated to baseline BMI, but was related positively to subsequent BMI change (p=0.04) and inversely to HbA1c change (p=0.002). Baseline BMI was inversely related to BMI change (p=0.01) and unrelated to HbA1c change. In multilevel regression, BMI was related inversely to HbA1c (%) (β ± SE=-0.11 ± 0.02, p<0.001) and positively to insulin dose (0.23 ± 0.07, p=0.001). In the treatment group only, BMI was positively related to pump regimen (0.18 ± 0.08, p=0.02).

CONCLUSIONS

Increased insulin administered to improve glycemic control may contribute to increased BMI in youth with type 1 diabetes, indicating the importance of determining ways to minimize weight gain while optimizing glycemic control.

Relação entre o perfil antropométrico e bioquímico em crianças e adolescentes com diabetes melito tipo 1

OBJETIVO: Avaliar a relação entre o perfil antropométrico e bioquímico de crianças e adolescentes com diabetes melito tipo 1 (DM1). MÉTODOS: Estudo transversal com 11 crianças e 43 adolescentes com DM1. Coletaram-se dados socioeconômicos e demográficos (idade, sexo, escolaridade, renda), clínicos (insulinoterapia), antropométricos (peso, estatura, dobras cutâneas, circunferência da cintura - CC) e bioquímicos (hemoglobina glicada - HbA, glicemias casual - GLC, pós-prandial - GLPP, e perfil lipídico). Foram utilizados o teste t de Student (p<0,05) e a correlação de Pearson (p<0,05). RESULTADOS: A renda média per capita foi de 0,58±0,39 salário-mínimo e predominou o esquema de três aplicações de insulina/dia em 72,2% da amostra. A maioria apresentou estatura (92,6%) e IMC (87%) adequados para a idade. Aqueles com índice da HbA (inHbA) adequado apresentaram menores GLC (p=0,002) e GLPP (p<0,001). O inHbA correlacionou-se positivamente com CC (p=0,013), GLC (p=0,014), GLPP (p<0,001), TG e VLDL (p<0,001). CONCLUSÕES: O pior controle glicêmico relaciona-se a maiores níveis de lipídeos séricos e CC mais elevada.

Overweight, obesity and features of metabolic syndrome in children with diabetes treated with insulin pump therapy

There has been no specific evaluation of atherogenic risk factors in children with type 1 diabetes mellitus (T1DM) treated with continuous subcutaneous insulin infusion (CSII). We, therefore, studied the prevalence of overweight/obesity and metabolic syndrome among these patients. Five hundred children with T1DM treated with CSII and multiple daily insulin (MDI) regimen were included in the study. Anthropometric data/physical examination, data concerning diabetes, and a lipid profile were assessed in this group, and compared with respect to treatment method (CSII vs. MDI). Almost one-third (30.2%) of the children were overweight/obese. The body mass index (BMI) values at the time of the present evaluation were significantly higher in comparison with the BMI values 3-6 months after the diagnosis. Dyslipidemia was recognized in 51.6%, hypertension in 4.8%, and the metabolic syndrome in 3.2%. of the subjects. The overweight/obese children differed from their normal-weight counterparts with respect to metabolic control, the incidence of hypertension, dyslipidemia, and metabolic syndrome. The girls showed higher prevalence of overweight/obesity and higher BMI values compared to the boys. The children treated with CSII had the same prevalence of overweight/obesity, but a lower incidence of dyslipidemia, and a better metabolic control compared to the children treated with MDI regimen. Our study shows a high prevalence of overweight/obesity and dyslipidemia in children with T1DM including those treated with an insulin pump.

Temporal patterns in overweight and obesity in Type 1 diabetes

AIMS

Time trends in overweight and obesity in the general population have been well documented; however, temporal patterns in Type 1 diabetes (T1DM) have not been thoroughly investigated. We therefore assessed temporal patterns in overweight and obesity and predictors of weight change in 589 individuals from the Pittsburgh Epidemiology of Diabetes Complications Study, a cohort of childhood-onset T1DM.

METHODS

Participants were first seen in 1986-1988, when mean age and diabetes duration were 29 and 20 years, respectively, and biennially thereafter for 18 years. Overweight was defined as 25.0or=30.0 kg/m2.

RESULTS

At baseline, the prevalence of overweight and obesity were 28.6% and 3.4%, respectively. After 18 years' follow-up, the prevalence of overweight increased by 47% while the prevalence of obesity increased sevenfold. Seven per cent were on intensive insulin therapy (>or=3 insulin injections per day or on insulin pump) at baseline; by 2004-2007, this was 82%. Predictors of weight change were a higher baseline HbA1c, symptomatic autonomic neuropathy (inversely), overt nephropathy (inversely), and going onto intensive insulin therapy during follow-up.

CONCLUSIONS

These data demonstrate dramatic weight gain in T1DM and underscore the complexity of weight change in this disease.

Lifestyle risk factors for atherosclerosis in adults with type 1 diabetes

The objective of this study was to compare the amount of self-reported physical activity, alcohol and tobacco use in a large sample of adults with type 1 diabetes and non-diabetic subjects. A second aim is to test the hypothesis that these lifestyle risk factors are associated cross-sectionally with coronary artery calcification. In 2000-2002, the Coronary Artery Calcification in Type 1 Diabetes (CACTI) study applied validated questionnaires for smoking, alcohol and physical activity to 582 type 1 diabetes subjects and 724 non-diabetic subjects. More type 1 diabetes subjects reported current smoking than non-diabetic subjects (12.3% versus 8.6%, p=0.027). Overall, reported physical activity did not differ by diabetes status (p=0.79). More type 1 diabetes subjects reported never having consumed alcohol (10% versus 4%, p<0.0001) and those who drank consumed less alcohol (p=0.0015) than non-diabetic subjects. Physical activity and smoking were significantly associated with the presence of coronary artery calcification (adjusted OR=0.9, 95% CI: 0.8-0.996, p=0.045, and OR=1.7, CI: 1.1-2.6, p=0.03, respectively). Type 1 diabetes was independently associated with increased odds of coronary artery calcification (OR=3.5, 95% CI: 2.5-5.0, p<0.0001). Differences exist in lifestyle-related cardiovascular risk factors in men and women with type 1 diabetes compared with non-diabetic subjects in the CACTI study.

Adiposity and mortality in type 1 diabetes

BACKGROUND

In the general population, adiposity exhibits a J- or U-shaped relationship with mortality; however, in catabolic states this relationship is often inversely linear. We have recently documented an age-independent increase in overweight/obesity in the Pittsburgh Epidemiology of Diabetes Complications Study (EDC) of type 1 diabetes (T1D). As intensified insulin therapy (IIT) may promote weight gain, the impact of weight gain in T1D is of importance. We therefore assessed the association of adiposity with mortality in 655 EDC participants during 20 years of follow-up.

METHODS

Individuals were categorized as underweight (body mass index (BMI)<20), normal (20< or = BMI <25), overweight (25< or = BMI <30), or obese (BMI > or =30). Cox models were constructed using BMI and covariates at baseline, updated means during follow-up, time variation (reflecting most recent status), and change during adulthood as predictors of mortality.

RESULTS

The prevalence of IIT (3+ insulin shots daily and/or pump) increased from 7 to 82%. Overweight increased by 47% and obesity increased sevenfold. There were 146 deaths. In unadjusted models, BMI (modeled continuously) showed a quadratic relationship with mortality (P=0.002, <0.0001 <0.0001 for baseline, updated mean and time-varying models, respectively). However, only in the time-varying model were the obese significantly different from the normal weight, whereas the baseline model showed no differences by BMI category. In both the updated mean and time-varying models, the underweight were at greater risk than were the normal weight (P<0.0001 both models). The nonlinear relationship of adiposity with mortality remained after adjustment for diabetes complications and for biological or socioeconomic/lifestyle risk factors, with the exception of baseline socioeconomic/lifestyle risk factors, in which a linear association emerged. Adjustment for waist circumference eliminated risk in the obese. Finally, weight gain during follow-up was protective.

CONCLUSION

The relationship of adiposity with mortality in T1D now seems to resemble that of the general population, albeit with a marked increased risk in those who are underweight.

Association between body mass index and core components of metabolic syndrome in 1486 patients with type 1 diabetes mellitus in Japan (JDDM 13)

There is no recent study on the prevalence of overweight and obesity in patients with type 1 diabetes mellitus (T1DM) in Japan. Being overweight has a significant effect on the metabolic condition and glycemic control of such patients. In the present cross-sectional study, we investigated the effects of body mass index (BMI) on lipid profile, blood pressure, and glycemic control in patients with T1DM. In total, 1486 patients with T1DM (including 401 patients with early onset T1DM who were <20 years of age at diagnosis) were included. Patients were divided into four groups according to their BMI, and glycosylated hemoglobin (HbA1c), daily insulin dose per kg body weight, lipid profile, and blood pressure were compared between groups. We found that 15.7% of all patients were overweight (BMI >or= 25.0 kg/m(2)) and 2.0% were obese (BMI >or= 30.0 kg/m(2)), compared with 17.5% and 2.0%, respectively, in the early onset T1DM subgroup. Significant changes in lipid profiles and blood pressure were found with increasing BMI in both the entire population and the early onset T1DM subgroup. In the entire study population HbA1c and the body weight-adjusted daily insulin dose were significantly higher in patients with a BMI >or= 23 kg/m(2) compared with those with a BMI<23 kg/m(2); however, this was not the case in the early onset T1DM subgroup. This difference may be due to the relatively small number of patients in that subgroup. In conclusion, the prevalence of overweight and obesity in patients with T1DM was less than that in the normal Japanese population. For patients with T1DM, being overweight was associated with higher blood pressure and dyslipidemia. Furthermore, we cannot exclude an association between being overweight and the need for higher daily doses of insulin.

The metabolic syndrome in type 1 diabetes: does it exist and does it matter?

The significance of the metabolic syndrome in type 1 diabetes is not well understood. This study aimed to estimate its prevalence and attendant complications. Four hundred twenty-seven type 1 diabetic subjects were grouped according to the presence or absence of metabolic syndrome (WHO criteria). Macro- and microvascular complications were compared between the groups as individual and as composite endpoints. Data were analyzed for the total cohort and in subgroups according to duration of diabetes quartiles (<6.9, 7-12.9, 13-19.9, and >20 years) and year of presentation. Fifteen percent of individuals fulfilled the WHO criteria for metabolic syndrome, and of these, 26.9% were insulin resistant, as compared with 3.4% of those without metabolic syndrome [odds ratio (OR)=8.9, P=.001]. Both BMI and metabolic syndrome showed an increasing trend from 1992 to 2003. Those with metabolic syndrome required significantly higher insulin dosage [0.9 (0.7-1.2) vs. 0.6 (0.5-0.9) units/kg, P=.03], were older [35.0 (26.2-47.3) vs. 29.7 (23.4-36.4) years, P=.002], and had longer duration of diabetes [19.7 (10.7-25.6) vs. 12.1 (6.3-17.9) years, P=.0001]. They also had a significantly higher macrovascular composite endpoint (OR=3.3, P=.02) as well as higher macrovascular and microvascular composite endpoint (OR=3.1, P=.0001). The prevalence of stroke (OR=22.8, P=.008), peripheral vascular disease (OR=7.3, P=.05), and severe retinopathy (OR=3.7, P=.01) is higher in subjects with metabolic syndrome in the >or=20-year quartile group; in addition, these subjects have higher macrovascular composite endpoint (OR=3.9, P=.03) and macrovascular and microvascular composite endpoint (OR=2.9, P=.03). This remained so even when subjects with albuminuria were excluded. Some individuals with type 1 diabetes can also have metabolic syndrome. They are more prone to complications and require even more intensive glycemic control and reduction of macrovascular risk factors.

Changes in glycaemic control and risk of coronary artery disease in type 1 diabetes mellitus: findings from the Pittsburgh Epidemiology of Diabetes Complications Study (EDC)

AIMS/HYPOTHESIS

To complete a comparative analysis of studies that have examined the relationship between glycaemia and cardiovascular disease (CVD)/coronary artery disease (CAD) and perform a prospective analysis of the effect of change in glycosylated Hb level on CAD risk in the Pittsburgh Epidemiology of Diabetes Complications Study (EDC) of childhood-onset type 1 diabetes mellitus (n = 469) over 16 years of two yearly follow-up.

METHODS

Measured values for HbA(1) and HbA(1c) from the EDC were converted to the DCCT-standard HbA(1c) for change analyses and the change in HbA(1c) was calculated (final HbA(1c) minus baseline HbA(1c)). CAD was defined as EDC-diagnosed angina, myocardial infarction, ischaemia, revascularisation or fatal CAD after medical record review.

RESULTS

The comparative analysis suggested that glycaemia may have a stronger effect on CAD in patients without, than in those with, albuminuria. In EDC, the change in HbA(1c) differed significantly between CAD cases (+0.62 +/- 1.8%) and non-cases (-0.09 +/- 1.9%) and was an independent predictor of CAD.

CONCLUSIONS/INTERPRETATION

Discrepant study results regarding the relationship of glycaemia with CVD/CAD may, in part, be related to the prevalence of renal disease. Measures of HbA(1c) change over time show a stronger association with CAD than baseline values.

Intensive diabetes therapy and body weight: focus on insulin detemir

Weight gain can be a significant barrier to the treatment of diabetes. Insulin detemir is a basal insulin analog that can help patients move safely toward glycemic targets with less weight gain. This review discusses the potential adverse effects of, and hypothesis for, weight gain resulting from intensive insulin management of diabetes. In addition, an assessment of all weight change data from clinical trials and observational studies involving insulin detemir are presented. Finally, we discuss how the ability of insulin detemir to closely mimic endogenous insulin secretion leads to more predictable glycemic control with reduced weight gain and provides patients with a more acceptable method of achieving glycemic control.

Insulin resistance, the metabolic syndrome, and complication risk in type 1 diabetes: "double diabetes" in the Diabetes Control and Complications Trial

OBJECTIVE

The presence of insulin resistance and the metabolic syndrome are known risk markers for macrovascular disease in patients with and without type 2 diabetes. This study has examined whether these also were predictors of micro- and macrovascular complications in type 1 diabetic patients participating in the Diabetes Control and Complications Trial (DCCT).

RESEARCH DESIGN AND METHODS

International Diabetes Federation (IDF) criteria were used to identify the metabolic syndrome in 1,337 Caucasian DCCT patients at baseline. Insulin resistance was calculated using their estimated glucose disposal rate (eGDR). Insulin dose (units/kg) was also used as a separate marker of insulin resistance.

RESULTS

The eGDR (but not insulin dose or metabolic syndrome) at baseline strongly predicted the development of retinopathy, nephropathy, and cardiovascular disease (hazard ratios 0.75, 0.88, and 0.70, respectively, per mg x kg(-1) x min(-1) change; P < 0.001, P = 0.005, and P = 0.002, respectively). Through mainly weight gain, the prevalence of the metabolic syndrome increased steadily from baseline to year 9 in conventionally treated (from 15.5 to 27.2%) and especially in the intensively treated (from 13.7 to 45.4%) patients.

CONCLUSIONS

Higher insulin resistance at baseline in the DCCT (as estimated by eGDR) was associated with increased subsequent risk of both micro- and macrovascular complications. Insulin dose and the presence of IDF-defined metabolic syndrome were poor predictors by comparison. Although intensive treatment was associated with a higher subsequent prevalence of metabolic syndrome, the benefits of improved glycemia appear to outweigh the risks related to development of the metabolic syndrome.

Glycemic and risk factor control in type 1 diabetes: results from 13,612 patients in a national diabetes register

OBJECTIVE

This study was designed to investigate the clinical characteristics of a large type 1 diabetic population and to evaluate the degree of fulfillment of recently updated treatment goals.

RESEARCH DESIGN AND METHODS

The Swedish National Diabetes Register was initiated in 1996 as a tool for quality assurance in diabetes care. A1C levels, treatment, and risk factors were analyzed in two cross-sectional samples of 9,424 patients in 1997 and 13,612 patients in 2004 and in a smaller longitudinal sample from 1997 to 2004.

RESULTS

Mean A1C decreased from 8.2 +/- 1.3% in 1997 to 8.0 +/- 1.2% in 2004 (P < 0.001). The proportion of patients reaching A1C <7.0% increased from 17.4 to 21.2% in 2004. A slow but significant improvement in blood pressure levels was seen, but only 61.3% reached the blood pressure goal of <130/80 mmHg in 2004. Lipid control improved, and the use of lipid-lowering drugs increased. Among patients treated with lipid-lowering agents, 38% reached the goal of total cholesterol <4.5 mmol/l, and 48% reached the goal of LDL cholesterol <2.5 mmol/l. Successful long-term glycemic and blood pressure control were both independently predicted by low BMI and the absence of microalbuminuria in 1997.

CONCLUSIONS

In this large cohort of type 1 diabetic patients, there was a slow improvement in glycemic and risk factor control from 1997 to 2004, although the gap between the clinical results and current Swedish and American treatment goals is still unsatisfactory. It is crucial that additional measures be taken to improve risk factor control in type 1 diabetic patients.

Weight gain is associated with improved glycaemic control but with adverse changes in plasma lipids and blood pressure isn Type 1 diabetes

AIMS

To assess the effects of weight gain on metabolic control, plasma lipids and blood pressure in patients with Type 1 diabetes.

METHODS

Patients in the EURODIAB Prospective Complications Study (n = 3250) were examined at baseline and 1800 (55%) were re-examined a mean of 7.3 years later. Patients had Type 1 diabetes, defined as a diagnosis made before age 36 years and with a need for continuous insulin therapy within a year of diagnosis. Patients were aged 15-60 years at baseline and were stratified for age, sex and duration of diabetes.

RESULTS

The change in HbA(1c) from baseline to follow-up examination was significantly more favourable in those who gained 5 kg or more during follow-up ('marked weight gain') than in patients who gained less or no weight or lost weight ('less or no weight gain'). In those with marked weight gain, there was a significantly greater rise in plasma triglycerides and total cholesterol and significantly less favourable changes in low-density lipoprotein and high-density lipoprotein cholesterol compared with those with less or no weight gain, with or without adjustment for HbA(1c). Systolic and diastolic blood pressure also rose significantly more in the group with marked weight gain.

CONCLUSION

Weight gain in patients with Type 1 diabetes has adverse effects on plasma lipids and blood pressure, despite a small improvement in glycaemic control.

Avaliação de dislipidemia e de índices antropométricos em pacientes com Diabetes Mellitus tipo 1

A intensificação do tratamento insulínico no Diabetes Mellitus tipo 1 (DM1) tem resultado na melhora do seu controle clínico e metabólico, entretanto com aumento da prevalência de sobrepeso e obesidade, o que contribuiria para um maior risco cardiovascular. O objetivo deste estudo foi avaliar os fatores demográficos, clínicos e laboratoriais associados à presença de dislipidemia em uma população de pacientes com DM1 comparada a uma população não diabética. Estudamos 72 pacientes com DM1, sendo 52,8% do sexo feminino, com idade de 22,7 ± 9,6 anos e índice de massa corporal (IMC) de 21,1 ± 3,1Kg/m², e 66 pacientes não diabéticos, sendo 60,6% do sexo feminino, com idade de 23,1 ± 10,9 anos e IMC de 22,1 ± 3,7Kg/m². A amostra incluía 13 crianças, sendo 6 com DM1, 47 adolescentes, sendo 23 com DM1, e 78 adultos, sendo 43 com DM1. Observamos na população adulta de pacientes com DM1 menor apoB (p< 0,01), maior índice apoA/apoB (p< 0,01) e menor sobrepeso (p= 0,04) em relação à população não diabética, não sendo encontrada diferença no perfil lipídico entre essas populações. As crianças e adolescentes diabéticas apresentaram maior prevalência de colesterol total alterado (p= 0,02 e p< 0,01, respectivamente) e LDL-colesterol alterado (p= 0,02 e p= 0,01, respectivamente) em comparação às crianças e adolescentes não DM. Concluímos que os métodos usualmente utilizados na rotina de atendimento ambulatorial de pacientes com DM1 não são capazes de identificar as alterações lipídicas que poderiam ser indicativas do maior risco cardiovascular nestes pacientes, principalmente no que diz respeito à população adulta.

Sexual dysfunction in women with diabetes mellitus

Sexual problems in men with diabetes mellitus are common and often result from diabetic complications. However, although diabetic complications are similar in both sexes, little attention has been given to the effects of diabetes on female sexuality and sexual function. It is reasonable to suggest that women with diabetes will experience sexual problems due to neuropathy, endocrine changes and vascular complications. However there is little research into the physical effects of diabetes on female sexual function. Reduced vaginal lubrication in women with diabetes has been reported yet this is rarely documented as a sexual problem. Previous studies in women with diabetes may also neglect the importance of the subjective qualities associated with female sexuality and sexual expression.

Impact of overweight on chronic microvascular complications in type 1 diabetic patients

OBJECTIVE

To investigate a possible association of BMI with retinopathy and neuropathy in type 1 diabetes. Retinopathy and neuropathy may not only be related to glycemic control and diabetes duration but also to blood pressure and BMI.

RESEARCH DESIGN AND METHODS

A total of 592 type 1 diabetic patients without nephropathy were studied (M/F: 324/268; age: 41 +/- 12 years; duration: 19 +/- 11 years; HbA(1c) [A1C]: 7.9 +/- 1.1%). Patients were subdivided according to BMI: 168 men and 146 women with BMI <25 kg/m(2), and 156 men and 122 women with BMI > or =25 kg/m(2). Retinopathy was examined by fundoscopy and neuropathy by electromyography.

RESULTS

Hypertension (>130/85 mmHg) was present in 40%, retinopathy in 53%, and neuropathy in 43% of patients. Overweight subjects had more retinopathy (63 vs. 45%, P < 0.0001, odds ratio [OR] = 2.1) and neuropathy (49 vs. 38%, P = 0.008, OR = 1.6) than normal-weight patients. Patients with retinopathy were older (45 +/- 12 vs. 37 +/- 11 years, P < 0.0001) and had a longer diabetes duration (25 +/- 10 vs. 12 +/- 8 years, P < 0.0001), a higher A1C (8.0 +/- 1.1 vs. 7.7 +/- 1.1%, P = 0.001), and a higher BMI (25.8 +/- 4.1 vs. 24.7 +/- 4.2 kg/m(2), P = 0.001) than individuals without retinopathy. The same results are found in neuropathy. Logistic regression analysis showed that diabetes duration (beta = 0.15, P < 0.0001), blood pressure (beta = 0.22, P = 0.0047), and A1C (beta = 0.24, P = 0.01), but not BMI, lipid levels, sex, or age, were independent risk factors for retinopathy. Likewise, duration (beta = 0.05, P < 0.0001), age (beta = 0.04, P = 0.0001), A1C (beta = 0.35, P < 0.0001), and sex (beta = 0.74, P = 0.0001) but not BMI, lipid levels, or hypertension were independently associated with neuropathy. Men had more neuropathy than women (50 vs. 34%, P < 0.0001, OR = 1.9). Leptin and adiponectin levels did not differ between individuals with or without microvascular complications.

CONCLUSIONS

Retinopathy and neuropathy are more prevalent in overweight (BMI > or =25 kg/m(2)) type 1 diabetic subjects. However, logistic regression analysis showed that diabetes duration and A1C remain the main determinants for retinopathy and neuropathy.

Improved diabetes control by using 'close adjustment algorithms'

BACKGROUND

Intensive insulin therapy increases the frequency of severe hypoglycemia despite markedly improved glycemic control in patients with type 1 diabetes mellitus. To determine the optimal dose of insulin, the authors designed algorithms based on self-monitored blood glucose levels.

METHODS

Each dose of insulin was composed of two components: a basal dose determined on the basis of blood glucose levels over the previous two days and an additional dose determined on the basis of blood glucose level just before insulin injection. The patients were instructed to adjust each dose according to the algorithms. The authors investigated the effects of using algorithms on glycemic control, anthropometric data, body composition, and lipid profile in seven females with type 1 diabetes 12-20 years old.

RESULTS

After 3 months, the daily dose of insulin increased significantly from 0.93 +/- 0.18 to 1.16 +/- 0.26 units/kg of body weight, and haemoglobin A(1C) decreased significantly from 8.27 +/- 1.33 to 6.50 +/- 0.64%. Severe hypoglycemia, however, did not occur. Body mass index increased significantly from 21.7 +/- 2.7 to 22.7 +/- 2.9 kg/m(2) with no increase in the percentage of body fat. All lipid-profile data showed a decreasing trend.

CONCLUSIONS

Algorithms developed on the basis of self-monitored blood glucose levels are useful in determining the optimal dose of insulin and can improve glycemic control and lipid metabolism.

Risk factors for coronary heart disease in type 1 diabetic patients in Europe: the EURODIAB Prospective Complications Study

OBJECTIVE

The goal of the study was to examine risk factors in the prediction of coronary heart disease (CHD) and differences in men and women in the EURODIAB Prospective Complications Study.

RESEARCH DESIGN AND METHODS

Baseline risk factors and CHD at follow-up were assessed in 2,329 type 1 diabetic patients without prior CHD. CHD was defined as physician-diagnosed myocardial infarction, angina pectoris, coronary artery bypass graft surgery, and/or Minnesota-coded ischemic electrocardiograms or fatal CHD.

RESULTS

There were 151 patients who developed CHD, and the 7-year incidence rate was 8.0 (per 1,000 person-years) in men and 10.2 in women. After adjustment for age and/or duration of diabetes, the following risk factors were related to CHD in men: age, GHb, waist-to-hip ratio (WHR), HDL cholesterol, smoking, albumin excretion rate (AER), and autonomic neuropathy. The following risk factors were related to CHD in women: age, systolic blood pressure (BP), fasting triglycerides, AER, and retinopathy. Multivariate standardized Cox proportional hazards models showed that age (hazard ratio 1.5), AER (1.3 in men and 1.6 in women), WHR (1.3 in men), smoking (1.5 in men), fasting triglycerides (1.3 in women) or HDL cholesterol (0.74 in women), and systolic BP (1.3 in women) were predictors of CHD.

CONCLUSIONS

This study supports the evidence for a strong predictive role of baseline albuminuria in the pathogenesis of CHD in type 1 diabetes. Furthermore, sex-specific risk factors such as systolic BP, fasting triglycerides (or HDL cholesterol), and WHR were found to be important in the development of CHD.

Effect of thiazolidinediones on body weight in patients with diabetes mellitus

Treatment of diabetes mellitus with medications, including insulin, sulfonylureas, and thiazolidinediones (TZDs), often leads to weight gain through a variety of mechanisms. Weight gain can have adverse consequences for patients with type 2 diabetes, many of whom are overweight or obese, because obesity is linked to insulin resistance and other medical consequences such as cardiovascular disease. TZDs improve glycemic control and insulin sensitivity in patients with type 2 diabetes, despite their potential to cause weight gain. Studies have attempted to elucidate the mechanisms behind the apparent paradox of TZDs improving insulin sensitivity while causing weight gain. Data indicate that with TZD treatment, there is a favorable shift in fat distribution from visceral to subcutaneous adipose depots that is associated with improvements in hepatic and peripheral tissue sensitivity to insulin. Although weight gain may occur with TZD therapy, it is not inevitable. A weight-management program combining a low-calorie, low-sodium diet with education and behavior modification has been shown to be effective in patients with type 2 diabetes being treated with TZDs. Further research is needed to define the optimal dietary modifications that can be used universally in TZD-treated patients to minimize weight gain while effectively treating insulin resistance and hyperglycemia.