Obesity in Youth with Type 1 Diabetes in Germany, Austria, and the United States

Trends in obesity and glucagon-like peptide-1 receptor agonist prescriptions in type 1 diabetes in the United States

AIMS

To characterize trends in obesity and prescriptions for glucagon-like peptide-1 receptor agonists (GLP-1RAs) across body mass index (BMI) categories among US youth and adults with type 1 diabetes (T1D) from 2008 to 2023.

MATERIALS AND METHODS

Patients with T1D were identified using a validated algorithm using de-identified electronic health record (EHRs) data from 33 US health systems. BMI categories were based on age- and sex-specific percentiles for youth (2-19 years) and World Health Organization cut points for adults (≥20 years). Trends in obesity and GLP1-RA prescriptions were characterized by BMI categories among youth and adults with T1D from 2008-2011 to 2020-2023.

RESULTS

From 2008-2011 to 2020-2023, the prevalence of obesity among youth with T1D increased from 18.1% (95% confidence interval [CI], 17.3%-18.9%) to 26.0% (25.2%-26.8%) (p-for-trend < 0.001). Among adults with T1D, the prevalence of obesity rose from 30.5% (30.0%-31.0%) in 2008-2011 to 38.1% (37.8%-38.5%) in 2020-2023 (p-for-trend < 0.001). Obesity was highest in Black and Hispanic youth and adults, and racial and ethnic disparities persisted over time. Over the last 15-year period, GLP-1RA prescriptions significantly increased across all BMI categories in a dose-response manner among both youth and adults with T1D (all p-for-trend < 0.001).

CONCLUSIONS

Over the last 15-year period, obesity has reached epidemic levels in US youth and adults with T1D, with significant disparities among racial and ethnic minoritized populations. These findings, coupled with the increase in GLP-1RA prescriptions, underscore the urgent need for data on GLP-1RAs' safety and effectiveness and guidance for obesity management in T1D.

Patient Characteristics Associated With Annual Nutrition Visits in Children With Type 1 Diabetes

Objective

Diabetes organizations recommend nutrition education by a registered dietitian (RD) at least annually following type 1 diabetes (T1D) diagnosis in children. The study objectives were to describe differences over time in annual RD follow-up in children with T1D and to identify patient characteristics associated with RD engagement.

Research Design and Methods

Data based on 6034 completed diabetes medical visits among 1982 patients aged <18 years with T1D for ≥1 year followed at a pediatric, tertiary care, academic medical center over a 5-year period (2018-2022) were analyzed. Generalized estimating equations models assessed for differences over time in the rates of RD visit completion in the year preceding the last diabetes medical encounter and identified sociodemographic, diabetes care-related, and clinical patient characteristics associated with RD follow-up. Models were fit for the whole sample and groups subset by race and ethnicity.

Results

Observed annual RD follow-up rate over the 5-year period was 20.8%, with the lowest adjusted percentage in 2021 compared to 2018. In multivariable analysis, for each year increase in age (p = 0.004) and diabetes duration (p<0.001), there was a 3% and 15% reduction in the odds of RD follow-up, respectively. RD follow-up was associated with lower hemoglobin A1c within the subsequent year in adjusted analysis (p = 0.029), with the greatest improvement among Hispanic patients.

Conclusions

Annual RD visit frequency among children with T1D is suboptimal. Study findings provide insights for targeted intervention to improve RD engagement. RD follow-up may be associated with improved glycemic outcomes.

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.

American Diabetes Association Professional Practice Committee, ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Echouffo-Tcheugui JB, Ekhlaspour L, Garg R, Khunti K, Lal R, Lingvay I, Matfin G, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Srinivasan S, Stanton RC, Bannuru RR. 14. Children and Adolescents: Standards of Care in Diabetes-2025

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Random C-Peptide and Islet Antibodies at Onset Predict β Cell Function Trajectory and Insulin Dependence in Pediatric Diabetes

OBJECTIVE

Identification of prognostic biomarkers in pediatric diabetes is important for precision medicine. We assessed whether C-peptide and islet autoantibodies are useful to predict the natural history of children with new-onset diabetes.

METHODS

We prospectively studied 72 children with new-onset diabetes (median follow-up: 8 months) by applying the Aβ classification system ("A+": islet autoantibody positive, "β+": random serum C-peptide ≥1.3 ng/mL at diagnosis). Beta-cell function was assessed longitudinally with 2 hours postprandial/stimulated urinary C-peptide-to-creatinine ratio (UCPCR) 3-12 weeks (V1) and 6 to 12 months after diagnosis (V2). We obtained a type 1 diabetes genetic risk score for each participant, and compared characteristics at baseline, and clinical outcomes at V2.

RESULTS

The cohort was 50% male. Racial distribution was 76.4% White, 20.8% Black, and 2.8% Asian or other races. A total of 46.5% participants were Hispanic. Median age (Q1-Q3) was 12.4 (8.3-14.5) years. The Aβ subgroup frequencies were 46 A+β-(63.9%), 1 A-β-(1.4%), 4 A+β+(5.6%), and 21 A-β+(29.2%). Baseline serum C-peptide correlated with UCPCR at both V1 (r = 0.36, P = .002) and V2 (r = 0.47, P < .001). There were significant subgroup differences in age, race, frequency of diabetic ketoacidosis, and type 1 diabetes genetic risk score (P < .01). At V2, the 2 β-subgroups had lower UCPCR and higher hemoglobin A1c compared with the 2 β+ subgroups (P < .001 and P = .02, respectively). Thirty-eight percent of A-β+ but none of the other subgroups were insulin-independent at V2 (P < .001).

CONCLUSION

C-peptide and islet autoimmunity at diagnosis define distinct phenotypes and predict beta-cell function and insulin dependence 6 to 12 months later in racially/ethnically diverse children with new-onset diabetes.

Variability in Body Mass Index during 2018-2021 for People with Type 1 Diabetes: Real World Data from the USA, Germany, and Australasia

INTRODUCTION

The COVID-19 pandemic necessitated worldwide lockdowns in 2020 and 2021, with restrictions on physical activity and changes in eating habits. The aim of this study was to investigate temporal trends in body mass index (BMI) and BMI Standard Deviation Score (SDS) in three international type 1 diabetes (T1D) registries between 2018 and 2021.

METHODS

Data were extracted from DPV (Germany/Austria/Luxembourg/Switzerland), T1D Exchange Quality Improvement Collaborative (T1DX-QI, USA), and the Australasian Diabetes Data Network (ADDN, Australia/New Zealand). The period affected by the COVID-19 pandemic was defined as March to December 2020 and March to December 2021 and compared with the respective 9-month periods in 2018 and 2019. Estimated mean BMI (adults ≥19 years) and WHO BMI SDS (children and adolescents 5 to <19 years) were calculated, adjusted for sex, age, HbA1c, and diabetes duration. Adjusted mean proportions overweight (BMI ≥25 in adults or BMI SDS >1 in children and adolescents 5 to <19 years) and obese (BMI ≥30 kg/m2 or BMI SDS >2 in children and adolescents 5 to <19 years) were also calculated, adjusted for sex, age, HbA1c, and diabetes duration.

RESULTS

The study population comprised: ADDN (n = 14,624, median age 15.7 years, 51% male); DPV (n = 62,732, 16.1 years, 53.3% male); and T1DX-QI (n = 22,942, 17.1 years, 52.1% male). In the DPV registry, BMI SDS in children and adolescents and BMI in adults increased consistently between 2018 and 2021 (p < 0.001). In ADDN and T1DX-QI, variable changes in BMI and BMI SDS were seen in adults and young people. Close to 50% of people in all registries were either overweight or obese. Proportions overweight remained relatively stable across the 4 years. The proportion of obesity increased in children 5 to <10 years.

CONCLUSIONS

A slight increase in BMI and BMI SDS observed before the pandemic continued during the pandemic years. The proportion of overweight and obesity was overall high. Healthy weight remains a priority for people with T1D.

Trends in BMI in Latin American Children With New-Onset Type 1 Diabetes Over 3 Years

This article reports the trends in BMI z score (z-BMI) and their correlation with insulin dose and A1C in children with new-onset type 1 diabetes from several Latin American centers. The researchers observed a significant increase in the z-BMI from type 1 diabetes onset through the 3-year follow-up, with insulin dose as a significant covariate. Although insulin doses steadily increased, their impact on A1C did not appear to be optimal (mean A1C 8.7%).

Change in Body Mass Index in Youth in the First 5 Years After Type 1 Diabetes Mellitus Diagnosis

OBJECTIVE

Examine body mass index (BMI) trajectories in American youth with type 1 diabetes (T1D) over the first 5 years following diagnosis.

METHODS

Retrospective record review of BMI trajectories in youth with T1D diagnosed in 2015 to 2016.

RESULTS

Near the time of diabetes diagnosis, 35.5% of youth had BMIs in the overweight/obesity range. These rates increased over time (P < .001), with 52.8% having overweight/obesity 5 years after diagnosis. Average age when BMI rose from healthy to overweight/obese or overweight to obese (rise group) was at 12.7 years, occurring 2.5 years after diagnosis. There were no differences between hemoglobin A1c, use of continuous glucose monitors, or use of insulin pumps between the rise group and those with healthy BMI throughout the study period.

CONCLUSIONS

Alarmingly high rates of overweight/obesity in youth were observed within 5 years following T1D diagnosis. Awareness and further research are necessary to address this independent risk factor for morbidities.

Risk factors for suboptimal glycemic control in pediatrics with type 1 diabetes mellitus: a cross-sectional study

The objective of this research is to analyze the influence of various factors on glycemic control in pediatrics with type 1 diabetes mellitus (T1DM). The study, a cross-sectional analysis, involved 221 T1DM patients below 18 years old who visited our clinic between 2011 and 2020, predating the COVID-19 outbreak. Out of the initial pool, 204 participants were chosen based on specific criteria. By computing odds ratios and 95% confidence intervals, we determined the correlation between these factors and achieving optimal glycemic control (HbA1c < 7.5%). Of the 204 individuals, 55.9% (113 patients) were female. The average age at diagnosis was 6.93 ± 3.9 years. Mean HbA1c (A1C) level of optimal and suboptimal groups were 6.97, 95% CI 6.84 to 7.1 and 8.86, 95% CI 8.68 to 9.03, respectively (p-value < 0.001). Fifty patients had optimal glycemic control and 154 people experienced suboptimal glycemic control during the follow-up that the prevalence of each of them was 24.51, 95% CI 18.7 to 31 and 75.49, 95% CI 68.99 to 81.22, respectively. In the assessment of risk factors associated with suboptimal glycemic control, patients aged 10-14 years had the highest likelihood of experiencing suboptimal glycemic control (crude odds ratio [COR] 3.12, 95% CI 1.04 to 9.3), followed by duration of diabetes (COR 2.85, 95% CI 1.2 to 6.8), which both were significant. By utilizing multivariable logistic regression analysis, a noteworthy finding emerged. It was revealed that patients aged 10-14 years exhibited a significant association with suboptimal glycemic control, [adjusted odds ratio (AOR) 4.85, 95% CI 1.32 to 17.7]. Additionally, a statistically significant correlation was identified between individuals with a body mass index (BMI) falling within the ≥ 95th percentile category and suboptimal glycemic control, Cramer's V = 0.21, p-value = 0.01. Our research has revealed a significant correlation between patients aged 10-14 years and obese individuals (BMI ≥ 95th) with suboptimal glycemic control. It is crucial to consider these factors as they can offer valuable insights during diagnosis, highlighting the increased risk of long-term suboptimal glycemic control.

Phenotype and predictors of insulin independence in adults presenting with diabetic ketoacidosis: a prospective cohort study

AIMS/HYPOTHESIS

The aim of this work was to describe the phenotype of adults presenting with a first episode of diabetic ketoacidosis (DKA) in Cape Town, South Africa, and identify predictors of insulin independence at 12 and 60 months after presentation.

METHODS

A prospective, descriptive cohort study of all individuals, 18 years or older, presenting for the first time with DKA to four public-sector hospitals of the Groote Schuur Academic Health Complex was performed. Clinical, biochemical and laboratory data including GAD antibody and C-peptide status were collected at baseline. Insulin was systematically weaned and stopped in individuals who achieved normoglycaemia within the months after DKA. Individuals were followed for 12 months and then annually until 5 years after initial presentation with ketoacidosis.

RESULTS

Eighty-eight individuals newly diagnosed with diabetes when presenting with DKA were included and followed for 5 years. The mean ± SD age was 35±10 years and the median (IQR) BMI at diagnosis was 28.5 (23.3-33.4) kg/m2. Overall, 46% were insulin independent 12 months after diagnosis and 26% remained insulin independent 5 years after presentation. Forty-one participants (47%) tested negative for anti-GAD and anti-IA-2 antibodies and had C-peptide levels >0.3 nmol/l; in this group, 68% were insulin independent at 12 months and 37% at 5 years after diagnosis. The presence of acanthosis nigricans was strongly associated with insulin independence (OR 27.1 [95% CI 7.2, 102.2]; p<0.001); a positive antibody status was associated with a lower likelihood of insulin independence at 12 months (OR 0.10 [95% CI 0.03, 0.36]; p<0.001). On multivariable analysis only acanthosis (OR 11.5 [95% CI 2.5, 53.2]; p=0.004) was predictive of insulin independence 5 years after diagnosis.

CONCLUSIONS/INTERPRETATION

The predominant phenotype of adults presenting with a first episode of DKA in Cape Town, South Africa, was that of ketosis-prone type 2 diabetes. These individuals presented with obesity, acanthosis nigricans, negative antibodies and normal C-peptide and could potentially be weaned off insulin at follow-up. Classic type 1 diabetes (lower weight, antibody positivity, low or unrecordable C-peptide levels and long-term insulin dependence) was less common. The simple clinical sign of acanthosis nigricans is a strong predictor of insulin independence at 12 months and 5 years after initial presentation.

Diabetes Study of Children of Diverse Ethnicity and Race: Study design

AIMS

Determining diabetes type in children has become increasingly difficult due to an overlap in typical characteristics between type 1 diabetes (T1D) and type 2 diabetes (T2D). The Diabetes Study in Children of Diverse Ethnicity and Race (DISCOVER) programme is a National Institutes of Health (NIH)-supported multicenter, prospective, observational study that enrols children and adolescents with non-secondary diabetes. The primary aim of the study was to develop improved models to differentiate between T1D and T2D in diverse youth.

MATERIALS AND METHODS

The proposed models will evaluate the utility of three existing T1D genetic risk scores in combination with data on islet autoantibodies and other parameters typically available at the time of diabetes onset. Low non-fasting serum C-peptide (<0.6 nmol/L) between 3 and 10 years after diabetes diagnosis will be considered a biomarker for T1D as it reflects the loss of insulin secretion ability. Participating centres are enrolling youth (<19 years old) either with established diabetes (duration 3-10 years) for a cross-sectional evaluation or with recent onset diabetes (duration 3 weeks-15 months) for the longitudinal observation with annual visits for 3 years. Cross-sectional data will be used to develop models. Longitudinal data will be used to externally validate the best-fitting model.

RESULTS

The results are expected to improve the ability to classify diabetes type in a large and growing subset of children who have an unclear form of diabetes at diagnosis.

CONCLUSIONS

Accurate and timely classification of diabetes type will help establish the correct clinical management early in the course of the disease.

Final height in children and adolescents with type 1 diabetes mellitus: A systematic review and meta-analysis

PURPOSE

Considering the high prevalence of type 1 diabetes mellitus (T1DM) together with the importance of improved physical growth and the significance of promoting healthcare quality among T1DM children, this meta-analysis aims to determine mean final height in this population group.

METHODS

We systematically searched PubMed, EMBASE, Web of Science, Scopus, and Cochrane databases for all studies published until May 2023 and reviewed references of published articles. Meta-analytic procedures were used to estimate the effect size (mean final height Z-score) among T1DM children in a random effects model. Significance values, weighted effect sizes, 95% CIs, and tests of homogeneity of variance were calculated. The included studies consisted of data from 3274 patients.

RESULTS

The mean final height Z-score for T1DM children was -0.201 (n = 25 studies, 95% CI: -0.389, -0.013; I2 = 97%), -0.262 in males (n = 20 studies, 95% CI: -0.539, 0.015, I2 = 97.1%), and -0.218 in females (n = 18 studies, 95% CI: -0.436, 0, I2 = 94.2%). The non-significant negative association between age at diagnosis, HbA1c levels, and final height Z-score is suggested by the findings of the univariate meta-regression.

CONCLUSION

Our findings indicated that children with T1DM have impaired linear growth and that monitoring of growth in these patient populations is an important issue in the management of T1DM. Due to a scarcity of studies providing data on the relationship between uncontrolled diabetes (increased HbA1c) and early diagnosis and final height, further investigation is warranted to determine whether there is indeed a correlation. Consequently, any conclusion regarding the association between uncontrolled diabetes (elevated HbA1c), early diagnosis of T1DM, and the increased risk of impaired linear growth or final height remains uncertain.

Muscle-to-fat ratio in children and adolescents with type 1 diabetes in predicting glycaemic control and partial clinical remission

BACKGROUND

Advances in treatment could mitigate the expected adverse changes in the body composition of children and adolescents with type 1 diabetes (T1D).

OBJECTIVES

To examine the evolution of weight status and body composition and their association with glycaemic control and partial clinical remission in youth with T1D.

METHODS

Ninety-nine participants with T1D (median age 9.5 years [interquartile range 7.3, 12.9], 59.6% boys) were longitudinally followed for 3 years since diagnosis. Data at seven pre-determined time points were extracted from medical files. Outcome measures included body mass index (BMI) z-scores, muscle-to-fat ratio (MFR) z-scores, haemoglobin A1c (HbA1c) levels, continuous glucose monitoring metrics, and insulin dose-adjusted HbA1c (IDAA1c) levels.

RESULTS

The BMI z-scores increased significantly (p < 0.001) for both sexes, with no significant change in MFR z-scores over time. The girls had higher BMI z-scores (p < 0.001) and lower MFR z-scores than the boys (p = 0.016). The mean HbA1c levels decreased during the first month and at 3 months since diagnosis (p < 0.001), then plateaued and achieved a median overall HbA1c of 7.1% for the entire cohort. At 12 months, 37 participants (37.6%) were in partial clinical remission, as evidenced by IDAA1c ≤ 9. The odds of partial clinical remission at 2 years increased by 2.1-fold for each standard deviation increase in the MFR z-score (p < 0.001). Higher MFR z-scores were associated with better metabolic control.

CONCLUSIONS

Integration of body composition assessments could mitigate adverse body changes in paediatric patients with T1D.

HOMA-IR and the Matsuda Index as predictors of progression to type 1 diabetes in autoantibody-positive relatives

AIM/HYPOTHESIS

We assessed whether HOMA-IR and the Matsuda Index are associated with transitions through stages of type 1 diabetes.

METHODS

Autoantibody (AAb)-positive relatives of individuals with type 1 diabetes (n=6256) from the TrialNet Pathway to Prevention were studied. Associations of indicators of insulin resistance (HOMA-IR) and insulin sensitivity (Matsuda Index) with BMI percentile (BMIp) and age were assessed with adjustments for measures of insulin secretion, Index60 and insulinogenic index (IGI). Cox regression was used to determine if tertiles of HOMA-IR and Matsuda Index predicted transitions from Not Staged (<2 AAbs) to Stage 1 (≥2 AAbs and normoglycaemia), from Stage 1 to Stage 2 (≥2 AAbs with dysglycaemia), and progression to Stage 3 (diabetes as defined by WHO/ADA criteria).

RESULTS

There were strong associations of HOMA-IR (positive) and Matsuda Index (inverse) with baseline age and BMIp (p<0.0001). After adjustments for Index60, transitioning from Stage 1 to Stage 2 was associated with higher HOMA-IR and lower Matsuda Index (HOMA-IR: HR=1.71, p<0.0001; Matsuda Index, HR=0.40, p<0.0001), as with progressing from Stages 1 or 2 to Stage 3 (HOMA-IR: HR=1.98, p<0.0001; Matsuda Index: HR=0.46, p<0.0001). Without adjustments, associations of progression to Stage 3 were inverse for HOMA-IR and positive for Matsuda Index, opposite in directionality with adjustments. When IGI was used in place of Index60, the findings were similar.

CONCLUSIONS/INTERPRETATION

Progression to Stages 2 and 3 of type 1 diabetes increases with HOMA-IR and decreases with the Matsuda Index after adjustments for insulin secretion. Indicators of insulin secretion appear helpful for interpreting associations of progression to type 1 diabetes with HOMA-IR or the Matsuda Index in AAb-positive relatives.

Identification of factors associated with the management of childhood obesity: Results from a French pediatric cohort study

BACKGROUNDS

Childhood obesity is a real public health concern because of its association with a higher risk of adulthood obesity and comorbidities (metabolic, cardiovascular, etc.). The factors associated with the effectiveness of care are poorly described. The objective of this study was to identify factors associated with body mass index (BMI) variation in the management of childhood obesity.

MATERIAL AND METHODS

Children followed up for obesity in the Pediatric Endocrinology Department of the University Children Hospital of Nancy were included. Data were retrospectively collected in medical files. The characteristics of patients with a decrease in BMI (in standard deviation score, SDS) were compared with patients with an increased BMI (SDS)after 1 year of follow-up through univariate analysis.

RESULTS

Overall, 141 patients were included, and for 107 patients (55 girls and 52 boys) there were 1-year follow-up data. The mean BMI variation after 1 year of follow-up was-0.068 SD and for 63 patients (58.9%) there was a decrease in BMI SDS. Female patients (66% vs. 41%, p=0.012), hypercholesterolemia (33% vs. 4%, p=0.049), and type 1 diabetes (14% vs. 2%, p=0.019) were more frequent in patients with an unfavorable evolution of BMI SDS at 1 year. A family history of bariatric surgery (36% vs. 11%, p=0.042) or eating behavior disorders (76% vs. 24% of patients; p<0.001) or diabetes (1st or 2nd degree;81% vs. 60%, p=0.044) were also more frequent in children with an unfavorable evolution of BMI SDS at 1 year.

CONCLUSION

Several negative factors in the evolution of BMI were identified such as female sex, hypercholesterolemia, family history of bariatric surgery, or eating behavior. Early identification of these patients at risk of failure of obesity management is important to control BMI during childhood.

American Diabetes Association Professional Practice Committee, ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 14. Children and Adolescents: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Approach to the Patient: Youth-Onset Type 2 Diabetes

Youth-onset type 2 diabetes is a growing epidemic with a rising incidence worldwide. Although the pathogenesis and diagnosis of youth-onset type 2 diabetes are similar to adult-onset type 2 diabetes, youth-onset type 2 diabetes is unique, with greater insulin resistance, insulin hypersecretion, and faster progression of pancreatic beta cell function decline. Individuals with youth-onset type 2 diabetes also develop complications at higher rates within short periods of time compared to adults with type 2 diabetes or youth with type 1 diabetes. The highest prevalence and incidence of youth-onset type 2 diabetes in the United States is among youth from minoritized racial and ethnic groups. Risk factors include obesity, family history of type 2 diabetes, comorbid conditions and use of medications associated with insulin resistance and rapid weight gain, socioeconomic and environmental stressors, and birth history of small-for-gestational-age or pregnancy associated with gestational or pregestational diabetes. Patients with youth-onset type 2 diabetes should be treated using a multidisciplinary model with frequent clinic visits and emphasis on addressing of social and psychological barriers to care and glycemic control, as well as close monitoring for comorbidities and complications. Intensive health behavior therapy is an important component of treatment, in addition to medical management, both of which should be initiated at the diagnosis of type 2 diabetes. There are limited but growing pharmacologic treatment options, including metformin, insulin, glucagon-like peptide 1 receptor agonists, and sodium-glucose cotransporter 2 inhibitors. Although long-term outcomes are not fully known, metabolic/bariatric surgery in youth with type 2 diabetes has led to improved cardiometabolic outcomes.

Catabolism of fats and branched-chain amino acids in children with Type 1 diabetes: Association with glycaemic control and total daily insulin dose

OBJECTIVE

Hyperglycaemia in Type 1 diabetes (T1D) results from an absolute insulin deficiency. However, insulin resistance (IR) may exacerbate glycaemic instability in T1D and contribute to long-term cardiovascular complications. We previously showed that IR in teenagers with obesity is associated with sex-dependent derangements in the catabolism of branched-chain amino acids (BCAA) and fatty acids. Here we hypothesized that byproducts of BCAA and fatty acid metabolism may serve as biomarkers or determinants of glycaemic control and IR in prepubertal or early pubertal children with T1D.

METHODS

Metabolites, hormones and cytokines from fasting blood samples were analysed in 28 children (15 females, 13 males; age 6-11 years) with T1D. Principal components analysis (PCA) and multiple linear regression models were used to correlate metabolites of interest with glycaemic control, total daily insulin dose (TDD, units/kg/d), adiponectin and the triglyceride (TG) to high-density lipoprotein (HDL) ratio.

RESULTS

Males and females were comparable in age, BMI-z, insulin sensitivity, glycaemic control, inflammatory markers, BCAAs and C2/C3/C5-acylcarnitines. The majority of components retained in PCA were related to fatty acid oxidation (FAO) and BCAA catabolism. HbA1c correlated positively with Factor 2 (acylcarnitines, incomplete FAO) and Factor 9 (fasting glucose). TDD correlated negatively with C3 and C5 and Factor 10 (BCAA catabolism) and positively with the ratio of C2 to C3 + C5 and Factor 9 (fasting glucose).

CONCLUSIONS

These findings suggest that glucose intolerance in prepubertal or early pubertal children with T1D is accompanied by incomplete FAO while TDD is associated with preferential catabolism of fats relative to amino acids.

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.

Basal and Bolus Insulin Distribution According to Treatment Modality: Data from SWEET Diabetes Registry

Background and Aims

The optimal basal and bolus insulin distribution in type 1 diabetes (T1D) is still controversial. Herein, we aimed to determine the variability of basal to total daily insulin dose according to treatment modality and diabetes technologies from the Better Control in Pediatric and Adolescent Diabetes: Working to Create Centers of Reference (SWEET) registry. Methods. The study cohort was generated by using the SWEET database. Patients with T1D for at least 2 years, aged between 2.5 and 18 years, with at least one clinic visit between June 2010 and June 2021, were included in the study. Four groups were composed according to treatment modality as follows: multiple daily injections (MDI) without continuous glucose monitoring (CGM); MDI with CGM; subcutaneous insulin infusion (CSII) without CGM; and CSII with CGM. Data of the participants were analyzed and compared for each treatment modality separately.

Results

A total of 38,956 children and adolescents were included in the study. Of the study sample, 48.6% were female, the median (range) age was 15.2 (11.9-17.2) years, and the median diabetes duration was 6.0 (3.8-9.0) years. The distribution of treatment modality was as follows: MDI without CGM, 32.9%; MDI with CGM, 18.0%; CSII without CGM, 11.7%; and CSII with CGM, 37.3%. In unadjusted data, regardless of treatment modality, all the analyses revealed a significant association between basal dose to total daily insulin dose (BD/TDD) with male gender, younger age group, and lower HbA1c, which were all related to a decreased ratio of BD/TDD (all p < 0.05). There was no association between BD/TDD and different diabetes technologies after the age, gender, and diabetes duration were adjusted.

Conclusions

Herein, we showed that there was an association between lower proportions of basal to total insulin and lower hemoglobin A1c in a large cross-sectional cohort of children who had T1D. There was also an association between lower BD/TDD and younger age. There was no significant difference between BD/TDD ratios under different diabetes technologies (CGM and/or CSII).

An Overview of Diet and Physical Activity for Healthy Weight in Adolescents and Young Adults with Type 1 Diabetes: Lessons Learned from the ACT1ON Consortium

The prevalence of overweight and obesity in young people with type 1 diabetes (T1D) now parallels that of the general population. Excess adiposity increases the risk of cardiovascular disease, which is already elevated up to 10-fold in T1D, underscoring a compelling need to address weight management as part of routine T1D care. Sustainable weight management requires both diet and physical activity (PA). Diet and PA approaches must be optimized towards the underlying metabolic and behavioral challenges unique to T1D to support glycemic control throughout the day. Diet strategies for people with T1D need to take into consideration glycemic management, metabolic status, clinical goals, personal preferences, and sociocultural considerations. A major barrier to weight management in this high-risk population is the challenge of integrating regular PA with day-to-day management of T1D. Specifically, exercise poses a substantial challenge due to the increased risk of hypoglycemia and/or hyperglycemia. Indeed, about two-thirds of individuals with T1D do not engage in the recommended amount of PA. Hypoglycemia presents a serious health risk, yet prevention and treatment often necessitates the consumption of additional calories, which may prohibit weight loss over time. Exercising safely is a concern and challenge with weight management and maintaining cardiometabolic health for individuals living with T1D and many healthcare professionals. Thus, a tremendous opportunity exists to improve exercise participation and cardiometabolic outcomes in this population. This article will review dietary strategies, the role of combined PA and diet for weight management, current resources for PA and glucose management, barriers to PA adherence in adults with T1D, as well as findings and lessons learned from the Advancing Care for Type 1 Diabetes and Obesity Network (ACT1ON).

A High Protein Diet Is Associated with Improved Glycemic Control Following Exercise among Adolescents with Type 1 Diabetes

Nutritional strategies are needed to aid people with type 1 diabetes (T1D) in managing glycemia following exercise. Secondary analyses were conducted from a randomized trial of an adaptive behavioral intervention to assess the relationship between post-exercise and daily protein (g/kg) intake on glycemia following moderate-to-vigorous physical activity (MVPA) among adolescents with T1D. Adolescents (n = 112) with T1D, 14.5 (13.8, 15.7) years of age, and 36.6% overweight or obese, provided measures of glycemia using continuous glucose monitoring (percent time above range [TAR, >180 mg/dL], time-in-range [TIR, 70-180 mg/dL], time-below-range [TBR, <70 mg/dL]), self-reported physical activity (previous day physical activity recalls), and 24 h dietary recall data at baseline and 6 months post-intervention. Mixed effects regression models adjusted for design (randomization assignment, study site), demographic, clinical, anthropometric, dietary, physical activity, and timing covariates estimated the association between post-exercise and daily protein intake on TAR, TIR, and TBR from the cessation of MVPA bouts until the following morning. Daily protein intakes of ≥1.2 g/kg/day were associated with 6.9% (p = 0.03) greater TIR and -8.0% (p = 0.02) less TAR following exercise, however, no association was observed between post-exercise protein intake and post-exercise glycemia. Following current sports nutrition guidelines for daily protein intake may promote improved glycemia following exercise among adolescents with T1D.

More hypoglycemia not associated with increasing estimated adiposity in youth with type 1 diabetes

BACKGROUND

Despite the widespread clinical perception that hypoglycemia may drive weight gain in youth with type 1 diabetes (T1D), there is an absence of published evidence supporting this hypothesis.

METHODS

We estimated the body fat percentage (eBFP) of 211 youth (HbA1c 8.0-13.0%, age 13-16) at baseline, 6, and 18 months of the Flexible Lifestyles Empowering Change trial using validated equations. Group-based trajectory modeling assigned adolescents to sex-specific eBFP groups. Using baseline 7-day blinded continuous glucose monitoring data, "more" vs. "less" percent time spent in hypoglycemia was defined by cut-points using sample median split and clinical guidelines. Adjusted logistic regression estimated the odds of membership in an increasing eBFP group comparing youth with more vs. less baseline hypoglycemia.

RESULTS

More time spent in clinical hypoglycemia (defined by median split) was associated with 0.29 the odds of increasing eBFP in females (95% CI: 0.12, 0.69; p = 0.005), and 0.33 the odds of stable/increasing eBFP in males (95% CI: 0.14, 0.78; p = 0.01).

CONCLUSIONS

Hypoglycemia may not be a major driver of weight gain in US youth with T1D and HbA1c ≥8.0. Further studies in different sub-groups are needed to clarify for whom hypoglycemia may drive weight gain and focus future etiological studies and interventions.

IMPACT

We contribute epidemiological evidence that hypoglycemia may not be a major driver of weight gain in US youth with type 1 diabetes and HbA1c ≥8.0% and highlight the need for studies to prospectively test this hypothesis rooted in clinical perception. Future research should examine the relationship between hypoglycemia and adiposity together with psychosocial, behavioral, and other clinical factors among sub-groups of youth with type 1 diabetes (i.e., who meet glycemic targets or experience a frequency/severity of hypoglycemia above a threshold) to further clarify for whom hypoglycemia may drive weight gain and progress etiological understanding of and interventions for healthy weight maintenance.

14. Children and Adolescents: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Exploring the determinants of mental health, wellbeing, and lifestyle in 8-11 year old children with type 1 diabetes and their healthy counterparts in Kuwait

Type 1 diabetes is a chronic disease with an early onset, but little is known about its psychological effects in middle childhood. The present study was the first to explore the relationship between mental health, wellbeing, and lifestyle of 8-11 years old children with Type 1 diabetes and their parents, and a healthy comparison group. A total of 200 parent-child dyads were recruited in diabetic clinics and from primary schools in Kuwait. Both groups completed a series of behavioural and physical assessments relating to health, wellbeing, and lifestyle. A significant relationship was found between higher Body Mass Index (BMI) and poorer mental health, including low academic self-esteem, depression, and anxiety, in the diabetes group. This group had significantly higher mean scores in mental health problems, and lower scores in wellbeing, compared with control group. Both groups had poor dietary habits and low levels of physical activity. Unlike previous studies, no differences were found between parents' mental health for children with Type 1 diabetes and parents of the control group. Although elevated problem scores on a variety of indices remained within normal range, the pattern of results indicates that children with diabetes would profit from early screening and preventative intervention to reduce the likelihood of psychological and behavioural difficulties later on.

The Intestinal Microbiota and Short-Chain Fatty Acids in Association with Advanced Metrics of Glycemia and Adiposity Among Young Adults with Type 1 Diabetes and Overweight or Obesity

Background

Comanagement of glycemia and adiposity is the cornerstone of cardiometabolic risk reduction in type 1 diabetes (T1D), but targets are often not met. The intestinal microbiota and microbiota-derived short-chain fatty acids (SCFAs) influence glycemia and adiposity but have not been sufficiently investigated in longstanding T1D.

Objectives

We evaluated the hypothesis that an increased abundance of SCFA-producing gut microbes, fecal SCFAs, and intestinal microbial diversity were associated with improved glycemia but increased adiposity in young adults with longstanding T1D.

Methods

Participants provided stool samples at ≤4 time points (NCT03651622: https://clinicaltrials.gov/ct2/show/NCT03651622). Sequencing of the 16S ribosomal RNA gene measured abundances of SCFA-producing intestinal microbes. GC-MS measured total and specific SCFAs (acetate, butyrate, propionate). DXA (body fat percentage and percentage lean mass) and anthropometrics (BMI) measured adiposity. Continuous glucose monitoring [percentage of time in range (70-180 mg/dL), above range (>180 mg/dL), and below range (54-69 mg/dL)] and glycated hemoglobin (i.e., HbA1c) assessed glycemia. Adjusted and Bonferroni-corrected generalized estimating equations modeled the associations of SCFA-producing gut microbes, fecal SCFAs, and intestinal microbial diversity with glycemia and adiposity. COVID-19 interrupted data collection, so models were repeated restricted to pre-COVID-19 visits.

Results

Data were available for ≤45 participants at 101 visits (including 40 participants at 54 visits pre-COVID-19). Abundance of Eubacterium hallii was associated inversely with BMI (all data). Pre-COVID-19, increased fecal propionate was associated with increased percentage of time above range and reduced percentage of time in target and below range; and abundances of 3 SCFA-producing taxa (Ruminococcus gnavus, Eubacterium ventriosum, and Lachnospira) were associated inversely with body fat percentage, of which two microbes were positively associated with percentage lean mass. Abundance of Anaerostipes was associated with reduced percentage of time in range (all data) and with increased body fat percentage and reduced percentage lean mass (pre-COVID-19).

Conclusions

Unexpectedly, fecal propionate was associated with detriment to glycemia, whereas most SCFA-producing intestinal microbes were associated with benefit to adiposity. Future studies should confirm these associations and determine their potential causal linkages in T1D.This study is registered at clinical.trials.gov (NCT03651622; https://clinicaltrials.gov/ct2/show/NCT03651622).

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.

Does the Gut Microbiome Play a Role in Obesity in Type 1 Diabetes? Unanswered Questions and Review of the Literature

Evidence suggests that type 1 diabetes (T1D) risk and progression are associated with gut bacterial imbalances. Children with either T1D or islet antibody positivity exhibit gut dysbiosis (microbial imbalance) characterized by lower gram-positive to gram-negative gut bacterial ratios compared to healthy individuals, leading to a pro-inflammatory milieu. In addition, specific gut microbiome changes, including increased virulence factors, elevated phage, prophage, and motility genes, and higher amplitude stress responses, have been identified in individuals who have or are progressing towards T1D. Additionally, gut microbiome differences are associated with and thought to contribute to obesity, a comorbidity that is increasingly prevalent among persons with T1D. Obesity in T1D is problematic because individuals with obesity progress faster to T1D, have reduced insulin sensitivity compared to their lean counterparts, and have higher risk of complications. Animal and human studies suggest higher relative abundance of bacterial taxa associated with changes in bile acid and short chain fatty acid biosynthesis in obesity. However, it is unknown to what extent the gut microbiome plays a role in obesity in T1D and these worse outcomes. In this review, we aim to evaluate potential gut microbiome changes and associations in individuals with T1D who are obese, highlighting the specific gut microbiome changes associated with obesity and with T1D development. We will identify commonalities and differences in microbiome changes and examine potential microbiota-host interactions and the metabolic pathways involved. Finally, we will explore interventions that may be of benefit to this population, in order to modify disease and improve outcomes.

Adolescents with type 1 diabetes can achieve glycemic targets on intensive insulin therapy without excessive weight gain

Introduction

The aim of this study was to compare glycemic control and body mass index standard deviation score (BMI‐SDS) before and after implementation of intensive insulin therapy using multiple daily injection (MDI) or continuous subcutaneous insulin infusion (CSII) in adolescents with type 1 diabetes (T1D) attending a large multidisciplinary paediatric diabetes clinic in Australia.

Methods

Prospective data were collected for cross‐sectional comparison of youth aged 10.0–17.9 years (n = 669) from routine follow‐up visits to the diabetes clinic in 2004, 2010, and 2016. Outcome measures included HbA1c; BMI‐SDS; and insulin regimen.

Results

BMI‐SDS remained stable between 2004 to 2016 in the 10–13 and 14–17 year age group (0.7 vs. 0.5, p = .12 and 0.7 vs. 0.7, p = .93, respectively). BMI‐SDS was not different across HbA1c groups; <53 mmol/mol (7.0%), 53 to <75 mmol/mol (<7.0 to <9.0%) and >75 mmol/mol (>9.0%) in 2004 (p = .873), 2010 (p = .10) or 2016 (p = .630). Mean HbA1c decreased from 2004 to 2016 in the 10–13 year (69 mmol/mol (8.4%) vs. 57 mmol/mol (7.4%), p = <.001) and 14–17 year group (72 mmol/mol (8.7%) vs. 63 mmol/mol (7.9%), p = <.001). Prior to the implementation of MDI and CSII in 2004 only 10% of 10–13 year olds and 8% of 14–17 year olds achieved the international target for glycemic control (HbA_1c 53 mmol/mol [<7.0%]). In 2016, this increased to 31% of 10–13 year olds and 21% of 14–17 year olds.

Conclusions

BMI‐SDS did not increase with the change to intensive insulin therapy despite a doubling in the number of adolescents achieving the recommended glycemic target of <7.0% (53 mmol/mol). HbA1c was not associated with weight gain.

Glucose-Lowering Therapy beyond Insulin in Type 1 Diabetes: A Narrative Review on Existing Evidence from Randomized Controlled Trials and Clinical Perspective

Background: In Type 1 diabetes (T1D), according to the most recent guidelines, the everyday glucose-lowering treatment is still restricted to the use of subcutaneous insulin, while multiple therapeutic options exist for Type 2 diabetes (T2D). Methods: For this narrative review we unsystematically screened PubMed and Embase to identify clinical trials which investigated glucose-lowering agents as an adjunct to insulin treatment in people with T1D. Published studies up to March 2022 were included. We discuss the safety and efficacy in modifying cardiovascular risk factors for each drug, the current status of research, and provide a clinical perspective. Results: For several adjunct agents, in T1D, the scientific evidence demonstrates improvements in HbA1c, reductions in the risk of hypoglycemia, and achievements of lower insulin requirements, as well as positive effects on cardiovascular risk factors, such as blood lipids, blood pressure, and weight. As the prevalence of obesity, the major driver for double diabetes, is rising, weight and cardiovascular risk factor management is becoming increasingly important in people with T1D. Conclusions: Adjunct glucose-lowering agents, intended to be used in T2D, bear the potential to beneficially impact on cardiovascular risk factors when investigated in the T1D population and are suggested to be more extensively considered as potentially disease-modifying drugs in the future and should be investigated for hard cardiovascular endpoints.

Eating Problems in Youths with Type 1 Diabetes During and After Lockdown in Italy: An 8-Month Follow-Up Study

Eighty-five youths with T1D and 176 controls aged 8–19 years were asked to complete online questionnaires (ChEAT and EAT-26) measuring disordered eating behaviors (DEBs) during (baseline) and after (8-month follow-up) the lockdown. DEB symptoms in all participants (especially younger than 13 years), glycemic control, and zBMI were found unchanged from baseline to follow-up (all p > .05). After 8 months, the ChEAT/EAT-26 critical score frequency decreased significantly in controls (p = .004), as was the score for the ChEAT/EAT-26’s Oral Control subscale in both groups (T1D: p = .005; controls: p = .01). Participants with T1D, especially those older than 13 years, had higher ChEAT/EAT-26 Dieting scores (p = .037) and lower ChEAT/EAT-26 Oral Control scores (p = .046) than controls. Unchanged DEB symptoms suggest that the COVID-19 restrictions did not significantly affect participants’ eating behaviors and that a general adaptation to the challenges of lockdown and other pandemic containment measures occurred in both T1D and control participants.

Changes from 1986 to 2018 in the prevalence of obesity and overweight, metabolic control and treatment in children with type 1 diabetes mellitus in a Mediterranean area of Southeast Spain

Background

In recent decades, a global increase in the prevalence of childhood overweight and obesity has been observed in children and adolescents with type 1 diabetes.

Methods

This retrospective, cross-sectional, population study examined three groups (1986, 2007, and 2018) of children and adolescents aged < 16 years diagnosed with type 1 diabetes. Overweight and obesity were defined according to the World Health Organization recommendations.

Results

The prevalence of overweight and obesity in diabetic children and adolescents was 30.2% (95% CI: 23.1–38.3). There was a significant increase from 1986 to 2007 (11.9% to 41.7%, p = 0.002) and from 1986 to 2018 (11.9% to 34.8%, p = 0.012), but no significant differences were found from 2007 to 2018 (41.7% to 34.8%, p = 0.492). The age at diagnosis was lower in the group with excess body mass (p = 0.037). No significant differences were observed in age (p = 0.690), duration of diabetes (p = 0.163), distribution according to sex (p = 0.452), metabolic control (HbA1c, p = 0.909), or insulin units kg/day (p = 0.566), between diabetic patients with overweight or obesity and those with normal weight. From 2007 to 2018, the use of insulin analogs (p = 0.009) and a higher number of insulin doses (p = 0.007) increased significantly, with no increase in the prevalence of overweight and obesity.

Conclusions

The prevalence of overweight and obesity in diabetic children and adolescents increased in the 1990s and the beginning of the twenty-first century, with stabilization in the last decade. Metabolic control and DM1 treatment showed no association with this trend.

Too Much Dietary Flexibility May Hinder, Not Help: Could More Specific Targets for Daily Food Intake Distribution Promote Glycemic Management among Youth with Type 1 Diabetes?

Average glycemic levels among youth with type 1 diabetes (T1D) have worsened in some parts of the world over the past decade despite simultaneous increased uptake of diabetes technology, thereby highlighting the persistent need to identify effective behavioral strategies to manage glycemia during this life stage. Nutrition is fundamental to T1D management. We reviewed the evidence base of eating strategies tested to date to improve glycemic levels among youth with T1D in order to identify promising directions for future research. No eating strategy tested among youth with T1D since the advent of flexible insulin regimens—including widely promoted carbohydrate counting and low glycemic index strategies—is robustly supported by the existing evidence base, which is characterized by few prospective studies, small study sample sizes, and lack of replication of results due to marked differences in study design or eating strategy tested. Further, focus on macronutrients or food groups without consideration of food intake distribution throughout the day or day-to-day consistency may partially underlie the lack of glycemic benefits observed in studies to date. Increased attention paid to these factors by future observational and experimental studies may facilitate identification of behavioral targets that increase glycemic predictability and management among youth with T1D.

Differences in insulin sensitivity in the partial remission phase of childhood type 1 diabetes; a longitudinal cohort study

AIMS

Studies suggest that type 1 diabetes (T1D) contributes to impaired insulin sensitivity (IS). Most children with T1D experience partial remission but the knowledge regarding the magnitude and implications of impaired IS in this phase is limited. Therefore, we investigate the impact of IS on the partial remission phase.

METHODS

In a longitudinal study of children and adolescents, participants were seen at three clinical visits during the first 14.5 months after diagnosis of T1D. Partial remission was defined as IDAA_1c (HbA_1c (%) + 4*daily insulin dose) ≤ 9. Beta-cell function was considered significant by a stimulated c-peptide > 300 pmol/L. Participants were characterized by (i) remission or non-remission and (ii) stimulated c-peptide levels above or below 300 pmol/L. IS, body mass index (BMI), total body fat, sex, age, pubertal status and ketoacidosis at onset were compared.

RESULTS

Seventy-eight children and adolescents aged 3.3-17.7 years were included. At 14.5 months post-diagnosis, 54.5% of the participants with stimulated c-peptide > 300 pmol/L were not in partial remission. Participants not in remission had significant lower IS 2.5 (p = 0.032), and 14.5 (p = 0.022) months after diagnosis compared to participants in partial remission with similar c-peptide levels. IS did not fluctuate during the remission phase.

CONCLUSIONS

A number of children and adolescents have impaired IS in the remission phase of paediatric T1D and are not in remission 14.5 months after diagnosis despite stimulated c-peptide > 300 pmol/L.

Association of Insulin Regimen and Estimated Body Fat Over Time among Youths and Young Adults with Type 1 Diabetes: The SEARCH for Diabetes in Youth Study

AIMS

To explore how changes in insulin regimen are associated with estimated adiposity over time among youths and young adults with type 1 diabetes and whether any associations differ according to sex.

MATERIALS AND METHODS

Longitudinal data were analyzed from youths and young adults with type 1 diabetes in the SEARCH for Diabetes in Youth study. Participants were classified according to insulin regimen categorized as exclusive pump ("pump only"), exclusive injections ("injections only"), injection-pump transition ("injections-pump"), or pump-injection transition ("pump-injections") for each follow-up visit completed. Estimated body fat percentage (eBFP) was calculated using validated equations. Sex-specific, linear mixed effects models examined the relationship between the insulin regimen group and change in eBFP during follow-up, adjusted for baseline eBFP, baseline insulin regimen, time-varying insulin dose, sociodemographic factors, and baseline HbA1c (≥9.0% vs. <9.0%).

RESULTS

The final sample included 284 females and 304 males, of whom 80% were non-Hispanic white with mean diagnosis age of 12.7 ± 2.4 years. In fully adjusted models for females, exclusive pump use over the study duration was associated with significantly greater increases in eBFP compared to exclusive use of injections (difference in rate of change = 0.023% increase per month, 95%CI = 0.01, 0.04). Injection-to-pump transitions and pump-to-injection transitions were also associated with greater increases in eBFP compared to exclusive use of injections (difference in rate of change = 0.02%, 95%CI = 0.004, 0.03, and 0.02%; 95%CI = 0.0001, 0.04, respectively). There was no relationship between the insulin regimen and eBFP among males.

CONCLUSIONS

Among females with type 1 diabetes, exclusive and partial pump use may have the unintended consequence of increasing adiposity over time compared to exclusive use of injections, independent of insulin dose.

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.

American Diabetes Association Professional Practice Committee. 14. Children and Adolescents: Standards of Medical Care in Diabetes-2022

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Glycemic control, depression, diabetes distress among adolescents with type 1 diabetes: effects of sex, race, insurance, and obesity

AIMS

To determine whether diabetes distress or depression screening better predict increased hemoglobin A1c (HbA1c) and to assess interactions with age, sex, race, obesity, and insurance status.

BACKGROUND

Diabetes distress is a negative emotional reaction to diabetes, diabetes complications, self-management demands, unresponsive providers, and/or poor interpersonal relationships. Guidelines recommend annual depression screening, however diabetes distress may be mistaken for depression.

METHOD

Depression (PHQ-9) and diabetes distress (PAID-T) scores from self-administered tests were studied in 313 patients with type 1 diabetes (T1D) between the ages of 13-17. Spearman correlations and robust rank order multivariable regression analysis were used to assess relationships to age, duration, HbA1c. Kruskal-Wallis test was used to assess differences between sexes, races, and insurance status. Receiver operator curves (ROC) were constructed to see whether PAID-T or PHQ-9 scores more closely predicted HbA1c greater than 9%.

RESULTS

HbA1c was more strongly correlated with PAID-T (r_s = 0.37, p < 0.01), than PHQ-9 (r_s = 0.27, p < 0.01) scores. Area under ROC curve for poor HbA1c was 0.75 for PAID and 0.64 for PHQ-9. PAID-T and PHQ-9 scores were increased in females and subjects with public insurance and both were significantly related to HbA1c even when accounting for age, sex, race obesity, and insurance status. PHQ-9 and PAID-T scores correlated with BMI-Z scores in Blacks, but not Whites.

CONCLUSIONS

Both depression and diabetes distress are associated with increased HbA1c in adolescents with T1D, though distress is more so. Diabetes distress and depression should be routinely assessed in T1D adolescents, particularly those with public insurance.

Association of the use of diabetes technology with HbA1c and BMI-SDS in an international cohort of children and adolescents with type 1 diabetes: The SWEET project experience

OBJECTIVE

To examine the association between the use of diabetes technology (insulin pump [CSII], glucose sensor [CGM] or both) and metabolic control (HbA1c) as well as body adiposity (BMI-SDS) over-time in a cohort of children and adolescents with type 1 diabetes (T1D), that have never used these technologies before.

SUBJECTS AND METHODS

Four thousand six hundred forty three T1D patients (2-18 years, T1D ≥1 year, without celiac disease, no CSII and/or CGM before 2016) participating in the SWEET prospective multicenter diabetes registry, were enrolled. Data were collected at two points (2016; 2019). Metabolic control was assessed by glycated hemoglobin (HbA1c) and body adiposity by BMI-SDS (WHO). Patients were categorized by treatment modality (multiple daily injections [MDI] or CSII) and the use or not of CGM. Linear regression models, adjusted for age, gender, duration of diabetes and region, were applied to assess differences in HbA1c and BMI-SDS among patient groups.

RESULTS

The proportion of patients using MDI with CGM and CSII with CGM significantly increased from 2016 to 2019 (7.2%-25.7%, 7.8%-27.8% respectively; p < 0.001). Linear regression models showed a significantly lower HbA1c in groups that switched from MDI to CSII with or without CGM (p < 0.001), but a higher BMI-SDS (from MDI without CGM to CSII with CGM p < 0.05; from MDI without CGM to CSII without CGM p < 0.01).

CONCLUSIONS

Switching from MDI to CSII is significantly associated with improvement in glycemic control but increased BMI-SDS over-time. Diabetes technology may improve glucose control in youths with T1D although further strategies to prevent excess fat accumulation are needed.

Factors related to glycemic control in children and adolescents with type 1 diabetes mellitus in Isfahan, Iran

PURPOSE

Glycemic control is traditionally evaluated by monitoring of hemoglobin A1c (HbA1c). This study aims to explore factors related to glycemic control among pediatrics with type 1 diabetes mellitus (T1DM).

METHODS

This cross-sectional study was conducted among 454 students aged 6-18 years with T1DM in 2018. Demographic and disease related information were collected by a validated questionnaire. Generalized Linear Models (GLM) were used to investigate the association of explanatory variables with HbA1c concentration.

RESULTS

The mean (SD) age of the participants was 11.7(± 3.3) years. The overall prevalence of suboptimal glycemic control was 85.5% (HbA1c ≥ 7%). Results showed that post pubertal children experienced a significant decrease in HbA1c levels compared to prepubertal children (β =-0.83, p = 0.003). Underweight children had an increase of 1.32% in HBA1c concentration compared with normal weight children (β = 1.32, P = 0.007). We also found that participants with passive smoking had higher HBA1c levels than those without (β = 0.536, P = 0.022).

CONCLUSIONS

The results indicated that age, BMI and passive smoking and were significantly associated with HbA1c levels. It is suggested that glycemic control is related to multiple factors and the interaction of these factors with each other may have positive or negative effects on it which should be investigated in future studies. Improved understanding in this area could lead to prevention of deterioration in glycemic control.

Choice of basal insulin therapy is associated with weight and height development in type 1 diabetes: A multicenter analysis from the German/Austrian DPV registry in 10 338 children and adolescents

BACKGROUND

Available basal insulin regimes differ in pharmacokinetic profiles, which may be related to subsequent changes in anthropometry in patients with type 1 diabetes. This analysis elucidates the standardized height and body mass index development (height and BMI standard deviation score [height-SDS and BMI-SDS]) in pediatric type 1 diabetes patients depending on the choice of basal insulin.

METHODS

Longitudinal data of 10 338 German/Austrian patients from the Diabetes Prospective Follow-up (DPV, Diabetes Patienten Verlaufsdokumentation) database were analyzed. Patients aged 5.0 to 16.9 years were treated exclusively with neutral protamine Hagedorn (NPH), insulin detemir (IDet), insulin glargine (IGla), or continuous subcutaneous insulin infusion (CSII) for at least 3 years. Population-based German reference data were used to calculate height-SDS and BMI-SDS. Multiple linear regression was conducted.

RESULTS

BMI-SDS increased significantly in all regimes (NPH P = .0365; IDet P = .0003; IGla P < .0001; and CSII P < .0001). Direct comparison of the therapies revealed a favorable association only for NPH vs IGla. A rise in BMI-SDS was observed for all insulins in females, but only for IGla in males. BMI-SDS increment was not observed before 8 years of age. Initially and at the end of the observation period, mean height was above the 50th percentile of the reference population. Across the cohort, height-SDS declined during the observation period, except for CSII. Apart from the 5.0- to 7.9-year-old subgroup, long-acting insulin analogues were associated with a significant loss of height-SDS.

CONCLUSIONS

Choice of basal insulin regimen might influence height development. CSII appeared to have a favorable effect on growth trajectories. All therapies were associated with an increase of BMI-SDS, most evident in females.

Komorbiditäten bei Typ-1-Diabetes im Kindes- und Jugendalter

Typ-1-Diabetes (T1D) ist eine der häufigsten Stoffwechselerkrankungen im Kindes- und Jugendalter. Komorbiditäten beim T1D können in physische und psychische unterteilt werden. Dieser Beitrag beschäftigt sich mit physischen/organspezifischen Komorbiditäten. Die Assoziation zwischen T1D und anderen Autoimmunerkrankungen ist gut bekannt. Die beiden häufigsten assoziierten Autoimmunerkrankungen bei Kindern und Jugendlichen mit T1D sind die Autoimmunthyreoiditis und die Zöliakie. Da diese oft asymptomatisch sind, sollen regelmäßige Screeninguntersuchungen auf eine assoziierte Autoimmunthyreoiditis und Zöliakie durchgeführt werden. Weitere Komorbiditäten können die Haut, das Gewicht und Längenwachstum sowie die Knochen und Gelenke betreffen. Regelmäßige Messungen von Körperlänge und -gewicht (Perzentilen), Blutdruck (Perzentilen), die Beurteilung der Pubertätsentwicklung (Tanner-Stadien) sowie die regelmäßige Überprüfung der Haut, hier v. a. die Injektions‑/Katheter- und Sensor-Stellen, sollen fixer Bestandteil der Langzeitbetreuung von Kindern und Jugendlichen mit T1D sein.

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.

Long-term trends of BMI and cardiometabolic risk factors among adults with type 1 diabetes: An observational study from the German/Austrian DPV registry

AIMS

To analyse time-trends in BMI, obesity and cardiometabolic risk in adults with type 1 diabetes (T1DM) from the Diabetes Prospective Follow-up registry DPV.

METHODS

Data from 62,519 individuals with T1DM (age ≥ 18 years, BMI ≥ 18.5 kg/m²) were analysed. Multivariable regression models were used to determine time-trends in BMI, obesity and cardiometabolic risk and to identify predictors for increasing BMI. Results were compared to the NCD Risk Factor Collaboration (NCD-RisC) data for Germany.

RESULTS

Between 1999 and 2018 mean BMI increased from 25.0 kg/m² to 26.2 kg/m² in individuals with T1DM. This trend was most pronounced in young and middle-aged individuals (>21-55 years of age) and in those with higher baseline BMI. Insulin dose and diabetes duration were associated with increasing BMI. Between 1999 and 2016, the prevalence of obesity increased 1.8-fold in individuals with T1DM and 1.4-fold among the German population, respectively (NCD-RisC). Approximately 50-70% of individuals with obesity were insufficiently treated for hypertension and/or dyslipidaemia.

CONCLUSION

In adults with T1DM the prevalence of obesity is increasing at a faster pace than in the German population. BMI needs to be closely monitored, particularly during young adulthood, and cardiovascular risk factors need to be controlled better to prevent CVD and premature death.