Socioeconomic position is associated with glycemic control in youth and young adults with type 1 diabetes

Ecological momentary assessment in adolescents with type 1 diabetes: A mixed-methods feasibility study

AIMS

Diabetes self-management is dynamic and subject to the influence of contextual variables. Ecological momentary assessment (EMA) facilitates the examination of temporal processes and the influence of contextual variables but is underutilised in paediatric type 1 diabetes research. This study examined the feasibility of using text-message-based EMA and how patient and contextual factors predict adherence to EMA procedures.

METHODS

Adolescents (12-18 years old) with type 1 diabetes (n = 66) watched an EMA training video, completed a 5-question EMA quiz, and then participated in a 3-month EMA study. Mixed-effects models and paired t-tests examined predictors (i.e. HbA1c, participant age, EMA quiz score, study time-point, time of day, day of week) of response rate and latency. Eighteen participants, purposively sampled based on response rates, were interviewed, and thematic analysis was used to summarize themes related to their EMA experience.

RESULTS

Average response rate was 70% and average response latency was 77.83 min. Response rates were higher on weekdays. Response latency was longer for morning and weekday prompts. In mixed-effects models, response rates decreased over time and were lower for youth with higher HbA1c. Better quiz scores predicted higher response rates and shorter response latency. Qualitative data revealed themes highlighting (1) methodological considerations for research using EMA and (2) how EMA positively affected participants.

CONCLUSIONS

Text-message-based EMA is a feasible method for capturing near-real-time patient experiences related to diabetes management. Combined with diabetes technology, EMA has significant potential for improving our understanding of the behavioural aspects of diabetes self-management.

The Impact of Virtual Care on Health-Related Quality of Life in Pediatric Diabetes Mellitus: A Systematic Review

Background

The COVID-19 pandemic has escalated the utilization of virtual care platforms in pediatric diabetes mellitus. The impact of these interventions on the health-related quality of life (HRQOL) is unclear.

Objective

This systematic review evaluated the impact of virtual care, including eHealth and mHealth modalities, when compared to in-person care, on HRQOL in children with diabetes.

Methods

MEDLINE, EMBASE, EMCare, PsycInfo, and Web of Science, ProQuest Dissertations and Theses A&I, and ClinicalTrials.gov databases and registries were searched from database inception to October 2nd, 2023. Randomized and non-randomized comparative studies were eligible for inclusion.

Results

Thirteen studies were identified (12 randomized controlled trials, 1 cross-sectional study) involving 1566 children with type 1 diabetes mellitus (T1DM). The supplemental virtual care interventions utilized either web- or mobile-based platforms for intervention implementation. No interventions were detrimental to HRQOL, and a few improved the short-term HRQOL. No interventions worsened glycemic control. Patients and family's satisfaction with virtual care was high, perceiving it to be equal to or better than in-person care. There was no evidence for the use of virtual care and its effect on HRQOL in pediatric type 2 diabetes mellitus patients.

Conclusion

Virtual care is associated with a stable or improved HRQOL and patient and family satisfaction in pediatric T1DM. Decision makers need to consider expanding virtual access to pediatric diabetes care that can improve equitable access to quality care across healthcare systems globally.

Investigating the Association Between Family Socioeconomic Profile and Diabetes Control in Children: A Cross-Sectional Study From Sudan

AIMS

Diabetes mellitus is the most common endocrine disease in childhood which significantly impacts quality of life, morbidity and mortality. This study aimed to investigate the socioeconomic background of children with diabetes and their families and to assess its association with diabetes control.

METHODS

This cross-sectional study was conducted in Khartoum State, Sudan, in 2018, at three outpatient diabetes clinics, using standardised questionnaires. We included 138 diabetic children (T1D and T2D) aged 2-18 years using systematic random sampling. Descriptive statistics, economic indicator and inferential statistics were applied using SPSS version 20. An HbA1C level of > 7.0% was set as the cut-point for uncontrolled diabetes. A p-value of < 0.05 was considered statistically significant.

RESULTS

The mean age of the children was 11.1 (3.64) years. Over half of the respondents were not covered by any insurance scheme and 73% lived in urban areas. Mothers had a mean age of 37.3 (7.8), with one-fourth being illiterate, while fathers had a mean age of 45.4 (9.3). Twenty per cent of parents had higher education. Two-thirds of the participants had their HbA1C levels checked within the last 3 months. The prevalence of uncontrolled diabetes was 78.0%. No statistically significant association was found between HbA1C levels and families' socioeconomic, demographic or clinical characteristics (p > 0.05).

CONCLUSION

Neither children' nor parents' characteristics influenced HbA1C level. The high rate of uncontrolled diabetes (78.0%), and other countries showing better profiles of control, suggests the need for exploring other contributing factors. Insulin availability and lack of home glucose monitoring need to be considered. We recommend future prospective studies to consider these factors and use multiple HbA1C measures' average as a better indicator of diabetic control.

Do hybrid closed loop insulin pump systems improve glycemic control and reduce hospitalizations in poorly controlled type 1 diabetes?

OBJECTIVES

Hybrid closed-loop (HCL) systems improve glycemic control in type 1 diabetes mellitus (T1D), but their effectiveness in young, poorly controlled populations is not established and requires study.

METHODS

A pre-post study was performed using electronic health records of patients 3-24 years with baseline HbA1c≥9 % prescribed HCL within the New York City Health+Hospitals System assessing HbA1c levels and hospitalizations before and after HCL initiation and factors associated with achieving HbA1c<9 % after HCL initiation.

RESULTS

Of 47 children and adolescents who met inclusion criteria, 4.68 % female, 95.72 % non-White, and 82.22 % covered by public insurance, with a baseline average HbA1c 10.6 % (2.28 IQR). The most prevalent pump type was Omnipod 5 (70.21 %). The HbA1c was significantly lower in the postperiod than baseline (HbA1c before=median 10.6 (IQR2.28), HbA1c after=median 9.33 (IQR 2.97), difference 1.00 (IQR 1.64), p<0.05) with a decrease in median diabetes-related hospitalizations (preperiod 1.00 (IQR 1.00), postperiod 0.00 (IQR 1.00), difference -1.00, IQR 2, p<0.05). Lower baseline HbA1c levels made reaching HbA1c<9 % more likely. Multivariable analysis showed that the odds of having HbA1c of <9 % was 2.1 times less likely for every one point increase in baseline HbA1c and 12.5 times less likely for those with a pump at (p<0.05).

CONCLUSIONS

HCL therapy improved glycemic control and decreased diabetes-related hospitalizations in youth with poorly controlled T1DM. Higher baseline HbA1c levels predicted less success with HCL therapy so those who stand to benefit most benefit least.

Influence of socioeconomic factors on glycemic control, therapeutic adherence and quality of life in children and adolescents with type 1 diabetes

OBJECTIVE

To stablish the relationship between socioeconomic status of a cohort of children and adolescents with type 1 diabetes (T1D) with glycemic control, therapeutic adherence and diabetes quality of life (DQoL).

PATIENTS Y METHODS

A cross-sectional, observational study with consecutive inclusion was carried out. Participants aged 8-18 years with T1D duration >1 year. Data on family structure, family income, parents' educational level and parental role on primary diabetes care supervision were registered. Adherence (DMQ-Sp) and DQoL (PedsQl) were analyzed. Linear and logistic regression models adjusted for demographics, family structure and parental role on primary diabetes care responsibility were applied.

RESULTS

A total of 323 patients (T1D duration 5,3 ± 3,3 years; HbA1c 7,7 ± 1,0%; age 13,3 ± 2,8 years; 49,8% females) were included. Patients living in a nuclear family and those whose main diabetes care supervision was shared by both parents showed lower HbA1c [adjusted for demographics and family structure (7,06; CI 95% 6,52-7,59); adjusted for demographics and role on primary diabetes care supervision (7,43; CI 95% 6,57-8,28)]. DMQ-Sp score (adjusted for demographics and role on main supervision) was higher in patients whose parents shared the diabetes care supervision (84,56; CI 95% 73,93-95,19). Parents sharing diabetes care supervision showed a significantly higher PedsQl score (both 74,63 ± 12,70 vs mother 68,53 ± 14,59; p = 0,001).

CONCLUSIONS

Children and adolescents with T1D had lower HbA1c, better therapeutic adherence and better DQoL when lived in a nuclear family, with higher socioeconomic status and the responsibility for supervising diabetes care was shared by both parents.

Innovations: Using telemedicine to improve care of predominantly non-white youth with suboptimal insulin dependent diabetes control

AIM

Despite advances in diabetes treatments, youth commonly fail to meet glucose targets. Telehealth support may help youth meet diabetes related goals. The objective of the project was to assess whether intensive telehealth support in a group of poorly controlled youth with diabetes would help improve glycated hemoglobin (HbA1c) levels and decrease hospitalization rates over a 12-month time frame.

METHODS

This quality improvement project included youth aged 8-18 with suboptimal insulin dependent diabetes control and Medicaid insurance, who were willing to use continuous glucose monitoring (CGM). Participants received weekly contact (phone or video) with a certified diabetes educator and monthly video visits with a nurse practitioner.

RESULTS

Youth (N = 27, 63 % female, 89 % Non-Hispanic Black), diabetes duration 6.2 ± 4.3 years, had baseline mean HbA1c 12.4 ± 1.8 % (112 mmol/mol); 22 % were on pump therapy (majority were non-automated insulin delivery systems). There was a sustained improvement between baseline HbA1c (mean 12.4 %±1.8) (112 mmol/mol) and 3 months (mean 11.5 %±2.8) (102 mmol/mol) (p = 0.03), 6 months (mean 11.1 %±2.1) (98 mmol/mol) (p = 0.01), 9 months (mean 11.4 %±2.3) (101 mmol/mol) (p = 0.04) and 12 months (mean 10.8 %±2.2) (95 mmol/mol) (p = 0.02).

CONCLUSION

This intensive telehealth intervention provided interim glycemic improvement in a high-risk patient cohort. Further efforts to increase connection in vulnerable pediatric patient groups could help long-term diabetes management.

Association Between Psychosocial Acuity and Glycemic Control in a Pediatric Type 1 Diabetes Clinic

PURPOSE

The purpose of this study was to describe the frequency of psychosocial risk and its associations with glycemic levels in youth with type 1 diabetes (T1D) seen by social work staff during regular clinical care.

METHODS

A retrospective longitudinal analysis of observational clinical data was conducted. Individuals (1-26 years) with known T1D who were seen at a pediatric diabetes clinic in a US academic medical center between 2014 and 2021 were included. Variables included psychosocial acuity, A1C, and demographic characteristics. Chi-square tests, Wilcoxon rank sum tests, and mixed linear regressions were used to examine associations between demographic variables, psychosocial acuity, and A1C.

RESULTS

Of 966 patients, 513 (53.1%) were male, 76 (7.9%) were non-Hispanic Black, and 804 (83.2%) were non-Hispanic White. There was a mean of 6.9 annual social work encounters per patient, with 3 psychosocial domains measured at each visit. Results showed that as psychosocial acuity level increased, glycemic control decreased. There were significant differences in A1C according to race/ethnicity, insurance, age, and psychosocial acuity.

CONCLUSIONS

In a real-world clinical population, psychosocial acuity was associated with glycemic control. Presenting for psychosocial issues in their diabetes clinic was associated with reduced glycemic control among youth with T1D. There is an opportunity to connect pediatric patients with appropriate mental health services and psychosocial supports.

Social Determinants of Health Screening in Type 1 Diabetes Management

Type 1 diabetes management is intricately influenced by social determinants of health. Economic status impacts access to vital resources like insulin and diabetes technology. Racism, social injustice, and implicit biases affect equitable delivery of care. Education levels affect understanding of self-care, leading to disparities in glycemic outcomes. Geographic location can limit access to health care facilities. Stressors from discrimination or financial strain can disrupt disease management. Addressing these social factors is crucial for equitable diabetes care, emphasizing the need for comprehensive strategies that go beyond medical interventions to ensure optimal health outcomes for all individuals with type 1 diabetes.

Postprandial glucose metabolism in children and adolescents with type 1 diabetes mellitus: potential targets for improvement

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.

Beneficial effects of automated insulin delivery over one-year follow-up in real life for youths and adults with type 1 diabetes irrespective of patient characteristics

AIM

To investigate glycaemic outcomes in youths and adults with type 1 diabetes with either MiniMed™ 780G or Tandem t:slim X2™ control-IQ automated insulin delivery (AID) systems and to evaluate clinical factors that migrate, mitigate the achievement of therapeutic goals.

MATERIALS AND METHODS

This retrospective, real-world, observational study was conducted in a specialized university type 1 diabetes centre with patients observed for 3-12 months post-initiation of an AID system. Primary outcomes were the percentage time in the target glucose range [TIR70-180 mg/dl (3.9-10 mmol/L)] as measured by continuous glucose monitoring, mean glucose management indicator (GMI) and glycated haemoglobin (HbA1c) levels.

RESULTS

Our study cohort consisted of 48 adolescents and 183 adults (55% females) aged 10-77 years. The mean (95% confidence interval) TIR70-180 mg/dl after 30 days was higher than baseline and by 14% points after 360 days with 71.33% (69.4-73.2) (n = 123, p < .001). HbA1c levels decreased by 0.7% and GMI by 0.6% after 360 days. The proportion of time spent <70 mg/dl (3.9 mmol/L) was not significantly different from baseline. During follow-up, 780G users had better continuous glucose monitoring results than control-IQ users but similar HbA1c levels, and an increased risk of weight gain. Age at onset influenced TIR70-180 mg/dl in univariate analysis but there was no significant relationship after adjusting on explanatory variables. Baseline body mass index did not influence the performance of AID systems.

CONCLUSIONS

This analysis showed the beneficial effects of two AID systems for people with type 1 diabetes across a broad spectrum of participant characteristics. Only half of the participants achieved international recommendations for glucose control with TIR70-180 mg/dl >70%, HbA1c levels or GMI <7%, which outlines the need to maintain strong educational and individual strategies.

Unfavorable social determinants of health and risk of mortality in adults with diabetes: findings from the National Health Interview Survey

INTRODUCTION

Understanding the role of social determinants of health as predictors of mortality in adults with diabetes may help improve health outcomes in this high-risk population. Using population-based, nationally representative data, this study investigated the cumulative effect of unfavorable social determinants on all-cause mortality in adults with diabetes.

RESEARCH DESIGN AND METHODS

We used data from the 2013-2018 National Health Interview Survey, linked to the National Death Index through 2019, for mortality ascertainment. A total of 47 individual social determinants of health were used to categorize participants in quartiles denoting increasing levels of social disadvantage. Poisson regression was used to report age-adjusted mortality rates across increasing social burden. Multivariable Cox proportional hazards models were used to assess the association between cumulative social disadvantage and all-cause mortality in adults with diabetes, adjusting for traditional risk factors.

RESULTS

The final sample comprised 182 445 adults, of whom 20 079 had diabetes. In the diabetes population, mortality rate increased from 1052.7 per 100 000 person-years in the first quartile (Q1) to 2073.1 in the fourth quartile (Q4). In multivariable models, individuals in Q4 experienced up to twofold higher mortality risk relative to those in Q1. This effect was observed similarly across gender and racial/ethnic subgroups, although with a relatively stronger association for non-Hispanic white participants compared with non-Hispanic black and Hispanic subpopulations.

CONCLUSIONS

Cumulative social disadvantage in individuals with diabetes is associated with over twofold higher risk of mortality, independent of established risk factors. Our findings call for action to screen for unfavorable social determinants and design novel interventions to mitigate the risk of mortality in this high-risk population.

Lack of consideration of socioeconomic factors in transition programme of adolescents with type 1 diabetes: A systematic review

The transition of adolescents with type 1 diabetes should be organized such that loss of follow-up and deterioration of patients' metabolic control are minimized.

OBJECTIVE

Our study aimed to ascertain whether socioeconomic status is featured in the characteristics of adolescents with type 1 diabetes in transition programmes and their inclusion in transition programmes.

RESEARCH DESIGN AND METHODS

A systematic review of the literature was performed according to PRISMA recommendations. All articles published between 2010 and 2023 were considered. Studies that described a transition programme for adolescents or young adults with T1DM were included.

RESULTS

After screening, 18 studies were included. Different transition programmes were proposed (exchanges between professionals, coordinators, and transition clinics). Nine articles described socio-economic factors. The educational level was the most frequently reported. Only three studies evaluated the impact of one parameter on transition success: a lower education level was associated with more hospital visits for hyperglycaemia, and the other did not report any socioeconomic factor associated with clinic attendance.

CONCLUSIONS

The socioeconomic status of type 1 diabetes is poorly described in transition programmes, and the few that do make mention of it, offer little information about patient management.

Sociodemographic factors affecting glycaemic control in Finnish paediatric patients with type 1 diabetes

AIMS

Socioeconomic problems may present significant challenges when trying to reach optimal glycaemic control in paediatric patients with type 1 diabetes. We examined sociodemographic factors affecting metabolic control in patients in one of the biggest paediatric diabetes clinics in Finland.

METHODS

One hundred ninety-one children (age 2-15 years; median 11 years; 47% female) with type 1 diabetes and their families were recruited during outpatient visits in the paediatric diabetes clinic of Tampere University Hospital, Finland. The participants completed a questionnaire on the family's sociodemographic background. The child's glycaemic control was assessed by both glycosylated haemoglobin (HbA1c) and time in range (TIR). Risk factors for poor (HbA1c ≥75 mmol/mol; TIR <40%) and optimal (HbA1c <53 mmol/mol; TIR ≥70%) metabolic control were searched using logistic regression analyses.

RESULTS

Living in a nuclear family, male gender, younger age and a school assistant for diabetes management were associated with the simultaneous presence of both indicators of optimal metabolic control. Poor glycaemic control, as estimated by HbA1c, was associated with lower parental education and the child's older age. Parental smoking and the child's older age were associated with poor TIR.

CONCLUSION

This study confirms the importance of sociodemographic factors in care of Finnish paediatric patients with type 1 diabetes. Sociodemographic status markers of the family could be used as triggers to alert paediatric diabetes teams to offer more tailored care to families with new-onset type 1 diabetes mellitus.

[The value of assessing the socioeconomic context during the transition of adolescents with type 1 diabetes]

The follow-up of diabetic patients is marked by a period of transition from pediatric care to adult services. The major challenge of this transition is to ensure continuity of care under the best possible conditions. Socio-economic factors must be taken into account to ensure that care is adapted to patients' needs.

Comparisons of school-day glycemia in different settings for children with type 1 diabetes using continuous glucose monitoring

Objective

Using continuous glucose monitoring (CGM), we examined patterns in glycemia during school hours for children with type 1 diabetes, exploring differences between school and non-school time.

Methods

We conducted a retrospective analysis of CGM metrics in children 7-12 years (n=217, diabetes duration 3.5±2.5 years, hemoglobin A1c 7.5±0.8%). Metrics were obtained for weekday school hours (8 AM to 3 PM) during four weeks in fall 2019. Two comparison settings included weekend (fall 2019) and weekday (spring 2020) data when children had transitioned to virtual school due to COVID-19. We used multilevel mixed models to examine factors associated with time in range (TIR) and compare glycemia between in-school, weekends, and virtual school.

Results

Though CGM metrics were clinically similar across settings, TIR was statistically higher, and time above range (TAR), mean glucose, and standard deviation (SD) lower, for weekends and virtual school (p<0.001). Hour and setting exhibited a significant interaction for several metrics (p<0.001). TIR in-school improved from a mean of 40.9% at the start of the school day to 58.0% later in school, with a corresponding decrease in TAR. TIR decreased on weekends (60.8 to 50.7%) and virtual school (62.2 to 47.8%) during the same interval. Mean glucose exhibited a similar pattern, though there was little change in SD. Younger age (p=0.006), lower hemoglobin A1c (p<0.001), and insulin pump use (p=0.02) were associated with higher TIR in-school.

Conclusion

Although TIR was higher for weekends and virtual school, glycemic metrics improve while in-school, possibly related to beneficial school day routines.

The Association of Personality Traits and Parameters of Glycemic Regulation in Type 1 Diabetes Mellitus Patients Using isCGM

This study aimed to examine the impact of personality on glycemic regulation in adult patients with type 1 diabetes mellitus (T1DM). The study group consisted of subjects with T1DM, who were ≥ 18 years of age. The study was conducted in two phases: At baseline, subjects completed the Croatian version of the International Personality Item Pool scale (IPIP50s) and a questionnaire designed to gather socioeconomic data, duration of diabetes, presence of chronic complications, presence of cardiovascular risk factors, frequency, and type of pre-existing hypoglycemic episodes per week. Blood and urine samples were collected and body mass index (BMI) was calculated. Each participant was provided with the intermittently scanned glucose monitoring system (isCGM) Freestyle Libre. During the second visit (3 months from the start of the trial), glycemic parameters were collected from the reports generated from the Freestyle Libre system. Estimated glycated hemoglobin (HbA1c) values were significantly lower after three months compared to baseline HbA1c (Wilcoxon test, p < 0.001). An inverse correlation between the number of daily scans and degree of extraversion among subjects was observed, e.g., higher degrees of extraversion resulted in lower numbers of daily scans, while lower degrees of extraversion, i.e., introvertedness, resulted in higher numbers of daily scans (Rho = −0.238 p = 0.009). There was a positive correlation between emotional stability and time spent in hypoglycemia (Rho = 0.214; p = 0.02). In addition, a shorter duration of diabetes was associated with higher percentages of TIR and vice versa (p = 0.02). Investigating personality traits can be a useful tool for identifying patients predisposed to hypoglycemia and lower scanning frequency. Patients with a longer history of T1DM require closer follow-up and should be re-educated when necessary.

A Brief Nutrition Questionnaire for Children With Newly Diagnosed Type 1 Diabetes

Carbohydrate counting is an important component of type 1 diabetes management that is taught at the time of diagnosis. We implemented and validated a nutrition quiz to assess fundamental carbohydrate counting and nutrition knowledge in newly diagnosed patients. An interactive standard assessment for newly diagnosed type 1 diabetes patients was feasible and reliable to implement for patients and caregivers, but participants with public insurance scored lower overall. This assessment may help to identify nutrition knowledge gaps and provide opportunities for timely education, and providers should place additional focus on nutrition education for patients with public insurance.

Inequalities in Glycemic Control in Youth with Type 1 Diabetes Over Time: Intersectionality Between Socioeconomic Position and Race and Ethnicity

BACKGROUND

Racial/ethnic health inequities have been well-documented among youth and young adults with type 1 diabetes (T1D), yet little is known about how socioeconomic position (SEP) intersects with the risk marker of race/ethnicity to predict inequities in longitudinal glycemic control.

PURPOSE

To identify patterns of SEP, race/ethnicity, and clinical characteristics that differentiate hemoglobin A1c (HbA1c) trajectories among youth and young adults after T1D diagnosis.

METHODS

The SEARCH for Diabetes in Youth cohort includes youth with diabetes diagnosed from 2002 to 2006 and 2008 who were followed through 2015. We analyzed data from 1,313 youth and young adults with T1D with ≥3 HbA1c measures. Classification tree analysis identified patterns of baseline demographic, SEP, and clinical characteristic that best predicted HbA1c trajectories over an average of 8.3 years using group-based trajectory modeling.

RESULTS

Two HbA1c trajectories were identified: Trajectory 1 (77%) with lower baseline HbA1c and mild increases (from mean 7.4% to 8.4%) and Trajectory 2 (23%) with higher baseline HbA1c and major increases (from 8.5% to 11.2%). Race/ethnicity intersected with different SEP characteristics among non-Hispanic white (NHW) than in non-whites. Public health insurance predicted high-risk Trajectory 2 membership in non-whites, whereas parental education, household structure, diagnosis age and glucose checking frequency predicted membership for NHW youth and young adults. Two characteristics, race/ethnicity and parental education alone identified 80% of the Trajectory 2 members.

CONCLUSIONS

Race/ethnicity intersects with multiple SEP and clinical characteristics among youth and young adults with T1D, which is associated with particularly high risk of poor long-term glycemic control.

Identifying and Reducing Disparities in Young Adults With Diabetes

This article outlines how social and health care determinants can affect young adults with diabetes. The authors provide a detailed description of each determinant's influence on diabetes self-management and offer solutions to help mitigate these harmful effects.