Abdominal adiposity and cardiovascular risk factors in adolescents with type 1 diabetes

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.

Dual-basal-insulin regimen for the management of dawn phenomenon in children with type 1 diabetes: a retrospective cohort study

Background

Handling of the dawn phenomenon (DP) with multiple daily insulin injection (MDII) regimen is a real challenge.

Objective

We aimed to demonstrate the effectiveness of a dual-basal-insulin (a long-acting glargine and an intermediate-acting neutral protamine Hagedorn (NPH)) regimen for the management of DP in children with type 1 diabetes mellitus (T1DM). The primary efficacy outcome was to overcome morning hyperglycemia without causing hypoglycemia during the non-DP period of the night.

Design

Retrospective cohort study.

Method

Charts of 28 children with T1DM (12 female; 42.8%, mean age 13.7 ± 2.1 years) treated with MDII were retrospectively reviewed. The median duration of diabetes was 4.5 years (range 2-13.5 years). DP was diagnosed using a threshold difference of 20 mg/dL (0.1 mmol/L) between fasting capillary blood glucose at 3 a.m. and prebreakfast. NPH was administered at midnight in addition to daily bedtime (08.00-09.00 p.m.) glargine (dual-basal-insulin regimen). Midnight, 03:00 a.m., prebreakfast and postprandial capillary blood glucose readings, insulin-carbohydrate ratios, and basal-bolus insulin doses were recorded the day before the dual-basal-insulin regimen was started and the day after the titration of the insulin doses was complete. Body mass index standard deviation scores (BMI SDS) at the onset-3rd-12th month of treatment were noted.

Results

Before using dual basal insulin, prebreakfast capillary blood glucose levels were greater than those at midnight and at 03:00 a.m. (F = 64.985, p < 0.01). After titration of the dual-basal-insulin doses, there were significant improvements such that there were no statistically significant differences in the capillary blood glucose measurements at the three crucial time points (midnight, 03.00 a.m., and prebreakfast; F = 1.827, p = 0.172). No instances of hypoglycemia were reported, and the total daily insulin per kilogram of body weight did not change. The BMI SDS remained steady over the course of the 1-year follow-up.

Conclusion

In this retrospective cohort study, the dual-basal-insulin regimen, using a long-acting glargine and an intermediate-acting NPH, was effective in overcoming early morning hyperglycemia due to insulin resistance in the DP. However, the effectiveness of the dual-basal-insulin regimen needs to be verified by prospective controlled studies using continuous glucose monitoring metrics or frequent blood glucose monitoring.

The Burden of Obesity in Type 1 Diabetic Subjects: A Sex-specific Analysis From the AMD Annals Initiative

OBJECTIVE

Obesity is a growing emergency in type 1 diabetes (T1D). Sex differences in obesity prevalence and its clinical consequences in adult T1D subjects have been poorly investigated. The aim of this study was to investigate the prevalence of obesity and severe obesity, clinical correlates, and potential sex differences in a large cohort of T1D subjects participating to the AMD (Associazione Medici Diabetologi) Annals Initiative in Italy.

RESEARCH DESIGN AND METHODS

The prevalence of obesity [body mass index(BMI) ≥30 kg/m2] and severe obesity (BMI ≥ 35 kg/m2) according to sex and age, as well as obesity-associated clinical variables, long-term diabetes complications, pharmacological treatment, process indicators and outcomes, and overall quality of care (Q-score) were evaluated in 37 436 T1D subjects (45.3% women) attending 282 Italian diabetes clinics during 2019.

RESULTS

Overall, the prevalence of obesity was similar in the 2 sexes (13.0% in men and 13.9% in women; mean age 50 years), and it increased with age, affecting 1 out of 6 subjects ages >65 years. Only severe obesity (BMI >35 kg/m2) was more prevalent among women, who showed a 45% higher risk of severe obesity, compared with men at multivariate analysis. Cardiovascular disease risk factors (lipid profile, glucose, and blood pressure control), and the overall quality of diabetes care were worse in obese subjects, with no major sex-related differences. Also, micro- and macrovascular complications were more frequent among obese than nonobese T1D men and women.

CONCLUSIONS

Obesity is a frequent finding in T1D adult subjects, and it is associated with a higher burden of cardiovascular disease risk factors, micro- and macrovascular complications, and a lower quality of care, with no major sex differences. T1D women are at higher risk of severe obesity.

Lifestyle and physical fitness in adolescents with type 1 diabetes and obesity

Background

The association between Type 1 Diabetes Mellitus (T1DM) and obesity (Ob) is no longer unexpected due to unhealthy lifestyle mostly in adolescents. We compared clinical-biochemical characteristics, adherence to the Mediterranean Diet (MD), lifestyle habits and physical fitness across different weight categories of T1DM adolescents from Campania Region. As second aim, we assessed the relationship among lifestyle and physical fitness in these patients.

Methods

74 adolescents (35M; 39F; 13-18 y), with T1DM diagnosed at least 6 mo before the study, were enrolled at the Regional Center for Pediatric Diabetology of Vanvitelli University of Naples. Height, weight, Body Mass Index (BMI), BMI z-score, and Clinical Biochemical health-related parameters were determined. MD adherence, physical activity (PA) amount and sedentary habits were assessed by questionnaires. Handgrip strength, 2-Min Step test (2-MST) cardiorespiratory endurance and Timed up and go test (TUG) for agility and balance were used for physical fitness evaluation.

Results

Our sample included 22 normal weight (NW), 37 overweight (OW) and 15 with Obese (Ob) adolescents. Across the three groups, adolescents showed similar Clinical-Biochemical parameters, MD adherence, PA amount, mostly walking (9.3 h/w), daily video exposure (8.5 h/d) and similar handgrip or 2-MST performance. Better performance was observed in NW compared to OW or Ob for TUG (7 vs 8 vs 9 s; p < 0.05). A positive correlation was found between TUG test and BMI, while no correlation was found between HbA1c (glycated haemoglobin) and BMI z score or 2-MST.

Conclusions

T1DM adolescents did not meet the recommendations for active lifestyle, despite a medium/good adherence to MD, in particular in NW and OW youths. Sedentary habits correlated with a poor HbA1c. Further, reduced agility and balance were observed in adolescents with obesity compared to NW participants.Future research should be aimed to examine wider samples and to design health promotion interventions for T1DM adolescents.

Effect of obesity and excessive body fat on glycaemic control in paediatric type 1 diabetes

OBJECTIVES

Excessive adiposity is believed to contribute to insulin resistance, resulting in more complex metabolic outcomes and poorer glycaemic control. This study aimed to determine the prevalence of overweight/obese, excessive adiposity, and metabolic syndrome in type 1 diabetes mellitus (T1DM) children, who were from a relatively overweight/obese population, and to assess the effects on glycaemic control.

METHODS

A cross-sectional study was conducted from November 2019 to August 2020 on T1DM children between 6 and 18 years old who attended the Paediatric Endocrine Clinic Putrajaya Hospital. Anthropometry and bioelectrical impedance analysis (Inbody 720) were measured to analyse their effects towards glycated haemoglobin (HbA_1c) via SPSS 21.

RESULTS

A total of 63 T1DM were recruited with an equal male-to-female ratio. The mean age was 12.4 ± 3.3 years old with a mean HbA_1c of 9.8 ± 2.0%. The prevalence of overweight/obese and excessive body fat was 17.5 and 34.9%, respectively. Only 3 (6.8%) fulfilled the metabolic syndrome criteria. The waist circumference had a significant relationship with HbA_1c. Every 10 cm increment of waist circumference was predicted to raise HbA_1c by 0.8. The odds ratio of having abdominal obesity among T1DM with excessive body fat was 9.3 times.

CONCLUSIONS

Abdominal obesity is significantly associated with a poorer glycaemic control in T1DM children. Monitoring of waist circumference should be considered as part of the routine diabetic care.

The metabolic syndrome is frequent in children and adolescents with type 1 diabetes compared to healthy controls

OBJECTIVE

There is a rise in overweight and obesity among children and adolescents with type 1 diabetes (T1D) in parallel with the rise in the metabolic syndrome (MetS) among children and adolescents. The aim of the study was to describe the prevalence and characteristics of MetS in children and adolescents with T1D compared to their healthy counterparts.

RESEARCH DESIGN AND METHODS

The study includes two Danish cohorts; (i) the Copenhagen cross sectional cohort 2016 of 277 children and adolescents with T1D that attend the pediatric outpatient clinic at a large hospital in greater Copenhagen and (ii) the CHAMPS-study DK which is a population-based cohort study of Danish children and adolescents (control cohort). Participants were categorized to have MetS if at least two of the following criteria were met: (i) systolic and/or diastolic blood pressure ≥ 90th percentile, (ii) waist circumference ≥90th percentile, and (iii) triglyceride ≥90th percentile and/or HDL ≤10th percentile.

RESULTS

The prevalence of children with Mets in the T1D cohort was higher than in the control cohort (p = 0.002). Moreover, participants with T1D had MetS at a lower level of BMI (p < 0.001) and waist circumference (p < 0.001) than participants with MetS from the control cohort (z-scores = 0.90 and 1.51). Participants with MetS were younger than the other T1D participants (median 12.8 [9.9,14.8] vs. median 14.6 [11.2,16.9] years, p = 0.006).

CONCLUSIONS

Children and adolescents with T1D have an increased risk of MetS compared to healthy controls and clinicians and caretakers should consider early prevention and health promotion strategies.

Prevalence of metabolic syndrome and predictors of metabolic risk in Indian children, adolescents and youth with type 1 diabetes mellitus

INTRODUCTION

Children with type 1 diabetes (T1D) are at the same risk of developing metabolic syndrome (MS) as the general population. Several environmental factors such as lifestyle, exogenous insulin therapy (over-insulinization) and genetic/familial factors are thought to underlie the phenotype of 'double diabetes' (co-existence of MS components in patients with T1D).

OBJECTIVES

To determine the prevalence of overweight/obesity and MS and to identify its predictors in Indian children, adolescents and young adults with T1D.

METHODS

This cross-sectional study included 355 children and youth aged 6-23 years with T1D. Demographic data were obtained from patients using questionnaires. Anthropometry, blood pressure, sexual maturity rating, biochemical measurements and body composition measurements were performed using standard protocols. Insulin resistance (IR) was calculated using estimated glucose disposal rate (eGDR) and MS was diagnosed using the international diabetes federation (IDF) consensus definition 2017.

RESULTS

The prevalence of overweight/obesity and MS in our study was 15.5% and 4.5%, respectively. Abnormal HDL-cholesterol was the most common component of MS (55.6%) among children with T1D. Age, gender, body mass index (BMI) and eGDR were identified as significant predictors of the likelihood of MS.

CONCLUSIONS

We found a similar prevalence of MS in children with T1D as compared to other healthy children, which emphasises the need for monitoring of eGDR to determine IR in these children.

Association between Metabolic Syndrome and Microvascular Complications in Chinese Adults with Type 1 Diabetes Mellitus

BACKGROUND

Both type 1 diabetes mellitus (T1DM) and metabolic syndrome (MetS) are associated with an elevated risk of morbidity and mortality yet with increasing heterogeneity. This study primarily aimed to evaluate the prevalence of MetS among adult patients with T1DM in China and investigate its associated risk factors, and relationship with microvascular complications.

METHODS

We included adult patients who had been enrolled in the Guangdong T1DM Translational Medicine Study conducted from June 2010 to June 2015. MetS was defined according to the updated National Cholesterol Education Program criterion. Logistic regression models were used to estimate the odds ratio (OR) for the association between MetS and the risk of diabetic kidney disease (DKD) and diabetic retinopathy (DR).

RESULTS

Among the 569 eligible patients enrolled, the prevalence of MetS was 15.1%. While female gender, longer diabetes duration, higher body mass index, and glycosylated hemoglobin A1c (HbA1c) were risk factors associated with MetS (OR, 2.86, 1.04, 1.14, and 1.23, respectively), received nutrition therapy education was a protective factor (OR, 0.46). After adjustment for gender, age, diabetes duration, HbA1c, socioeconomic and lifestyle variables, MetS status was associated with an increased risk of DKD and DR (OR, 2.14 and 3.72, respectively; both P<0.05).

CONCLUSION

Although the prevalence of MetS in adult patients with T1DM in China was relatively low, patients with MetS were more likely to have DKD and DR. A comprehensive management including lifestyle modification might reduce their risk of microvascular complications in adults with T1DM.

Determinants of ultra-processed food consumption in Brazilian children and adolescents with type 1 diabetes mellitus: a cross-sectional study

OBJECTIVES

To analyze the determinants of UPP consumption among children and adolescents with type 1 diabetes mellitus.

METHODS

Cross-sectional study at a reference hospital for the treatment of diabetes in Rio de Janeiro, Brazil. The sociodemographic, anthropometric, dietary, and clinical factors associated with the percentage of total energy intake (TEI) consumed in the form of UPP were investigated. Food consumption was assessed by 24 h recall and the foods were classified according to the degree of processing as described in the NOVA classification, after which the TEI of each food group was calculated. Multiple linear regression was adopted in the analysis, and associations with p<0.05 were considered significant.

RESULTS

The study included 120 children and adolescents with a mean age of 11.74 ± 2.88 years, 53.3% female. Body mass index z-score was 0.65 (± 0.89) and 31.7% (n=38) were overweight. The average total energy consumption was 1,756.38 kcal (± 518.38). The mean percentage of TEI from UPP was 24.2% ± 17.9, meaning that 425.59 kcal (± 380.15) of all calories ingested came from such foods. The independent variables associated with the percentage of ultra-processed foods (UPP) in TEI were: per capita household income up to one the minimum wage (β: -22.03; CI 95% -35.24 to -8.82); and parents/guardians schooling of the up to nine years in formal education (β: 19.86; CI 95% 8.27-31.45).

CONCLUSIONS

Lower household income and fewer years in formal education seem to determine a preference for UPP over fresh and minimally processed foods.

Prevalence of Metabolic Syndrome in Children and Adolescents with Type 1 Diabetes Mellitus and Possibilities of Prevention and Treatment: A Systematic Review

Overweight and obesity are an increasingly common problem, not only among the healthy population, but also in adolescents with type 1 diabetes (T1DM). Excess body weight is related to many cardiometabolic complications as well as a high risk of metabolic syndrome (MetS). The purpose of this systematic review is to provide a concise and critical overview of the prevalence of MetS in children and adolescents with T1DM and, ultimately, to discuss prevention and treatment options. The study was conducted in accordance with PRISMA guidelines. This review shows that, apart from the growing percentage of overweight and obese children and adolescents with T1DM (on average 20.1% and 9.5%, respectively), the problem of the increasing incidence of MetS (range from 3.2 to 29.9%, depending on the criteria used) is one of the most important phenomena of our time. One of the methods of prevention and treatment is a combined approach: changing eating habits and lifestyle, but there are also reports about the beneficial effects of the gut microflora.

Global prevalence of metabolic syndrome among patients with type I diabetes mellitus: a systematic review and meta-analysis

BACKGROUND

The presence of metabolic syndrome among diabetes patients is frequent and is associated with an increased incidence of chronic complications and mortality. Despite several studies have been conducted, there is no overall estimation on the prevalence of metabolic syndrome among type 1 diabetic patients. Therefore, this study aimed to estimate the pooled prevalence of metabolic syndrome among patients with type 1 diabetes mellitus.

METHODS

Medline via PubMed, CINAHL, ScienceDirect, Ovid, Google Scholar, ResearchGate and African Journals Online were searched by limiting publication period from January 2005 to October 2020. Data were extracted with a standardized format prepared in Microsoft Excel and exported to Stata 16.0 for analyses. The I² statistic was used to check heterogeneity across the included studies. DerSimonian and Laird random-effects model was applied to estimate pooled prevalence and 95% confidence interval across studies. Funnel plot symmetry, Begg's test and Egger's regression test were used to determine the presence of publication bias. Subgroup and sensitivity analysis as well as meta-regression were conducted to explore the potential sources of heterogeneity. The study protocol is registered on PROSPERO with reference number: CRD42020213435.

RESULTS

In this meta-analysis, a total of 27 studies with 45,811 study participants were included. The pooled prevalence of metabolic syndrome was 23.7% with substantial heterogeneity (I² = 98.2%; P < 0.001). Geographical-based subgroup analysis revealed that the highest prevalence was observed in Australia (27.3%). As per meta-analysis of 17 studies, the pooled prevalence of metabolic syndrome in female type 1 diabetes patients (25.9%) was slightly higher than male T1DM patients (22.5%).

CONCLUSION

Nearly a quarter of the type 1 diabetes mellitus patients were affected by metabolic syndrome. Therefore, more attention should be paid to the prevention and control of the epidemic and for the reduction of the morbidity and mortality associated with metabolic syndrome among type 1 diabetes mellitus patients.

Nutritional Status of Pediatric Patients with Type 1 Diabetes Mellitus from Northeast Poland: A Case-Control Study

INTRODUCTION

A significant increase in the incidence of overweight and obesity is observed among children and adolescents. This problem began to occur not only in healthy populations, but also among young diabetics. The aim of the study was to assess the nutritional status of children and adolescents with type 1 diabetes mellitus (T1DM) compared to those in a control group of healthy subjects as well as to determine the influence of the type of insulin therapy used.

METHODS

The case-control study included 169 people aged 9-15 years. The study group (n = 85) consisted of Polish children with T1DM, and the control group (n = 84) consisted of healthy subjects. The assessment of the nutritional status included anthropometric measurements. Analysis of body composition was carried out by bioelectrical impedance analysis. To assess nutritional behavior a questionnaire was used. Approval was obtained from the ethics committee of the Medical University of Białystok (no. R-I-002/168/2017).

RESULTS

Median body mass index (BMI) value in the T1DM group was 19.2 kg/m² and was statistically significantly (P < 0.05) higher than in the control group (17.8 kg/m²). Normal BMI was found in 90% of the individuals in the CSII group, while in the MDI group it was only 61%. The percentage of fat mass was 19.1% in the T1DM group and 17.6% in the healthy group. The percentage of muscle mass was 36.1% and 34.5%, respectively. The abdominal obesity according to waist circumference (above 90th percentile) turned out to be statistically significant (P < 0.01) and occurred more often in adolescents with T1DM (27%), while in the healthy group it was 12%.

CONCLUSIONS

The healthy individuals as well as the majority of the children and adolescents with type 1 diabetes mellitus were well nourished. People using personal insulin pumps showed better nutritional status than those using insulin pens.

Cardiovascular risk factors in children and adolescents with type 1 diabetes in Italy: a multicentric observational study

AIMS

To assess the prevalence of cardiovascular risk factors (CVRFs) and to identify the variables associated with CVRFs in a cohort of children and adolescents with Type 1 Diabetes.

METHODS

2021 subjects, 2-18 year-old, were recruited in 17 Italian Pediatric Diabetes Centers. Anthropometric, blood pressure, biochemical (HbA1c, lipid profile, ACR), insulin therapy, physical activity level, smoking and family socio-economic status data were collected. CVRFs prevalence and their distribution were analyzed according to age and binary logistic regression was performed with positivity for at least one major CVRF (BMI-SDS > +2SD, blood pressure > 90th percentile, LDL cholesterol>100 mg/dL) as dependent variable and age, duration of illness, gender, HbA1c and physical activity, as independent variables.

RESULTS

The prevalence of CVFRs not at the recommended target was respectively: 32.5% one CVRF, 6.7% two CVRFs and 0.6% three CVRFs, with no significant differences across the 3 age groups (2-10, 10-15, 15-18 years). In the total sample, HbA1c and inadequate physical activity were associated with a higher probability of having at least one major CVRF. This probability was associated with physical activity in the 2-10-year-old group, with physical activity and HbA1c in the 10-15-year-old group and with HbA1c only in subjects older than 15 years.

CONCLUSIONS

More than 30% of subjects had at least a major CVRF. Early detection of CVRFs may be useful to enforce the therapeutic intervention in this subgroup, in order to reduce the risk to develop cardiovascular complications.

Adolescents with severe obesity show a higher cardiovascular (CV) risk than those with type 1 diabetes: a study with skin advanced glycation end products and intima media thickness evaluation

AIMS

Type 1 diabetes (T1D) and obesity are strongly associated with cardiovascular (CV) risk and can start in the paediatric age. The CV risk profile of two groups of adolescents was compared through the evaluation of sAGE, IMT and known variables associated with CV risk. The first group was affected by T1D with duration of disease of at least 5 years or 3 years since puberty onset, and the second by severe obesity for more than 3 years.

METHODS

A total of 116 patients were prospectively enrolled in the study (71 T1D, 33 males and 38 females; 45 obese, 18 males and 27 females), and their sAGE, IMT, waist/height ratio, LDL cholesterol, triglycerides/cholesterol HDL ratio, BMI, HbA1c and blood pressure were measured.

RESULTS

An IMT value > 0.7 mm, cut-off value to define CV risk, was present in 28% of the obese patients and in no T1D patients. Age-adjusted sAGE and HbA1c levels were higher T1D patients, whereas a higher percentage of pathological values was present in most of the remaining studied variables. In T1D patients, there was a higher percentage of females with waist/height ratio > 0.5, LDL cholesterol > 100 mg/dL, triglycerides/HDL cholesterol ratio > 2 and BMI > 99° centile and a higher percentage of males with HbA1c > 7%. On the contrary, in obese patients there were no differences between males and females. Multiple analysis is identified BMI SDS as the only variable with a significant influence on IMT in both groups. Furthermore, it showed that HbA1c and gender affected sAGE in T1D patients, whereas only age and gender in the obese patients.

CONCLUSIONS

Our study demonstrates that our adolescents with severe obesity carry a much higher CV risk than adolescents with T1D unless in bad metabolic control. Apart from lower sAGE levels, most of the variables considered to define CV risk were higher in the obese group than in the T1D group. Gender seems to have a significant impact on sAGE levels but not on IMT.

Effect of liraglutide on food consumption, appetite sensations and eating behaviours in overweight people with type 1 diabetes

AIMS

To investigate the effects of 24 weeks of treatment with liraglutide added to basal/bolus insulin on energy intake, appetite sensations and eating behaviours in overweight/obese participants with type 1 diabetes (T1D).

METHODS

In a double-blinded crossover fashion, 15 participants were randomly assigned (1:1) to receive placebo 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. Food intake was measured, visual analogue scales and Three-Factor Eating Questionnaires were completed. Paired rank tests were used to compare the variables.

RESULTS

When treated with liraglutide, participants modified their ad libitum food consumption with decreased total intake and % fat and increased carbohydrates. Their appetite sensations were modified: fasting desire to eat, hunger and prospective food consumption were significantly reduced. The sensation of fullness was prolonged for a few hours after a standardized breakfast. Restraint and disinhibition were significantly reduced by liraglutide.

CONCLUSIONS

In this randomized clinical trial, the addition of liraglutide to basal/bolus insulin therapy for 24 weeks in overweight/obese individuals with T1D significantly improved their food consumption, appetite sensations and eating behaviours.

Endocrine Disrupting Chemicals and Type 1 Diabetes

Type 1 diabetes (T1D) is the most common chronic metabolic disease in children and adolescents. The etiology of T1D is not fully understood but it seems multifactorial. The genetic background determines the predisposition to develop T1D, while the autoimmune process against β-cells seems to be also determined by environmental triggers, such as endocrine disrupting chemicals (EDCs). Environmental EDCs may act throughout different temporal windows as single chemical agent or as chemical mixtures. They could affect the development and the function of the immune system or of the β-cells function, promoting autoimmunity and increasing the susceptibility to autoimmune attack. Human studies evaluating the potential role of exposure to EDCs on the pathogenesis of T1D are few and demonstrated contradictory results. The aim of this narrative review is to summarize experimental and epidemiological studies on the potential role of exposure to EDCs in the development of T1D. We highlight what we know by animals about EDCs’ effects on mechanisms leading to T1D development and progression. Studies evaluating the EDC levels in patients with T1D were also reported. Moreover, we discussed why further studies are needed and how they should be designed to better understand the causal mechanisms and the next prevention interventions.

Type 1 diabetes and body composition in youth: A systematic review

An increasing prevalence of overweight and obesity was reported in youth with type 1 diabetes, likely due to the intensive insulin treatment and/or an unhealthy lifestyle. Analyses of body composition may help describe the real increase in fat mass, which contributes to the diabetes-related cardio-metabolic risk. This systematic review evaluated the current literature on body composition assessments in youth with type 1 diabetes and the potential association with cardio-metabolic, functional, or behavioural risk factors. A systematic search of literature studies reporting assessments of body composition in youth with type 1 diabetes published until April 2018 was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Twenty-three articles with different study designs reported assessments of body composition. The following methods were used to assess body composition: computerized dual energy X-ray absorptiometry (n = 10), bioelectrical impedance analysis (n = 8), skinfold thickness measurement (n = 4), and air displacement plethysmography (n = 1). Higher fat mass values were found in youth with type 1 diabetes in seven of the 13 studies that included a healthy control group. Most studies investigating the association between body composition and cardio-metabolic risk factors showed that youth with higher fat mass levels had poor glycaemic control, dyslipidaemia, or higher blood pressure. Assessments of body composition may represent a useful clinical procedure to support decision-making in type 1 diabetes management. Further research is needed to standardize the assessment of body composition and develop a consensus guideline.

Predictive factors of non-HDL cholesterol in children and adolescents with type 1 diabetes mellitius: A cross-sectional study

AIMS

To assess predictors of non-HDL cholesterol in children and adolescents with T1DM.

METHODS

A cross-sectional study of 120 children and adolescents aged 7-16 with T1DM, but without any other chronic morbidities, at a referral outpatient clinic for the treatment of diabetes in Rio de Janeiro, Brazil. Socio-demographic, anthropometric, dietary, and clinical factors were assessed, which included measurements of serum lipids and glycated hemoglobin (HbA1c). Food intake was assessed by 24-h dietary recall. Multiple linear regression was adopted in the analysis.

RESULTS

The mean age of of the subjects was 11.74 ± 2.88 years, 53.3% were female, and the mean duration of T1DM was 6.68 ± 3.33 years. The mean energy intake from carbohydrates, proteins, and lipids was 51.98% (±9.20), 21.43% (±6.13), and 26.57% (±9.98), respectively. The energy intake from processed and ultra-processed foods represented 40.79% of total energy intake. The predictors of non-HDL cholesterol were: HbA1c (%) (p = 0.000, β = 8.5, CI: 4.8-12.1), duration of T1DM (p = 0.000, β = 2.8, CI: 1.3-4.3), and sex (p = 0.032, β = 10.1, CI: 0.9-19.4).

CONCLUSION

Glycemic control was the major modifiable predictor of non-HDL cholesterol concentrations, a significant indicator of cardiovascular risk.

Evolution of body mass index in children with type 1 diabetes mellitus

The prevalence of childhood overweight and obesity has risen during the last 30 years, not only in children with type 2 diabetes, but also those with type 1 (T1D) and this is linked with an increased cardiovascular risk. A better understanding of weight patterns in the years after diagnosis of T1D is important to identify those children with a risk for excess weight gain and strategies to decrease this. We retrospectively analyzed data of all children with T1D followed at the department of Pediatric Endocrinology Leuven and diagnosed between 1991 and 2015. Data as age, sex, BMI, and Tanner score were extracted in 390 subjects. Standardized BMI (BMI SDS) in this study group using all data was 0.26. An increase in BMI SDS was seen as a function of time since diagnosis and age, both being independent predictors. Data comparison showed a significant stronger relation between BMI SDS and both time since diagnosis and age in girls. Children diagnosed after puberty showed a higher increase in BMI SDS.Conclusion: These longitudinal data suggest an important increase in BMI in children with T1D, both as a function of time since diagnosis and age, especially in girls. What is Known: • The prevalence of childhood overweight and obesity is risen during the last 30 years, in children with type 2 diabetes, but also those with type 1 diabetes. What is New: • Our study demonstrates with longitudinal data an increase in BMI in children with type 1 diabetes, especially girls. The increase in BMI SDS is seen as a function of time since diagnosis and age, both being independent predictors. Given the increased risk of metabolic syndrome and other complications in overweight children, special attention is needed to prevent this evolution.

Prevalence of underweight, overweight, and obesity in children and adolescents with type 1 diabetes: Data from the international SWEET registry

OBJECTIVE

To assess the prevalence of underweight (UW), overweight (OW), and obesity in children and adolescents with type 1 diabetes (T1D).

METHODS

An international cross-sectional study including 23 026 T1D children (2-18 years, duration of diabetes ≥1 year) participating in the SWEET prospective, multicenter diabetes registry. Body mass index SD score (BMI-SDS) was calculated using the World Health Organization BMI charts. Children were categorized as UW (BMI-SDS < -2SD), OW (+1SD < BMI-SDS ≤ +2SD), and obese (OB) (BMI-SDS > +2SD). Hierarchic regression models were applied with adjustment for sex, age, and duration of diabetes.

RESULTS

The prevalence of UW, OW, and obesity was: 1.4%, 22.3%, and 7.3% in males and 0.6%, 27.2%, and 6.8% in females. Adjusted BMI-SDS was significantly higher in females than in males (mean ± SEM: 0.54 ± 0.05 vs 0.40 ± 0.05, P < 0.0001). In males, BMI-SDS significantly decreased by age (P < 0.0001) in the first three age categories 0.61 ± 0.06 (2 to <10 years), 0.47 ± 0.06 (10 to <13 years), 0.34 ± 0.05 (13 to <16 years). In females, BMI-SDS showed a U-shaped distribution by age (P < 0.0001): 0.54 ± 0.04 (2 to <10 years), 0.39 ± 0.04 (10 to <13 years), 0.55 ± 0.04 (13 to <16 years). BMI-SDS increased by diabetes duration (<2 years: 0.38 ± 0.05, 2 to <5 years: 0.44 ± 0.05, and ≥5 years: 0.50 ± 0.05, P < 0.0001). Treatment modality did not affect BMI-SDS. Adjusted HbA1c was significantly higher in females than in males (8.20% ± 0.10% vs 8.06% ± 0.10%, P < 0.0001). In both genders, the association between HbA1c and BMI-SDS was U-shaped with the highest HbA1c in the UW and obesity groups.

CONCLUSIONS

The high rate of OW and obesity (31.8%) emphasize the need for developing further strategies to prevent and treat excess fat accumulation in T1D.

Macrovascular disease and risk factors in youth with type 1 diabetes: time to be more attentive to treatment?

Cardiovascular disease remains the leading cause of mortality in patients with type 1 diabetes. Although cardiovascular disease complications are rare until adulthood, pathology and early markers can manifest in adolescence. Whereas advances have been made in the management of microvascular complications of type 1 diabetes, similar progress in reducing macrovascular complications has not been made. The reasons for the absence of progress remain incompletely understood, but most likely relate to the long time needed for cardiovascular disease to manifest clinically and hence for risk factor management to show a clinical benefit, thus allowing inertia to prevail for diagnosis and particularly for targeting risk factors. In this Review, we summarise paediatric data on traditional and novel risk factors of cardiovascular disease, provide an overview of data from previous and current clinical trials, discuss future directions in cardiovascular disease research for paediatric patients with type 1 diabetes, and advocate for the early identification and treatment of cardiovascular disease risk factors as recommended in multiple guidelines.

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.

Glucose-independent association of adiposity and diet composition with cardiovascular risk in children and adolescents with type 1 diabetes

AIMS

To test the hypothesis that diet composition, adiposity and glycometabolic control could independently contribute to an increase in the cardiovascular risk (CVR) for children/adolescents with type 1 diabetes (T1D).

METHODS

One hundred and eighty children/adolescents with T1D (age range 5-18 years) were enrolled. Diet (3-day weighed dietary record), physical (height, weight, waist circumference, bioelectrical impedance analysis) and biochemical (HbA1c, lipid profile) parameters were recorded. Regression models, using non-HDL cholesterol (a gross index of CVR) as the dependent variable and HbA1c (mmol/mol), fat mass (FM) %, lipid-to-carbohydrate intake ratio as independent ones, were calculated.

RESULTS

Non-HDL cholesterol was significantly associated with adiposity (FM%; r = 0.27, 95% CI 0.13-0.43), body fat distribution (waist-to-height ratio; r = 0.16, 95% CI 0.02-0.31), lipid intake [% of energy intake (EI)] (r = 0.25, 95% CI 0.11-0.41), carbohydrate intake (% EI; r = -0.24, 95% CI 0.10-0.40), lipid-to-carbohydrate intake ratio (r = 0.26, 95% CI 0.12-0.42) and blood glucose control (HbA1c; r = 0.24, 95% CI 0.10-0.40). A p value cutoff of 0.10 was used for covariates to be included in the regression analysis. Multiple regression analysis showed that adiposity (FM%), blood glucose control (HbA1c) and lipid-to-carbohydrate intake ratio independently contributed to explaining the inter-individual variability of non-HDL cholesterol (R ² = 0.163, p < 0.05).

CONCLUSIONS

Adiposity and lipid-to-carbohydrate intake ratio affect non-HDL cholesterol, a gross index of CVR, regardless of HbA1c, in children and adolescents with T1D. Intervention to reduce CVR in T1D patients should focus not only on glycometabolic control but also on adiposity and diet composition.

Ethnic variation in the correlation between waist to height ratio and total daily insulin requirement in children with type 1 diabetes: a cross-sectional study

INTRODUCTION

Total daily insulin required to achieve glycaemic control in type 1 diabetes (T1D) depends on numerous factors. Correlation of insulin requirement to body mass index and waist circumference has been variably reported in the literature and that of waist-to-height ratio has not been studied.

AIMS

To study the correlation between daily insulin requirement [total daily dose (TDD)] and waist-to-height ratio (WHtR) in a multiethnic population.

METHODS

A cross-sectional study of children (5-18 years) with T1D attending a diabetes clinic in a multiethnic population in Bradford, UK was conducted. Physical measurements were undertaken in the clinic setting and data collected from case notes and patients/carers.

RESULTS

Sixty nine patients with mean age 12.7(±3.1) yr, duration of diabetes 5.4(±3.5) yr and hemoglobin A1c (HbA1c) 80(±18)mmol/mol(9.5 ± 1.6%) were recruited. Nearly 54% (n = 37) were white and 46% were non-white (29 Asian Pakistani; 1 Indian; 2 mixed White Afro-Caribbean). The two groups had similar demographics and disease profiles. Non-whites compared with whites had a higher prevalence of obesity (15 vs 5%, p < 0.01), family history of type 2 diabetes (T2D) (49% vs. 33%), microalbuminuria (22% vs. 11%, p < 0.05) and deprivation (mean index of multiple deprivation score 42 vs. 30, p < 0.001). WHtR and TDD were poorly correlated in the whole group. There was however a significant positive correlation in Caucasians (r = 0.583, N = 37, p < 0.01) and a negative correlation in Asian Pakistanis (r = -0.472, N = 32, p < 0.01); with a significant negative correlation seen in subjects with relatives with T2D (r = -0.86, N = 6, p = 0.02).

CONCLUSIONS

The variation in correlations highlights that the two ethnic groups behave differently and should therefore be studied separately with regards to factors influencing insulin requirements with careful consideration to the presence of parental IR. Further prospective studies are required to explore the reasons for these differences.

Clinical, Psychosocial, and Demographic Factors Are Associated With Overweight and Obesity in Early Adolescent Girls With Type 1 Diabetes

PURPOSE

The purpose of the study was to examine the differences in clinical, psychosocial, and demographic factors by sex and weight status.

METHODS

Baseline data were analyzed from 318 adolescents (mean age = 12.3 ± 1.1 years, 55.0% female, 62.7% white) with type 1 diabetes (T1D) from a multisite clinical trial. Differences were examined between normal weight (body mass index ≥5th and <85th percentile) and overweight/obese (body mass index ≥85th percentile) boys and girls with T1D in clinical, psychosocial, and demographic factors. Descriptive and multiple logistic regression analyses were used.

RESULTS

Overweight/obesity was prevalent (39.0%) and common in girls (42.6%) and boys (33.1%). In bivariate analyses, overweight/obese girls had parents with lower educational attainment, longer diabetes duration, and significantly worse self-management and psychosocial health as compared with normal weight girls. There were no differences between overweight/obese and normal weight girls in A1C, therapy type, race/ethnicity, or household income. No significant differences were found between normal weight and overweight/obese boys. In multivariate analysis, parental educational attainment (master or higher vs high school diploma or less) and perceived stress were significantly associated with overweight/obesity in girls. Longer duration of T1D bordered statistical significance.

CONCLUSIONS

Overweight/obesity is prevalent among adolescents with T1D. Clinical, psychosocial, and demographic factors are associated with overweight/obesity in girls but not boys. Greater attention to weight status and aspects of health that are germane to adolescents with T1D is warranted.

Double-diabetes in a real-world sample of 2711 individuals: associated with insulin treatment or part of the heterogeneity of type 1 diabetes?

BACKGROUND

Double diabetes (DD) describes both individuals with obesity upon diagnosis of type 1 diabetes and those who have gained weight during follow-up, although cardiovascular risk factors (CVRF) are not well understood in this group. We aim to evaluate the frequency of DD in a real-world type 1 diabetes sample and the interaction of insulin treatment with CVRF.

METHODS

Multicentre cross-sectional study of 2711 individuals with clinical diagnosis of type 1 diabetes from secondary diabetes centres in 20 Brazilian cities.

RESULTS

Patients with diabetes duration <5 and ≥5 years had similar frequency of overweight (20.4 vs. 25 %) and obesity, (9.8 vs. 6.1 %), p 0.28 for trend. Insulin dose (U/kg/day) was lower in obese individuals compared to normal BMI, with mean (95 % CI) 0.72 (0.62-0.83) vs. 0.88 (0.84-0.92) U/kg/day for diabetes duration <5 years and 0.84 (0.77-0.92) vs. 0.99 (0.97-1.01) U/kg/day for duration ≥5 years. Obese individuals had lower HDL (47.5 vs. 54.4 mg/dL) and higher non-HDL-cholesterol (134.5 vs. 115.2 mg/dL) than lean ones only among those with more than 5 years of diabetes.

CONCLUSIONS

Lower insulin doses in obese individuals point to a role of clinical heterogeneity in insulin deficiency rather than normal progression of type 1 diabetes. Early obesity in type 1 diabetes is associated to lower HDL-cholesterol and higher number of CVRF. These data suggest a broad landscape of pathophysiological phenomena in double diabetes, rather than simple progression of a homogeneous clinical entity.

Body mass index changes in youth in the first year after type 1 diabetes diagnosis

OBJECTIVES

To describe changes in weight and body mass index (BMI) during the first year following diagnosis of type 1 diabetes (T1D) and associations with demographic and clinical characteristics.

STUDY DESIGN

The Pediatric Diabetes Consortium includes 7 US centers with prospective longitudinal data from initial T1D diagnosis. This analysis includes 530 youth with diabetes duration of ≥1 year and measures of BMI at 3 and 12 months after diagnosis. BMI trajectory of participants and relationships between the change in BMI z-score from baseline (3 months) to 12 months with demographic characteristics, hemoglobin A1c at baseline, and insulin delivery mode at baseline were evaluated.

RESULTS

As a group, BMI z-scores increased sharply from diagnosis for 1-3 months but remained relatively stable from +0.51 at 3 months to +0.48 at 12 months. Children aged 2-<5 years experienced a significant positive change in BMI z-score between 3 and 12 months, and there was a similar trend among girls that did not reach statistical significance. No significant differences were found for race, socioeconomic status, or insulin delivery mode.

CONCLUSIONS

These data suggest that increased BMI during the first year of treatment of most youth with T1D reflects regain of weight lost before diagnosis. There is, however, a propensity toward additional weight gain in younger children and girls.

Overweight and Obesity Based on Four Reference Systems in 18,382 Paediatric Patients with Type 1 Diabetes from Germany and Austria

AIM

To evaluate the prevalence of overweight and obesity in paediatric type 1 diabetes (T1D) subjects, based on four commonly used reference populations.

METHODS

Using WHO, IOTF, AGA (German pediatric obesity), and KiGGS (German Health Interview and Examination Survey for Children and Adolescents) reference populations, prevalence of overweight (≥90th percentile) and obesity (≥97th percentile) and time trend between 2000 (n = 9,461) and 2013 (n = 18,382) were determined in 2-18-year-old T1D patients documented in the German/Austrian DPV database.

RESULTS

In 2000, the overweight prevalence was the highest according to IOTF (22.3%), followed by WHO (20.8%), AGA (15.5%), and KiGGS (9.4%). The respective rates in 2013 were IOTF (24.8%), WHO (22.9%), AGA (18.2%), and KiGGS (11.7%). Obesity prevalence in 2000 was the highest according to WHO (7.9%), followed by AGA (4.5%), IOTF (3.1%), and KiGGS (1.8%). In 2013, the respective rates were WHO (9.6%), AGA (6.2%), IOTF (4.5%), and KiGGS (2.6%). Overall, the prevalence of overweight and obesity increased from 2000 to 2006 (p < 0.001) but showed stabilization thereafter in girls and overweight in boys.

CONCLUSION

Overweight and obesity prevalence in T1D subjects differs significantly if it is assessed by four separate reference populations. More detailed assessment of each child is required to determine obesity-related risks.

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

Transition from pediatric to adult care. eight years after the transition from pediatric to adult diabetes care: metabolic control, complications and associated diseases

BACKGROUND

Transition from pediatric to adult care is a critical process in the life of patients with diabetes.

AIM

Primary aim of the study was to compare the metabolic control between pediatric care and adult care at least 5 years in a group of patients with type 1 diabetes mellitus (T1DM). Secondary aim was to evaluate the presence of complications, associated diseases and psychological-psychiatric disorders.

SUBJECTS AND METHODS

We obtained data from 73 % (69/94) patients (current mean age 34 years) transferred to local adult centers between 1985 and 2005 at a mean age of 23.8 years. Data were collected for HbA1c, diabetic complications and associated diseases.

RESULTS

Mean HbA1c did not change during the pediatric, transition and adult period [8.4 ± 1.8 % (68 ± 18 mmol/mol), 8.3 ± 1.4 % (67 ± 15 mmol/mol) and 8.4 ± 1.3 % (68 ± 14 mmol/mol), respectively]. 13 patients dropped out, after 2-12 years since transition, and their HbA1c mean value at transition was 10.4 %. After a mean of 25.9 years of disease, 35/69 patients (50.7 %) showed retinopathy, and 12/69 patients (17.3 %) nephropathy. Thyroid diseases were the most frequent associated diseases (18.3 %), followed by depression (11.2 %) and benign neoplasms (9.8 %). Drug or alcohol addictions were present in four cases (5.6 %).

CONCLUSIONS

After a mean follow-up of 8 years metabolic control after transition did not change significantly in patients constantly attending to adult care centre. Patients with diabetes onset between 20 and 40 years ago were free from complications in 50 % of cases when considering retinopathy and in more than 80 % considering nephropathy. Thyroid problems were the most common associated diseases. Poor metabolic control at transition is associated with higher risk of drop-out and psychosocial morbidity.

Sex-specific-differences in cardiometabolic risk in type 1 diabetes: a cross-sectional study

Background

Little is known about the impact of sex-specific differences in the management of type 1 diabetes (T1DM).

Thus, we evaluated the influence of gender on risk factors, complications, clinical care and adherence in patients with T1DM.

Methods

In a cross-sectional study, sex-specific disparities in glycaemic control, cardiovascular risk factors, diabetic complications, concomitant medication use and adherence to treatment recommendations were evaluated in 225 consecutive patients (45.3% women) who were comparable with respect to age, diabetes duration, and body mass index.

Results

Although women with T1DM had a higher total cholesterol than men, triglycerides were higher in obese men and males with HbA1c>7% than in their female counterparts. No sex differences were observed in glycaemic control and in micro- or macrovascular complications. However, the subgroup analysis showed that nephropathy was more common in obese men, hyperlipidaemic women and all hypertensive patients, whereas peripheral neuropathy was more common in hyperlipidaemic women. Retinopathy was found more frequently in women with HbA1c>7%, obese men and in both sexes with a long duration of diabetes. The multivariate analysis revealed that microvascular complications were associated with the duration of disease and BMI in both sexes and with hyperlipidaemia in males. The overall adherence to interventions according to the guidelines was higher in men than in women. This adherence was concerned particularly with co-medication in patients diagnosed with hypertension, aspirin prescription in elderly patients and the achievement of target lipid levels following the prescription of statins.

Conclusions

Our data showed sex differences in lipids and overweight in patients with T1DM. Although glycaemic control and the frequency of diabetic complications were comparable between the sexes, the overall adherence to guidelines, particularly with respect to the prescription of statins and aspirin, was lower in women than in men.

Heterogeneous behavior of lipids according to HbA1c levels undermines the plausibility of metabolic syndrome in type 1 diabetes: data from a nationwide multicenter survey

Background

Cardiovascular risk factors (CVRF) may cluster in type 1 diabetes, analogously to the metabolic syndrome described in type 2 diabetes. The threshold of HbA1_c above which lipid variables start changing behavior is unclear. This study aims to 1) assess the behavior of dyslipidemia according to HbA1_c values; 2) detect a threshold of HbA1_c beyond which lipids start to change and 3) compare the clustering of lipids and other non-lipid CVRF among strata of HbA1_c individuals with type 1 diabetes.

Methods

Effects of HbA1_c quintiles (1st: ≤7.4%; 2nd: 7.5-8.5%; 3rd: 8.6-9.6%; 4th: 9.7-11.3%; and 5th: >11.5%) and covariates (gender, BMI, blood pressure, insulin daily dose, lipids, statin use, diabetes duration) on dyslipidemia were studied in 1275 individuals from the Brazilian multi-centre type 1 diabetes study and 171 normal controls.

Results

Body size and blood pressure were not correlated to lipids and glycemic control. OR (99% CI) for high-LDL were 2.07 (1.21-3.54) and 2.51 (1.46-4.31), in the 4th and 5th HbA1_c quintiles, respectively. Hypertriglyceridemia increased in the 5th quintile of HbA1_c, OR 2.76 (1.20-6.37). OR of low-HDL-cholesterol were 0.48 (0.24-0.98) and 0.41 (0.19-0.85) in the 3rd and 4th HbA1_c quintiles, respectively. HDL-cholesterol correlated positively (0.437) with HbA1_c in the 3rd quintile. HDL-cholesterol and insulin dose correlated inversely in all levels of glycemic control.

Conclusions

Correlation of serum lipids with HbA1_c is heterogeneous across the spectrum of glycemic control in type 1 diabetes individuals. LDL-cholesterol and triglycerides worsened alongside HbA1_c with distinct thresholds. Association of lower HDL-cholesterol with higher daily insulin dose is consistent and it points out to a role of exogenous hyperinsulinemia in the pathophysiology of the CVRF clustering. These data suggest diverse pathophysiological processes depending on HbA1_c, refuting a unified explanation for cardiovascular risk in type 1 diabetes.