The SEARCH for Diabetes in Youth study: rationale, findings, and future directions

Delayed diagnosis of new onset pediatric diabetes leading to diabetic ketoacidosis: a retrospective cohort study

OBJECTIVES

Patients with a delayed diagnosis of diabetes are more likely to present in diabetic ketoacidosis (DKA). The objective of this study was to assess the prevalence, risk factors, and consequences of missed pediatric diabetes diagnoses in emergency departments (EDs) potentially leading to DKA.

METHODS

Cases of children under 19 years old with a first-time diagnosis of diabetes mellitus presenting to EDs in DKA were drawn from the Healthcare Cost and Utilization Project database. A total of 11,716 cases were included. A delayed diagnosis of diabetes leading to DKA was defined by an ED discharge in the 14 days prior to the DKA diagnosis. The delayed diagnosis cases were analyzed using multivariate analysis to identify risk factors associated with delay, with the primary exposure being child opportunity index (COI) and secondary exposure being race/ethnicity. Rates of complications were compared across groups.

RESULTS

Delayed diagnosis of new onset diabetes leading to DKA occurred in 2.9 %. Delayed diagnosis was associated with COI, with 4.5 , 3.5, 1.9, and 1.5 % occurring by increasing COI quartile (p<0.001). Delays were also associated with younger age and non-Hispanic Black race. Patients with a delayed diagnosis were more likely to experience complications (4.4 vs. 2.2 %, p=0.01) including mechanical ventilation, as well as more frequent intensive care unit admissions and longer length of stays.

CONCLUSIONS

Among children with new-onset DKA, 2.9 % had a delayed diagnosis. Delays were associated with complications. Children living in areas with lower child opportunity and non-Hispanic Black children were at higher risk of delays.

Consensus guidance for monitoring individuals with islet autoantibody-positive pre-stage 3 type 1 diabetes

Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programmes are being increasingly emphasised. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb+) children and adults who are at risk of (confirmed single IAb+) or living with (multiple IAb+) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in non-specialised settings. To inform this monitoring, JDRF in conjunction with international experts and societies developed consensus guidance. Broad advice from this guidance includes the following: (1) partnerships should be fostered between endocrinologists and primary-care providers to care for people who are IAb+; (2) when people who are IAb+ are initially identified there is a need for confirmation using a second sample; (3) single IAb+ individuals are at lower risk of progression than multiple IAb+ individuals; (4) individuals with early-stage type 1 diabetes should have periodic medical monitoring, including regular assessments of glucose levels, regular education about symptoms of diabetes and DKA, and psychosocial support; (5) interested people with stage 2 type 1 diabetes should be offered trial participation or approved therapies; and (6) all health professionals involved in monitoring and care of individuals with type 1 diabetes have a responsibility to provide education. The guidance also emphasises significant unmet needs for further research on early-stage type 1 diabetes to increase the rigour of future recommendations and inform clinical care.

Incidence and sex differences of diabetes among youth: a 50-year population-based cohort study

AIMS

Although the literature on childhood diabetes has traditionally focused on Type 1 diabetes (T1D), youth-onset Type 2 diabetes (T2D) and its associated morbidities have become increasingly prevalent. This study reports on the incidence and demographics of a population-based cohort of children diagnosed with diabetes over a 50-year period.

METHODS

Medical records of patients < 22 years diagnosed with diabetes from January 1, 1970, through December 31, 2019, were retrospectively reviewed using the Rochester Epidemiology Project, a database of clinics and hospitals in Olmsted County, Minnesota.

RESULTS

Of 606 children diagnosed with diabetes, 519 (85.6%) were diagnosed with T1D at a mean age of 10.9 ± 5.3 years. 87 (14.4%) were diagnosed with T2D at a mean age of 17.4 ± 3.4 years. The incidence of T2D increased 23-fold (p < 0.001) over the five-decade period (5 per 100,000 children/year) while T1D remained stable (26 per 100,000 children/year; p = 0.08). The mean body mass index at T2D diagnosis (35.5 kg/m2 ± 10.4) was significantly higher than in T1D (18.9 kg/m2 ± 4.6 [95% CI for difference 14.2-19.0]; p < 0.0001). Sixty-nine percent of children diagnosed with T2D were female, and the hazard ratio of developing diabetic retinopathy in females with T2D compared to males was 6.83 (95% CI 1.53-30.44; p = 0.012).

CONCLUSIONS

The incidence of youth-onset T2D increased significantly over the 50-year period while the incidence of T1D remained stable. A higher proportion of females were diagnosed with youth-onset T2D. Females with T2D were more than six times likelier to develop diabetic retinopathy than males.

Household food insecurity and associations with hemoglobin A1c and acute diabetes-related complications in youth and young adults with type 1 diabetes: The SEARCH for Diabetes in Youth study

AIMS

To examine, among youth and young adults (YYA) with type 1 diabetes (T1D), the association of household food insecurity (HFI) with: 1) HbA1c and 2) episodes of diabetic ketoacidosis (DKA) and severe hypoglycemia.

METHODS

HFI was assessed using the U.S. Household Food Security Survey Module in SEARCH for Diabetes in Youth participants with T1D between 2016 and 2019. Linear and logistic regression models adjusted for age, diabetes duration, sex, race, ethnicity, clinic site, parent/participant education, household income, health insurance, and diabetes technology use.

RESULTS

Of 1830 participants (mean age 20.8 ± 5.0 years, 70.0 % non-Hispanic White), HbA1c was collected for 1060 individuals (mean HbA1c 9.2 % ± 2.0 %). The prevalence of HFI was 16.4 %. In the past 12 months, 18.2 % and 9.9 % reported an episode of DKA or severe hypoglycemia, respectively. Compared to participants who were food secure, HFI was associated with a 0.33 % (95 % CI 0.003, 0.657) higher HbA1c level. Those with HFI had 1.58 (95 % CI 1.13, 2.21) times the adjusted odds of an episode of DKA and 1.53 (95 % CI 0.99, 2.37) times the adjusted odds of an episode of severe hypoglycemia as those without HFI.

CONCLUSIONS

HFI is associated with higher HbA1c levels and increased odds of DKA in YYA with T1D.

Urinary sphingolipids in adolescents and young adults with youth-onset diabetes

BACKGROUND

This study evaluated urinary sphingolipids as a marker of diabetic kidney disease (DKD) in adolescents and young adults with youth-onset type 1 and type 2 diabetes.

METHODS

A comprehensive panel of urinary sphingolipids, including sphingomyelin (SM), glucosylceramide (GC), ceramide (Cer), and lactosylceramide (LC) species, was performed in patients with youth-onset diabetes from the SEARCH for Diabetes in Youth cohort. Sphingolipid levels, normalized to urine creatinine, were compared in 57 adolescents and young adults with type 1 diabetes, 59 with type 2 diabetes, and 44 healthy controls. The association of sphingolipids with albumin-to-creatinine (ACR) ratio and estimated glomerular filtration rate (eGFR) was evaluated.

RESULTS

The median age (interquartile range [IQR]) of participants was 23.1 years (20.9, 24.9) and the median duration of diabetes was 9.3 (8.5, 10.2) years. Urinary sphingolipid concentrations in patients with and without DKD (ACR ≥ 30 mg/g) were significantly elevated compared to healthy controls. There were no significant differences in sphingolipid levels between participants with type 1 and type 2 diabetes. In multivariable analysis, many sphingolipid species were positively correlated with ACR. Most significant associations were evident for the following species: C18 SM, C24:1 SM, C24:1 GC, and C24:1 Cer (all p < 0.001). Sphingolipid levels were not associated with eGFR. However, several interaction terms (diabetes type*sphingolipid) were significant, indicating diabetes type may modify the association of sphingolipids with eGFR.

CONCLUSION

Urinary sphingolipids are elevated in adolescents and young adults with youth-onset diabetes and correlate with ACR. Urinary sphingolipids may therefore represent an early biomarker of DKD.

Assessment of Nutrients Intake in Pediatrics with Type 1 Diabetes and Dyslipidemia in Jordan

Background

Dyslipidemias are disorders of lipoprotein metabolism that occur during childhood and adolescence, often persist into adulthood, and increase the risk of developing atherosclerotic lesions. This study aimed to assess the potential association between nutrient intake and dyslipidemia in Jordanian pediatric patients diagnosed with type 1 diabetes mellitus.

Methods

This cross-sectional study was conducted in Amman, Jordan, and involved 90 children and adolescents diagnosed with type 1 diabetes mellitus. Caregivers provided the following data: sex, age, type and dose of insulin, age at onset of type 1 diabetes, and level of physical activity. Anthropometric measurements were obtained using calibrated scales, and CDC growth charts were used to assess participants' body weight status. Nutrient intake was estimated using a 120-item food frequency questionnaire (FFQ) previously validated in Jordanian children and adolescents. Serum lipid levels, including total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were measured. Binary logistic regression was used to assess the relationship between nutrient intake and dyslipidemia.

Results

The results indicated that 36.7% of study participants had dyslipidemia. There were no significant differences in nutrient intake between dyslipidemic and normolipidemic individuals, except for a significantly higher median intake of vitamin B12 in the dyslipidemic group compared to the normolipidemic group (3.6 versus 2.7 µg, P-value = 0.046).

Conclusion

This study found no significant association between the prevalence of dyslipidemia and nutrient intake in children and adolescents diagnosed with type 1 diabetes mellitus.

Care, control and complications of hospitalised patients with type 1 diabetes in China: A nationwide-based registry study

AIMS

To evaluate the status quo of type 1 diabetes (T1D) management and characteristics of hospitalised patients with T1D in China through a nationwide multicentre registry study, the China Diabetes Type 1 Study (CD1S).

MATERIALS AND METHODS

Clinical data from the electronic hospital records of all people with T1D were retrospectively collected in 13 tertiary hospitals across 7 regions of China from January 2016 to December 2021. Patients were defined as newly diagnosed who received a diagnosis of diabetes for less than 3 months.

RESULTS

Among the 4993 people with T1D, the median age (range) at diagnosis was 23.0 (1.0-87.0) years and the median disease duration was 2.0 years. The median haemoglobin A1c (HbA1c) level was 10.7%. The prevalence of obesity, overweight, dyslipidemia, and hypertension were 2.5%, 10.8%, 62.5% and 25.9%, respectively. The incidence rate of diabetic ketoacidosis at disease onset was 41.1%, with the highest in children <10 years of age (50.6%). In patients not newly diagnosed, 60.7% were diagnosed with at least one chronic diabetic complication, with the highest proportion (45.3%) of diabetic peripheral neuropathy. Chronic complications were detected in 79.2% of people with T1D duration ≥10 years.

CONCLUSIONS

In the most recent years, there were still unsatisfactory metabolic control and high incidence of diabetic ketoacidosis as well as chronic diabetic complications among inpatients with T1D in China. The ongoing CD1S prospective study aims to improve the quality of T1D management nationally.

Trying to be like everybody else: A qualitative study revealing the importance of social contexts and illness representations among adolescents with type 1 diabetes and their parents

OBJECTIVE

Type 1 diabetes is one of the most common chronic conditions in young children and adolescents. During the period of adolescence, young people with diabetes often struggle with self-management and have compromised health-related quality of life. This often leads to familial conflicts affecting all family members negatively. The aim of this study is to provide qualitative insight into the everyday life of families with adolescents with type 1 diabetes.

METHODS

The data consisted of participatory family workshops conducted using interactive dialogue tools. The total number of participants was 33 (adolescents n = 13, parents n = 20). The adolescents were between 15 and 17 years. The data were analyzed using systematic text condensation.

RESULTS

The results showed two main themes. The first theme, Diabetes-friendly and unfriendly social contexts, highlighted how the (dis)comfortability of disclosing diabetes was a significant factor in achieving optimal metabolic control. For parents, it affected their perception of social support. The second theme, incongruent illness representations among family members, dealt with the extended family conflict during the period of adolescence.

DISCUSSION

Insights from our study could help healthcare professionals apply a family-centered approach minimizing family conflict and supporting metabolic control when consulting families with adolescents with type 1 diabetes.

Properties of the Household Food Security Survey Module Scale in Young Adults with Diabetes

BACKGROUND

The Household Food Security Survey Module (HFSSM) was not tailored to people with chronic diseases or young adults (YAs).

OBJECTIVES

We aim to evaluate whether the 18-item HFSSM meets assumptions underlying the scale among YAs with diabetes.

METHODS

Data from 1887 YAs with youth-onset type 1 diabetes or type 2 diabetes were used from the SEARCH for Diabetes in Youth Study, 2016-2019, and on 925 who returned for the SEARCH Food Security Cohort Study, 2018-2021, all of whom had completed the HFSSM. Guttman scaling properties (affirmation of preceding less severe items) and Rasch model properties (probability to answer an item based on difficulty level) were assessed.

RESULTS

Items 3 (balanced meals) and 6 (eating less than one should) were affirmed more frequently than expected (nonmonotonic response pattern). At 1.2%-3.5%, item nonresponse was rare among type 1 diabetes but higher among type 2 diabetes (range: 3.1%-10.6%). Items 9 (not eating the whole day) and 3 did not meet the Guttman scaling properties. Rasch modeling revealed that item 3 had the smallest difficulty parameter. INFIT indices suggested that some responses to item 3 did not match the pattern in the rest of the sample. Classifying household food insecurity (HFI) based on items 1 and 2 compared with other 2-item combinations, including item 3, revealed a substantial undercount of HFI ranging from 5% to 8% points.

CONCLUSIONS

Use of the HFSSM among YAs with diabetes could potentially result in biased HFI reporting and affect estimates of HFI prevalence in this population.

Self-Reported Food Security in Adolescents with Type 1 Diabetes: Association with Hemoglobin A1c and Mental Health Symptoms Independent of Household Food Security

BACKGROUND

Typically, child exposure to food insecurity is assessed by caregiver reports of household food security. Child report has the potential for greater accuracy because it pertains only to the child whose experiences may differ from caregiver reports.

OBJECTIVE

We assessed if adolescent-reported food insecurity was associated with levels of hemoglobin A1c (HbA1c), acute diabetes-related complications, depressive symptoms, and disordered eating behaviors in adolescents with type 1 diabetes, independently from household food security.

METHODS

In a cross-sectional analysis of the multicenter SEARCH for Diabetes in Youth Cohort Study (phase 4, 2016-2019) including 601 adolescents aged 10-17 y with type 1 diabetes and their caregivers, household food security, and adolescent-reported food security were assessed using the 18-item Household Food Security Survey Module and the 6-item Child Food Security Assessment questionnaire. Age-stratified (10-13 and 14-17) regression models were performed to estimate independent associations, adjusting for sociodemographics, clinical factors, and household food security.

RESULTS

Food insecurity was reported by 13.1% (n = 79) of adolescents and 15.6% (n = 94) of caregivers. Among adolescent-caregiver dyads, 82.5% (n = 496) of reports were concordant and 17.5% (n = 105) discordant, Cohen's κ= 0.3. Adolescent-reported food insecurity was not independently associated with HbA1c, diabetic ketoacidosis, and severe hypoglycemia, including in age-stratified analyses. Adolescent-reported food insecurity was independently associated with elevated odds of depressive symptoms [odds ratio (OR): 3.6; 95% confidence interval (CI): 1.3, 10.3] and disordered eating behaviors (OR: 2.5, 95% CI: 1.4, 4.6) compared with adolescents reporting food security; these associations remained in both age groups for disordered eating behaviors and in the older group for depressive symptoms.

CONCLUSIONS

Adolescents with type 1 diabetes may experience food insecurity differently than caregivers. Adolescent-reported food insecurity was independently associated with depressive symptoms and disordered eating behaviors and thus may be an important attribute to assess in addition to household food security in adolescents with type 1 diabetes.

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review

BACKGROUND

Diabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the transparency, replicability, biasedness, and overall validity of artificial intelligence studies in medicine.

OBJECTIVE

We aimed to systematically review the reporting quality of machine learning (ML) studies of pediatric DM using the Minimum Information About Clinical Artificial Intelligence Modelling (MI-CLAIM) checklist, a general reporting guideline for medical artificial intelligence studies.

METHODS

We searched the PubMed and Web of Science databases from 2016 to 2020. Studies were included if the use of ML was reported in children with DM aged 2 to 18 years, including studies on complications, screening studies, and in silico samples. In studies following the ML workflow of training, validation, and testing of results, reporting quality was assessed via MI-CLAIM by consensus judgments of independent reviewer pairs. Positive answers to the 17 binary items regarding sufficient reporting were qualitatively summarized and counted as a proxy measure of reporting quality. The synthesis of results included testing the association of reporting quality with publication and data type, participants (human or in silico), research goals, level of code sharing, and the scientific field of publication (medical or engineering), as well as with expert judgments of clinical impact and reproducibility.

RESULTS

After screening 1043 records, 28 studies were included. The sample size of the training cohort ranged from 5 to 561. Six studies featured only in silico patients. The reporting quality was low, with great variation among the 21 studies assessed using MI-CLAIM. The number of items with sufficient reporting ranged from 4 to 12 (mean 7.43, SD 2.62). The items on research questions and data characterization were reported adequately most often, whereas items on patient characteristics and model examination were reported adequately least often. The representativeness of the training and test cohorts to real-world settings and the adequacy of model performance evaluation were the most difficult to judge. Reporting quality improved over time (r=0.50; P=.02); it was higher than average in prognostic biomarker and risk factor studies (P=.04) and lower in noninvasive hypoglycemia detection studies (P=.006), higher in studies published in medical versus engineering journals (P=.004), and higher in studies sharing any code of the ML pipeline versus not sharing (P=.003). The association between expert judgments and MI-CLAIM ratings was not significant.

CONCLUSIONS

The reporting quality of ML studies in the pediatric population with DM was generally low. Important details for clinicians, such as patient characteristics; comparison with the state-of-the-art solution; and model examination for valid, unbiased, and robust results, were often the weak points of reporting. To assess their clinical utility, the reporting standards of ML studies must evolve, and algorithms for this challenging population must become more transparent and replicable.

Uric Acid Is Not Associated With Cardiovascular Health in Youth With Type 1 Diabetes: SEARCH for Diabetes in Youth Study

CONTEXT

Uric acid's role in cardiovascular health in youth with type 1 diabetes is unknown.

OBJECTIVE

Investigate whether higher uric acid is associated with increased blood pressure (BP) and arterial stiffness over time in adolescents and young adults with type 1 diabetes and if overweight/obesity modifies this relationship.

METHODS

Longitudinal analysis of data from adolescents and young adults with type 1 diabetes from 2 visits (mean follow up 4.6 years) in the SEARCH for Diabetes in Youth multicenter prospective cohort study from 2007 to 2018. Our exposure was uric acid at the first visit and our outcome measures were the change in BP, pulse wave velocity (PWV), and augmentation index between visits. We used multivariable linear mixed-effects models and assessed for effect modification by overweight/obesity.

RESULTS

Of 1744 participants, mean age was 17.6 years, 49.4% were female, 75.9% non-Hispanic White, and 45.4% had a follow-up visit. Mean uric acid was 3.7 mg/dL (SD 1.0). Uric acid was not associated with increased BP, PWV-trunk, or augmentation index over time. Uric acid was marginally associated with PWV-upper extremity (β = .02 m/s/year, 95% CI 0.002 to 0.04). The magnitude of this association did not differ by overweight/obesity status.

CONCLUSION

Among adolescents and young adults with type 1 diabetes, uric acid was not consistently associated with increased BP or arterial stiffness over time. These results support findings from clinical trials in older adults with diabetes showing that lowering uric acid levels does not improve cardiovascular outcomes.

Hemoglobin A1c and Type 2 Diabetes Incidence Among Adolescents With Overweight and Obesity

Importance

With the increase in prediabetes among adolescents with overweight and obesity, identifying those at highest risk for type 2 diabetes (T2D) can support prevention strategies.

Objective

To assess T2D risk by hemoglobin A1c (HbA1c) levels among adolescents with overweight and obesity.

Design, Setting, and Participants

This retrospective cohort study was conducted using data for January 1, 2010, to December 31, 2019, from a large California health care system. The study population comprised adolescents aged 10 to 17 years who had a body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) at or above the 85th percentile, had HbA1c measured during 2010 to 2018, and did not have preexisting diabetes. Data abstraction and analyses were conducted from January 1, 2020, to November 16, 2023.

Exposures

Baseline HbA1c, with covariates including BMI category (overweight: 85th to <95th percentile; moderate obesity: 100% to <120% of 95th percentile; or severe obesity: ≥120% of 95th percentile), age, sex, race and ethnicity, and Neighborhood Deprivation Index score.

Main Outcomes and Measures

The main outcome was incident T2D during follow-up through 2019, including cumulative incidence and multivariable hazard ratios (HRs) with 95% CIs using Cox proportional hazard regression analyses.

Results

This study included 74 552 adolescents with a mean (SD) age of 13.4 (2.3) years. More than half (50.6%) were female; 26.9% of individuals had overweight, 42.3% had moderate obesity, and 30.8% had severe obesity. Individuals identified as Asian or Pacific Islander (17.6%), Black (11.1%), Hispanic (43.6%), White (21.6%), and other or unknown race or ethnicity (6.1%). During follow-up, 698 adolescents (0.9%) developed diabetes, and 626 (89.7%) had T2D; 72 individuals (10.3%) who had type 1, secondary, or other diabetes were censored. The overall T2D incidence was 2.1 (95% CI, 1.9-2.3) per 1000 person-years, with a 5-year cumulative incidence of 1.0% (95% CI, 0.9%-1.1%). Higher baseline HbA1c (from <5.5% to 5.5%-5.6%, 5.7%-5.8%, 5.9%-6.0%, 6.1%-6.2%, and 6.3-6.4%) was associated with higher 5-year cumulative T2D incidence (from 0.3% [95% CI, 0.2%-0.4%] to 0.5% [0.4%-0.7%], 1.1% [0.8%-1.3%], 3.8% [3.2%-4.7%], 11.0% [8.9%-13.7%], and 28.5% [21.9%-36.5%], respectively). In addition, higher baseline HbA1c was associated with greater T2D risk (reference [HbA1c <5.5%]: HR, 1.7 [95% CI, 1.3-2.2], 2.8 [2.1-3.6], 9.3 [7.2-12.1], 23.3 [17.4-31.3], and 71.9 [51.1-101.1], respectively). Higher BMI category, older age, female sex, and Asian or Pacific Islander race (HR, 1.7 [95% CI, 1.3-2.2]), but not Black race or Hispanic ethnicity (compared with White race), were also independent indicators of T2D. In stratified analyses, incremental risk associated with higher HbA1c was greater for Asian or Pacific Islander and White adolescents than for Black and Hispanic adolescents.

Conclusions and Relevance

In this cohort study of adolescents with overweight and obesity, T2D risk increased substantially with baseline HbA1c above 6.0%. Risk varied by BMI, age, sex, and race and ethnicity. These findings suggest that diabetes surveillance in adolescents should be tailored to optimize identification among high-risk subgroups.

Sex differences in renal transporters: assessment and functional consequences

Mammalian kidneys are specialized to maintain fluid and electrolyte homeostasis. The epithelial transport processes along the renal tubule that match output to input have long been the subject of experimental and theoretical study. However, emerging data have identified a new dimension of investigation: sex. Like most tissues, the structure and function of the kidney is regulated by sex hormones and chromosomes. Available data demonstrate sex differences in the abundance of kidney solute and electrolyte transporters, establishing that renal tubular organization and operation are distinctly different in females and males. Newer studies have provided insights into the physiological consequences of these sex differences. Computational simulations predict that sex differences in transporter abundance are likely driven to optimize reproduction, enabling adaptive responses to the nutritional requirements of serial pregnancies and lactation - normal life-cycle changes that challenge the ability of renal transporters to maintain fluid and electrolyte homeostasis. Later in life, females may also undergo menopause, which is associated with changes in disease risk. Although numerous knowledge gaps remain, ongoing studies will provide further insights into the sex-specific mechanisms of sodium, potassium, acid-base and volume physiology throughout the life cycle, which may lead to therapeutic opportunities.

Household Food Insecurity Is Associated With Physical Activity in Youth and Young Adults With Diabetes: A Cross-Sectional Study

BACKGROUND

Physical activity (PA) is essential for optimal diabetes management. Household food insecurity (HFI) may negatively affect diabetes management behaviors. The purpose of this study was to cross-sectionally examine the association between HFI and PA in youth and young adults (YYA) with type 1 (N = 1998) and type 2 (N = 391) diabetes from the SEARCH for Diabetes in Youth Study.

METHODS

HFI was measured with the US Household Food Security Survey Module. PA was measured with the International Physical Activity Questionnaire Short Form. Walking, moderate-intensity PA (excluding walking), vigorous-intensity PA, moderate- to vigorous-intensity PA, and total PA were estimated as minutes per week, while time spent sitting was assessed in minutes per day. All were modeled with median regression. Meeting PA guidelines or not was modeled using logistic regression.

RESULTS

YYA with type 1 diabetes who experienced HFI spent more time walking than those who were food secure. YYA with type 2 diabetes who experienced HFI spent more time sitting than those who were food secure.

CONCLUSIONS

Future research should examine walking for leisure versus other domains of walking in relation to HFI and use objective PA measures to corroborate associations between HFI and PA in YYA with diabetes.

Prediction of atherosclerotic cardiovascular risk in early childhood

Atherosclerotic lesions are present even in very young individuals and therefore, risk stratification for cardiovascular (CV) disease should be implemented in childhood to promote early prevention strategies. In this review we critically appraise clinical, biochemical and genetic biomarkers available for pediatric clinical practice, which might be integrated to build effective algorithms to identify children at risk of future CV events. The first critical issue is to characterize in children aged 2-5 years, those CV risk factors/clinical conditions associated with dramatically accelerated atherosclerosis. Presence of clinical conditions such as obesity, diabetes mellitus, Kawasaki disease, etc., or positive family history for premature CV disease should be evaluated. Subsequently, a complete lipid profile and Lipoprotein(a) determination are recommended for children with increased baseline CV risk. Individuals with altered lipid profile could then undergo genetic testing for monogenic dyslipidemias to identify children with high CV genetic risk, who will be directed to appropriate therapeutic options. In perspective, calculation of a polygenic risk score, based on the analysis of several common single-nucleotide polymorphisms, could be integrated for better risk assessment. We here emphasize the importance of a "holistic" strategy integrating biochemical, anamnestic and genetic data to stratify CV risk in early childhood.

Care of Young Children With Diabetes in the Childcare and Community Setting: A Statement of the American Diabetes Association

Diabetes management in children extends from the home to other settings where children spend a significant portion of their waking hours. For young children (generally, aged <5 years) with diabetes, this includes childcare centers. Given their age and developmental stage, young children require a carefully thought-out, proactive diabetes care plan for the childcare setting, developed jointly by the health care provider and parents/guardians, and implemented by childcare staff. In the U.S., federal laws and some state laws protect the rights of children with diabetes in childcare and other settings to ensure they receive appropriate assistance with the diabetes management and care. This American Diabetes Association (ADA) Statement addresses the legal rights of children in the childcare setting, outlines the current best practices for diabetes care, and provides resources and responsibilities for parents/guardians, childcare providers, and health care providers. The ADA intends for these tools and information to support the health and well-being of young children with diabetes and offer helpful guidance to those caring for them.

Diabetes Susceptibility Assessment Using the Indian Diabetes Risk Score: A Cross-Sectional Analytical Study on Young Medical Students in Chennai, South India

Background Youth must identify their diabetes risk factors because the disease is currently affecting young people at an epidemic rate. The Indian Diabetes Risk Score (IDRS) is a reliable and affordable method for determining a person's risk of developing diabetes. This study aims to evaluate the ability of the IDRS to predict type 2 diabetes mellitus (T2DM) and investigate the relationship between diabetes risk and other variables in young medical students. Methodology In this cross-sectional analytical survey of a cohort of 670 undergraduate medical scholars over six months, a meticulously designed semi-structured questionnaire was administered. The questionnaire captured sociodemographic specifics, substance use habits (tobacco and alcohol), dietary patterns, and physical activity patterns in line with the WHO STEPwise approach to non-communicable disease risk factor surveillance and the IDRS tool. Results There was an equal proportion of males and females. The majority were in their second year of study. Overall, 5.2% of students reported tobacco use, while alcohol consumption was reported by 25.6% of the cohort. Furthermore, IDRS score insights revealed that 80.2% of the participants exhibited low diabetes risk, 18.9% were categorized as moderate risk, and 0.9% demonstrated high risk. Gender (adjusted prevalence ratio (PR) = 1.8, 95% confidence interval (CI) 1.3-2.7) and tobacco usage (adjusted PR = 1.6 (1.1 to 2.2)) were found to be significantly associated with higher IDRS scores on multivariable analysis. Conclusions Illuminating the landscape of risk determinants among medical students in Chennai, this study accentuates the pressing need for bespoke interventions, underpinned by behavioral change theories. Such strategies can potentially catalyze healthier lifestyle shifts, shaping favorable public health trajectories in the foreseeable future.

Determinants and Characteristics of Insulin Dose Requirements in Children and Adolescents with New-Onset Type 1 Diabetes: Insights from the INSENODIAB Study

Aims

New-onset type 1 diabetes mellitus (T1D) in pediatric patients represents a clinical challenge for initial total daily insulin dosing (TIDD) due to substantial heterogeneity in practice and lack of consensus on the optimal starting dose. Our INSENODIAB (INsulin SEnsitivity in New Onset type 1 DIABetes) study is aimed at (1) exploring the influence of patient-specific characteristics on insulin requirements in pediatric patients with new-onset T1D; (2) constructing a predictive model for the recommended TIDD tailored to individual patient profiles; and (3) assessing potential associations between TIDD and patient outcomes at follow-up intervals of 3 and 12 months.

Methods

We conducted a comprehensive analysis of medical records for children aged 6 months to 18 years, hospitalized for new-onset T1D from 2013 to 2022. The study initially involved multivariable regression analysis on a retrospective cohort (rINSENODIAB), incorporating baseline variables. Subsequently, we validated the model robustness on a prospective cohort (pINSENODIAB) with a significance threshold of 5%. The model accuracy was assessed by Pearson's correlation.

Results

Our study encompassed 103 patients in the retrospective cohort and 80 in the prospective cohort, with median TIDD at diagnosis of 1.1 IU/kg BW/day (IQR 0.5). The predictive model for optimal TIDD was established using baseline characteristics, resulting in the following formula: TIDD (IU/d) = ([0.09 × Age2] + [0.68 × %Weight Loss] + [28.60 × Veinous pH] - [1.03 × Veinous bicarbonates] + [0.81 × Weight] - 194.63). Validation of the model using the pINSENODIAB cohort demonstrated a significant Pearson correlation coefficient of 0.74. Notably, no significant correlation was observed between TIDD at diagnosis and partial remission markers (IDAA1C, C-peptide) at 3- and 12-months postdiagnosis time points.

Conclusions

In the context of new-onset T1D in pediatric patients, we identified key influencing factors for determining optimal TIDD, including age, percentage of weight loss, weight, veinous pH, and bicarbonates. These findings have paved the way for the development of a dosing algorithm to potentially expedite glycemic control stabilization and facilitate a more individualized approach to treatment regimens.

Prevalence and Clinical Characteristics of PDX1 Variant Induced Diabetes in Chinese Early-Onset Type 2 Diabetes

CONTEXT

Maturity-onset diabetes of the young 4 (MODY4) is caused by mutations of PDX1; its prevalence and clinical features are not well known.

OBJECTIVE

This study aimed to investigate the prevalence and clinical characteristics of MODY4 in Chinese people clinically diagnosed with early-onset type 2 diabetes (EOD), and to evaluate the relationship between the PDX1 genotype and the clinical phenotype.

METHOD

The study cohort consisted of 679 patients with EOD. PDX1 mutations were screened by DNA sequencing, and their pathogenicity was evaluated by functional experiments and American College of Medical Genetics and Genomics guidelines. MODY4 was diagnosed in individuals with diabetes who carry a pathogenic or likely pathogenic PDX1 variant. All reported cases were reviewed for analyzing the genotype-phenotype relationship.

RESULT

4 patients with MODY4 were identified, representing 0.59% of this Chinese EOD cohort. All the patients were diagnosed before 35 years old, either obese or not obese. Combined with previously reported cases, the analysis revealed that the carriers of homeodomain variants were diagnosed earlier than those with transactivation domain variants (26.10 ± 11.00 vs 41.85 ± 14.66 years old, P < .001), and the proportions of overweight and obese individuals with missense mutation were higher than those with nonsense or frameshift mutations (27/34 [79.4%] vs 3/8 [37.5%], P = .031).

CONCLUSION

Our study suggested that MODY4 was prevalent in 0.59% of patients with EOD in a Chinese population. It was more difficult to identify clinically than other MODY subtypes owning to its clinical similarity to EOD. Also, this study revealed that there is some relationship between genotype and phenotype.

Characteristics of Type 2 Diabetes in Female and Male Youth

The incidence of type 2 diabetes in children is rising and carries a worse prognosis than in adults. The influence of sex on pediatric type 2 diabetes outcomes has not been well investigated. We studied 715 youth with type 2 diabetes diagnosed at a median age of 13.7 years and compared sex differences in demographic, clinical, and laboratory characteristics within the first year of diagnosis. Females diagnosed with type 2 diabetes were younger and at a higher stage of pubertal development than males, yet presented with lower A1Cs, a lower prevalence of diabetic ketoacidosis, and higher HDL cholesterol levels.

Clinical prediction models combining routine clinical measures identify participants with youth-onset diabetes who maintain insulin secretion in the range associated with type 2 diabetes: The SEARCH for Diabetes in Youth Study

Objective

With the high prevalence of pediatric obesity and overlapping features between diabetes subtypes, accurately classifying youth-onset diabetes can be challenging. We aimed to develop prediction models that, using characteristics available at diabetes diagnosis, can identify youth who will retain endogenous insulin secretion at levels consistent with type 2 diabetes (T2D).

Methods

We studied 2,966 youth with diabetes in the prospective SEARCH study (diagnosis age ≤19 years) to develop prediction models to identify participants with fasting c-peptide ≥250 pmol/L (≥0.75ng/ml) after >3 years (median 74 months) of diabetes duration. Models included clinical measures at baseline visit, at a mean diabetes duration of 11 months (age, BMI, sex, waist circumference, HDL-C), with and without islet autoantibodies (GADA, IA-2A) and a Type 1 Diabetes Genetic Risk Score (T1DGRS).

Results

Models using routine clinical measures with or without autoantibodies and T1DGRS were highly accurate in identifying participants with c-peptide ≥0.75 ng/ml (17% of participants; 2.3% and 53% of those with and without positive autoantibodies) (area under receiver operator curve [AUCROC] 0.95-0.98). In internal validation, optimism was very low, with excellent calibration (slope=0.995-0.999). Models retained high performance for predicting retained c-peptide in older youth with obesity (AUCROC 0.88-0.96), and in subgroups defined by self-reported race/ethnicity (AUCROC 0.88-0.97), autoantibody status (AUCROC 0.87-0.96), and clinically diagnosed diabetes types (AUCROC 0.81-0.92).

Conclusion

Prediction models combining routine clinical measures at diabetes diagnosis, with or without islet autoantibodies or T1DGRS, can accurately identify youth with diabetes who maintain endogenous insulin secretion in the range associated with type 2 diabetes.

Development and Implementation of a Multidisciplinary Clinic Focused on the Care of Adolescents with Youth-Onset Type 2 Diabetes

Introduction

Diabetes self-management education and lifestyle interventions are the cornerstones of type 2 diabetes (T2D) care; however, the higher risk of comorbidities among youth with T2D requires a comprehensive care model. Traditionally, sub-specialty care relies on a referral model placing the burden on patients/families. In response, we developed a pediatric T2D multidisciplinary clinic (MDC)-A single physical location where patients can access various sub-specialists. The goals of the MDC are to aid with lifestyle modifications and provide referral/access to sub-specialists within the MDC, as determined through screening labs and assessment tools.

Methods

We conducted a retrospective chart review of youth seen in the T2D MDC clinic at Cincinnati Children's Hospital from 1/2020 to 12/2021. We evaluated the frequency that youth met with each specialist and completion rates of annual screening labs.

Results

The cohort consisted of 227 youth with T2D (mean age 17.6 years, mean BMI 40.9kg/m2, 64% female, 50% Black or African American, 65% public insurance). All patients met with a diabetes provider and 81.2% met with a registered dietitian/certified diabetes education specialist. Exercise physiology met with 51.5% of patients, gastroenterology met with 34.8% of patients, social work met with 44.1% of patients, clinical psychology met with 27.3% of patients, and bariatric surgery met with 9.7% of patients. Percent completion of annual labs were: 98.2% for HbA1c, 84.6% for urine microalbumin, 83.7% for lipids, 90% for liver function, 59.5% for retinopathy, and 45.4% for the Patient Health Questionnaire-9.

Conclusion

The majority of patients received diabetes and nutrition education and annual screening labs. Exercise counseling and sub-specialty care remain below 60% in part due to services not being available at every MDC. Our goals are to increase access to subspecialty care within the MDC's and consider additional care delivery methods to provide comprehensive care to youth with T2D.

Household Food Insecurity and Cognition in Youth and Young Adults with Youth-Onset Diabetes

Objective

We evaluated the association of household food insecurity (FI) with cognition in youth and young adults with type 1 diabetes (T1D) or type 2 diabetes (T2D).

Design

In this cross-sectional study, age-adjusted scores for composite Fluid Cognition, and sub-domain scores for Receptive Language and Inhibitory Control and Attention, were modeled stratified by diabetes-type using linear regression, with FI in the past year as the predictor, controlling for covariates. Tests for processing speed, inhibitory control/attention, working memory, episodic memory, and cognitive flexibility were administered to measure composite Fluid Cognition score. The NIHT-CB Picture Vocabulary Test was used to assess Crystallized Cognition score and rapid identification of congruent versus noncongruent items were used to assess Inhibitory Control and Attention score.

Setting

The SEARCH for Diabetes in Youth study, representative of 5 U.S. states.

Participants

Included 1574 youth and young adults with T1D or T2D, mean age of 21 years, mean diabetes duration of 11 years, 51% non-Hispanic white, and 47% had higher HbA1c levels (>9% HbA1c).

Results

Approximately 18% of the 1,240 participants with T1D and 31% of the 334 with T2D experienced FI. The food-insecure group with T1D had a lower composite Fluid Cognition score (β= -2.5, 95% confidence interval (CI)= -4.8, -0.1) and a lower Crystallized Cognition score (β= -3.4, CI= -5.6, -1.3) than food-secure peers. Findings were attenuated to non-significance after adjustment for demographics. Among T2D participants, no associations were observed. In participants with T1D effect modification by glycemic levels were found in the association between FI and composite Fluid Cognition score but adjustment for socioeconomic characteristics attenuated the interaction (p=0.0531).

Conclusions

Food-insecure youth and young adults with T1D or T2D did not have different cognition compared to those who were food-secure after adjustment for confounders. Longitudinal research is needed to further understand relations amongst these factors.

Efficacy and safety of faster aspart in insulin pumps in children and adolescents with type 1 diabetes mellitus: A single-center study with real-world data

AIMS

To assess the efficacy and safety of faster aspart (FIAsp) in paediatric population with type 1 diabetes mellitus (T1DM) and insulin pumps in real-world settings.

METHODS

Of 44 patients, 20 used FIAsp, 16 of which switched from aspart to FIAsp and 24 used aspart/lispro. We performed within-groups and between-groups analyses in three time points for anthropometric data, % of 24-h time in range of 70-180 mg/dl (TIR), time < 70 mg/dl and <54 mg/dl and time > 180 mg/dl and >250 mg/dl, bolus and basal insulins doses (units/kg/day and %), total daily dose (TDD, units/kg/day), glycaemic variability, frequency of set changes, sensor wear per week and meals per day.

RESULTS

Use of FIAsp over time increased TIR (P = 0.002) and TDD (P = 0.008 and P = 0.004, respectively for three months after the switch and recent use) and decreased time in hyperglycaemia (>180 P = 0.003 and > 250 mg/dl, P = 0.004). Frequency of set changes differ in the first 3 months (P = 0.042). Patients with FIAsp consumed more meals per day compared to those with aspart/lispro (P = 0.032).

CONCLUSION

Real-world data confirm that use of FIAsp in insulin pumps in paediatric populations improves glycaemic control long-term.

Noninvasive Glucose Sensing In Vivo

Blood glucose monitoring is an essential aspect of disease management for individuals with diabetes. Unfortunately, traditional methods require collecting a blood sample and thus are invasive and inconvenient. Recent developments in minimally invasive continuous glucose monitors have provided a more convenient alternative for people with diabetes to track their glucose levels 24/7. Despite this progress, many challenges remain to establish a noninvasive monitoring technique that works accurately and reliably in the wild. This review encompasses the current advancements in noninvasive glucose sensing technology in vivo, delves into the common challenges faced by these systems, and offers an insightful outlook on existing and future solutions.

Preconception Counseling in Women With Diabetes: The SEARCH for Diabetes in Youth Study

Preconception counseling is recommended for all women with diabetes starting at puberty to convey the importance of optimal diabetes management for maternal and fetal outcomes. This study included 622 female participants from the SEARCH for Diabetes in Youth study with a mean age of 22.2 years (range 14-35 years). Only 53.7% reported ever receiving preconception counseling, which was significantly lower among women seeing pediatric providers than those seeing adult or all-age providers. Older age and history of prior pregnancy were associated with increased odds of reporting having received preconception counseling. Identification of barriers to delivering preconception counseling to young females with diabetes and strategies to overcome them are needed to reduce the risk for pregnancy complications and adverse offspring health outcomes.

Glycemic Control and Metabolic Parameters in Children and Adolescents With Type 1 Diabetes

AIM

The association between glycemic control and metabolic status is poorly defined in children and adolescents with T1D, besides being biologically plausible. We aimed to evaluate the association between glycemic control and body mass index (BMI), blood pressure (BP), and lipid profile in children and adolescents with T1D.

METHODS

Observational cross-sectional study including children and adolescents (5-18 years old) followed in our outpatient clinic with the diagnosis of T1D for at least a year. We used linear regression models (unadjusted and adjusted to sex and age) to evaluate the association between glycated hemoglobin (A1c) and time in range (TIR), several prespecified metabolic parameters, and prespecified demographic and clinical characteristics. We considered a p-value of <0.05 to be statistically significant.

RESULTS

A total of 144 patients were included, 51% of whom were female. The population had a mean age of 12.7±3.4 years old. We report a positive association between A1c and BMI, systolic and diastolic BP, total- and LDL-cholesterol and triglycerides. Females and patients diagnosed at a younger age presented with higher A1c values. There is a tendency for a negative association between TIR and the former parameters. Higher A1c levels and lower TIR were associated with higher glycemic variability and were treated with a higher basal insulin per Kg dose.

CONCLUSION

Our results support an important association between worse glycemic control and an unhealthier metabolic profile in children and adolescents with T1D. We can hypothesize that a good glycemic profile is needed to achieve good metabolic control at a young age.

Food Insecurity and Adequacy of Dietary Intake in Youth and Young Adults With Youth-Onset Type 1 and Type 2 Diabetes

BACKGROUND

Household food insecurity is associated with poor dietary intake in the general population, but little is known about this association in persons with diabetes.

OBJECTIVE

We examined the degree of adherence to the dietary reference intakes and 2020-2025 Dietary Guidelines for Americans overall and according to food security status and diabetes type among youth and young adults (YYA) with youth-onset diabetes.

DESIGN, PARTICIPANTS, AND SETTING

The SEARCH for Diabetes in Youth study includes 1,197 YYA with type 1 diabetes (mean age = 21 ± 5 years) and 319 YYA with type 2 diabetes (25 ± 4 years). Participants (or parents if younger than age 18 years) completed the US Department of Agriculture Household Food Security Survey Module, wherein ≥3 affirmations indicate food insecurity.

MAIN OUTCOME MEASURES

Diet was assessed via food frequency questionnaire and compared with age- and sex-specific dietary reference intakes for 10 nutrients and dietary components (calcium; fiber; magnesium; potassium; sodium; vitamins C, D, and E; added sugar; and saturated fat).

STATISTICAL ANALYSES PERFORMED

Median regression models controlled for sex- and type-specific means for age, diabetes duration, and daily energy intake.

RESULTS

Prevalence of guideline adherence was overarchingly poor, with <40% of participants meeting recommendations for eight of 10 nutrients and dietary components; however, higher adherence (>47%) was observed for vitamin C and added sugars. YYA with type 1 diabetes who were food insecure were more likely to meet recommendations for calcium, magnesium, and vitamin E (P < 0.05), and less likely for sodium (P < 0.05) than those with food security. In adjusted models, YYA with type 1 diabetes who were food secure had closer median adherence to sodium (P = 0.002) and fiber (P = 0.042) guidelines than those food insecure. No associations were observed in YYA with type 2 diabetes.

CONCLUSIONS

Food insecurity is associated with lesser adherence to fiber and sodium guidelines in YYA with type 1 diabetes, which may lead to diabetes complications and other chronic diseases.

Managing type 2 diabetes in children and young people: challenges and solutions

Growing numbers of children and young people are diagnosed with type 2 diabetes, partly due to the obesogenic environment they grow up in. The increasing prevalence of type 2 diabetes is seen particularly in adolescent girls and in children and young people of non-white ethnic backgrounds. There are numerous challenges relating to the diagnosis, treatment and management of type 2 diabetes in children and young people, notably the fact that the condition can lead to serious complications and often triggers high levels of anxiety and stress in patients and families. This article outlines the challenges faced by children and young people with type 2 diabetes, their families and carers, and suggests ways in which nurses can support them with the aim of achieving optimal management and self-management.

Health Care Transition to Adult Care in Type 1 Diabetes: Associations With Student and Employment Status-The SEARCH for Diabetes in Youth Study

Successful transition from a pediatric to adult diabetes care provider is associated with reduced ambulatory diabetes care visits and increased acute complications. This study aimed to determine whether the degree of independence in diabetes care and the rate of acute complications after transition to adult diabetes care were associated with individuals' student or employment status. Nonstudents were found to be less likely than students to be independent with diabetes care, and employed nonstudents were at lower risk of diabetic ketoacidosis than unemployed nonstudents. Additional support may be needed for young adults who are not students or are unemployed to improve independence and reduce the risk for acute complications.

Managing type 1 diabetes in children and young people: challenges and solutions

Type 1 diabetes is the most common form of diabetes in school-age children. Effective management and self-management at home and during school hours are essential to improve the quality of life of children and young people and reduce their risk of developing complications such as cardiovascular disease and kidney disease. There are, however, multiple barriers to effective management and self-management, notably in adolescence. Interventions, education and support based on clear psychoeducational principles improve the outcomes of children and young people. This article explores type 1 diabetes including its causes and risk factors, presentation and diagnosis, complications and comorbidities, and treatment and management. It focuses in particular on the role of nurses in supporting self-management and on the challenges of type 1 diabetes care in school.

Prevalence, Progression, and Modifiable Risk Factors for Diabetic Retinopathy in Youth and Young Adults With Youth-Onset Type 1 and Type 2 Diabetes: The SEARCH for Diabetes in Youth Study

OBJECTIVE

To determine the prevalence, progression, and modifiable risk factors associated with the development of diabetic retinopathy (DR) in a population-based cohort of youth-onset diabetes.

RESEARCH DESIGN AND METHODS

We conducted a multicenter, population-based prospective cohort study (2002-2019) of youth and young adults with youth-onset type 1 diabetes (n = 2,519) and type 2 diabetes (n = 447). Modifiable factors included baseline and change from baseline to follow-up in BMI z score, waist/height ratio, systolic and diastolic blood pressure z score, and A1C. DR included evidence of mild or moderate nonproliferative DR or proliferative retinopathy. Prevalence estimates were standardized to estimate the burden of DR, and inverse probability weighting for censoring was applied for estimating risk factors for DR at two points of follow-up.

RESULTS

DR in youth-onset type 1 and type 2 diabetes is highly prevalent, with 52% of those with type 1 diabetes and 56% of those with type 2 diabetes demonstrating retinal changes at follow-up (mean [SD] 12.5 [2.2] years from diagnosis). Higher baseline A1C, increase in A1C across follow-up, and increase in diastolic and systolic blood pressure were associated with the observation of DR at follow-up for both diabetes types. Increase in A1C across follow-up was associated with retinopathy progression. BMI z score and waist/height ratio were inconsistently associated, with both positive and inverse associations noted.

CONCLUSIONS

Extrapolated to all youth-onset diabetes in the U.S., we estimate 110,051 cases of DR developing within ∼12 years postdiagnosis. Tight glucose and blood pressure management may offer the opportunity to mitigate development and progression of DR in youth-onset diabetes.

Diabetes Care Barriers, Use, and Health Outcomes in Younger Adults With Type 1 and Type 2 Diabetes

Importance

Treatment challenges exist for younger adults with type 1 (T1D) and type 2 diabetes (T2D). Health care coverage, access to, and use of diabetes care are not well delineated in these high-risk populations.

Objective

To compare patterns of health care coverage, access to, and use of diabetes care and determine their associations with glycemia among younger adults with T1D and with T2D.

Design, Setting, and Participants

This cohort study analyzed data from a survey that was jointly developed by 2 large, national cohort studies: the SEARCH for Diabetes in Youth (SEARCH) study, an observational study of individuals with youth-onset T1D or T2D, and the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study, a randomized clinical trial (2004-2011) followed by an observational study (2012-2020). The interviewer-directed survey was administered during in-person study visits in both studies between 2017 and 2019. Data analyses were performed between May 2021 and October 2022.

Main Outcomes and Measures

Survey questions addressed health care coverage, usual sources of diabetes care, and frequency of care use. Glycated hemoglobin (HbA1c) levels were assayed in a central laboratory. Patterns of health care factors and HbA1c levels were compared by diabetes type.

Results

The analysis included 1371 participants (mean [range] age, 25 [18-36] years; 824 females [60.1%]), of whom 661 had T1D and 250 had T2D from the SEARCH study and 460 had T2D from the TODAY study. Participants had a mean (SD) diabetes duration of 11.8 (2.8) years. More participants with T1D than T2D in both the SEARCH and TODAY studies reported health care coverage (94.7%, 81.6%, and 86.7%), access to diabetes care (94.7%, 78.1%, and 73.4%), and use of diabetes care (88.1%, 80.5%, and 73.6%). Not having health care coverage was associated with significantly higher mean (SE) HbA1c levels in participants with T1D in the SEARCH study (no coverage, 10.8% [0.5%]; public, 9.4% [0.2%]; private, 8.7% [0.1%]; P < .001) and participants with T2D from the TODAY study (no coverage, 9.9% [0.3%]; public, 8.7% [0.2%]; private, 8.7% [0.2%]; P = .004). Medicaid expansion vs without expansion was associated with more health care coverage (participants with T1D: 95.8% vs 90.2%; participants with T2D in SEARCH: 86.1% vs 73.9%; participants with T2D in TODAY: 93.6% vs 74.2%) and lower HbA1c levels (participants with T1D: 9.2% vs 9.7%; participants with T2D in SEARCH: 8.4% vs 9.3%; participants with T2D in TODAY: 8.7% vs 9.3%). The T1D group incurred higher median (IQR) monthly out-of-pocket expenses than the T2D group ($74.50 [$10.00-$309.00] vs $10.00 [$0-$74.50]).

Conclusions and Relevance

Results of this study suggested that lack of health care coverage and of an established source of diabetes care were associated with significantly higher HbA1c levels for participants with T1D, but inconsistent results were found for participants with T2D. Increased access to diabetes care (eg, through Medicaid expansion) may be associated with improved health outcomes, but additional strategies are needed, particularly for individuals with T2D.

Trends in incidence of youth-onset type 1 and type 2 diabetes in the USA, 2002-18: results from the population-based SEARCH for Diabetes in Youth study

BACKGROUND

The incidence of diabetes is increasing in children and young people. We aimed to describe the incidence of type 1 and type 2 diabetes in children and young people aged younger than 20 years over a 17-year period.

METHODS

The SEARCH for Diabetes in Youth study identified children and young people aged 0-19 years with a physician diagnosis of type 1 or type 2 diabetes at five centres in the USA between 2002 and 2018. Eligible participants included non-military and non-institutionalised individuals who resided in one of the study areas at the time of diagnosis. The number of children and young people at risk of diabetes was obtained from the census or health plan member counts. Generalised autoregressive moving average models were used to examine trends, and data are presented as incidence of type 1 diabetes per 100 000 children and young people younger than 20 years and incidence of type 2 diabetes per 100 000 children and young people aged between 10 years and younger than 20 years across categories of age, sex, race or ethnicity, geographical region, and month or season of diagnosis.

FINDINGS

We identified 18 169 children and young people aged 0-19 years with type 1 diabetes in 85 million person-years and 5293 children and young people aged 10-19 years with type 2 diabetes in 44 million person-years. In 2017-18, the annual incidence of type 1 diabetes was 22·2 per 100 000 and that of type 2 diabetes was 17·9 per 100 000. The model for trend captured both a linear effect and a moving-average effect, with a significant increasing (annual) linear effect for both type 1 diabetes (2·02% [95% CI 1·54-2·49]) and type 2 diabetes (5·31% [4·46-6·17]). Children and young people from racial and ethnic minority groups such as non-Hispanic Black and Hispanic children and young people had greater increases in incidence for both types of diabetes. Peak age at diagnosis was 10 years (95% CI 8-11) for type 1 diabetes and 16 years (16-17) for type 2 diabetes. Season was significant for type 1 diabetes (p=0·0062) and type 2 diabetes (p=0·0006), with a January peak in diagnoses of type 1 diabetes and an August peak in diagnoses of type 2 diabetes.

INTERPRETATION

The increasing incidence of type 1 and type 2 diabetes in children and young people in the USA will result in an expanding population of young adults at risk of developing early complications of diabetes whose health-care needs will exceed those of their peers. Findings regarding age and season of diagnosis will inform focused prevention efforts.

FUNDING

US Centers for Disease Control and Prevention and US National Institutes of Health.

Perspectives of culturally and linguistically diverse families in the management of children with type 1 diabetes in Western Australia

OBJECTIVES

Children with Type 1 diabetes (T1D) from different ethnic backgrounds are growing in proportion in clinical practice and tend to have a higher risk of poor health outcomes. The study aimed to investigate the perspectives of culturally and linguistically diverse families in the management of children with T1D in Western Australia.

DESIGN

A generic qualitative approach was used. Families of children and adolescents with T1D with first-generation African, Asian or Middle Eastern background were invited to participate in a semi-structured interview. The interviews were audio-recorded, transcribed and analysed thematically. Demographic, clinical and socio-economic data were collected from all participants.

RESULTS

Fifteen families (27% African, 33% Middle Eastern, 40% Asian) participated in the study. The mean (SD) age of the child with T1D was 10.2 (5.1) years, had diabetes for 2.9 (1.6) years and an average HbA1c of 67 (15) mmol/mol. Four main themes were identified through qualitative analysis. 'Dietary challenges': lack of adequate food resources posed a barrier to determine carbohydrate amount in traditional meals; 'Linguistic challenges': inadequate reading and language skills affected comprehension of written information and the desire for pictorial resources was reported; 'Limited Support': absence of extended family made management of T1D difficult; and 'Knowledge': a key facilitator, which was acquired through clinic education, enabled families to develop skills to effectively manage T1D.

CONCLUSION

The study highlights the need to consider cultural diversity, psychosocial needs, English proficiency and health literacy when assessing and planning diabetes education. These findings will be useful to formulate a more culturally sensitive approach to diabetes education to improve care and outcomes for young people with T1D from culturally and linguistically diverse families.

RAGE signaling regulates the progression of diabetic complications

Diabetes, the ninth leading cause of death globally, is expected to affect 642 million people by 2040. With the advancement of an aging society, the number of patients with diabetes having multiple underlying diseases, such as hypertension, obesity, and chronic inflammation, is increasing. Thus, the concept of diabetic kidney disease (DKD) has been accepted worldwide, and comprehensive treatment of patients with diabetes is required. Receptor for advanced glycation endproducts (RAGE), a multiligand receptor, belonging to the immunoglobulin superfamily is extensively expressed throughout the body. Various types of ligands, including advanced glycation endproducts (AGEs), high mobility group box 1, S100/calgranulins, and nucleic acids, bind to RAGE, and then induces signal transduction to amplify the inflammatory response and promote migration, invasion, and proliferation of cells. Furthermore, the expression level of RAGE is upregulated in patients with diabetes, hypertension, obesity, and chronic inflammation, suggesting that activation of RAGE is a common denominator in the context of DKD. Considering that ligand–and RAGE–targeting compounds have been developed, RAGE and its ligands can be potent therapeutic targets for inhibiting the progression of DKD and its complications. Here, we aimed to review recent literature on various signaling pathways mediated by RAGE in the pathogenesis of diabetic complications. Our findings highlight the possibility of using RAGE–or ligand–targeted therapy for treating DKD and its complications.

Youth-onset type 2 diabetes mellitus: an urgent challenge

The incidence and prevalence of youth-onset type 2 diabetes mellitus (T2DM) and its complications are increasing worldwide. Youth-onset T2DM has been reported in all racial and ethnic groups, but Indigenous peoples and people of colour are disproportionately affected. People with youth-onset T2DM often have a more aggressive clinical course than those with adult-onset T2DM or those with type 1 diabetes mellitus. Moreover, the available treatment options for children and adolescents with T2DM are more limited than for adult patients. Intermediate complications of youth-onset T2DM, such as increased albuminuria, often develop in late childhood or early adulthood, and end-stage complications, including kidney failure, develop in mid-life. The increasing frequency, earlier onset and greater severity of childhood obesity in the past 50 years together with increasingly sedentary lifestyles and an increasing frequency of intrauterine exposure to diabetes are important drivers of the epidemic of youth-onset T2DM. The particularly high risk of the disease in historically disadvantaged populations suggests an important contribution of social and environmental factors, including limited access to high-quality health care, healthy food choices and opportunities for physical activity as well as exposure to stressors including systemic racism and environmental pollutants. Understanding the mechanisms that underlie the development and aggressive clinical course of youth-onset T2DM is key to identifying successful prevention and management strategies.

Obesity, overweight and hyperglycemia among primary school children in a low-middle income country with a multiethnic population

Objective

The number of children with cardiovascular risk factors is increasing steadily. However, limited data are available on the prevalence of overweight, obesity, and hyperglycemia among children in low-middle-income countries with multiethnic populations. Therefore, we assessed these factors in a school-based survey in Suriname, a low-middle-income country.

Methods

We invited pupils of 5th and 6th grade visiting the primary school to participate in this survey. We used a questionnaire and face to face interviews, and conducted measurements to collect data on biological factors (ethnicity, sex, length, weight, waist circumference, and fasting blood glucose levels), behavior (frequency of physical activity, breakfast, bedtime, screentime), consumption (fruit and vegetables, snack, dairy products) and social factors (parental education, living area).

Results

Overall, the percentage of children with overweight was 13.9%, obesity 13.3% and for elevated fasting blood glucose level (> 6 mmol/L) 4.5%. In the investigated group of individuals, obesity and overweight were associated with sex (girls showed a lower OR of 0.54 [95%CI: 0.39-0.75] for obesity), ethnicity (Javanese 2.1, 1.5-3.0 for overweight and 5.0, 3.1-8.2 for obesity, Maroon 2.2, 1.2-4.1 and Mixed ethnicity 1.7, 1.1-2.6, for obesity compared to Hindustani), behavior (Skip Breakfast: 1.4, 1.2-1.7, physical activity: 0.8, 0.7-0.9) and maternal education level (high 1.7, 1.0-2.7). Children with elevated fasting blood glucose levels showed an association with obesity (1.8, 1.2-2.7) and waist circumference (1.02, 1.01-1.03).

Conclusion

The results show that there is a high prevalence for overweight, obesity and elevated fasting blood glucose among children in Suriname. Furthermore, during childhood ethnicity is associated with obesity and overweight. We suggest that the modifiable risk factors such as BMI, WC, behavior, consumption are interesting for early intervention in children in a developing country.

Youth-Onset Type 2 Diabetes: The Epidemiology of an Awakening Epidemic

In this narrative review, we describe the epidemiology (prevalence, incidence, temporal trends, and projections) of type 2 diabetes among children and adolescents (<20 years), focusing on data from the U.S. and reporting global estimates where available. Secondarily, we discuss the clinical course of youth-onset type 2 diabetes, from prediabetes to complications and comorbidities, drawing comparisons with youth type 1 diabetes to highlight the aggressive course of this condition, which, only recently, has become recognized as a pediatric disease by health care providers. Finally, we end with an overview of emerging topics in type 2 diabetes research that have potential to inform strategies for effective preventive action at the community and individual levels.

Stratifying risk for onset of type 1 diabetes using islet autoantibody trajectory clustering

AIMS/HYPOTHESIS

Islet autoantibodies can be detected prior to the onset of type 1 diabetes and are important tools for aetiologic studies, prevention trials and disease screening. Current risk stratification models rely on the positivity status of islet autoantibodies alone, but additional autoantibody characteristics may be important for understanding disease onset. This work aimed to determine if a data-driven model incorporating characteristics of islet autoantibody development, including timing, type and titre, could stratify risk for type 1 diabetes onset.

METHODS

Data on autoantibodies against GAD (GADA), tyrosine phosphatase islet antigen-2 (IA-2A) and insulin (IAA) were obtained for 1,415 children enrolled in The Environmental Determinants of Diabetes in the Young study with at least one positive autoantibody measurement from years 1 to 12 of life. Unsupervised machine learning algorithms were trained to identify clusters of autoantibody development based on islet autoantibody timing, type and titre. Risk for type 1 diabetes across each identified cluster was evaluated using time-to-event analysis.

RESULTS

We identified 2-4 clusters in each year cohort that differed by autoantibody timing, titre and type. During the first 3 years of life, risk for type 1 diabetes onset was driven by membership in clusters with high titres of all three autoantibodies (1-year risk: 20.87-56.25%, 5-year risk: 67.73-69.19%). Type 1 diabetes risk transitioned to type-specific titres during ages 4 to 8, as clusters with high titres of IA-2A (1-year risk: 20.88-28.93%, 5-year risk: 62.73-78.78%) showed faster progression to diabetes compared with high titres of GADA (1-year risk: 4.38-6.11%, 5-year risk: 25.06-31.44%). The importance of high GADA titres decreased during ages 9 to 12, with clusters containing high titres of IA-2A alone (1-year risk: 14.82-30.93%) or both GADA and IA-2A (1-year risk: 8.27-25.00%) demonstrating increased risk.

CONCLUSIONS/INTERPRETATION

This unsupervised machine learning approach provides a novel tool for stratifying risk for type 1 diabetes onset using multiple autoantibody characteristics. These findings suggest that age-dependent changes in IA-2A titres modulate risk for type 1 diabetes onset across 12 years of life. Overall, this work supports incorporation of islet autoantibody timing, type and titre in risk stratification models for aetiologic studies, prevention trials and disease screening.

Prevalence and Associated Clinical Features of Type 1 Diabetes Mellitus Among Children Presented to a Tertiary Health Care Center of Himalayan Foothills

Introduction Diabetes Mellitus (DM) is a complex metabolic disorder characterized by chronic hyperglycemia. Knowing its prevalence, associated clinical features, and complications is essential for diagnosing children having diabetes-like clinical features. Since there is a limited study from India and no similar study from this geographical part, the present study was carried out. Material and method It is a cross-sectional study, which includes children aged 1-18 years presented to the pediatric outpatient department (OPD), inpatient department (IPD), and emergency with clinical features of Type 1 Diabetes Mellitus (T1DM). The enrolled cases were assessed for confirmation of T1DM, and clinical features and associated complications were recorded in the case record form. Result A total of 218 children with clinical features of T1DM were enrolled, out of which 32 (14.7%) had T1DM. Among the 32 T1DM patients, 31 (96.9%) of the participants presented with polyuria, 29 (90.6%) had polydipsia, and 13 (40.6%) had polyphagia. Out of 32 children, 3 (9.38%) had diabetic neuropathy, and 1 (3.1%) had diabetic retinopathy. Conclusion We found that many children with diabetes have clinical features of T1DM and uncontrolled blood sugar. This emphasizes the need for early detection and treatment to prevent long-term complications.

Estimating incidence of type 1 and type 2 diabetes using prevalence data: the SEARCH for Diabetes in Youth study

BACKGROUND

Incidence is one of the most important epidemiologic indices in surveillance. However, determining incidence is complex and requires time-consuming cohort studies or registries with date of diagnosis. Estimating incidence from prevalence using mathematical relationships may facilitate surveillance efforts. The aim of this study was to examine whether a partial differential equation (PDE) can be used to estimate diabetes incidence from prevalence in youth.

METHODS

We used age-, sex-, and race/ethnicity-specific estimates of prevalence in 2001 and 2009 as reported in the SEARCH for Diabetes in Youth study. Using these data, a PDE was applied to estimate the average incidence rates of type 1 and type 2 diabetes for the period between 2001 and 2009. Estimates were compared to annual incidence rates observed in SEARCH. Precision of the estimates was evaluated using 95% bootstrap confidence intervals.

RESULTS

Despite the long period between prevalence measures, the estimated average incidence rates mirror the average of the observed annual incidence rates. Absolute values of the age-standardized sex- and type-specific mean relative errors are below 8%.

CONCLUSIONS

Incidence of diabetes can be accurately estimated from prevalence. Since only cross-sectional prevalence data is required, employing this methodology in future studies may result in considerable cost savings.

Projections of Type 1 and Type 2 Diabetes Burden in the U.S. Population Aged <20 Years Through 2060: The SEARCH for Diabetes in Youth Study

OBJECTIVE

To project the prevalence and number of youths with diabetes and trends in racial and ethnic disparities in the U.S. through 2060.

RESEARCH DESIGN AND METHODS

Based on a mathematical model and data from the SEARCH for Diabetes in Youth study for calendar years 2002-2017, we projected the future prevalence of type 1 and type 2 diabetes among youth aged <20 years while considering different scenarios of future trends in incidence.

RESULTS

The number of youths with diabetes will increase from 213,000 (95% CI 209,000; 218,000) (type 1 diabetes 185,000, type 2 diabetes 28,000) in 2017 to 239,000 (95% CI 209,000; 282,000) (type 1 diabetes 191,000, type 2 diabetes 48,000) in 2060 if the incidence remains constant as observed in 2017. Corresponding relative increases were 3% (95% CI -9%; 21%) for type 1 diabetes and 69% (95% CI 43%; 109%) for type 2 diabetes. Assuming that increasing trends in incidence observed between 2002 and 2017 continue, the projected number of youths with diabetes will be 526,000 (95% CI 335,000; 893,000) (type 1 diabetes 306,000, type 2 diabetes 220,000). Corresponding relative increases would be 65% (95% CI 12%; 158%) for type 1 diabetes and 673% (95% CI 362%; 1,341%) for type 2 diabetes. In both scenarios, substantial widening of racial and ethnic disparities in type 2 diabetes prevalence are expected, with the highest prevalence among non-Hispanic Black youth.

CONCLUSIONS

The number of youths with diabetes in the U.S. is likely to substantially increase in future decades, which emphasizes the need for prevention to attenuate this trend.

Prevalence and Predictors of Household Food Insecurity and Supplemental Nutrition Assistance Program Use in Youth and Young Adults With Diabetes: The SEARCH for Diabetes in Youth Study

OBJECTIVE

To assess the prevalence of household food insecurity (HFI) and Supplemental Nutrition Assistance Program (SNAP) participation among youth and young adults (YYA) with diabetes overall and by type, and sociodemographic characteristics.

RESEARCH DESIGN AND METHODS

The study included participants with youth-onset type 1 diabetes and type 2 diabetes from the SEARCH for Diabetes in Youth study. HFI was assessed using the 18-item U.S. Household Food Security Survey Module (HFSSM) administered from 2016 to 2019; three or more affirmations on the HFSSM were considered indicative of HFI. Participants were asked about SNAP participation. We used χ2 tests to assess whether the prevalence of HFI and SNAP participation differed by diabetes type. Multivariable logistic regression models were used to examine differences in HFI by participant characteristics.

RESULTS

Of 2,561 respondents (age range, 10-35 years; 79.6% ≤25 years), 2,177 had type 1 diabetes (mean age, 21.0 years; 71.8% non-Hispanic White, 11.8% non-Hispanic Black, 13.3% Hispanic, and 3.1% other) and 384 had type 2 diabetes (mean age, 24.7 years; 18.8% non-Hispanic White, 45.8% non-Hispanic Black, 23.7% Hispanic, and 18.7% other). The overall prevalence of HFI was 19.7% (95% CI 18.1, 21.2). HFI was more prevalent in type 2 diabetes than type 1 diabetes (30.7% vs. 17.7%; P <  0.01). In multivariable regression models, YYA receiving Medicaid or Medicare or without insurance, whose parents had lower levels of education, and with lower household income had greater odds of experiencing HFI. SNAP participation was 14.1% (95% CI 12.7, 15.5), with greater participation among those with type 2 diabetes compared with those with type 1 diabetes (34.8% vs. 10.7%; P < 0.001).

CONCLUSIONS

Almost one in three YYA with type 2 diabetes and more than one in six with type 1 diabetes reported HFI in the past year-a significantly higher prevalence than in the general U.S. population.

Household Food Insecurity and Fear of Hypoglycemia in Adolescents and Young Adults With Diabetes and Parents of Youth With Diabetes

OBJECTIVE

To evaluate the relation between household food insecurity (HFI) and fear of hypoglycemia among young adults with type 1 and type 2 diabetes and adolescents with type 1 diabetes and their parents.

RESEARCH DESIGN AND METHODS

We analyzed cross-sectional data of 1,676 young adults with youth-onset diabetes (84% type 1, 16% type 2) and 568 adolescents (<18 years old; mean age 15.1 years) with type 1 diabetes from the SEARCH for Diabetes in Youth study. Adult participants and parents of adolescent participants completed the U.S. Household Food Security Survey Module. Adults, adolescents, and parents of adolescents completed the Hypoglycemia Fear Survey, where answers range from 1 to 4. The outcomes were mean score for fear of hypoglycemia and the behavior and worry subscale scores. Linear regression models identified associations between HFI and fear of hypoglycemia scores.

RESULTS

Adults with type 1 diabetes experiencing HFI had higher fear of hypoglycemia scores (0.22 units higher for behavior, 0.55 units for worry, 0.40 units for total; all P < 0.0001) than those without HFI. No differences by HFI status were found for adolescents with type 1 diabetes. Parents of adolescents reporting HFI had a 0.18 unit higher worry score than those not reporting HFI (P < 0.05). Adults with type 2 diabetes experiencing HFI had higher fear of hypoglycemia scores (0.19 units higher for behavior, 0.35 units for worry, 0.28 units for total; all P < 0.05) than those in food secure households.

CONCLUSIONS

Screening for HFI and fear of hypoglycemia among people with diabetes can help providers tailor diabetes education for those who have HFI and therefore fear hypoglycemia.

A Longitudinal View of Disparities in Insulin Pump Use Among Youth with Type 1 Diabetes: The SEARCH for Diabetes in Youth Study

Objective: To evaluate changes in insulin pump use over two decades in a national U.S. sample. Research Design and Methods: We used data from the SEARCH for Diabetes in Youth study to perform a serial cross-sectional analysis to evaluate changes in insulin pump use in participants <20 years old with type 1 diabetes by race/ethnicity and markers of socioeconomic status across four time periods between 2001 and 2019. Multivariable generalized estimating equations were used to assess insulin pump use. Temporal changes by subgroup were assessed through interactions. Results: Insulin pump use increased from 31.7% to 58.8%, but the disparities seen in pump use persisted and were unchanged across subgroups over time. Odds ratio for insulin pump use in Hispanic (0.57, confidence interval [95% CI] 0.45-0.73), Black (0.28, 95% CI 0.22-0.37), and Other race (0.49, 95% CI 0.32-0.76) participants were significantly lower than White participants. Those with ≤high school degree (0.39, 95% CI 0.31-0.47) and some college (0.68, 95% CI 0.58-0.79) had lower use compared to those with ≥bachelor's degree. Those with public insurance (0.84, 95% CI 0.70-1.00) had lower use than those with private insurance. Those with an annual household income <$25K (0.43, 95% CI 0.35-0.53), $25K-$49K (0.52, 95% CI 0.43-0.63), and $50K-$74K (0.79, 95% CI 0.66-0.94) had lower use compared to those with income ≥$75,000. Conclusion: Over the past two decades, there was no improvement in the racial, ethnic, and socioeconomic inequities in insulin pump use, despite an overall increase in use. Studies that evaluate barriers or test interventions to improve technology access are needed to address these persistent inequities.

Applying the use of shared medical appointments (SMAs) to improve continuous glucose monitor (CGM) use, glycemic control, and quality of life in marginalized youth with type 1 diabetes: Study protocol for a pilot prospective cohort study

Background

Continuous glucose monitors (CGMs) have been associated with improved glycemic control and diabetes-related quality of life in youth with type 1 diabetes (T1D), however use is lowest among youth from low-income households and racial/ethnic minorities. Shared medical appointments (SMAs) have been shown to improve glycemic control and reduce diabetes distress in adolescents with T1D, but a focus on marginalized youth has been lacking. This prospective cohort pilot study will assess feasibility and acceptability of the SMA intervention and impact on CGM uptake and sustained use, glycemic control, and diabetes distress in marginalized youth with elevated hemoglobin A1c (HbA1C).

Methods

The pilot study will recruit 20 publicly insured youth with T1D aged 8-12 years who identify as non-Hispanic Black or Latinx and have had at least one HbA1C value > 8% in the past year and their primary caretaker. The trial will employ an enrollment visit, SMA visits every 3 months over a 12-month study period, and a 6-month follow-up observational period. Feasibility measures include proportion of eligible youth successfully recruited for participation, proportion initiating CGM, SMA attendance, and retention through study completion. Acceptability will be assessed using satisfaction surveys. Changes in glycemic control will be assessed using CGM metrics and A1c from baseline to completion of the 12-month SMA intervention, as well as 3 and 6-months after completion of the SMA intervention.

Conclusion

Implementing SMAs for marginalized youth has the potential to address diabetes disparities by optimizing clinical and psychosocial outcomes for the most vulnerable youth living with T1D.Trial Registration: https://clinicaltrials.gov/ct2/show/NCT05431686.

Psychosocial Outcomes in Adolescents With Type 1 Diabetes: Associations With Grade Level and Disease Duration

INTRODUCTION

The purpose of this study was to examine anxiety and depressive symptoms in adolescents with type 1 diabetes (T1D) to determine differences based on grade level and disease duration.

METHOD

We conducted a secondary data analysis of adolescents with T1D, which included demographic characteristics, general anxiety symptoms, and depressive symptoms.

RESULTS

Of the 147 adolescents included in the analysis, 32% (n=47) were in middle school and 68% (n=100) were in high school. Most had been diagnosed with diabetes for less than 3 years (67.3%, n=99). When controlling for covariates, middle schoolers were more likely to report clinically significant depressive symptoms compared to their high school peers (β = 0.83, p = 0.008).

DISCUSSION

Younger adolescents may be at a higher risk of a clinically significant symptom burden from depression and should be screened regularly. Future research should include tailoring psychosocial interventions specifically to an adolescent's age and disease duration.

The Effects of COVID-19 Pandemic and Lockdown on Pediatric Nutritional and Metabolic Diseases: A Narrative Review

SARS-CoV-2 was the first pathogen implied in a worldwide health emergency in the last decade. Containment measures have been adopted by various countries to try to stop infection spread. Children and adolescents have been less clinically involved by COVID-19, but the pandemic and consequent containment measures have had an important influence on the developmental ages. The COVID-19 pandemic and the subsequent lockdown periods have influenced the nutrition and lifestyles of children and adolescents, playing an epigenetic role in the development of nutrition and metabolic diseases in this delicate age group. The aim of our review is to investigate the effects of the COVID-19 pandemic on nutrition and metabolic diseases in the developmental ages. Moreover, we have analyzed the effect of different containment measures in children and adolescents. An increase in being overweight, obesity and type 2 diabetes mellitus has been detected. Concerning type 1 diabetes mellitus, although a validated mechanism possibly linking COVID-19 with new onset type 1 diabetes mellitus has not been yet demonstrated, barriers to the accessibility to healthcare services led to delayed diagnosis and more severe presentation of this disease. Further studies are needed to better investigate these relationships and to establish strategies to contain the nutritional and metabolic impact of new pandemics in the developmental ages.