A decade of temporal trends in overweight/obesity in youth with type 1 diabetes after the Diabetes Control and Complications Trial

Sociodemographic inequities and use of hybrid closed-loop systems associated with obesity in youth with type 1 diabetes

AIMS

This study aimed to describe changes over time in rates of overweight and obesity and to identify factors associated with obesity in youth with type 1 diabetes.

METHODS

We analyzed data from 7360 diabetes medical visits among 2242 youth with type 1 diabetes for ≥1 year followed at a pediatric, tertiary care, academic medical center between 2018 and 2023. Multivariable generalized estimating equations (GEE) analysis and conditional logistic regression (CLR), where each patient had both control (not obesity) and case (obesity) status, were conducted.

RESULTS

Adjusted annual percentages of patients with obesity increased from 13.8 % in 2018 to 18.2 % in 2023 (P = 0.006); rates of overweight did not differ significantly over time. In multivariable GEE analysis, public insurance (P = 0.026), lower Child Opportunity Index score (P = 0.027), and use of hybridclosed-loop (HCL) systems (P = 0.023) were associated with obesity. In CLR, use of continuous glucose monitor and HCL systems and the sum of their effects (P = 0.002) were associated with obesity.

CONCLUSIONS

This study revealed increasing rates of obesity in children with type 1 diabetes and identified sociodemographic and diabetes care-related factors associated with obesity, highlighting targets for intervention to decrease future risk of cardiovascular complications.

Triglyceride-glucose index in adolescents with type 1 diabetes mellitus

BACKGROUND AND AIM

Even though HbA1c can be obtained easily and accurately by blood test, the cost may limit its availability for some patients and their proper follow-up. The triglyceride-glucose index has been shown to have an association with HbA1c in other populations, but it hasn't been studied in adolescents with T1DM yet. The aim of this study is to assess the association of TyG index with glycaemic control in adolescents with T1DM.

METHODS

This cross-sectional study included a sample of 36 adolescents (50% female) from the paediatric unit of the San Juan Hospital in Alicante (Spain). Data on sociodemographics, growth parameters, glycaemic control, and blood tests results were collected after routine visits.

RESULTS

A higher TyG index was statistically associated with a higher BMI, percentile and z-score, a higher triglyceride, HbA1c and glucose levels and with the triglycerides/HDL, the total cholesterol/HDL, the TyG-BMI and the TyG-waist circumference indexes.

CONCLUSION

The TyG index is a simple and non-invasive biomarker that could serve as a valuable adjunct to HbA1c monitoring in adolescents with T1DM. It may have a potential utility as a screening tool for early identification of patients at risk for developing metabolic complications such as insulin resistance and dyslipidemia.

Impact of the culturally adapted kids in control of food (KICk OFF) educational program on glycemic control and BMI in adolescents with type 1 diabetes in Kuwait: A retrospective study

AIMS

To examine the effectiveness of the culturally adapted Kids in Control Of Food (KICk OFF) structured educational program on glycemic control and BMI z-scores (BMIz) in adolescents with type 1 diabetes in Kuwait.

METHODS

We conducted a retrospective analysis of 161 adolescents aged 11-16 years with type 1 diabetes who participated in the culturally adapted KICk OFF program at Dasman Diabetes Institute from 2019 to 2023. Changes in glycated hemoglobin (HbA1c) and BMIz were assessed from baseline to six months post-program using paired t-tests and Wilcoxon signed-rank tests, respectively.

RESULTS

After six months post-program, there was a significant reduction in HbA1c levels (mean ± standard deviation) from 9.3 ± 1.8 % (78 ± 20 mmol/mol) to 8.9 ± 1.7 % (74 ± 19 mmol/mol), P <0.0001. The greatest improvements observed in participants with baseline HbA1c >9.5 % (reduction of 0.70 % [8 mmol/mol]) and those with HbA1c 7.5-9.5 % (reduction of 0.32 % [4 mmol/mol]). There was a slight increase in median BMIz by 0.08 (interquartile range -0.04-0.22).

CONCLUSIONS

The culturally adapted KICk OFF program shows a potential in improving glycemic control among adolescents with type 1 diabetes, particularly in those with initially suboptimal control. Future research through randomized controlled trials and over longer periods is recommended to validate these results.

Mechanisms underlying the development of eating disorders and disordered eating in adolescent females with type 1 diabetes

OBJECTIVE

People with Type 1 diabetes (T1D) face an increased risk of eating disorders/disordered eating (ED/DE), with adolescents being particularly vulnerable. Empirical knowledge on the mechanisms underlying development of ED/DE in T1D is crucial for evolving prevention strategies.

RESEARCH DESIGN AND METHODS

Fourteen semi-structured interviews with adolescent females with T1D and ED/DE between 14 and 18 years were conducted and analyzed using reflexive thematic analysis.

RESULTS

Analyses identified four main themes; 'Interconnected afflictions', 'Judgment', 'Feeling Different', and 'Chaos & Control', These themes explore the interconnectedness of T1D and ED/DE, with shame and guilt emerging as common underlying mechanism. The development of a biopsychosocial model was based on the integration of these data with existing models.

CONCLUSIONS

The study extends previous developmental pathways of ED/DE in adolescents with T1D. We propose a biopsychosocial model that incorporates various factors: predisposing factors such as parental management of T1D and weight gain during adolescence; precipitating factors including comments on weight, frequency of weighing, perceptions of surveillance; the perpetuating bilateral influence of ED/DE and T1D and finally highlighting the protective mechanisms of disease acceptance encompassing parental handling of diagnosis and the contribution of healthcare professionals (HCP's) role in psychoeducation. The present study highlight the vulnerability of adolescence in the presence of T1D, particularly concerning issues related to eating, weight, and body. It offers clinically relevant insights, with the aim to improve communication and management strategies for this very specific group.

24-h energy expenditure in people with type 1 diabetes: impact on equations for clinical estimation of energy expenditure

BACKGROUND/OBJECTIVES

Type 1 diabetes (T1D) is associated with an increase in resting metabolic rate (RMR), but the impact of T1D on other components of 24-h energy expenditure (24-h EE) is not known. Also, there is a lack of equations to estimate 24-h EE in patients with T1D. The aims of this analysis were to compare 24-h EE and its components in young adults with T1D and healthy controls across the spectrum of body mass index (BMI) and derive T1D-specific equations from clinical variables.

SUBJECTS/METHODS

Thirty-three young adults with T1D diagnosed ≥1 year prior and 33 healthy controls matched for sex, age and BMI were included in this analysis. We measured 24-h EE inside a whole room indirect calorimeter (WRIC) and body composition with dual x-ray absorptiometry.

RESULTS

Participants with T1D had significantly higher 24-h EE than healthy controls (T1D = 2047 ± 23 kcal/day vs control= 1908 ± 23 kcal/day; P < 0.01). We derived equations to estimate 24-h EE with both body composition (fat free mass + fat mass) and anthropometric (weight + height) models, which provided high coefficients of determination (R2 = 0.912 for both). A clinical model that did not incorporate spontaneous physical activity yielded high coefficients of determination as well (R2 = 0.897 and R2 = 0.880 for body composition and anthropometric models, respectively).

CONCLUSION

These results confirm that young adults with established T1D have increased 24-h EE relative to controls without T1D. The derived equations from clinically available variables can assist clinicians with energy prescriptions for weight management in patients with T1D.

Epidemiology of type 1 diabetes mellitus in children and adolescents: A 50-year, single-center experience

BACKGROUND

Global variations in epidemiology of type 1 diabetes mellitus (T1DM) exist. This study is designed to examine demographic and clinical features of T1DM over the past 3 decades as well as evolving trends in epidemiology over last 50 years.

METHODS

Clinical characteristics of 925 patients with T1DM over last 30 years (1990-2019) were evaluated and compared to previously published data of 477 patients diagnosed between 1969 and 1990 from one of the major referral centers for diabetes in Turkey.

RESULTS

Mean age at diagnosis decreased from 9.5 ± 4.0 to 7.1 ± 3.6 years within the past 50 years (p < .001). Age at diagnosis peaked at 12-14 years between 1969 and 1990, then fell to 10-11.9 years between 1990 and 1999, and to 4-5.9 years between 2000-2009 and 2010-2019 (p = .005). Although the percentage of patients diagnosed <6 years of age is gradually increasing, the percentage between the ages of 6 and 11.9 years is decreasing, and the percentage diagnosed ≥12 years remained stable. A total of 47.5% of patients had ketoacidosis, 38.2% had ketosis, and 14.3% had only hyperglycemia. 23% of patients had severe diabetic ketoacidosis (DKA), whereas 42% had moderate. Over last 3 decades, there has been no change in frequency of ketoacidosis at presentation, but there has been significant decline in severity (p = .865, and p < .001, respectively). Although the frequency of patients with mild DKA increased over time, frequency of patients with moderate DKA decreased; however, no significant difference was observed among patients with severe ketoacidosis. DKA was more frequent and severe in patients <6 years of age (p = .005, and p < .001, respectively).

CONCLUSION

Age at diagnosis shifted to younger ages in T1DM in the past 50 years. Half of patients had ketoacidosis at diagnosis and frequency of presentation with DKA did not decrease, but severity decreased slightly. Increase in prevalence of T1DM in the younger age group and the fact that half of patients present with DKA indicate that awareness should be increased in terms of early diagnosis and treatment.

Cardiovascular Risk Factors in Adolescents with Type 1 Diabetes: Prevalence and Gender Differences

Objective

Cardiovascular diseases (CVD) are the most important cause of morbidity and mortality in patients with type 1 diabetes (T1D). Children with T1D have a similar or higher prevalence of being overweight (OW) or obese (Ob) compared to healthy peers. The aim of this study was to determine the prevalence of CVD risk factors in children and adolescents with T1D and the impact of obesity and sex differences on these factors.

Methods

Data of patients aged 10-21 years and who had been using intensive insulin therapy with a diagnosis of T1D for at least three years were evaluated. Patients were divided into normal weight (NW), OW and Ob groups based on body mass index percentiles. Risk factors for CVD (obesity, dyslipidemia, hypertension) were compared between groups, and impact of gender was also analyzed.

Results

Data of 365 patients (200 girls, 54.8%), were evaluated. Prevalence of OW/Ob was 25.9% and was significantly higher in girls (30.6% vs 20.1%, p<0.001). Rate of hypertension was highest in OW/Ob girls followed by OW/Ob boys, and similar in NW girls and boys (p=0.003). Mean low density lipoprotein cholesterol (LDL-c) and triglyceride (TG) levels were highest in OW/Ob girls, followed by OW/Ob boys, NW girls and NW boys, respectively (p<0.001 and p<0.001, respectively). Mean high density lipoprotein-cholesterol (HDL-c) levels were similar among groups. Rates of high LDL-c and TG were similar between OW/Ob girls and boys and higher than NW girls, followed by NW boys (p<0.001 and p<0.001, respectively). The rate of low HDL-c was similar in OW/Ob girls and boys, and higher than NW girls, followed by NW boys (p<0.001). Overall, girls were 1.9 times more likely than boys to have two or more risk factors for CVD. Factors associated with risk for CVD in multiple logistic regression analyses were being a girl, followed by higher daily insulin dose, higher hemoglobin A1c, and longer duration of diabetes (r=0.856; p<0.001).

Conclusion

In spite of the increased prevalence for obesity in both sexes, the trend for CVD risk factors was greater in Ob girls, followed by Ob boys and NW girls. Girls with T1D are more likely to be OW/Ob and to have CVD risk than boys, highlighting the need for early intervention and additional studies to elucidate the causes.

The emergence of obesity in type 1 diabetes

Obesity, a chronic low-grade inflammatory disease represented by multifactorial metabolic dysfunctions, is a significant global health threat for adults and children. The once-held belief that type 1 diabetes is a disease of people who are lean no longer holds. The mounting epidemiological data now establishes the connection between type 1 diabetes and the subsequent development of obesity, or vice versa. Beyond the consequences of the influx of an obesogenic environment, type 1 diabetes-specific biopsychosocial burden further exacerbates obesity. In the course of obesity management discussions, recurring challenges surfaced. The interplay between weight gain and escalating insulin dependence creates a vicious cycle from which patients struggle to break free. In the absence of weight management guidelines and regulatory approval for this population, healthcare professionals must navigate the delicate balance between benefits and risks. The gravity of this circumstance highlights the importance of bringing these topics to the forefront. In this Review, we discuss the changing trends and the biopsychosocial aspects of the intersection between type 1 diabetes and obesity. We highlight the evidence supporting the therapeutic means (i.e., exercise therapy, nutritional therapy, adjunct pharmacotherapy, and bariatric surgery) and directions for establishing a more robust and safer evidence-based approach.

Weight Management Behaviors are Associated with Elevated Glycemic Outcomes in Adolescents and Young Adults with Type 1 Diabetes

Many adolescents and young adults (AYAs) with type 1 diabetes (T1D) engage in weight management behaviors (i.e., trying to lose weight), and efforts to manage weight may impact glycemic control. We assessed objective/subjective weight status and weight management behaviors in a diverse sample of 76 AYAs with T1D, and examined differences in sociodemographic characteristics and A1c levels by the following categories: (1) Overweight BMI/weight management (n = 21), (2) overweight BMI/no weight management (n = 6), (3) in/below-range BMI/weight management (n = 25), (4) in/below-range BMI/no weight management (n = 24). Subjective overweight status was more common among late adolescents and females; female gender was associated with weight management behaviors. AYAs endorsing weight management behaviors evidenced higher A1c values than those who did not. Clinicians working with AYAs should be aware of associations among weight management and glycemic indicators and routinely screen for weight management behaviors. Future research should explore interventions to promote healthy lifestyle behaviors among AYAs.

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.

Effect of Asanas in Yoga on Intraocular Pressure of Practicing Healthy Individuals: a Prospective Observational Study

Introduction: Yoga is focused attention by breath and mantra. This forms the basis for a scientific investigation of its effect on various physiological functions such as intraocular pressure (IOP). Objective: To evaluate the effect of asanas in Yoga on the IOP of practicing individuals. Methods:A prospective, observational study was performed on 107 volunteers practising the asanas such as Sun salutation exercise (Surya Namaskar), Skull shining breath (Kapalabhati Pranayama), Downward facing dog (Adho Mukha Svanasana), Standing forward bend (Uttanasana), Legs up the wall pose (Viparita Karani), Alternate breathing technique (Anulom Vilom), Deep meditation (Dhyana), Bellows breath (Bhastrika Pranayama), Yoga head stand (Shirshasana) and control of breathing exercise (Pranayama) each for five minutes/day (40-60 minutes) for at least five days in a week for 12 weeks. The IOP measurement was performed for each asana (before and after) at baseline and every four weeks. The primary outcome was the change in IOP. Statistical analyses were performed using Statistical Package for Social Sciences version 23.0. A p-value of less than 0.05 was considered statistically significant. Results:The mean age of the participants was 42.64±7 years, and the male to female ratio was 1.2:1. Skull shinning breath, Sun salutation, Downward facing dog, Standing forward bend, Legs up the wall pose, Deep meditation and alternate breathing techniques showed a significant mean reduction in IOP at baseline, followed by every four weeks, till week 12, while Yoga head stand, Bellows breath and control of breath led to a significant increase in IOP. Conclusion:Yoga head stand, Bellows breath and control of breathing technique worsen IOP transiently.

Impact of overweight and obesity on epicardial adipose tissue in children with type 1 diabetes

OBJECTIVES

Epicardial adipose tissue (EAT) thickness, a novel marker of cardiovascular disease (CVD), is increased in children with a healthy weight and type 1 diabetes (T1D). The prevalence of obesity has increased in children with T1D and may confer additional CVD risk. The purpose of this study was to examine EAT thickness in youth with and without T1D in the setting of overweight/obesity.

METHODS

Youth with overweight/obesity and T1D (n=38) or without T1D (n=34) between the ages of 6-18 years were included in this study. Echocardiogram using spectral and color flow Doppler was used to measure EAT and cardiac function. Waist circumference, blood pressure, and HbA_1c, were used to calculate estimated glucose disposal rate (eGDR) to estimate insulin resistance in children with T1D.

RESULTS

EAT thickness was not significantly different in youth with T1D compared to controls (2.10 ± 0.67 mm vs. 1.90 ± 0.59 mm, p=0.19). When groups were combined, EAT significantly correlated with age (r=0.449, p≤0.001), BMI (r=0.538, p≤0.001), waist circumference (r=0.552, p≤0.001), systolic BP (r=0.247, p=0.036), myocardial performance index (r=-0.287, p=0.015), ejection fraction (r=-0.442, p≤0.001), and cardiac output index (r=-0.306, p=0.009). In the group with T1D, diastolic BP (r=0.39, p=0.02) and eGDR (r=-0.48, p=0.002) correlated with EAT.

CONCLUSIONS

EAT was associated with measures of adiposity and insulin resistance but does not differ by diabetes status among youth with overweight/obesity. These findings suggest that adiposity rather than glycemia is the main driver of EAT thickness among youth with T1D.

Highlighting the Role of Obesity and Insulin Resistance in Type 1 Diabetes and Its Associated Cardiometabolic Complications

PURPOSE OF REVIEW

This narrative review appraises research data on the potentially harmful effect of obesity and insulin resistance (IR) co-existence with type 1 diabetes mellitus (T1DM)-related cardiovascular (CVD) complications and evaluates possible therapeutic options.

RECENT FINDINGS

Obesity and IR have increasingly been emerging in patients with T1DM. Genetic, epigenetic factors, and subcutaneous insulin administration are implicated in the pathogenesis of this coexistence. Accumulating evidence implies that the concomitant presence of obesity and IR is an independent predictor of worse CVD outcomes. The prevalence of obesity and IR has increased in patients with T1DM. This increase can be partly attributed to general population trends but, additionally, to iatrogenic weight gain caused by insulin treatment. This association might be the missing link explaining the excess CVD burden observed in patients with T1DM despite optimal glycemic control. Data on newer agents for type 2 diabetes mellitus (T2DM) treatment are unraveling novel ways to challenge this aggravating coexistence.

Effects of common weight loss plans on diabetes mellitus and cardiovascular risk factors

Diabetes mellitus is globally considered one of the most common chronic diseases, management of which is critically asscociated with an adequate dietary approach. With overweight and obesity being a global epidemic, choosing the appropriate weight loss plan for patients with diabetes seems to be of particular concern for healthcare professionals. Since diabetes and cardiovascular diseases frequently coexist, modern pharmacological therapeutic models aim at addressing both. Therapeutic targets in diabetic population that address glycemic control, adequate lipid and blood pressure control proves to limit the incidence of cardiovascular events, reduce the risk of chronic complications and improve patients quality of life. Similarly, dietary managment in this population should also concentrate on the reduction of reversible cardiovascular risk factors. Nutritional recommendations for diabetic patients should be individualized to meet their expectations and lifestyle in order to ensure compliance and long-term effects. As diabetic population is more vulnerable to further health risks associated with diet induced metabolic changes, inadequate intake of dietary components and increased cardiovascular risk, nutrition plans should be addressed more carefully in this group.

Body mass index, basal insulin and glycemic control in children with type 1 diabetes treated with the advanced hybrid closed loop system remain stable - 1-year prospective, observational, two-center study

BACKGROUND

Information on the influence of insulin treatment using advanced hybrid closed loop systems (AHCL) on body weight of young patients with type 1 diabetes (T1D) is scarce. The aim of this study was to observe whether there were any changes in body mass index (BMI) of children and adolescents with T1D treated using the Medtronic Minimed 780G AHCL after 1 year of follow up and to analyze potential associations between these changes and the insulin doses.

MATERIALS AND METHODS

For 50 children and adolescents (age 5.4-16.8 years, 24 (48%) boys, T1D for 3.9 ± 2.56 years) using an AHCL system anthropometric and AHCL data were collected prospectively. BMI Z-scores and two-week AHCL records obtained after AHCL enrollment were compared with data after 6 months and also 1 year after starting AHCL.

RESULTS

The BMI Z-score of the patients at 1 year follow-up did not change from time of AHCL initiation (0.51 ± 2.79 vs 0.57 ± 2.85, p>0.05). There was a slight increase in total daily insulin per kg of body weight (0.67 ± 0.21 U/kg vs 0.80 ± 0.21 U/kg, p <0.001), but the percent of basal insulin was unchanged (34.88 ± 6.91% vs 35.08 ± 6.30%, p>0.05). We observed also no change (AHCL start vs after 1 year) in glycemic control parameters: average sensor glucose (131.36± 11.04 mg/dL vs 132.45 ± 13.42 mg/dL, p>0.05), coefficient of variation (34.99± 5.17% vs 34.06 ± 5.38%, p>0.05), glucose management indicator (6.45 ± 0.26% vs 6.48 ± 0.32%, p>0.05), and time spent in the range of 70-180 mg/dL (79.28 ± 8.12% vs 80.40 ± 8.25%, p>0.05).

CONCLUSION

During the 1 year of follow-up the BMI of children and adolescents with T1D treated with an AHCL system remained stable. Although there was a slight increase in the total daily insulin dose, the percent of basal insulin was unchanged. The patients maintained recommended glycemic control.

Multi-Faceted Influence of Obesity on Type 1 Diabetes in Children - From Disease Pathogenesis to Complications

The prevalence of overweight and obesity among youth patients with diabetes type 1 is increasing. It is estimated, that even up to 35% of young patients with this type of diabetes, considered so far to be characteristic for slim figure, are overweight or even obese. General increase of obesity in children's population complicates differential diagnosis of the type of diabetes in youths. Coexistence of obesity has clinical implications for all stages of diabetes course. It is confirmed that obesity is the risk factor for autoimmune diabetes, and is connected with the earlier onset of diabetes in predisposed patients. Many diabetic patients with obesity present additional risk factors for macroangiopathy, and are recognised to present metabolic syndrome, insulin resistance, and typical for diabetes type 2 - polycystic ovary syndrome, or non-alcoholic fatty liver disease. The prevalence of obesity rises dramatically in adolescence of diabetic child, more often in girls. It has negative impact on metabolic control, glycaemic variability and insulin demand. The risk for microangiopathic complications increases as well. The treatment is difficult and includes not only insulinotherapy and non-pharmacological trials. Recently treatment of insulin resistance with biguanids, and treatment with typical for type 2 new diabetes drugs like GLP-1 analogues, SGLT-2 receptor inhibitors, or even cases of bariatric surgery also has been reported.

Diabetes-Related Stigma among Adolescents: Emotional Self-Efficacy, Aggressiveness, Self-Care, and Barriers to Treatment Compliance

Recent studies indicate that over 60% of adolescents with type 1 diabetes (T1D) experience diabetes-related stigma (DRS). DRS may affect their emotional self-efficacy (ESE), behavior, and self-care while increasing barriers to comply with physical and mental health treatment. We examined differences in ESE, aggressiveness, self-care, and barriers to comply with treatment among 51 T1D youths (aged 12-17 years) with (G1; n = 35) and without (G2; n = 16) any history of DRS enrolled in a depression treatment study. Using a MANOVA followed by individual univariate analyses, we compared groups in continuous variables, and to conduct comparisons in categorical variables, we used Chi-square tests. MANOVA results were significant, F(5, 45) = 3.20, p = .015. G1 reported lower scores than G2 on ESE, perception of the potential therapeutic impact of group sessions, and family support to comply with insulin treatment. G1 caregivers perceived their offspring as more aggressive and affected by barriers to treatment adherence than their counterparts. G1 members showed a higher proportion of cases with body mass index problems, non-compliance with their meal plan, and multiple episodes of hypoglycemia. Compared to G2, a lower percentage of adolescents in G1 met the recommended glycemic control levels. Our findings support the relationship of DRS with a lower ESE, more behavioral problems, difficulties in food-related self-care, and more barriers to comply with the treatment of diabetes and emotional problems in adolescents. They suggest the need for large-scale education to prevent DRS and psychosocial interventions to combat its impact in adolescents.

Strategically Playing with Fire: SGLT Inhibitors as Possible Adjunct to Closed-Loop Insulin Therapy

As closed-loop insulin therapies emerge into clinical practice and evolve in medical research for type 1 diabetes (T1D) treatment, the limitations in these therapies become more evident. These gaps include unachieved target levels of glycated hemoglobin in some patients, postprandial hyperglycemia, the ongoing need for carbohydrate counting, and the lack of non-glycemic benefits (such as prevention of metabolic syndrome and complications). Multiple adjunct therapies have been examined to improve closed-loop systems, yet none have become a staple. Sodium-glucose-linked cotransporter inhibitors (SGLTi's) have been extensively researched in T1D, with average reductions in placebo-adjusted HbA1c by 0.39%, and total daily dose by approximately 10%. Unfortunately, many trials revealed an increased risk of diabetic ketoacidosis, as high as 5 times the relative risk compared to placebo. This narrative review discusses the proven benefits and risks of SGLTi in patients with T1D with routine therapy, what has been studied thus far in closed-loop therapy in combination with SGLTi, the potential benefits of SGLTi use to closed-loop systems, and what is required going forward to improve the benefit to risk ratio in these insulin systems.

The Role of Protein and Fat Intake on Insulin Therapy in Glycaemic Control of Paediatric Type 1 Diabetes: A Systematic Review and Research Gaps

Carbohydrate counting (CHC) is the established form of calculating bolus insulin for meals in children with type 1 diabetes (T1DM). With the widespread use of continuous glucose monitoring (CGM) observation time has become gapless. Recently, the impact of fat, protein and not only carbohydrates on prolonged postprandial hyperglycaemia have become more evident to patients and health-care professionals alike. However, there is no unified recommendation on how to calculate and best administer additional bolus insulin for these two macronutrients. The aim of this review is to investigate: the scientific evidence of how dietary fat and protein influence postprandial glucose levels; current recommendations on the adjustment of bolus insulin; and algorithms for insulin application in children with T1DM. A PubMed search for all articles addressing the role of fat and protein in paediatric (sub-)populations (<18 years old) and a mixed age population (paediatric and adult) with T1DM published in the last 10 years was performed. Conclusion: Only a small number of studies with a very low number of participants and high degree of heterogeneity was identified. While all studies concluded that additional bolus insulin for (high) fat and (high) protein is necessary, no consensus on when dietary fat and/or protein should be taken into calculation and no unified algorithm for insulin therapy in this context exists. A prolonged postprandial observation time is necessary to improve individual metabolic control. Further studies focusing on a stratified paediatric population to create a safe and effective algorithm, taking fat and protein into account, are necessary.

Prevalence of obesity in prepubertal and pubertal with Turkish population type 1 diabetes

To determine the prevalence of prepubertal and pubertal obesity in children and adolescents with type 1 Diabetes Mellitus (Type 1 DM). One hundred fifty children and adolescents aged 6-18 years with Type 1 DM who attended the Pediatric Endocrinology Polyclinic and were diagnosed with type 1 DM were included in the study. Tanner staging was used to estimate pubertal status. Age- and gender-specific body mass index (BMI) percentile between 85 and 95% was accepted as overweight and  > 95% as obese. It was determined that the overweight prevalence rates in children and adolescents with type 1 DM were 13.3% and the obesity rate was 14.3%. It was found that while the overweight prevalence rates (14.1%) were higher in males, the obesity prevalence was higher in females (19.0%). The obesity prevalence rates at the prepubertal and pubertal stages were found to be 17.1% and 13.8%, respectively. The obesity prevalence at the pubertal stage was higher in girls (22.4%) than boys (3.9%) (p < 0.05). The rates both of overweight and obesity in boys decreased from prepubertal to pubertal periods, while those rates increased in girls. Our results indicated that the obesity prevalence in prepubertal and pubertal children and adolescents with type 1 DM was higher compared to healthy peers in the literature. The authors believe that the risk factors for obesity in this population should be determined and obesity-prevention programs for diabetes should be prepared.

Sex-Related Differences in Cardiovascular Disease Risk Profile in Children and Adolescents with Type 1 Diabetes

Cardiovascular disease (CVD) is the primary cause of higher and earlier morbidity and mortality in people with type 1 diabetes (T1D) compared to people without diabetes. In addition, women with T1D are at an even higher relative risk for CVD than men. However, the underlying pathophysiology is not well understood. Atherosclerotic changes are known to progress early in life among people with T1D, yet it is less clear when excess CVD risk begins in females with T1D. This review explores the prevalence of classical CVD risk factors (such as glycemic control, hypertension, dyslipidemia, obesity, albuminuria, smoking, diet, physical inactivity), as well as of novel biomarkers (such as chronic inflammation), in children and adolescents with T1D with particular regard to sex-related differences in risk profile. We also summarize gaps where further research and clearer clinical guidance are needed to better address this issue. Considering that girls with T1D might have a more adverse CVD risk profile than boys, the early identification of and sex-specific intervention in T1D would have the potential to reduce later CVD morbidity and excess mortality in females with T1D. To conclude, based on an extensive review of the existing literature, we found a clear difference between boys and girls with T1D in the presence of individual CVD risk factors as well as in overall CVD risk profiles; the girls were on the whole more impacted.

The Evolution of Hemoglobin A1c Targets for Youth With Type 1 Diabetes: Rationale and Supporting Evidence

The American Diabetes Association 2020 Standards of Medical Care in Diabetes (Standards of Care) recommends a hemoglobin A1c (A1C) of <7% (53 mmol/mol) for many children with type 1 diabetes (T1D), with an emphasis on target personalization. A higher A1C target of <7.5% may be more suitable for youth who cannot articulate symptoms of hypoglycemia or have hypoglycemia unawareness and for those who do not have access to analog insulins or advanced diabetes technologies or who cannot monitor blood glucose regularly. Even less stringent A1C targets (e.g., <8%) may be warranted for children with a history of severe hypoglycemia, severe morbidities, or short life expectancy. During the "honeymoon" period and in situations where lower mean glycemia is achievable without excessive hypoglycemia or reduced quality of life, an A1C <6.5% may be safe and effective. Here, we provide a historical perspective of A1C targets in pediatrics and highlight evidence demonstrating detrimental effects of hyperglycemia in children and adolescents, including increased likelihood of brain structure and neurocognitive abnormalities, microvascular and macrovascular complications, long-term effects, and increased mortality. We also review data supporting a decrease over time in overall severe hypoglycemia risk for youth with T1D, partly associated with the use of newer insulins and devices, and weakened association between lower A1C and severe hypoglycemia risk. We present common barriers to achieving glycemic targets in pediatric diabetes and discuss some strategies to address them. We aim to raise awareness within the community on Standards of Care updates that impact this crucial goal in pediatric diabetes management.

Dyslipidemia and cardiovascular disease risk factors in patients with type 1 diabetes: A single-center experience

BACKGROUND

Type 1 diabetes (T1D) contributes to altered lipid profiles and increases the risk of cardiovascular disease (CVD). Youth with T1D may have additional CVD risk factors within the first decade of diagnosis.

AIM

To examine risk factors for dyslipidemia in young subjects with T1D.

METHODS

Longitudinal and cross-sectional retrospective study of 170 young subjects with T1D (86 males; baseline mean age 12.2 ± 5.6 years and hemoglobin A1c 8.4% ± 1.4%) were followed in a single tertiary diabetes center for a median duration of 15 years. Predictors for outcomes of lipid profiles at last visit (total cholesterol [TC], triglycerides [TGs], low-density lipoprotein-cholesterol [LDL-c], and high-density lipoprotein-cholesterol [HDL-c]) were analyzed by stepwise linear regression models.

RESULTS

At baseline, 79.5% of the patients had at least one additional CVD risk factor (borderline dyslipidemia/dyslipidemia [37.5%], pre-hypertension/hypertension [27.6%], and overweight/obesity [16.5%]) and 41.6% had multiple (≥ 2) CVD risk factors. A positive family history of at least one CVD risk factor in a first-degree relative was reported in 54.1% of the cohort. Predictors of elevated TC: family history of CVD (β[SE] = 23.1[8.3], P = 0.006); of elevated LDL-c: baseline diastolic blood pressure (DBP) (β[SE] = 11.4[4.7], P = 0.003) and family history of CVD (β[SE] = 20.7[6.8], P = 0.017); of elevated TGs: baseline DBP (β[SE] = 23.8[9.1], P = 0.010) and family history of CVD (β[SE] = 31.0[13.1], P = 0.020); and of low HDL-c levels: baseline DBP (β[SE] = 4.8[2.1], P = 0.022]).

CONCLUSION

Our findings suggest that elevated lipid profiles are associated with DBP and a positive family history of CVD. It is of utmost importance to prevent and control modifiable risk factors such as these, as early as childhood, given that inadequate glycemic control and elevation in blood pressure intensify the risk of dyslipidemia.

Obesity in Patients with Type 1 Diabetes: Links, Risks and Management Challenges

Obesity affects large numbers of patients with type 1 diabetes (T1D) across their lifetime, with rates ranging between 2.8% and 37.1%. Patients with T1D and obesity are characterized by the presence of insulin resistance, of high insulin requirements, have a greater cardiometabolic risk and an enhanced risk of developing chronic complications when compared to normal-weight persons with T1D. Dual treatment of obesity and T1D is challenging and no specific guidelines for improving outcomes of both glycemic control and weight management have been established for this population. Nevertheless, although evidence is scarce, a comprehensive approach based on a balanced hypocaloric diet, physical activity and cognitive behavioral therapy by a multidisciplinary team, expert in both obesity and diabetes, remains as the best clinical practice. However, weight loss responses with lifestyle changes alone are limited, so in the "roadmap" of the treatment of obesity in T1D, it will be helpful to include anti-obesity pharmacotherapy despite at present there is a lack of evidence since T1D patients have been excluded from anti-obesity drug clinical trials. In case of severe obesity, bariatric surgery has proven to be of benefit in obtaining a substantial and long-term weight loss and reduction in cardiovascular risk. The near future looks promising with the development of new and more effective anti-obesity treatments and strategies to improve insulin resistance and oxidative stress. Advances in precision medicine may help individualize and optimize the medical management and care of these patients. This review, by gathering current evidence, highlights the need of solid knowledge in all facets of the treatment of patients with obesity and T1D that can only be obtained through high quality well-designed studies.

Association between age at type 1 diabetes diagnosis and metabolic outcome at young adulthood: a real-life observational study

BACKGROUND

Younger age at diagnosis of type 1 diabetes (T1D) may affect the clinical course and outcome. We examined whether age at diagnosis was associated with glycemic control and metabolic outcome in young adulthood.

METHODS

This observational study included 105 young adults with T1D (current mean age: 21.2 ± 3.0 years, mean age at diagnosis 12.0 ± 4.0 years) followed during 2012 to 2019. Data on HbA1c, glucose variability, continuous glucose monitoring (CGM) metrics, body mass index (BMI), blood pressure (BP), and body composition were collected from medical records from age 18 years until last visit, and the association between age at diagnosis and outcomes was assessed.

RESULTS

Age at T1D diagnosis was negatively associated with HbA1c levels (r = -0.368, P = .001), BMI (r = -0.218, P = .026), and diastolic BP (r = -0.215, P = .028). Younger age at diagnosis predicted poorer glycemic control after controlling for T1D duration, sex, socioeconomic status, BMI, and CGM use (r² = 0.19, P = .002). There was a 0.1% greater HbA1c reduction for every yearly increase in age at diagnosis (β = -0.090, P = .042). The mean metabolic age of females diagnosed at <10 years of age was older than their chronological age (P = .049).

CONCLUSIONS

Younger age at T1D diagnosis predicts worse glycemic control at young adulthood, independent of recognized confounding risk factors (disease duration, sex, socioeconomic status, weight, and use of diabetes technology). Female patients diagnosed at a young age have an older metabolic age, indicating the need for lifestyle alteration to improve their basal metabolic rate.

Effect of adjunctive glucose-lowering drugs on body weight in people with type 1 diabetes: a systematic review and network meta-analysis protocol

INTRODUCTION

Obesity increases the risk of comorbidities and diabetes-related complications and, consequently, efforts to prevent and reduce excess weight in people with type 1 diabetes are essential. The aim of this systematic review and network meta-analysis is to assess the effect of adjunctive glucose-lowering drugs on body weight and other important health outcomes in people with type 1 diabetes.

METHODS AND ANALYSIS

This systematic review and network meta-analysis will include randomised controlled trials (RCTs) evaluating the use of adjunctive glucose-lowering drugs for treatment of people with type 1 diabetes. MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, ClinicalTrials.gov and WHO International Clinical Trials Registry Platform will be searched from inception to present. Key eligibility criteria include: RCT study design; adult participants with type 1 diabetes; treatment with a glucose-lowering drug for ≥24 weeks; and comparison of the intervention to placebo, usual care or another glucose-lowering drug. The primary outcome is change in body weight. Other major outcomes include change in HbA1c and total daily insulin dose and risk of hypoglycaemia and other adverse events. Dual study selection, data extraction and risk of bias assessment will be performed. Results from the meta-analysis will be presented as weighted mean differences for continuous outcomes and risk ratios for dichotomous outcomes. Sources of heterogeneity will be explored by subgroup and sensitivity analysis. A network meta-analysis for the primary outcome will be performed using an arm-based random-effects model based on the Bayesian framework while assessing for transitivity across studies and consistency between direct and indirect estimates. The overall quality of the evidence will be assessed using the Grading of Recommendations, Assessment, Development and Evaluation approach for each outcome.

ETHICS AND DISSEMINATION

No ethical assessment is required. The results of this review will be disseminated through peer-reviewed publication and conference presentation.

PROSPERO REGISTRATION NUMBER

CRD42020158676.

HYPERTRIGLYCERIDEMIC WAIST AND ASSOCIATED FACTORS IN CHILDREN AND ADOLESCENTS WITH TYPE 1 DIABETES MELLITUS

Objective:

To assess the frequency of the hypertriglyceridemic waist phenotype and its associated factors in children and adolescents with type 1 diabetes mellitus.

Methods:

This is an observational analytical study with individuals with type 1 diabetes mellitus, aged 5 to 18 years, of both genders, followed in a university hospital in the Brazilian Northeast. Weight, height, and waist circumference were measured, and the lipid profile and glycated hemoglobin were analyzed. The hypertriglyceridemic waist phenotype was defined by the simultaneous presence of increased waist circumference (≥90^th percentile for age and gender) and elevated serum triglyceride levels (≥75 mg/dL for children and ≥90 mg/dL for adolescents). We also investigated the family history of cardiovascular diseases and diabetes, as well as sociodemographic and behavioral variables. In the statistical inference tests, the proportions were compared by Pearson’s chi-square test ­and/­or Fisher’s exact test, being significant p<0.05.

Results:

A total of 102 patients were evaluated, most of them females (54.9%) and adolescents (66.7%). The frequency of hypertriglyceridemic waist was 23.5%, which was associated with females (p=0.043), overweight (p=0.023), hypercholesterolemia (p=0.002), high LDL (p=0.001), and borderline VLDL (<0.001).

Conclusions:

The frequency of the hypertriglyceridemic waist phenotype was associated with females, atherogenic lipid profile, and overweight, indicating the importance of the nutritional monitoring of this population, aiming at reducing future cardiovascular diseases.

Bariatric Surgery and Type 1 Diabetes: Unanswered Questions

In recent decades there has been an alarming increase in the prevalence of obesity in patients with type 1 diabetes leading to the development of insulin resistance and cardiometabolic complications, with mechanisms poorly clarified. While bariatric surgery has long been considered an effective treatment option for patients with type 2 diabetes, the evidence regarding its benefits on weight loss and the prevention of complications in T1DM patients is scarce, with controversial outcomes. Bariatric surgery has been associated with a significant reduction in daily insulin requirement, along with a considerable reduction in body mass index, results which were sustained in the long term. Furthermore, studies suggest that bariatric surgery in type 1 diabetes results in the improvement of comorbidities related to obesity including hypertension and dyslipidemia. However, regarding glycemic control, the reduction of mean glycosylated hemoglobin was modest or statistically insignificant in most studies. The reasons for these results are yet to be elucidated; possible explanations include preservation of beta cell mass and increased residual function post-surgery, improvement in insulin action, altered GLP-1 function, timing of surgery, and association with residual islet cell mass. A number of concerns regarding safety issues have arisen due to the reporting of peri-operative and post-operative adverse events. The most significant complications are metabolic and include diabetic ketoacidosis, severe hypoglycemia and glucose fluctuations. Further prospective clinical studies are required to provide evidence for the effect of bariatric surgery on T1DM patients. The results may offer a better knowledge for the selection of people living with diabetes who will benefit more from a metabolic surgery.

Long-term body weight trajectories and metabolic control in type 1 diabetes patients on insulin pump or multiple daily injections: A 10-year retrospective controlled study

BACKGROUND AND AIMS

Overweight/obesity is a clinical concern also in patients with Type 1 diabetes (T1DM). These patients' body weight may vary depending on whether treatment consists in continuous subcutaneous insulin infusion (CSII) or multiple daily injections (MDI), as these treatments lead to different blood glucose control, insulin doses, and eating behaviors. We compared long-term body weight trajectories in persons with diabetes on CSII or MDI regimens.

METHODS AND RESULTS

Annual changes in body weight, HbA1c, and daily insulin doses over 6-10 years were retrospectively analyzed in T1DM adult patients on CSII (n = 90) or MDI (n = 90), strictly matched for sex, age, BMI, and diabetes duration. Mean follow-up was 9.1 ± 1.4 years. Body weight increased linearly (∼0.5 kg per year) throughout the observation period (p = 0.001, repeated measures ANOVA) with no significant difference between the CSII and MDI cohorts (p = 0.74), in either normal-weight or overweight/obese patients. HbA1c over follow-up was lower with CSII than with MDI (p = 0.037), maintaining the initial reduction after starting pump therapy. Insulin doses over follow-up were stably lower than baseline (∼20%) with CSII, while linearly increasing (∼20% from baseline to the end of observation) with MDI (p = 0.002). Mean annual weight changes correlated directly with total insulin dose changes (r = 0.191; p = 0.011) and baseline HbA1c level (r = 0.267; p = 0.001), and inversely with HbA1c changes (-0.173; p = 0.021) and baseline age (r = -0.254; p = 0.001).

CONCLUSION

T1DM patients on CSII or MDI showed comparable body weight gain over a 10-year follow-up, despite improved glycemic control and decreased insulin doses with CSII.

Trajectories of hemoglobin A1c and body mass index z-score over four decades among 2 to 18 year olds with type 1 diabetes

OBJECTIVES

To determine trajectories of glycemic control and body mass index (BMI) z-score in a large pediatric sample with type 1 diabetes (T1D) over a 38-year period, and to evaluate sex differences and temporal changes in the prevalence of these trajectories.

METHODS

We conducted a longitudinal, retrospective study of 7002 2 to 18 year olds with T1D followed between 1978 and 2016 at a single center. Group-based modeling was used to identify trajectories for hemoglobin A1c (HbA1c) and BMI z-score. Multinomial logistic regression identified predictors of membership to less favorable glycemic trajectories.

RESULTS

Group-based modeling yielded 5 HbA1c trajectories. A total of 86% of the sample fell within 3 trajectories that were largely stable across childhood and adolescence, and 14% fell within 2 trajectories characterized by marked deterioration beginning in pre-adolescence. Girls were more likely to be in the HbA1c trajectory with the highest starting HbA1c and significant deterioration during adolescence, and in the highest two BMI z-score trajectories. Patients with non-white race had the highest odds of belonging to a less favorable HbA1c trajectory. Prevalence of the high stable HbA1c trajectory decreased and prevalence of the low stable HbA1c trajectory increased over the study period.

CONCLUSIONS

A minority of youth with T1D experienced deterioration of glycemic control during adolescence. Girls were more likely to belong to the worst HbA1c trajectory and to BMI z-score trajectories in the overweight/obese range, which may increase cardiometabolic risk. Addressing racial/ethnic disparities in glycemic control should remain a priority. Advances in T1D management correlated with favorable shifts in HbA1c trajectory prevalence.

Carbohydrate Restriction in Type 1 Diabetes: A Realistic Therapy for Improved Glycaemic Control and Athletic Performance?

Around 80% of individuals with Type 1 diabetes (T1D) in the United States do not achieve glycaemic targets and the prevalence of comorbidities suggests that novel therapeutic strategies, including lifestyle modification, are needed. Current nutrition guidelines suggest a flexible approach to carbohydrate intake matched with intensive insulin therapy. These guidelines are designed to facilitate greater freedom around nutritional choices but they may lead to higher caloric intakes and potentially unhealthy eating patterns that are contributing to the high prevalence of obesity and metabolic syndrome in people with T1D. Low carbohydrate diets (LCD; <130 g/day) may represent a means to improve glycaemic control and metabolic health in people with T1D. Regular recreational exercise or achieving a high level of athletic performance is important for many living with T1D. Research conducted on people without T1D suggests that training with reduced carbohydrate availability (often termed "train low") enhances metabolic adaptation compared to training with normal or high carbohydrate availability. However, these "train low" practices have not been tested in athletes with T1D. This review aims to investigate the known pros and cons of LCDs as a potentially effective, achievable, and safe therapy to improve glycaemic control and metabolic health in people with T1D. Secondly, we discuss the potential for low, restricted, or periodised carbohydrate diets in athletes with T1D.

Risk Factors for Retinopathy in Type 1 Diabetes: The DCCT/EDIC Study

OBJECTIVE

The Diabetes Control and Complications Trial (DCCT) demonstrated that intensive therapy reduced the development and progression of retinopathy in type 1 diabetes (T1D) compared with conventional therapy. The Epidemiology of Diabetes Interventions and Complications (EDIC) study observational follow-up showed persistent benefits. In addition to glycemia, we now examine other potential retinopathy risk factors (modifiable and nonmodifiable) over more than 30 years of follow-up in DCCT/EDIC.

RESEARCH DESIGN AND METHODS

The retinopathy outcomes were proliferative diabetic retinopathy (PDR), clinically significant macular edema (CSME), and ocular surgery. The survival (event-free) probability was estimated using the Kaplan-Meier method. Cox proportional hazards models assessed the association between risk factors and subsequent risk of retinopathy. Both forward- and backward-selection approaches determined the multivariable models.

RESULTS

Rate of ocular events per 1,000 person-years was 12 for PDR, 14.5 for CSME, and 7.6 for ocular surgeries. Approximately 65%, 60%, and 70% of participants remained free of PDR, CSME, and ocular surgery, respectively. The greatest risk factors for PDR in descending order were higher mean HbA_1c, longer duration of T1D, elevated albumin excretion rate (AER), and higher mean diastolic blood pressure (DBP). For CSME, risk factors, in descending order, were higher mean HbA_1c, longer duration of T1D, and greater age and DBP and, for ocular surgeries, were higher mean HbA_1c, older age, and longer duration of T1D.

CONCLUSIONS

Mean HbA_1c was the strongest risk factor for the progression of retinopathy. Although glycemic control is important, elevated AER and DBP were other modifiable risk factors associated with the progression of retinopathy.

Lower plasma insulin levels during overnight closed-loop in school children with type 1 diabetes: Potential advantage? A randomized cross-over trial

Background

Studies have shown that overnight closed-loop insulin delivery can improve glucose control and reduce the risk of hypoglycemia and hence may improve metabolic outcomes and reduce burden for children with type 1 diabetes and their families. However, research so far has not reported insulin levels while comparing closed-loop to open-loop insulin delivery in children. Therefore, in this study we obtained glucose levels as well as plasma insulin levels in children with type 1 diabetes to evaluate the efficacy of a model—based closed-loop algorithm compared to an open-loop administration.

Methods

Fifteen children with type 1 diabetes, 6–12 years, participated in this open-label single center study. We used a randomized cross over design in which we compared overnight closed-loop insulin delivery with sensor augmented pump therapy for two nights in both the hospital and at home (i.e., 1 night in-patient stay and at home per treatment condition). Only during the in-patient stay, hourly plasma insulin and blood glucose levels were assessed and are reported in this paper.

Results

Results of paired sample t-tests revealed that although plasma insulin levels were significantly lower during the closed-loop than in the open-loop (Mean difference 36.51 pmol/l; t(13) = 2.13, p = .03, effect size d = 0.57), blood glucose levels did not vary between conditions (mean difference 0.76 mmol/l; t(13) = 1.24, p = .12, d = 0.37). The administered dose of insulin was significantly lower during the closed-loop compared with the open-loop (mean difference 0.10 UI; t(12) = 2.45, p = .02, d = 0.68).

Conclusions

Lower insulin doses were delivered in the closed-loop, resulting in lower plasma insulin levels, whereby glucose levels were not affected negatively. This suggests that the closed-loop administration is better targeted and hence could be more effective.

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.

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.

Obesity in Type 1 Diabetes: Pathophysiology, Clinical Impact, and Mechanisms

There has been an alarming increase in the prevalence of obesity in people with type 1 diabetes in recent years. Although obesity has long been recognized as a major risk factor for the development of type 2 diabetes and a catalyst for complications, much less is known about the role of obesity in the initiation and pathogenesis of type 1 diabetes. Emerging evidence suggests that obesity contributes to insulin resistance, dyslipidemia, and cardiometabolic complications in type 1 diabetes. Unique therapeutic strategies may be required to address these comorbidities within the context of intensive insulin therapy, which promotes weight gain. There is an urgent need for clinical guidelines for the prevention and management of obesity in type 1 diabetes. The development of these recommendations will require a transdisciplinary research strategy addressing metabolism, molecular mechanisms, lifestyle, neuropsychology, and novel therapeutics. In this review, the prevalence, clinical impact, energy balance physiology, and potential mechanisms of obesity in type 1 diabetes are described, with a special focus on the substantial gaps in knowledge in this field. Our goal is to provide a framework for the evidence base needed to develop type 1 diabetes-specific weight management recommendations that account for the competing outcomes of glycemic control and weight management.

Metabolic risk factors in adolescent girls with type 1 diabetes

BACKGROUND

The incidence of pediatric metabolic syndrome (MS) has progressively increased. The incidence of type 1 diabetes mellitus (T1DM) has also increased. Thus, some children and adolescents with T1DM exhibit MS parameters. The aim of the study was to evaluate the presence of MS parameters in female adolescents with T1DM based on their nutritional status.

METHODS

We evaluated 44 adolescents with T1DM (consecutive non-randomized sample) aged between 14 and 18 years, who were on intensive therapy with insulin. Patients were subdivided according to their body mass index (BMI). Variables evaluated include: age, age at diagnosis, weight, height, BMI, abdominal circumference, blood pressure, glycated hemoglobin (HbA1c), abdominal and pelvic ultrasound and lipoprotein profile. Gynecological history data were also collected.

RESULTS

Lipid profile changes were identified in 32% of overweight or obese girls and in 23% of those with an adequate weight. Hypertension (HT) was observed in 19% of overweight or obese girls and in 14% of those with a BMI≥85th percentile (Pc). The only statistically significant difference between the groups was the presence of abdominal adiposity. All other features, including the presence of dyslipidemia, HT, abdominal adiposity, non-alcoholic steatohepatitis (NASH) and polycystic ovarian syndrome (PCOS), were present in both groups.

CONCLUSIONS

Although being overweight and/or obese aggravates the risk of cardiovascular disease, MS is already present in many young adolescents with T1DM of normal weight. It is necessary that MS risk factors are routinely evaluated in all diabetic adolescents, including those with an adequate BMI.

Adiposity Impacts Intrarenal Hemodynamic Function in Adults With Long-standing Type 1 Diabetes With and Without Diabetic Nephropathy: Results From the Canadian Study of Longevity in Type 1 Diabetes

OBJECTIVE

Central adiposity is considered to be an important cardiorenal risk factor in the general population and in type 1 diabetes. We sought to determine the relationship between central adiposity and intrarenal hemodynamic function in adults with long-standing type 1 diabetes with and without diabetic nephropathy (DN).

RESEARCH DESIGN AND METHODS

Patients with type 1 diabetes (n = 66, duration ≥50 years) and age-/sex-matched control subjects (n = 73) were studied. The cohort was stratified into 44 DN Resistors (estimated glomerular filtration rate [eGFR] >60 mL/min/1.73 m² and <30 mg/day urine albumin) and 22 patients with DN (eGFR ≤60 mL/min/1.73 m² or ≥30 mg/day urine albumin). Intrarenal hemodynamic function (glomerular filtration rate for inulin [GFR_INULIN], effective renal plasma flow for p-aminohippuric acid [ERPF_PAH]) was measured. Afferent arteriolar resistance, efferent arteriolar resistance, renal blood flow, renal vascular resistance [RVR], filtration fraction, and glomerular pressure were derived from the Gomez equations. Fat and lean mass were quantified by DXA.

RESULTS

Whereas measures of adiposity did not associate with GFR_INULIN or ERPF_PAH in healthy control subjects, trunk fat mass inversely correlated with GFR_INULIN (r = -0.46, P < 0.0001) and ERPF_PAH (r = -0.31, P = 0.01) and positively correlated with RVR (r = 0.53, P = 0.0003) in type 1 diabetes. In analyses stratified by DN status, greater central adiposity related to lower GFR_INULIN values in DN and DN Resistors, but the relationships between central adiposity and ERPF_PAH and RVR were attenuated and/or reversed in patients with DN compared with DN Resistors.

CONCLUSIONS

The adiposity-intrarenal hemodynamic function relationship may be modified by the presence of type 1 diabetes and DN, requiring further study of the mechanisms by which adiposity influences renal hemodynamic function.

Type 1 Diabetes and Non-Alcoholic Fatty Liver Disease: When Should We Be Concerned? A Nationwide Study in Brazil

Obesity is increasing worldwide, affecting even patients with type 1 diabetes (T1D). A higher prevalence of associated comorbidities is expected, such as non-alcoholic fatty liver disease (NAFLD). This paper reports a cross-sectional multicenter study on a population with T1D (n = 1662), which aimed to evaluate the prevalence of metabolic syndrome (MS), a known risk factor for NAFLD, and to investigate predisposing factors associated with MS, as well as factors associated with elevated alanine aminotransferase (ALT), as it correlates to liver fat content. Patients were from 14 public clinics of 10 cities from all geographical regions of Brazil. A high prevalence of MS was found, especially among adults (32.3%), and this was related to age, female gender, acid uric levels, and the presence of acanthosis nigricans. ALT above the normal range was associated with triglyceride levels (especially above 129.5 mg/dL), serum uric acid, age, male gender, HbA1c, and non-Caucasian ethnicity. Patients with T1D, metabolic syndrome, and the aforementioned factors may be at a higher risk of NAFLD and should be referred to ultrasound for NAFLD evaluation. Further studies are necessary to establish the prevalence of NAFLD in individuals with T1D and to determine the disease’s progression in these patients.

Correlates of overweight and obesity in 5529 adolescents with type 1 diabetes: The T1D Exchange Clinic Registry

AIMS

To describe the prevalence of overweight and obesity in adolescents with type 1 diabetes (T1D) and to examine the associations among socio-demographic, clinical, and self-management factors by weight status.

METHODS

We analyzed baseline data obtained from 5529 adolescents with T1D (mean age=15.4±1.4years, 51.8% male, 77.9% white, mean HbA1c=8.7±1.8%; 72mmol/mol) from the T1D Exchange Clinic Registry. We examined correlates of weight status using multinomial logistic regression analyses.

RESULTS

Overweight (22.9%) and obesity (13.1%) were prevalent in the overall sample and was highest among girls (40.8%) and adolescents of Hispanic/Latino race/ethnicity (46.1%). Female gender, older age, annual household income <$35,000 (vs. ≥$200,000), high school parental educational attainment (vs. ≥graduate degree), lower HbA1c, longer duration of T1D, higher amount of insulin, and a recent visit with an allied healthcare provider were independently and significantly associated with higher odds of overweight or obesity. Adolescents who self-rated their health as fair/poor (vs. excellent) had the highest odds of obesity (OR 3.92, 95% CI 2.53-6.06).

CONCLUSIONS

Overweight/obesity is prevalent among adolescents with T1D, especially among girls and those of diverse race/ethnicity. Some of these factors may be amenable to remediation and point to subgroups that can benefit from obesity prevention and management efforts.

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.

Challenges and Opportunities in the Management of Cardiovascular Risk Factors in Youth With Type 1 Diabetes: Lifestyle and Beyond

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in persons with type 1 diabetes (T1D). Specific risk factors associated with diabetes, such as hyperglycemia and kidney disease, have been demonstrated to increase the incidence and progression of CVD. Nevertheless, few data exist on the effects of traditional risk factors such as dyslipidemia, obesity, and hypertension on CVD risk in youth with T1D. Improvements in understanding and approaches to the evaluation and management of CVD risk factors, specifically for young persons with T1D, are desirable. Recent advances in noninvasive techniques to detect early vascular damage, such as the evaluation of endothelial dysfunction and aortic or carotid intima-media thickness, provide new tools to evaluate the progression of CVD in childhood. In the present review, current CVD risk factor management, challenges, and potential therapeutic interventions in youth with T1D are described.

Cardiovascular disease and type 1 diabetes: prevalence, prediction and management in an ageing population

Cardiovascular disease (CVD) is a major cause of mortality in type 1 diabetes mellitus (T1D). However, evidence of its risks and management is often extrapolated from studies in type 2 diabetic (T2D) patients or the general population. This approach is unsatisfactory given that the underlying pathology, demographics and natural history of the disease differ between T1D and T2D. Furthermore, with a rising life expectancy, a greater number of T1D patients are exposed to the cardiovascular (CV) risk factors associated with an ageing population. The aim of this review is to examine the existing literature around CVD in T1D. We pay particular attention to CVD prevalence, how well we manage risk, potential biomarkers, and whether the studies included the older aged patients (defined as aged over 65). We also discuss approaches to the management of CV risk in the older aged. The available data suggest a significant CVD burden in patients with T1D and poor management of CV risk factors. This is underpinned by a poor evidence base for therapeutic management of CV risk specifically for patients with T1D, and in the most relevant population - the older aged patients. We would suggest that important areas remain to be addressed, particularly exploring the risks and benefits of therapeutic approaches to CVD management in the older aged.