The benefits of maintaining glycemic control for persons with diabetes include delaying the onset and slowing the progression of macro- and microvascular complications. However, many children and adolescents with diabetes do not regularly meet target hemoglobin A1c levels. Our pilot project aimed to improve glycemic control among children and adolescents, 8 to 17 years, with insulin-dependent diabetes at greatest risk for complications and enrolled in North Carolina Medicaid at least 1 month during the study period.

We used a pre-intervention post-intervention design. We implemented an intensive care management intervention, led by a nurse practitioner. The nursing intervention consisted of tele-health visits, emails, and MyChart messages with patients and caregivers to supplement in-clinic visits. Therapeutic communication skills were applied, including motivational interviewing techniques and unconditional positive regard. We measured glycosylated hemoglobin (HbA1c) at 6-month intervals before, during, and after the intervention period.

Mean participant (n = 12) HbA1c levels dropped by 1.5 percentage points from baseline (12.8%) to the 6-month study end point (11.3%). Seventy-five percent of participants experienced some decrease in HbA1c during the study period.

This pilot project demonstrated short-term success of care management and therapeutic communication interventions in reducing HbA1c levels among a sample of children and adolescents with complicated case histories. Our findings are consistent with other studies that found telephonic nursing support, care management, and motivational interviewing to be effective interventions among pediatric populations. These studies suggest that nurses can implement relatively low-resource interventions that add value to health services delivery for children and adolescents with insulin-dependent diabetes. However, more studies are needed to understand which combinations of interventions may be most effective.

Youth with type 1 diabetes and their families engage in complex health behaviors to help manage blood glucose levels and to reduce the risk of serious health complications. Given well-documented health disparities in pediatric diabetes, rapid and equitable assessment of diabetes self-care can help identify potential areas where support is needed. This purpose of this study was to (a) develop a short-form of the Self-Care Inventory-Revised (SCI-R) and (b) evaluate validity, reliability, and differential item functioning (DIF) across several socio-illness-demographic variables of the full and short-form SCI-R.

Participants were 181 adolescent-caregiver dyads from the Predicting Resiliency in Youth with Type 1 Diabetes (PRYDE) study who completed a 15-item version of the SCI-R. Adolescents (age: M = 14.64, SD =1.70, range 12-18 years), identifying as female (n = 92), male (n = 92), Black/AA (57%), and/or White (43%), also completed diabetes-specific measures of stress and Health-related Quality of Life (T1D-HRQoL). Youths' most recent hemoglobin A1c (HbA1c) values were extracted from their medical records.

Initial items selected based on the six highest factor loadings of 15 were evaluated using DIF analyses. The final 6-item youth and caregiver SCI-SF6 totals correlated with HbA1c, stress, and T1D-HRQoL. They were invariant across participant dyads at the scalar level (root mean squared error of approximation =.077, 90% CI: .056-.098; comparative fit index =.971, standardized root mean square residual = .0490). DIF analyses failed to reject the null hypothesis for item bias factor loadings or item thresholds across age, family income, HbA1c, racial category, gender, and illness duration.

The results support initial evidence of equitable assessment, measurement invariance, validity, and reliability for SCI-SF6 across important socio-illness-demographic variables.

Background: The Caregiver Contribution to Self-Care of Diabetes Inventory (CC-SCODI) is an instrument grounded in the middle-range theory of self-care of chronic illness. It is designed to measure how caregivers support individuals with diabetes mellitus in carrying out self-care activities. Effective tools are essential for clinicians and researchers to evaluate factors influencing self-care, including caregivers' contributions. This study aimed to assess the reliability and validity of the Spanish translation of the CC-SCODI. Methods: A total of 201 caregivers of individuals with Type 1 Diabetes Mellitus (T1DM) and Type 2 Diabetes Mellitus (T2DM) were recruited for participation in this cross-sectional study. Participants were selected through convenience sampling at a university hospital. Before administration, the survey questions were translated and culturally adapted to ensure appropriateness for both patients and caregivers. Confirmatory factor analysis (CFA) was performed on each of the CC-SCODI subscales using models fitted to the relevant indices. Results: The initial construction of the four-dimensional tool was verified. The internal consistency of the four subscales was assessed using Cronbach's α to measure the caregiver contribution to patients' self-care maintenance (α = 0.725), self-care monitoring (α = 0.728), self-care management (α = 0.729), and caregiver self-efficacy in contributing to patient self-care (α = 0.921). Model fit indices demonstrated a chi-square value of 1.028 with 773 degrees of freedom. CFA indicated an excellent model fit, confirming the reliability and validity of the proposed structure. Conclusions: The internal consistency and reliability of the Spanish version of the CC-SCODI were deemed adequate. Due to its strong psychometric properties, this instrument is considered appropriate for evaluating the contribution of caregivers to the self-care behaviors of Spanish-speaking individuals with diabetes.

Background: Type 1 diabetes (T1D) is a chronic autoimmune disorder characterized by the destruction of pancreatic β-cells, leading to absolute insulin deficiency. Despite advancements in insulin therapy and glucose monitoring, achieving optimal glycemic control remains a challenge. Emerging technologies and novel therapeutic strategies are transforming the landscape of T1D management, offering new opportunities for improved outcomes. Methods: This review synthesizes recent advancements in T1D treatment, focusing on innovations in continuous glucose monitoring (CGM), automated insulin delivery systems, smart insulin formulations, telemedicine, and artificial intelligence (AI). Additionally, we explore biomedical approaches such as stem cell therapy, gene editing, immunotherapy, gut microbiota modulation, nanomedicine-based interventions, and trace element-based therapies. Results: Advances in digital health, including CGM integration with hybrid closed-loop insulin pumps and AI-driven predictive analytics, have significantly improved real-time glucose management. AI and telemedicine have enhanced personalized diabetes care and patient engagement. Furthermore, regenerative medicine strategies, including β-cell replacement, CRISPR-based gene editing, and immunomodulatory therapies, hold potential for disease modification. Probiotics and microbiome-targeted therapies have demonstrated promising effects in maintaining metabolic homeostasis, while nanomedicine-based trace elements provide additional strategies to regulate insulin sensitivity and oxidative stress. Conclusions: The future of T1D management is shifting toward precision medicine and integrated technological solutions. While these advancements present promising therapeutic avenues, challenges such as long-term efficacy, safety, accessibility, and clinical validation must be addressed. A multidisciplinary approach, combining biomedical research, artificial intelligence, and nanotechnology, will be essential to translate these innovations into clinical practice, ultimately improving the quality of life for individuals with T1D.

Background: Neighborhood environment, which includes multiple social drivers of health, has been associated with a higher incidence of chronic conditions in adult cohorts. We examine if neighborhood environment is associated with glycosylated hemoglobin (HbA1c) and body mass index (BMI) as a percentage of the 95th percentile (BMIp95) for youth with overweight and obesity. Methods: Cohort study using electronic health record data from a large Midwestern Children's Hospital. Youth aged 8-16 years qualified for the study with a documented BMI ≥ 85th percentile and two HbA1c test results between January 1, 2017, and December 31, 2019. Neighborhood environment was measured using area deprivation index (ADI). Results: Of the 1,309 youth that met eligibility, mean age was 14.0 ± 3.2 years, 58% female, 48% Black, and 39% White. At baseline, the average (SD) of BMIp95 was 126.1 (26.14) and HbA1c5.4 (0.46). 670 (51%) lived in a more deprived (MD) area. The median time to follow-up was 15-months. Youth that lived in a MD area had a significantly higher follow-up HbA1c (β = 0.034, p = 0.03, 95% confidence interval [CI]: [0.00, 0.06]) and BMIp95 (β = 1.283, p = 0.03, 95% CI: [0.13, 2.44]). An increase in BMIp95 was associated with worse HbA1c for most youth that lived in a MD area. Conclusions: Youth that lived in an MD area had a small but statistically significant higher level of HbA1c and BMIp95 at follow-up. Public health surveillance systems should include ADI as a risk factor for longitudinal progression of cardiometabolic diseases.

Diabetes mellitus represents a major public health challenge worldwide, with type 2 diabetes mellitus (T2DM) accounting for the majority of cases. Urbanization and lifestyle changes are reportedly contributing to the increasing incidence of T2DM worldwide. The prevalence of T2DM is also increasing among women who wish to become pregnant, owing to the growing overall proportion of women with T2DM, the increasing prevalence of obesity, and the rising average age of childbirth. Preconception care is warranted in this demographic to optimize glycemic control, improve pregnancy outcomes, and reduce the risk of congenital anomalies and perinatal complications. Educational support that includes not only glycemic control but also increased physical activity (PA) and lifestyle modifications is important to delivering effective preconception care. Herein, we report the case of a woman in her 30s with T2DM, hypertension, and dyslipidemia. Her early glycemic control was suboptimal (glycated hemoglobin: 8.9%, time in range (TIR): 36.6%), her pregnancy preparation was delayed, and a personalized PA program was eventually introduced that included continuous glucose monitoring (CGM) reviewed by a physical therapist. The intervention lasted four months and included continuous feedback and adjustments to the timing, intensity, and activity goals of the patient's exercise regimen based on her CGM trends. A specific PA target of 8,000-10,000 steps per day was established to promote increased daily movement. The intervention also incorporated a combination of aerobic exercise (walking) and resistance training tailored to the patient's condition and lifestyle. This intervention led to improvements in her blood glucose markers, treatment satisfaction related to diabetes, health-related quality of life, and independence. The patient's TIR increased from 36.6% to 77%, and her PA increased from 2500 to 9500 steps/day. This case study highlights the potential of CGM to promote real-time feedback and behavior modification in patients with T2DM, particularly those attempting pregnancy. PA support combined with CGM can effectively manage blood glucose levels, increase motivation, and improve overall health in ways that are highly beneficial to integrate into preconception care regimens. This study emphasizes that PA support combined with CGM is effective for increasing glycemic control and PA levels, thus improving lifestyle habits and preparing women with T2DM for pregnancy. We advocate for the wider adoption of PA support interventions combined with CGM by physical therapists as a standard practice in preconception care and emphasize the role of this approach in terms of improving long-term metabolic health prior to conception. Further research is warranted to validate these findings and optimize intervention protocols.

This study was planned to evaluate long-term post-transplant complications in patients who underwent transplantation with the diagnosis of Fanconi anemia (FA) in childhood in our bone marrow transplantation unit and who were still being followed. It was predicted that the results would show the critical importance of determining disease-specific post-transplant long-term follow-up plans and putting them into practice in terms of early detection of complications and improving the survival rates and quality of life of FA patients.

In this single-center, cross-sectional study, according to current recommendations, we analyzed the long-term outcomes of 36 patients with FA with a median age of 18.1 years (range: 6.1-36 years, male/female ratio: 24/12) who underwent HSCT in the Pediatric Bone Marrow Transplantation Unit between 1995 and 2019 and survived at least 1 year following the transplantation.

The median long-term follow-up time was 8 years (range: 1-25 years). Gonadal dysfunction was detected in approximately 35% of our patients; more specifically, 31% of the patients had hypergonadotropic hypogonadism and 4% had hypogonadotropic hypogonadism. When the patients were evaluated for growth impairment, 7 of 12 patients who had reached their final adult heights and 12 of 21 patients who had not yet completed their growth had height standard deviation (SD) scores below -2 SDs. Three patients (9%) developed subclinical hypothyroidism, 2 (6%) had overt hypothyroidism, and 1 (3%) had central hypothyroidism. Although none of our patients fully met the criteria for metabolic syndrome, 23% had insulin resistance and 39% had dyslipidemia. Evaluation of organ dysfunctions revealed that nearly 50% of the patients had obstructive and 21% had restrictive changes in their pulmonary function tests. Hepatosteatosis was detected in 15% of the patients and mild valve dysfunction was detected in 50% of evaluable patients. Three patients developed secondary malignancies. Squamous cell cancer developed in 2 patients and basal cell cancer in 1 patient.

A risk-defined multidisciplinary approach for the long-term follow-up of children with FA undergoing HSCT is essential for early detection and management of late effects.

Hyperglycemia significantly initiates oxidative stress in children diagnosed with type 1 diabetes (T1DM). This study investigates the differences in oxidative stress markers between pediatric patients with T1DM and those experiencing transient hyperglycemia. In this case-control study, 42 children diagnosed with T1DM, according to ISPAD (International Society for Pediatric and Adolescent Diabetes), and their healthy counterparts, aged 1-6 years old, participated. Blood samples were analyzed for oxidative stress biomarkers such as malondialdehyde (MDA) and glutathione peroxidase (GPx). There was no statistically significant association found between the A1c % and age, BMI, and insulin dose (p > 0.05). A negative correlation was found between Se, Zn, cholesterol, GSH, and GPx (p < 0.05), as well as a statistically meaningful positive correlation with the A1c % (p < 0.001). GSH exhibited a statistically significant negative correlation (p < 0.001) with diabetic group. In comparison to control participants, plasma MDA levels (1.3 ± 0.36 µmol/L) had already increased significantly. MDA did correlate in a diabetic group with triglyceride levels (p > 0.0001) or total cholesterol. In the healthy group, the cholesterol levels were normal and apparently did not influence MDA levels. The oxidative state remained unchanged in the healthy participants experiencing temporary hyperglycemia, even though T1DM altered the link between selenium, zinc, and lipids.

In children with type 1 diabetes (T1D), diabetic ketoacidosis (DKA) triggers a significant inflammatory response; however, the specific effector proteins and signaling pathways involved remain largely unexplored. This pediatric case-control study utilized plasma proteomics to explore protein alterations associated with severe DKA and to identify signaling pathways that associate with clinical variables.

We conducted a proteome analysis of plasma samples from 17 matched pairs of pediatric patients with T1D; one cohort with severe DKA and another with insulin-controlled diabetes. Proximity extension assays were used to quantify 3072 plasma proteins. Data analysis was performed using multivariate statistics, machine learning, and bioinformatics.

This study identified 214 differentially expressed proteins (162 upregulated, 52 downregulated; adj P < 0.05 and a fold change > 2), reflecting cellular dysfunction and metabolic stress in severe DKA. We characterized protein expression across various organ systems and cell types, with notable alterations observed in white blood cells. Elevated inflammatory pathways suggest an enhanced inflammatory response, which may contribute to the complications of severe DKA. Additionally, upregulated pathways related to hormone signaling and nitrogen metabolism were identified, consistent with increased hormone release and associated metabolic processes, such as glycogenolysis and lipolysis. Changes in lipid and fatty acid metabolism were also observed, aligning with the lipolysis and ketosis characteristic of severe DKA. Finally, several signaling pathways were associated with clinical biochemical variables.

Our findings highlight differentially expressed plasma proteins and enriched signaling pathways that were associated with clinical features, offering insights into the pathophysiology of severe DKA.

Background: Poor glycemic control in type 1 diabetes (T1D) in children leads to a higher risk of diabetic complications. In the pediatric department at the North Denmark Regional Hospital, only one-third of all children with diabetes were well-regulated, defined as HbA1c no more than 58 mmol/mol (7.5%), in 2016. Therefore, a novel follow-up model was developed to increase the proportion of children with well-regulated T1Ds. The aim of this study was to evaluate the effect of a standardized follow-up model for poorly regulated diabetes on mean HbA1c. Methods: All children aged 0-18 with T1Ds were included in this study. A novel standardized follow-up model was developed if HbA1c was greater than 58 mmol/mol (7.5%), in which children were followed more closely until improvement in glycemic control. Results: In the reference year, only one-third of children with diabetes were well-regulated and 19% were poorly regulated (HbA1c greater than 75 mmol/mol (9.0%)). After fully implementing the model, two-thirds of the children had well-regulated diabetes, and only a few percent had poorly regulated diabetes. The mean HbA1c decreased by almost 10 mmol/mol (or 0.8%) from the reference year to the following years when the model was fully implemented. Conclusion: This follow-up model for poorly regulated diabetes increased the fraction of children with well-regulated diabetes in our clinic and significantly decreased mean HbA1c.

To understand experiences of using second-generation advanced hybrid closed-loop (AHCL) therapy in adolescents and young adults with chronically elevated glucose levels who were previously using multiple daily injections (MDI) therapy.

Semi-structured interviews with participants aged 13-25 years, on AHCL therapy for 3 months as part of a single-arm prospective study. Key inclusions: HbA1c ≥69 mmol/mol (8.5%); diabetes duration ≥1 year; and using MDI therapy prior to the study. Qualitative content analysis was used to identify themes and subthemes.

Interviews were conducted among 14 participants with mean age 19.4 ± 4.3 years and mean baseline HbA1c 90 ± 25 mmol/mol (10.4 ± 4.5%). Three themes were identified: (1) substantially improved glucose levels improved perceptions of overall health; (2) features of AHCL aid in adoption and ongoing self-management; and (3) burden of care was reduced through automation of insulin delivery. Overall, there were positive impacts on physical, mental and social well-being. Participants were willing to overlook minor frustrations with AHCL because of the vast benefits that they had experienced. Four participants reported transient pseudo-hypoglycaemia: symptoms of hypoglycaemia when objectively measured glucose was in the clinically recommended range (3.9-10 mmol/L, 70-180 mg/dL).

Transition to AHCL therapy positively impacted diabetes management in adolescents and youth with chronically elevated glucose levels. It appears to create a window of opportunity in which youth may re-engage with diabetes management. Pseudo-hypoglycaemia can occur during the transition to AHCL. This could be a barrier to AHCL uptake and is likely to require individualised support.

Few studies were conducted to examine the correlation between the anxiety symptoms, depressive symptoms, self-efficacy, and social support variables and type 1 diabetes in developing countries, including Jordan. Thus, this study was conducted to assess the correlation between these psychosocial factors and self-care management among Jordanian adolescents with type 1 diabetes.

A cross-sectional, descriptive correlational design was used to perform a study among adolescents with type 1 diabetes (N = 351) aged 14-18 years who attended primary healthcare centers clinics, and diabetic clinics related to hospitals in Amman Governorate, Jordan. A convenience sampling method was used to recruit participants. The data were collected using self-reported questionnaire during the period from June to December 2023.

The results revealed that around 61.0 % of the sample were males and 39 % female, and 74.9 % of the participants experienced type 1 diabetes for more than one year. Only, 4.3 % of the participants had the recommended HbA1c (< 7.5 %). The participants had high percentage anxiety and depressive symptoms, poor self-efficacy, moderate social support, and low self-care management. There was a correlation between self-efficacy, social support, and self-care management. Also, social support mediated the relationship between self-efficacy and self-care management. However, no relationship existed between anxiety and depressive symptoms and self-care management.

Screening for anxiety and depressive symptoms should be a significant element of care for adolescents with type 1 diabetes in outpatient clinics. Policymakers and healthcare professionals including pediatric nurses should develop strategies and education programs on self-care management to enhance self-care practices and management for adolescents with type 1 diabetes.

Daily, more and more people consume snack bars that may have an impact on blood glucose levels. The aim of the present study was to compare the acute effects of a common snack and a plant-based snack bar (PB) that was developed at the University of Thessaly as a functional diabetic snack on blood glucose and insulin in patients with type 2 diabetes mellitus (T2DM). Adults with T2DM (n = 10) treated with oral medications were studied in a randomized, crossover clinical trial. On each trial day, postprandial glucose and insulin levels were measured at 30, 60, 90, and 120 min, and a morning snack containing 25 g of carbohydrate was consumed. The procedure was carried out on 2 days, with one of the test meals being consumed on each day. Consumption of a PB snack bar resulted in a smaller and steeper increase in postprandial glucose and insulin levels compared with the usual snack, and there were significant differences 60 and 90 min after consumption of the two tested snacks. The PB snack bar is rich in protein, fiber, vitamins, and minerals and can therefore be suggested as a nutritious and convenient snack for patients with T2DM. In addition, the extract of the snack bar was tested for its bioactivity in human cell cultures.

Prevalence of diabetes in Arab region has significantly increased, resulting in a significant economic burden on healthcare systems. This surge can be attributed to obesity, rapid urbanization, changing dietary habits, and sedentary lifestyles. The Arab Diabetes Forum (ADF) has established localized recommendations to tackle the region's rising diabetes prevalence. The recommendations, which incorporate worldwide best practices, seek to enhance the quality of treatment for people with diabetes by raising knowledge and adherence among healthcare providers. The guidelines include comprehensive recommendations for screening, diagnosing, and treating type 1 and type 2 diabetes in children and adults for better overall health results.

Incidence of type 1 diabetes mellitus (T1DM) is increasing, and these patients often have poor glycemic control. Electronic dashboards summating patient data have been shown to improve patient outcomes in other conditions. In addition, educating patients on T1DM has shown to improve glycated hemoglobin (A1C) levels. We hypothesized that using data from the electronic dashboard to monitor defined diabetes management activities to implement population-based interventions would improve patient outcomes.

Inclusion criteria included patients aged 0 to 18 years at Phoenix Children's Hospital with T1DM. Patient data were collected via the electronic dashboard, and both diabetes management activities (A1C, patient admissions, and visits to the emergency department) and patient outcomes (patient education, appointment compliance, follow-up after hospital admission) were analyzed.

This study revealed that following implementation of the electronic dashboard, the percentage of patients receiving appropriate education increased from 48% to 80% (Z-score = 23.55, P < .0001), the percentage of patients attending the appropriate number of appointments increased from 50% to 68.2%, and the percentage of patients receiving follow-up care within 40 days after a hospital admission increased from 43% to 70%. The median A1C level decreased from 9.1% to 8.2% (Z-score = -6.74, P < .0001), and patient admissions and visits to the emergency department decreased by 20%.

This study shows, with the implementation of an electronic dashboard, we were able to improve outcomes for our pediatric patients with T1DM. This tool can be used at other institutions to improve care and outcomes for pediatric patients with T1DM and other chronic conditions.

To conduct systematic evaluation of the risk predictors of glycaemic control in children and adolescents with type 1 diabetes mellitus.

Cohort studies on risk predictors of glycaemic control in children and adolescents with type 1 diabetes were retrieved from CNKI, PubMed, Web of Science, Embase databases, etc. from the construction of the repository to 3 February 2023. Literature screening was conducted according to inclusion and exclusion criteria, then data extraction of region, sample size, age, follow-up time, risk predictors, outcome indicators, etc., and quality evaluation of The Newcastle-Ottawa Scale were conducted by two researchers while the third researcher makes decisions if there are disagreements. Finally, Revman5.4 and StataMP17 were used for meta-analysis.

A total of 29 studies were included, and the results showed that insulin pump [Weighed mean difference (WMD) = -.48, 95% CI (-.73, -.24), p < .01], high-frequency sensor monitoring, early use of insulin pumps, prospective follow-up male, white race, large body mass index-standardised scoring, conscientiousness, agreeableness of mothers, eicosapentaenoic acid, leucine and protein (p < .05) were beneficial for reducing HbA1c levels in children and adolescents with diabetes. Ketoacidosis [WMD = .39, 95% CI (.28, .50), p < .01], selective admission, higher HbA1c level at one time (p < .01), higher glutamate decarboxylase antibody at 1 month after diagnosis, lower socio-economic status, non-living with biological parents, non-two-parent family, family disorder, family history of diabetes and high carbohydrate intake (p < .05) increased HbA1c levels in children and adolescents with diabetes.

For children and adolescents with type 1 diabetes mellitus, the use of insulin pump, high-frequency sensor monitoring, prospective follow-up, good family support and reasonable diet are conducive to blood glucose control, while selective admission and DKA are not. Disease characteristics and demographic characteristics of children are closely related to subsequent blood glucose control, and the relationship between diagnosis age and blood glucose control needs to be further explored.

Real-time continuous glucose monitoring (CGM) is effective for diabetes management in cases of type 1 diabetes and adults with type 2 diabetes (T2D) but has not been assessed in adolescents and young adults (AYAs) with T2D. The objective of this pilot interventional study was to assess the feasibility and acceptability of real-time CGM use in AYAs with T2D.

Adolescents and young adults (13-21 years old) with T2D for six months or more and hemoglobin A1c (A1c) greater than 7%, on any Food and Drug Administration-approved treatment regimen, were included. After a blinded run-in period, participants were given access to a real-time CGM system for 12 weeks. The use and acceptability of the real-time CGM were evaluated by sensor usage, surveys, and focus group qualitative data.

Participants' (n = 9) median age was 19.1 (interquartile range [IQR] 16.8-20.5) years, 78% were female, 100% were people of color, and 67% were publicly insured. Baseline A1c was 11.9% (standard deviation ±2.8%), with median diabetes duration of 2.5 (IQR 1.4-6) years, and 67% were using insulin. Seven participants completed the study and demonstrated statistically significant improvement in diabetes-related quality of life, with the mean Pediatric Quality of Life inventory (PedsQL) diabetes score increasing from 70 to 75 after using CGM (P = .026). Focus group results supported survey results that CGM use among AYAs with T2D is feasible, can improve quality of life, and has the potential to modify behavior.

Real-time CGM is feasible and acceptable for AYAs with T2D and may improve the quality of life of patients with diabetes. Larger randomized controlled trials are needed to assess the effects on glycemic control and healthy lifestyle changes.

Insulin resistance, an increasingly prevalent characteristic among children and adolescents with obesity, is now recognized as a significant contributor to the development of type 2 diabetes mellitus (T2DM) and other metabolic diseases in individuals with obesity. Insulin resistance refers to a decrease in the sensitivity of peripheral tissues (primarily skeletal muscle, adipose tissue, and liver) to insulin, which is mainly characterized by impaired glucose uptake and utilization. Although the mechanisms underlying insulin resistance in children with obesity remain incompletely elucidated, several risk factors including lipid metabolism disorders, oxidative stress (OS), mitochondrial dysfunction, inflammation, and genetic factors have been identified as pivotal contributors to the pathogenesis of obesity-related insulin resistance. In this review, we comprehensively analyze relevant literature and studies to elucidate the underlying mechanisms of insulin resistance in childhood obesity. Additionally, we discuss treatment strategies for pediatric obesity from a perspective centered on improving insulin sensitivity, aiming to provide valuable insights for the prevention and management of pediatric obesity.

Prediabetes in children and adolescents is on the rise which has drawn significant attention over the past decade. It is an early warning sign of the underlying pathophysiological changes which in due course of time might compound into type II diabetes mellitus. The incidence of prediabetes in adolescents ranges from 4%-23% which is alarmingly high and requires active intervention from the system. We have discussed early identification of high-risk patients, prompt screening and active intervention to manage this growing problem.

Psychological factors and patients' health-related quality of life (HRQOL) affect the outcome of patients with type 1 diabetes mellitus (T1DM). In this study, we aimed to determine the HRQOL status in patients with T1DM and its association with glycemic control and medication adherence.

In this cross-sectional study, 227 T1DM patients were selected from the diabetes clinic, Imam Ali Hospital, Alborz University of Medical Sciences, and the Gabric database registry from 2020 to 2022. Demographic and diabetes characteristic checklist, medication adherence questionnaire (8-item Morisky Medication Adherence Scale (MMAS)), and QOL questionnaires (Short-Form-12 and PedsQL) were filled. Independent sample T-test was used to assess mean of QOL subscales with glycemic control and medication adherence. A logistic regression model was used to evaluate the association between glycemic control and medication adherence with QOl.

Overall QOL scores in adults and children were 33.4 ± 7.1 based on Short-Form-12 and 76.2 ± 17.8 based on PedsQL, respectively. It was demonstrated that adults with Moderate/High adherence had higher QOL (p-value = 0.007). Likewise, Children with good glycemic control had higher psychosocial health scores (0.048). Logistic regression analysis did not reveal a significant association between adherence and QOL or Glycemic control and QOL in both adjusted and crude models.

Better glycemic control and medication adherence in children and adults, respectively, are related to the psychological aspects of QOL. We suggest that emotional intelligence, which is replaced by other predictors during adulthood, may contribute to glycemic control in children in the early years following diagnosis.

The Diabetes Eating Problems Survey - Revised (DEPS-R) is commonly used to assess disordered eating behaviour (DEB) in individuals with type 1 diabetes and has advantages compared to other measures not specifically tailored to diabetes. A score ≥20 on the DEPS-R is used to indicate clinically significant DEB; however, it does not distinguish between eating disorder (ED) phenotypes necessary to guide treatment decisions, limiting clinical utility.

The current study used latent class analysis to identify distinct person-centred profiles of DEB in adults with type 1 diabetes using the DEPS-R. Analysis of Variance with Games Howell post-hoc comparisons was then conducted to examine the correspondence between the profiles and binge eating, insulin restriction and glycaemic control (HbA1c, mean blood glucose, and percent time spent in hyperglycaemia) during 3 days of assessment in a real-life setting.

Latent class analysis indicated a 4-class solution, with patterns of item endorsement suggesting the following profiles: Bulimia, Binge Eating, Overeating and Low Pathology. Differences in binge eating, insulin restriction and glycaemic control were observed between profiles during 3 days of at-home assessment. The Bulimia profile was associated with highest HbA1c and 3-day mean blood glucose.

There are common patterns of responses on the DEPS-R that appear to reflect different ED phenotypes. Profiles based on the DEPS-R corresponded with behaviour in the real-life setting as expected and were associated with different glycaemic outcomes. Results may have implications for the use of the DEPS-R in research and clinical settings.

To examine the prevalence of eating disorder symptoms (EDS) in 16 years and older individuals with insulin-dependent diabetes including both clinical and subclinical eating disorder symptoms.

We searched PubMed, Embase, Scopus, PsycINFO, and CINAHL databases to discover studies reporting prevalence of eating disorder symptoms in patients with insulin-dependent diabetes (both type 1 and type 2). We performed a meta-analysis to estimate the pooled prevalence of eating disorder symptoms and an independent meta-analysis to estimate the prevalence of insulin omission.

A total of 45 studies were included in the meta-analysis of eating disorder symptoms. Diabetes Eating Problem Survey (DEPS-R) was the most frequently used screening tool (in 43 % of studies, n = 20). The pooled prevalence of eating disorder symptoms was 24 % (95 % CI 0.21-0.28), whereas in studies using DEPS-R, it was slightly higher, 27 % (95 % CI 0.24-0.31), with the prevalence ratio (PR) of 1.1. The prevalence differed between screening tools (χ2 = 85.83, df = 8, p < .0001). The sex distribution was associated with the observed prevalences; in studies with a higher female prevalence (>58 %), the pooled eating disorder symptom prevalence was higher [30 % (95 % CI 0.26-0.34) vs. 18 % (95 % Cl 0.14-0.22), PR 1.7]. The prevalence of insulin omission was 21 % (95 % CI 0.13-0.33).

Eating disorder symptoms and insulin omission are common in patients with insulin-dependent diabetes regardless of age. DEPS-R is the most used screening tool. Studies with a higher proportion of female participants report higher prevalence rates.

Bardet-Biedl syndrome (BBS) is a genetic disorder characterized by early-onset obesity, polydactyly, genital and kidney anomalies, developmental delay and vision loss due to rod-cone dystrophy. BBS is an autosomal recessive disorder with >20 implicated genes. The genotype-phenotype relationship in BBS is not clear, and there may be additional modifying factors. The underlying mechanism is dysfunction of primary cilia. In BBS, receptor trafficking in and out of the cilia is compromised, affecting multiple organ systems. Along with early-onset obesity, hyperphagia is a prominent symptom and contributes significantly to clinical morbidity and caregiver burden. While there is no cure for BBS, setmelanotide is a new pharmacotherapy approved for treatment of obesity in BBS. The differential diagnosis for BBS includes other ciliopathies, such as Alstrom syndrome, and other genetic obesity syndromes, such as Prader-Willi syndrome. Careful clinical history and genetic testing can help determine the diagnosis and a multidisciplinary team is necessary to guide clinical management.

Blood glucose monitoring constitutes a pivotal element in the clinical management of Type 1 diabetes (T1D), a globally escalating metabolic disorder. Continuous glucose monitoring (CGM) devices have demonstrated efficacy in optimizing glycemic control, mitigating adverse health outcomes, and augmenting the overall quality of life for individuals afflicted with T1D. Recent progress in the field encompasses the refinement of electrochemical sensors, which enhances the effectiveness of blood glucose monitoring. This progress empowers patients to assume greater control over their health, alleviating the burdens associated with their condition, and contributing to the overall alleviation of the healthcare system. The introduction of novel medical devices, whether derived from existing prototypes or originating as innovative creations, necessitates adherence to a rigorous approval process regulated by the Food and Drug Administration (FDA). Diverse device classifications, stratified by their associated risks, dictate distinct approval pathways, each characterized by varying timelines. This review underscores recent advancements in blood glucose monitoring devices primarily based on electrochemical sensors and elucidates their regulatory journey towards FDA approval. The advent of innovative, non-invasive blood glucose monitoring devices holds promise for maintaining stringent glycemic control, thereby preventing T1D-associated comorbidities, and extending the life expectancy of affected individuals.

It is unclear whether cardiorespiratory fitness (CRF) and physical activity are lower among youths with type 1 diabetes (T1D) and type 2 diabetes (T2D) compared with youths without diabetes.

To describe the magnitude, precision, and constancy of the differences in CRF and physical activity among youths with and without diabetes.

MEDLINE, Embase, CINAHL, and SPORTDiscus were searched from January 1, 2000, to May 1, 2022, for eligible studies.

Observational studies with measures of CRF and physical activity in children and adolescents aged 18 years or younger with T1D or T2D and a control group were included.

Data extraction was completed by 2 independent reviewers. A random-effects meta-analysis model was used to estimate differences in main outcomes. The pooled effect estimate was measured as standardized mean differences (SMDs) with 95% CIs. The Preferred Reporting Items for Systematic Review and Meta-Analyses guideline was followed.

The main outcomes were objectively measured CRF obtained from a graded maximal exercise test and subjective or objective measures of physical activity. Subgroup analyses were performed for weight status and measurement type for outcome measures.

Of 7857 unique citations retrieved, 9 studies (755 participants) with measures of CRF and 9 studies (1233 participants) with measures of physical activity for youths with T2D were included; for youths with T1D, 23 studies with measures of CRF (2082 participants) and 36 studies with measures of PA (12 196 participants) were included. Random-effects models revealed that directly measured CRF was lower in youths with T2D (SMD, -1.06; 95% CI, -1.57 to -0.56; I2 = 84%; 9 studies; 755 participants) and in youths with T1D (SMD, -0.39; 95% CI, -0.70 to -0.09; I2 = 89%; 22 studies; 2082 participants) compared with controls. Random-effects models revealed that daily physical activity was marginally lower in youths with T1D (SMD, -0.29; 95% CI, -0.46 to -0.11; I2 = 89%; 31 studies; 12 196 participants) but not different among youths with T2D (SMD, -0.56; 95% CI, -1.28 to 0.16; I2 = 91%; 9 studies; 1233 participants) compared with controls. When analyses were restricted to studies with objective measures, physical activity was significantly lower in youths with T2D (SMD, -0.71; 95% CI, -1.36 to -0.05; I2 = 23%; 3 studies; 332 participants) and T1D (SMD, -0.67; 95% CI, -1.17 to -0.17; I2 = 93%; 12 studies; 1357 participants) compared with controls.

These findings suggest that deficits in CRF may be larger and more consistent in youths with T2D compared with youths with T1D, suggesting an increased risk for cardiovascular disease-related morbidity in adolescents with diabetes, particularly among those with T2D. The findings reinforce calls for novel interventions to empower youths living with diabetes to engage in regular physical activity and increase their CRF.

The main goal of therapeutic management of type 1 Diabetes Mellitus (T1DM) is to maintain optimal glycemic control to prevent acute and long-term diabetes complications and to enable a good quality of life. Postprandial glycemia makes a substantial contribution to overall glycemic control and variability in diabetes and, despite technological advancements in insulin treatments, optimal postprandial glycemia is difficult to achieve. Several factors influence postprandial blood glucose levels in children and adolescents with T1DM, including nutritional habits and adjustment of insulin doses according to meal composition. Additionally, hormone secretion, enteroendocrine axis dysfunction, altered gastrointestinal digestion and absorption, and physical activity play important roles. Meal-time routines, intake of appropriate ratios of macronutrients, and correct adjustment of the insulin dose for the meal composition have positive impacts on postprandial glycemic variability and long-term cardiometabolic health of the individual with T1DM. Further knowledge in the field is necessary for management of all these factors to be part of routine pediatric diabetes education and clinical practice. Thus, the aim of this report is to review the main factors that influence postprandial blood glucose levels and metabolism, focusing on macronutrients and other nutritional and lifestyle factors, to suggest potential targets for improving postprandial glycemia in the management of children and adolescents with T1DM.

This study aims to examine the relationship between parents' fear of hypoglycemia (FH) over a 1-year period and child glucose metrics in 126 families of youth recently diagnosed with type 1 diabetes (T1D).

Parents completed the Hypoglycemia Fear Survey for Parents (HFS-P) and uploaded 14 days of glucose data at a baseline, 6-month, and 12-month assessment.

Parents' HFS-P total and worry scores increased to a clinically meaningful degree from baseline to 6-month assessment, while multilevel models revealed within- and between-person variability in parents' HFS-P worry and behavior scores over time associated with child glycemia. Specifically, a significant negative relationship for within-person worry scores suggested that when parents reported higher than their average worry scores, their children recorded fewer glucose values in the target range, while within-person behavior scores suggested that when parents reported lower than their average behavior scores, their children recorded more values above the target range. There was also a negative relationship for between-person behavior scores with child glycated hemoglobin and a positive relationship for between-person behavior scores with child glucose values in the target range.

In the recent-onset period of T1D, parental FH worry and behavior associated with child glycemia possibly due to changes in parents' perceptions of their child's hypoglycemia risk. The clinically meaningful increases in parent FH in the recent-onset period and the negative association for between-person behavior scores with child glycated hemoglobin suggest that clinics should consider screening parents for FH, especially among parents of children with lower glycemic levels.

Diabetic retinopathy can be prevented with screening and early detection. We hypothesized that autonomous artificial intelligence (AI) diabetic eye exams at the point-of-care would increase diabetic eye exam completion rates in a racially and ethnically diverse youth population. AI for Children's diabetiC Eye ExamS (NCT05131451) is a parallel randomized controlled trial that randomized youth (ages 8-21 years) with type 1 and type 2 diabetes to intervention (autonomous artificial intelligence diabetic eye exam at the point of care), or control (scripted eye care provider referral and education) in an academic pediatric diabetes center. The primary outcome was diabetic eye exam completion rate within 6 months. The secondary outcome was the proportion of participants who completed follow-through with an eye care provider if deemed appropriate. Diabetic eye exam completion rate was significantly higher (100%, 95%CI: 95.5%, 100%) in the intervention group (n = 81) than the control group (n = 83) (22%, 95%CI: 14.2%, 32.4%)(p < 0.001). In the intervention arm, 25/81 participants had an abnormal result, of whom 64% (16/25) completed follow-through with an eye care provider, compared to 22% in the control arm (p < 0.001). Autonomous AI increases diabetic eye exam completion rates in youth with diabetes.

This study aims to describe the prototype development and testing of a serious game designed for Brazilian children with diabetes. Following an approach of user-centered design, the researchers assessed game's preferences and diabetes learning needs to develop a Paper Prototype. The gameplay strategies included diabetes pathophysiology, self-care tasks, glycemic management, and food group learning. Diabetes and technology experts (n = 12) tested the prototype during audio-recorded sessions. Next, they answered a survey to evaluate the content, organization, presentation, and educational game aspects. The prototype showed a high content validity ratio (0.80), with three items not achieving the critical values (0.66). Experts recommended improving the game content and food illustrations. This evaluation contributed to the medium-fidelity prototype version, which after testing with diabetes experts (n = 12) achieved high content validity values (0.88). One item did not meet the critical values. Experts suggested increasing the options of outdoor activities and meals. Researchers also observed and video-recorded children with diabetes (n = 5) playing the game with satisfactory interaction. They considered the game enjoyable. The interdisciplinary team plays an important role guiding the designers in the use of theories and real needs of children. Prototypes are a low-cost usability and a successful method for evaluating games.

This large type 1 diabetes cohort study showed that insulin pump utilization has increased over time and that use differs by sex, insurance type, and race/ethnicity. Insulin pump use was associated with more optimal A1C, increased use of continuous glucose monitoring (CGM), and lower rates of diabetic ketoacidosis and severe hypoglycemia. People who used an insulin pump with CGM had lower rates of acute events than their counterparts who used an insulin pump without CGM. These findings highlight the need to improve access of diabetes technology through provider engagement, multidisciplinary approaches, and efforts to address health inequities.

Poor glycemic control increases the risk of acute metabolic derangements and long-term consequences, which are the main causes of morbidity and mortality. Maintaining adequate glycemic control is challenging for children with diabetes, particularly in resource-limited settings. There is a paucity of data on the magnitude of poor glycemic control and its predisposing factors in Ethiopian particularly in this study setting. Hence, we aimed to assess the magnitude of poor glycemic control and its associated factors among children and adolescents with type 1 diabetic mellitus in Jugol and Hiwot Fana Compressive Specialized University Hospitals in Harar, eastern Ethiopia.

A facility-based cross-sectional study was conducted among 231 children and adolescents with type 1 diabetes mellitus in Jugol and Hiwot Fana Compressive Specialized University Hospitals. Participants were included consecutively in the follow-up clinic from November 15, 2022 to January 15, 2023. Data were collected through an interviewer-administered structured questionnaire and a review of medical records. A binary logistic regression model with an adjusted odds ratio (aOR) and a 95% confidence interval (CI) was used to identify the factors associated with poor glycemic control. Statistical significance was set at p < 0.05.

A total of 231 children and adolescents with type 1 diabetes mellitus were included. The magnitude of poor glycemic control was 166 (71.9%) with 95% CI 66.0-77.7%). In multivariable analysis, the age of the child (aOR = 0.19, 95% CI: 0.05-0.83), education of the caregiver (aOR = 4.13;95% CI: 1.82-9.46), meal frequency less than three (aOR = 3.28; 95% CI: 1.25-8.62), and consumption of forbidden foods (aOR = 3.17; 95% CI: 1.21-8.29) were factors significantly associated with poor glycemic control.

Two-thirds of participants had poor glycemic control. There was a statistically significant association between the age of the child, education of the caregiver, meal frequency, and forbidden foods with poor glycemic control. To improve glycemic control, diabetes education on meal use and selection should be conducted during follow-up along with parent education.

Objectives: This study aimed to examine the association between abnormal readings of metabolic parameters detected during second-generation antipsychotic (SGA) treatment and the likelihood of receiving subsequent adverse drug event interventions. Methods: This was a nested case-control study conducted on patients 1-17 years of age with at least two prescriptions of SGAs between January 2010 and January 2019 using TriNetX EMR data. Following an incident density sampling procedure, patients who received the SGA metabolic adverse event intervention (mAEI) (case) were matched with three nonrecipients (controls). The abnormal readings of metabolic parameters within 30 days before the initiation of mAIEs were further identified. These metabolic parameters include body mass index (BMI) and laboratory parameters such as cholesterol, high-density lipoprotein, low-density lipoprotein, triglycerides, blood glucose, HbA1c, thyroid hormones, liver enzymes, and prolactin. The association of abnormal metabolic parameters with subsequent mAEIs was assessed using a conditional logistic regression model, after adjusting for demographic and other clinical risk factors. Results: One thousand eight hundred eighty-four children and adolescents met the inclusion criteria and were prescribed SGA mAEIs. The most common types of mAEIs prescribed were weight management pharmacotherapy (40.6%), switching from a high or medium metabolic risk profile SGA to a low-risk one (30.9%), nonpharmacological treatment (25.4%), and switching from SGA polytherapy to monotherapy (11.7%). The conditional logistic regression analysis on matched mAEI recipients and nonrecipients showed that patients with an abnormal BMI had 43% higher odds of receiving mAEI (odds ratio [95% confidence interval]: 1.43 [1.13-1.79]). However, the presence of an abnormal laboratory reading was not associated with the initiation of mAEIs. Conclusions: The prescribing of mAEIs were associated with the presence of obesity, but not with abnormal readings of other metabolic parameters, suggesting that additional data are needed to clarify the long-term implication of SGA metabolic adverse events other than weight gain and to inform the appropriate timing for interventions.

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.

Insulin resistance, glucose alterations, arterial hypertension (HTN), and the renin-angiotensin-aldosterone system (RAAS) are related in adult obesity. This crosstalk is still unexplored in childhood.

Characterize the relationships of fasting and postload glucose and insulin levels with new American Academy of Pediatrics classification of HTN and RAAS in pediatric obesity.

This was a retrospective observational study; 799 pediatric outpatients (11.4 ± 3.1 years) at a tertiary center who were overweight or obese and not yet on diet were included. The main outcome measures were mean and correlations among parameters of a complete clinical and metabolic screening (body mass index, blood pressure, and glucose and insulin levels during an oral glucose tolerance test, and renin and aldosterone levels and their ratio).

774 subjects had all the parameters, of whom 87.6% had HTN (5% elevated blood pressure, 29.2% stage I HTN, and 53.4% stage II HTN). Eighty subjects had 1 or more glucose alterations, and more frequently presented HTN. Blood pressure levels were higher in subjects with glucose alterations than in those with normal glucose levels. Fasting and stimulated glucose and insulin levels were directly related to the HTN stages, and insulin sensitivity was lower in HTN than in normal blood pressure. Aldosterone, renin, and aldosterone-renin ratio (ARR) were similar in sexes, whereas aldosterone was higher in prepubertal individuals. Subjects with impaired glucose tolerance (IGT) had higher renin and lower ARR. Renin was positively correlated with postload glucose, and ARR was negatively correlated with the Homeostatic Model Assessment for Insulin Resistance index.

A close relationship exists among insulin resistance, glucose alterations, HTN, and renin in childhood obesity. Specific categories of risk could provide indicators for strict clinical surveillance.

Around 6.5% of the population in the United Kingdom has been diagnosed with diabetes. It is associated with several long-term consequences and higher hospitalization rates.

To examine the profile of hospital admissions related to diabetes mellitus and the prescription rates of antidiabetic medications in England and Wales.

This is an ecological study that was conducted for the period between April 1999 and April 2020 using publicly available hospitalisation data in England and Wales. Hospital admission data for patients of all ages was extracted from Hospital Episode Statistics in England and the Patient Episode Database for Wales. The difference between admission rates in 1999 and 2020, as well as the difference between diabetes mellitus medication prescription rates in 2004 and 2020, were assessed using the Pearson Chi-squared test. A Poisson regression model with robust variance estimation was used to examine the trend in hospital admissions.

A total of 1,757,892 diabetes mellitus hospital admissions were recorded in England and Wales during the duration of the study. The hospital admission rate for diabetes mellitus increased by 15.2%. This increase was concomitant with an increase in the antidiabetic medication prescribing rate of 105.9% between 2004 and 2020. Males and those in the age group of 15-59 years had a higher rate of hospital admission. The most common causes of admissions were type 1 diabetes mellitus related complications, which accounted for 47.1% of all admissions.

This research gives an in-depth overview of the hospitalization profile in England and Wales during the previous two decades. In England and Wales, people with all types of diabetes and related problems have been hospitalized at a high rate over the past 20 years. Male gender and middle age were significant determinants in influencing admission rates. Diabetes mellitus type 1 complications were the leading cause of hospitalizations. We advocate establishing preventative and educational campaigns to promote the best standards of care for individuals with diabetes in order to lower the risk of diabetes-related complications.

To determine the impact of the t:slim X2 insulin pump with Control-IQ technology on the quality of life and glycemic control in youth with type 1 diabetes (T1D) and their parents in a real-world setting. Research Design and Methods. We conducted a single-center, prospective study on pediatric patients (6-18 years old) with T1D using a Tandem t:slim X2 pump and initiating Control-IQ technology as part of routine care. Youth (≥8 years) and parents completed validated patient-reported outcome measures (PROMs) at baseline and the end of the study (16 weeks). Glycemic control measures were recorded at baseline and every 4 weeks until the end of the study.

Fifty-nine youth participated; the median (IQR) age was 13.8 (11.1, 15.7) years, and T1D duration was 6.3 (3.1, 8.4) years. INSPIRE scores (evaluating expectations (baseline) and impact (post) of Control-IQ technology) were favorable, unchanged at the end of the study for youth, and lower for parents (p = 0.04). Other PROM scores improved by the end of the study with mean (95% CI) differences for youth and parents, respectively, as follows: Diabetes Impact and Device Satisfaction (DIDS) Scale Diabetes Impact -1.08 (-1.51, -0.64) (p < 0.001) and -1.41 (-1.96, -0.87) (p < 0.001); DIDS Scale Device Satisfaction +0.43 (0.11, 0.74) (p = 0.01) and +0.58 (0.31, 0.85) (p < 0.001); Hypoglycemia Fear Survey -4.41 (-7.65, -1.17) (p = 0.01) and -7.64 (-11.66, -3.62) (p < 0.001); and WHO-5 Well-Being Index +5.10 (-1.40, 11.6) (p = 0.12) and +9.60 (3.40, 15.8) (p = 0.003). The mean time in range increased from 52.6% at baseline to 62.6% (p < 0.001) at 4 weeks, sustained to 16 weeks.

Initiation of Control-IQ technology in a real-world setting significantly reduced the impact of diabetes on daily life while simultaneously improving glycemic control. Trial Registration. This trial is registered with ClinicalTrials.gov Identifier NCT04838561 (https://www.clinicaltrials.gov/ct2/show/NCT04838561?term=Control-IQ&cond=Type+1+Diabetes&cntry=CA&draw=2&rank=1).

Research shows that children and adolescents with type 1 diabetes (T1D), compared with their peers without diabetes, have a greater risk of psychiatric disorders. However, no study has comprehensively examined whether having psychiatric disorders is associated with educational outcomes in children and adolescents with T1D.

To investigate educational outcomes in children and adolescents with T1D with and without psychiatric disorders.

This cohort study used data from multiple Swedish registers. The main study cohort included individuals born in Sweden between January 1, 1973, and December 31, 1997, who were followed up from birth through December 31, 2013. Data analyses were conducted from March 1 to June 30, 2022.

Type 1 diabetes and psychiatric disorders (including neurodevelopmental disorders, depression, anxiety disorders, eating disorders, bipolar disorder, psychotic disorder, and substance misuse) diagnosed before 16 years of age.

Achieving educational milestones (completing compulsory school [primary and lower secondary education], being eligible to and finishing upper secondary school, and starting and finishing university) and compulsory school performances.

Of 2 454 862 individuals (51.3% male), 13 294 (0.5%; 53.9% male) were diagnosed with T1D (median [IQR] age at diagnosis, 9.5 [6.0-12.5] years), among whom 1012 (7.6%) also had at least 1 psychiatric disorder. Compared with healthy individuals (without T1D and psychiatric disorders), individuals with T1D alone had slightly lower odds of achieving the examined educational milestones. However, those with both T1D and any psychiatric disorder had much lower odds of achieving milestones, including completing compulsory school (odds ratio [OR], 0.17; 95% CI, 0.13-0.21), being eligible for (OR, 0.25; 95% CI, 0.21-0.30) and finishing (OR, 0.19; 95% CI, 0.14-0.26) upper secondary school, and starting (OR, 0.36; 95% CI, 0.29-0.46) and finishing (OR, 0.30; 95% CI, 0.20-0.47) university. They also showed lower grade point averages for compulsory school subjects. These findings remained similar in sibling comparison analyses, suggesting independence from familial confounding.

In this cohort study of Swedish-born children and adolescents, those with T1D alone had minor difficulties with their educational outcomes, whereas those with both T1D and psychiatric disorders had universal long-term educational underachievement. These findings highlight the importance of identifying psychiatric disorders in pediatric patients with T1D and the need for targeted educational intervention and support to minimize the education gap between the affected children and their peers.

The prevalence of type 2 diabetes (T2DM) among children and adolescents has remarkably increased in the last two decades, particularly among ethnic minorities. Management of T2DM is challenging in the adolescent population due to a constellation of factors, including biological, socioeconomic, cultural, and psychological barriers. Weight reduction is an essential component in management of T2DM as weight loss is associated with improvement in insulin sensitivity and glycemic status. A family centered and culturally appropriate approach offered by a multidisciplinary team is crucial to address the biological, psychosocial, cultural, and financial barriers to weight management in youth with T2DM. Lifestyle interventions and pharmacotherapy have shown modest efficacy in achieving weight reduction in adolescents with T2DM. Bariatric surgery is associated with excellent weight reduction and remission of T2DM in youth. Emerging therapies for weight reduction in youth include digital technologies, newer GLP-1 agonists and endoscopic procedures.