Prevalence of Type 1 Diabetes Among US Children and Adults by Age, Sex, Race, and Ethnicity.

This study uses data from the 2019 to 2022 cycles of the National Health Interview Survey to estimate the prevalence of type 1 diabetes among US youths and adults.

Polygenic Scores Help Reduce Racial Disparities in Predictive Accuracy of Automated Type 1 Diabetes Classification Algorithms.

OBJECTIVE: Automated algorithms to identify individuals with type 1 diabetes using electronic health records are increasingly used in biomedical research. It is not known whether the accuracy of these algorithms differs by self-reported race. We investigated whether polygenic scores improve identification of individuals with type 1 diabetes. RESEARCH DESIGN AND METHODS: We investigated two large hospital-based biobanks (Mass General Brigham [MGB] and BioMe) and identified individuals with type 1 diabetes using an established automated algorithm. We performed medical record reviews to validate the diagnosis of type 1 diabetes. We implemented two published polygenic scores for type 1 diabetes (developed in individuals of European or African ancestry). We assessed the classification algorithm before and after incorporating polygenic scores. RESULTS: The automated algorithm was more likely to incorrectly assign a diagnosis of type 1 diabetes in self-reported non-White individuals than in self-reported White individuals (odds ratio 3.45; 95% CI 1.54-7.69; P = 0.0026). After incorporating polygenic scores into the MGB Biobank, the positive predictive value of the type 1 diabetes algorithm increased from 70 to 97% for self-reported White individuals (meaning that 97% of those predicted to have type 1 diabetes indeed had type 1 diabetes) and from 53 to 100% for self-reported non-White individuals. Similar results were found in BioMe. CONCLUSIONS: Automated phenotyping algorithms may exacerbate health disparities because of an increased risk of misclassification of individuals from underrepresented populations. Polygenic scores may be used to improve the performance of phenotyping algorithms and potentially reduce this disparity.

The Childhood Vaccination Schedule and the Lack of Association With Type 1 Diabetes.

OBJECTIVES: Safety studies assessing the association between the entire recommended childhood immunization schedule and autoimmune diseases, such as type 1 diabetes mellitus (T1DM), are lacking. To examine the association between the recommended immunization schedule and T1DM, we conducted a retrospective cohort study of children born between 2004 and 2014 in 8 US health care organizations that participate in the Vaccine Safety Datalink. METHODS: Three measures of the immunization schedule were assessed: average days undervaccinated (ADU), cumulative antigen exposure, and cumulative aluminum exposure. T1DM incidence was identified by International Classification of Disease codes. Cox proportional hazards models were used to analyze associations between the 3 exposure measures and T1DM incidence. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were calculated. Models were adjusted for sex, race and ethnicity, birth year, mother's age, birth weight, gestational age, number of well-child visits, and study site. RESULTS: In a cohort of 584 171 children, the mean ADU was 38 days, the mean cumulative antigen exposure was 263 antigens (SD = 54), and the mean cumulative aluminum exposure was 4.11 mg (SD = 0.73). There were 1132 incident cases of T1DM. ADU (aHR = 1.01; 95% CI, 0.99-1.02) and cumulative antigen exposure (aHR = 0.98; 95% CI, 0.97-1.00) were not associated with T1DM. Cumulative aluminum exposure >3.00 mg was inversely associated with T1DM (aHR = 0.77; 95% CI, 0.60-0.99). CONCLUSIONS: The recommended schedule is not positively associated with the incidence of T1DM in children. These results support the safety of the recommended childhood immunization schedule.

Influence of social determinants of health barriers to family management of type 1 diabetes in Black single parent families: A mixed methods study.

OBJECTIVE: US disparities in pediatric type 1 diabetes treatment and outcomes are increasing disproportionately among Black youth and compounded for youth from single parent homes. Despite worsened outcomes, Black youth from single parent homes and their caregivers are underrepresented in pediatric type 1 diabetes research. The purpose of this study was to understand the social determinants of health (SDOH) barriers that may contribute to health disparities and family management in Black youth with type 1 diabetes from single parent homes. RESEARCH DESIGN AND METHODS: A three-phase mixed methods study with self-identified Black single parents of youth with type 1 diabetes from an urban US pediatric diabetes center was conducted. Focus groups and interviews informed development of a parent-generated survey of SDOH barriers to diabetes management. Survey results are presented. RESULTS: A resulting 71 item parent-generated survey was administered to 105 parents. Among all items, most problematic SDOH barriers included lack of social support, managing parent/child diabetes-related stress, difficulties accessing diabetes supplies, pain management, cost of food and diabetes camp, need to take time off from work, lack of skilled school staff, school absences and unsafe neighborhoods. Structural racism related to child welfare reporting, and police targeting were also notable concerns. CONCLUSIONS: There is a critical need for clinical, community, and policy-related research and interventions, designed to reduce type 1 diabetes racial health disparities by addressing the impacts of SDOH as drivers of family management outcomes among Black youth from single parent families.

Trends in Prevalence of Type 1 and Type 2 Diabetes in Children and Adolescents in the US, 2001-2017.

Importance: Changes in the prevalence of youth-onset diabetes have previously been observed. Objective: To estimate changes in prevalence of type 1 and type 2 diabetes in youths in the US from 2001 to 2017. Design, Setting, and Participants: In this cross-sectional observational study, individuals younger than 20 years with physician-diagnosed diabetes were enumerated from 6 areas in the US (4 geographic areas, 1 health plan, and select American Indian reservations) for 2001, 2009, and 2017. Exposures: Calendar year. Main Outcomes and Measures: Estimated prevalence of physician-diagnosed type 1 and type 2 diabetes overall and by race and ethnicity, age, and sex. Results: Among youths 19 years or younger, 4958 of 3.35 million had type 1 diabetes in 2001, 6672 of 3.46 million had type 1 diabetes in 2009, and 7759 of 3.61 million had type 1 diabetes in 2017; among those aged 10 to 19 years, 588 of 1.73 million had type 2 diabetes in 2001, 814 of 1.85 million had type 2 diabetes in 2009, and 1230 of 1.85 million had type 2 diabetes in 2017. The estimated type 1 diabetes prevalence per 1000 youths for those 19 years or younger increased significantly from 1.48 (95% CI, 1.44-1.52) in 2001 to 1.93 (95% CI, 1.88-1.98) in 2009 to 2.15 (95% CI, 2.10-2.20) in 2017, an absolute increase of 0.67 per 1000 youths (95%, CI, 0.64-0.70) and a 45.1% (95% CI, 40.0%-50.4%) relative increase over 16 years. The greatest absolute increases were observed among non-Hispanic White (0.93 per 1000 youths [95% CI, 0.88-0.98]) and non-Hispanic Black (0.89 per 1000 youths [95% CI, 0.88-0.98]) youths. The estimated type 2 diabetes prevalence per 1000 youths aged 10 to 19 years increased significantly from 0.34 (95% CI, 0.31-0.37) in 2001 to 0.46 (95% CI, 0.43-0.49) in 2009 to 0.67 (95% CI, 0.63-0.70) in 2017, an absolute increase of 0.32 per 1000 youths (95% CI, 0.30-0.35) and a 95.3% (95% CI, 77.0%-115.4%) relative increase over 16 years. The greatest absolute increases were observed among non-Hispanic Black (0.85 per 1000 youths [95% CI, 0.74-0.97]) and Hispanic (0.57 per 1000 youths [95% CI, 0.51-0.64]) youths. Conclusions and Relevance: In 6 areas of the US from 2001 to 2017, the estimated prevalence of diabetes among children and adolescents increased for both type 1 and type 2 diabetes.

Widening health inequalities related to type 1 diabetes care in children and young people in the UK: A time to act now.

In this recent 2019-2020 audit, 96% (168/173) of paediatric diabetes teams submitted data and included a total of 29,242 children and young people (CYP) up to the age of 24 years, and type 1 diabetes consisted of 27,653 CYP. One of the key findings was that CYP with type 1 diabetes from minority ethnic communities have higher HbA1 compared to white ethnicity and that significantly lower use of insulin pumps or real-time continuous glucose monitoring systems was used among black children. There has been an increasing trend of widening health inequalities reported the past 6 years. As chairs of Diabetes UK Diabetes Research Study Groups, the authors urge that research into barriers of access to technology for T1D in CYP in the UK specifically looking at provider bias, systemic issues within the health system, and individual and family factors are conducted with urgency.

Bone health in diabetes: Indian perspective.

PURPOSE OF REVIEW: Despite estimated 77 million people having diabetes, bone health in Asian Indians with diabetes is largely unknown. This review summarizes the published literature on fracture risk and factors affecting it in Asian Indians with diabetes. RECENT FINDINGS: Data on fracture prevalence in diabetes is limited; one study showed that diabetes was associated with a significantly higher number of fractures compared with subjects without diabetes (4% vs. 2.4%, P < 0.05). The prevalence of osteoporosis in Asian Indians with type 2 diabetes mellitus (T2D) varies from 35.5 to 49.5%. Studies have shown an increased, similar or lower areal bone mineral density (BMD) at the lumbar spine and/or hip in patients with T2D compared to controls without diabetes. On the contrary, the BMD in patients with type 1 diabetes mellitus (T1D) is modestly low compared to age- and sex-matched healthy controls without diabetes. Recent studies have shown compromised mechanical, material and compositional properties of trabecular bone in Asian Indians with T2D suggesting deteriorated bone quality as one of the contributors of high fracture risk. SUMMARY: Further research is needed to generate evidence-based guidelines to prevent and manage bone fragility in Asian Indians with diabetes.

Evidence of a plateau in the incidence of type 1 diabetes in children 0-4 years of age from a regional pediatric diabetes center; Auckland, New Zealand: 1977-2019.

OBJECTIVE: To determine the incidence of new onset type 1 diabetes in children aged 0-14 years from 1977 to 2019 in Auckland, New Zealand. RESEARCH DESIGN AND METHODS: A cohort study of children with type 1 diabetes aged 0-14 years (n = 1688; 50.4% male) managed by the regional diabetes service between 1977 and 2019. Incidence rates were estimated using census data. RESULTS: The incidence of type 1 diabetes increased by 2.9%/year from 1977 to 2006 (95% confidence interval [CI] 2.13% - 3.48%). Although there was no significant change from 2006 to 2019 (-0.3%/year, 95% CI -1.62% - 1.08%), there was a dramatic fall from 1976 to 2018 in the proportion of New Zealand Europeans, from 69.9 to 33.9%. New Zealand Europeans had the highest incidence (23.3/100,000, 95% CI 20.6-26.1) compared to Maori (8.3/100,000, 95% CI 6.3-10.2), Pasifika (8.6/100,000, 95% CI 6.9-10.4) and other (6.4/100,000, 95% CI 4.7-8.0). All groups showed an overall increase in incidence over time, Maori 4.4%/year, Pasifika 3.7%, compared to New Zealand European 2.7%, and other 2.1%. Incidence increased consistently in 5-9 and 10-14 year olds (2.0% and 2.2%/year, respectively). By contrast, whereas 0-4 year olds showed an increase of 4.6%/year from 1977 to 2003 (p < 0.01), there was no change from 2003 to 2019 (p = 0.2). CONCLUSION: There has been a plateau in the incidence of type 1 diabetes in children 0-4 years of age in the Auckland region since 2003, but not older children. The apparent plateau in the overall incidence of new onset type 1 diabetes in children 0-14 years since 2006 was mediated by substantial changes in the ethnic makeup of the Auckland region.

Akkermansia, a Possible Microbial Marker for Poor Glycemic Control in Qataris Children Consuming Arabic Diet-A Pilot Study on Pediatric T1DM in Qatar.

In Qatar, Type 1 Diabetes mellitus (T1DM) is one of the most prevalent disorders. This study aimed to explore the gut microbiome's relation to the continuous subcutaneous insulin infusion (CSII) therapy, dietary habits, and the HbA1c level in the pediatric T1DM subjects in Qatar. We recruited 28 T1DM subjects with an average age of 10.5 ± 3.53 years. The stool sample was used to measure microbial composition by 16s rDNA sequencing method. The results have revealed that the subjects who had undergone CSII therapy had increased microbial diversity and genus Akkermansia was significantly enriched in the subjects without CSII therapy. Moreover, genus Akkermansia was higher in the subjects with poor glycemic control (HbA1c > 7.5%). When we classified the subjects based on dietary patterns and nationality, Akkermansia was significantly enriched in Qataris subjects without the CSII therapy consuming Arabic diet than expatriates living in Qatar and eating a Western/mixed diet. Thus, this pilot study showed that abundance of Akkermansia is dependent on the Arabic diet only in poorly controlled Qataris T1DM patients, opening new routes to personalized treatment for T1DM in Qataris pediatric subjects. Further comprehensive studies on the relation between the Arabic diet, ethnicity, and Akkermansia are warranted to confirm this preliminary finding.

Racial disparities in treatment and outcomes of children with type 1 diabetes.

OBJECTIVE: The aim of this study was to assess racial disparities in treatments and outcomes between Non-Hispanic black (NHB), Hispanic and Non-Hispanic white (NHW) children with type 1 diabetes (T1D). METHODS: We reviewed electronic health records of children (<18 years) attending a large, pediatric tertiary care diabetes center in the United States between October 1, 2018, and December 31, 2019. Health care utilization (appointment attendance, ED visits, hospitalizations), technology use (insulin pumps, continuous glucose monitors [CGM]) and hemoglobin A1c (HbA1c) were examined for each race/ethnicity and stratified by insurance type (private/government) as a proxy for socioeconomic status (SES). RESULTS: Of 1331 children (47% female) with a median (IQR) age of 14.2 (11.5, 16.3) years and T1D duration of 5.8 (3.8, 9) years; 1026 (77%) were NHW, 198 (15%) NHB, and 107 (8%) Hispanic. Government insurance was used by 358 (27%) children, representing 60% of NHB and 53% of Hispanic, but only 18% of NHW children. NHB children had higher HbA1c, more ED visits and hospitalizations, and were less likely to be treated with insulin pumps or CGM than NHW children (P < .001 for all). There were no racial disparities with regard to the number of appointments attended. CONCLUSIONS: Racial disparities in technology use and diabetes outcomes persist in children with T1D, regardless of insurance status. To ensure equitable care, pediatric healthcare providers should remain cognizant of racial disparities in diabetes treatment. The impact of provider and patient factors should be explored when studying the etiology of these health disparities.

Cost and healthcare utilization analysis of culturally sensitive, shared medical appointment model for Latino children with type 1 diabetes.

OBJECTIVE: This study evaluated costs and healthcare utilization associated with a culturally-sensitive, medical and education program for pediatric Latino patients with type 1 diabetes. RESEARCH DESIGN AND METHODS: Program participants included Latino children ages 1-20 years old diagnosed with type 1 diabetes (n = 57). Control subjects with type 1 diabetes were matched by age, sex, and zip code to intervention participants from the Colorado All Payer Claims Database. Data included emergency department (ED) visits, hospitalizations, demographic information, and health insurance claims data 180 days prior to program start/index date through 1 year after program start/index date. We tracked program staff time and estimated costs for healthcare utilization using data from the scientific literature. Generalized Estimating Equation (GEE) models with logit link were used to estimate group differences in probabilities of ED visits and hospitalizations over 6-month periods pre/post-study, accounting for correlation of within-subject data across time points. Sensitivity analyses modeled longer-term cost differences under different assumptions. RESULTS: The intervention group had fewer hospitalizations, 2% versus 12% of controls (p = 0.047,OR = 0.13;95%CI: 0.02-0.97) for 6 months following start date. The intervention group had fewer ED visits, 19% versus 32% in controls (n.s.; p = 0.079,OR = 0.52;95%CI:0.25-1.08) and significantly fewer hospitalizations, 4% versus 15% of controls (p = 0.039,OR = 0.21;95%CI: 0.05-0.93) 6-12 months post-start date. One-year per-patient program costs of $633 and healthcare cost savings of $2710 yielded total per-patient savings of $2077, or a 5-year cost savings of $14,106. CONCLUSION: This unique type 1 diabetes management program altered health service utilization of program participants, reducing major healthcare cost drivers, ED visits, and hospitalizations.

'It kinda sucks': Illness perception of a group of South African adolescents with type 1 diabetes mellitus.

BACKGROUND: Living with diabetes is challenging, especially for adolescents at risk of poor glycaemic control. Understanding the illness perceptions of this group is important to be able to develop interventions for this growing population in need. AIM: This study explored the illness perception amongst adolescents living with type 1 diabetes (T1D) and how these perceptions interacted with the management of T1D. SETTING: This study was conducted at a medical centre providing care for adolescents living with T1D in Parktown, South Africa. METHODS: A qualitative, explorative design with semi-structured interviews was followed. A non-random purposive sampling method was utilised. The illness perception amongst eight adolescents, aged 12-18 years, at risk of poor glycaemic control, was analysed through thematic analysis. RESULTS: Two subthemes related to illness perception were generated, namely (1) illness perception of T1D is negative and (2) living with T1D leads to a sense of being different. Furthermore, two subthemes were generated in relation to how illness perceptions interacted with diabetes management, namely (3) management of T1D is challenging and (4) management of T1D is motivated by fear. CONCLUSION: This group of adolescents with at-risk glycaemic control believed that T1D is difficult to manage, leading to a largely negative perception of the disease. This study contributes to the body of literature on adolescents where illness perception may play a role in adhering to diabetes care plans. This research may give additional insights into the awareness of illness perception in designing successful interventions.

Racial Disparities in Diabetes Technology Use and Outcomes in Type 1 Diabetes in a Safety-Net Hospital.

BACKGROUND: Limited data exist regarding diabetes technology use among adults with type 1 diabetes (T1D) in urban racially/ethnically diverse safety-net hospitals. We examined racial/ethnic differences in the use of continuous glucose monitor (CGM) and continuous subcutaneous insulin infusion (CSII) in this setting. METHODS: A retrospective review of 227 patients ≥ 18 years of age with T1D seen in an urban, safety-net endocrinology clinic during 2016-2017 was completed (mean age: 39; 80% English-speaking; 50% had public insurance). Diabetes technology use, defined as either CGM or CSII or both CGM and CSII, and clinical outcomes were examined by race/ethnicity. RESULTS: Overall, 30% used CGM and 26% used CSII. After adjusting for age, language, insurance, and annual income, diabetes technology use in non-White patients was significantly lower than in White patients, predominantly lower in Black (aOR 0.25 [95% CI 0.11-0.56]) and patients identified as other race/ethnicity (aOR 0.30 [95% CI 0.11-0.77]). At the highest household income level (≥$75,000/y), Black and Hispanic individuals were significantly less likely than White individuals to use diabetes technology (P < .0007). Mean hemoglobin A1c (HbA1c) was lower in patients using any diabetes technology compared with patients using no technology (P < .0001). Use of CGM and CSII together was associated with the lowest HbA1c across all racial/ethnic groups. CONCLUSIONS: Racial/ethnic disparities in diabetes technology use and glycemic control were observed even after adjusting for sociodemographic factors. Further research should explore barriers to accessing diabetes technology in non-White populations.

Association between physical activity level and cardiovascular risk factors in adolescents living with type 1 diabetes mellitus: a cross-sectional study.

BACKGROUND: Type 1 diabetes mellitus (T1DM) is associated with an increased risk for cardiovascular disease (CVD) related morbidity and premature mortality. Regular physical activity plays an important role in the primary and secondary prevention of CVD, improving overall health and wellbeing. Previous observational studies have examined the associations between self-reported physical activity and CVD risk factors in largely adult Caucasian populations. However, limited work has evaluated the relationship between objectively measured physical activity and CVD risk factors in other ethnicities, particularly Chinese youth living with T1DM. METHODS: This cross-sectional study assessed CVD risk factors, physical activity, and aerobic fitness (and their associations) in Chinese youth living with T1DM (n = 48) and peers (n = 19) without T1DM. Primary outcomes included blood pressure, lipid profiles, and physical activity (accelerometry). Statistical differences between groups were determined with chi-square, independent-samples t-tests, or analysis of covariance. The associations between aerobic fitness, daily physical activity variables, and CVD risk factors were assessed with univariate and multivariate linear regression analyses. RESULTS: Results were summarized using means and standard deviation (SD) for normally distributed variables and medians and 25-75th quartile for non-normally distributed variables. In comparison to peers without diabetes, youth living with T1DM showed higher levels of total cholesterol (3.14 ± 0.67 vs. 4.03 ± 0.81 mmol·L-1, p = 0.001), low-density lipoprotein cholesterol (1.74 ± 0.38 vs. 2.31 ± 0.72 mmol·L-1, p = 0.005), and triglycerides (0.60 ± 0.40 vs. 0.89 ± 0.31 mmol·L-1 p = 0.012), and lower maximal oxygen power (44.43 ± 8.29 vs. 35.48 ± 8.72 mL·kg-1·min-1, p = 0.003), total physical activity counts (451.01 ± 133.52 vs. 346.87 ± 101.97 counts·min-1, p = 0.004), metabolic equivalents (METs) (2.41 ± 0.60 vs. 2.09 ± 0.41 METs, p = 0.033), moderate-to-vigorous intensity physical activity [MVPA: 89.57 (61.00-124.14) vs (53.19 (35.68-63.16) min, p = 0.001], and the percentage of time spent in MVPA [11.91 (7.74-16.22) vs 8.56 (6.18-10.12) %, p = 0.038]. The level of high-density lipoprotein cholesterol was positively associated with METs (ß = 0.29, p = 0.030, model R2 = 0.168), and the level of triglycerides was negatively associated with physical activity counts (ß = - 0.001, p = 0.018, model R2 = 0.205) and METs (ß = - 0.359, p = 0.015, model R2 = 0.208), and positively associated with time spent in sedentary behaviour (ß = 0.002, p = 0.041, model R2 = 0.156) in persons living with T1DM. CONCLUSIONS: Chinese youth with T1DM, despite their young age and short duration of diabetes, present early signs of CVD risk, as well as low physical activity levels and cardiorespiratory fitness compared to apparently healthy peers without diabetes. Regular physical activity is associated with a beneficial cardiovascular profile in T1DM, including improvements in lipid profile. Thus, physical activity participation should be widely promoted in youth living with T1DM.

"A Touch of Sugar": A Qualitative Study of the Impact of Health Beliefs on Type 1 and Type 2 Diabetes Self-Management Among Black Canadian Adults.

OBJECTIVES: Black Canadians have higher rates of diabetes and complications compared with White Canadians. However, research on diabetes self-management in this community is lacking. We conducted a qualitative study to explore diabetes self-management in the Black Canadian community using the lens of the Health Belief Model. METHODS: Forty-three individuals who identify as Black Canadians, living with or caring for a person with diabetes, were recruited. Data were collected through focus groups and interviews, and then analyzed using content analysis. RESULTS: We found that participants appreciated they are susceptible to diabetes based on family or peer experiences. Perceived severity is variable for which some believe that diabetes is only a "sugar problem," and the majority highlighted a perceived lack of knowledge about diabetes complications. Perceived benefits to treatment included prolonging life and cleansing one's body. Perceived barriers included lack of culturally appropriate dietary advice, lack of shared decision-making driven by a language barrier and cultural mismatch between patient and provider, socioeconomic status and difficulty navigating and accessing the Canadian health-care system. Peers, family members, churches and online platforms served as the main information sources and cues to action, influencing each of the 4 aforementioned categories. A number of solutions were proposed by the participants to address the barriers from patient, health-care delivery and health advocacy perspectives. CONCLUSIONS: Black Canadians face unique barriers to diabetes self-management, some of which are rooted within health belief systems. Avenues for intervention include peer education through narratives and a renewed focus on providing culturally appropriate care.

Inequities in Diabetic Ketoacidosis Among Patients With Type 1 Diabetes and COVID-19: Data From 52 US Clinical Centers.

OBJECTIVE: We examined whether diabetic ketoacidosis (DKA), a serious complication of type 1 diabetes (T1D) was more prevalent among Non-Hispanic (NH) Black and Hispanic patients with T1D and laboratory-confirmed coronavirus disease 2019 (COVID-19) compared with NH Whites. METHOD: This is a cross-sectional study of patients with T1D and laboratory-confirmed COVID-19 from 52 clinical sites in the United States, data were collected from April to August 2020. We examined the distribution of patient factors and DKA events across NH White, NH Black, and Hispanic race/ethnicity groups. Multivariable logistic regression analysis was performed to examine the odds of DKA among NH Black and Hispanic patients with T1D as compared with NH White patients, adjusting for potential confounders, such as age, sex, insurance, and last glycated hemoglobin A1c (HbA1c) level. RESULTS: We included 180 patients with T1D and laboratory-confirmed COVID-19 in the analysis. Forty-four percent (n = 79) were NH White, 31% (n = 55) NH Black, 26% (n = 46) Hispanic. NH Blacks and Hispanics had higher median HbA1c than Whites (%-points [IQR]: 11.7 [4.7], P < 0.001, and 9.7 [3.1] vs 8.3 [2.4], P = 0.01, respectively). We found that more NH Black and Hispanic presented with DKA compared to Whites (55% and 33% vs 13%, P < 0.001 and P = 0.008, respectively). After adjusting for potential confounders, NH Black patients continued to have greater odds of presenting with DKA compared with NH Whites (OR [95% CI]: 3.7 [1.4, 10.6]). CONCLUSION: We found that among T1D patients with COVID-19 infection, NH Black patients were more likely to present in DKA compared with NH White patients. Our findings demonstrate additional risk among NH Black patients with T1D and COVID-19.

Racial-Ethnic Disparities in Diabetes Technology use Among Young Adults with Type 1 Diabetes.

Background: Recent studies highlight racial-ethnic disparities in insulin pump and continuous glucose monitor (CGM) use in people with type 1 diabetes (T1D), but drivers of disparities remain poorly understood beyond socioeconomic status (SES). Methods: We recruited a diverse sample of young adults (YA) with T1D from six diabetes centers across the United States, enrolling equal numbers of non-Hispanic (NH) White, NH Black, and Hispanic YA. We used multivariate logistic regression to examine to what extent SES, demographics, health care factors (care setting, clinic attendance), and diabetes self-management (diabetes numeracy, self-monitoring of blood glucose, and Self-Care Inventory score) explained insulin pump and CGM use in each racial-ethnic group. Results: We recruited 300 YA with T1D, aged 18-28 years. Fifty-two percent were publicly insured, and the mean hemoglobin A1c was 9.5%. Large racial-ethnic disparities in insulin pump and CGM use existed: 72% and 71% for NH White, 40% and 37% for Hispanic, and 18% and 28% for NH Black, respectively. After multiple adjustment, insulin pump and CGM use remained disparate: 61% and 53% for NH White, 49% and 58% for Hispanic, and 20 and 31% for NH Black, respectively. Conclusions: Insulin pump and CGM use was the lowest in NH Black, intermediate in Hispanic, and highest in NH White YA with T1D. SES was not the sole driver of disparities nor did additional demographic, health care, or diabetes-specific factors fully explain disparities, especially between NH Black and White YA. Future work should examine how minority YA preferences, provider implicit bias, systemic racism, and mistrust of medical systems help to explain disparities in diabetes technology use.

Type 1 diabetes outcomes of children born in Israel of Eritrean asylum seekers.

AIMS: Disparities in health outcomes in pediatric type 1 diabetes (T1D) based on race/ethnicity and socioeconomic position (SEP) have been reported. We compared T1D characteristics between Eritrean status-less children living in Israel and native-born Israeli children. METHODS: This observational study compared 7 Eritrean and 28 Israeli children (< 8 years old at T1D diagnosis) who were diagnosed in a single diabetes center during 2015-2019. Sociodemographic and diabetes-related data from diagnosis until the last clinic visit were retrieved from their medical files. RESULTS: At diagnosis, the mean age was 4.8 ± 2.2 years, 17 (48.6%) had diabetic ketoacidosis with a mean HbA1c level of 10.5 ± 2.1% (91.3 mmol/mol) and 29 (82.9%) had ≥ 2 pancreatic autoantibodies. The mean T1D duration of follow-up was 2.7 ± 1.4 years. Overall glycemic control during follow-up (> 6 months from diagnosis, mean number of samples 10.6 ± 5.2) was good, with mean, best, and peak HbA1c levels of 7.4 ± 0.8% (57.4 mmol/mol), 6.7 ± 0.7% (49.7 mmol/mol), and 8.1 ± 1.1% (65 mmol/mol), respectively. Thirty-two children (91.4%) used continuous glucose monitoring devices (CGMs), and the mean time from diagnosis to CGM initiation was 10.8 ± 14.1 months. CGM metrics: time CGM active: 95.4 ± 3.8%, mean glucose level: 170.0 ± 27.0 mg/dl (9.4 mmol/L), time-in-range: 56.4 ± 14.7%, time-below-range: 5.5 ± 5.7%, and time-above-range: 38.6 ± 16.1%. Diabetes-related parameters at diagnosis and during follow-up were similar between groups. Eritrean children had significantly lower SEPs (P < 0.001) and parental education levels (P < 0.001). Correlations between SEP and diabetes parameters and SEP and growth parameters were not significant. CONCLUSIONS: Eritrean status-less children in Israel achieved glycemic targets similar to those of Israeli children, perhaps reflecting uniformity in the standard of care and CGM usage.