HbA1c variability is independently associated with progression of diabetic kidney disease in an urban multi-ethnic cohort of people with type 1 diabetes.

AIMS/HYPOTHESIS: The role of HbA1c variability in the progression of diabetic kidney disease is unclear, with most studies to date performed in White populations and limited data on its role in predicting advanced kidney outcomes. Our aim was to evaluate if long-term intra-individual HbA1c variability is a risk factor for kidney disease progression (defined as an eGFR decline of ≥50% from baseline with a final eGFR of <30 ml/min per 1.73 m2) in an ethnically heterogeneous cohort of people with type 1 diabetes with a preserved eGFR ≥45 ml/min per 1.73 m2 at baseline. METHODS: Electronic health record data from people attending outpatient clinics between 2004 and 2018 in two large university hospitals in London were collected. HbA1c variability was assessed using three distinct methods: (1) SD of HbA1c (SD-HbA1c); (2) visit-adjusted SD (adj-HbA1c): SD-HbA1c/√n/(n-1), where n is the number of HbA1c measurements per participant; and (3) CV (CV-HbA1c): SD-HbA1c/mean-HbA1c. All participants had six or more follow-up HbA1c measurements. The eGFR was measured using the Chronic Kidney Disease Epidemiology Collaboration equation and clinical/biochemical results from routine care were extracted from electronic health records. RESULTS: In total, 3466 participants (50% female, 78% White, 13% African Caribbean, 3% Asian and 6% of mixed heritage or self-reporting as 'other') were followed for a median (IQR) of 8.2 (4.2-11.6) years. Of this cohort, 249 (7%) showed kidney disease progression. Higher HbA1c variability was independently associated with a higher risk of kidney disease progression, with HRs (95% CIs) of 7.76 (4.54, 13.26), 2.62 (1.75, 3.94) and 5.46 (3.40, 8.79) (lowest vs highest HbA1c variability quartile) for methods 1-3, respectively. Increasing age, baseline HbA1c, systolic BP and urinary albumin/creatinine ratio were also associated with kidney disease progression (p<0.05 for all). African Caribbean ethnicity was associated with an increased risk of kidney disease progression (HR [95% CI] 1.47 [1.09, 1.98], 1.76 [1.32, 2.36] and 1.57 [1.17, 2.12] for methods 1-3, respectively) and this effect was independent of glycaemic variability and other traditional risk factors. CONCLUSIONS/INTERPRETATION: We observed an independent association between HbA1c variability, evaluated using three distinct methods, and significant kidney disease progression in a multi-ethnic type 1 diabetes cohort. Further studies are needed to elucidate the mechanisms that may explain our results and evaluate if HbA1c variability is a modifiable risk factor for preventing diabetic kidney disease progression.

Evaluation of the Steno Type 1 Risk Engine in predicting cardiovascular events in an ethnic mixed population of type 1 diabetes mellitus and its association with chronic microangiopathy complications.

BACKGROUND: The Steno Type 1 Risk Engine (ST1RE) was developed to aid clinical decisions in primary prevention for individuals with type 1 diabetes (T1D), as existing cardiovascular (CV) risk models for the general population and type 2 diabetes tend to underestimate CV risk in T1D. However, the applicability of ST1RE in different populations remains uncertain, as prediction models developed for one population may not accurately estimate risk in another. This study aimed to evaluate the performance of the ST1RE in predicting CV events among ethnically mixed T1D individuals and its association with the progression of microangiopathy complications. METHODS: A retrospective survey of 435 adults with T1D who were free of CV events at baseline was assessed by ST1RE and chronic diabetes complications at 5 and 10 years of follow-up. The estimated CV risk rates were compared with the observed rates at 5 and 10 years using statistical analyses, including Receiver Operating Characteristic (ROC) curve analysis, Hosmer-Lemeshow test, Kaplan-Meier curves analysis and Cox-regression models. RESULTS: Among 435 patients (aged 25 years; interquartile range [IQR]: 21-32) with a median T1D duration of 13 years (IQR: 9-18), only 5% were categorized into the high ST1RE group. Within a median follow-up of 9.2 years (IQR 6.0-10.7), 5.5% of patients experienced a CV event (1.6%, 14.9%, and 50% from the low, moderate, and high-risk groups, respectively). The hazard ratios (HRs) for CV events were greater in the high-risk group (HR 52.02; 95% CI 18.60-145.51, p < 0.001) and in the moderate-risk group (HR 8.66; 95% CI 2.90-25.80, p < 0.001) compared to the low-risk group. The ST1RE estimated CV events were similar to the observed at 5 years (3.4% vs. 3.5%; χ2 = 10.12, p = 0.899) and 10 years (6.8% vs. 9.9%; χ2 = 14.80, p = 0.676) of follow-up. The progression of microangiopathies was greater in the high vs. low for retinopathy (p = 0.008), diabetic kidney disease (p < 0.001), peripheral neuropathy (p = 0.021), and autonomic neuropathy (p = 0.008). CONCLUSIONS: ST1RE performed well in predicting CV events at 5 and 10 years of follow-up. Moreover, higher ST1RE scores were associated with the progression of microangiopathy complications in this genetically heterogeneous T1D population.

Can HbA1c Alone Be Safely Used to Guide Insulin Therapy in African Youth with Type 1 Diabetes?

Introduction: The relationship of HbA1c versus the mean blood glucose (MBG) is an important guide for diabetes management but may differ between ethnic groups. In Africa, the patient's glucose information is limited or unavailable and the management is largely guided by HbA1c. We sought to determine if the reference data derived from the non-African populations led to an appropriate estimation of MBG from HbA1c for the East African patients. Methods: We examined the relationship of HbA1c versus MBG obtained by the continuous glucose monitoring in a group of East African youth having type 1 diabetes in Kenya and Uganda (n = 54) compared with the data obtained from A1c-derived average glucose (ADAG) and glucose management indicator (GMI) studies. A self-identified White (European heritage) population of youth (n = 89) with type 1 diabetes, 3-18 years old, living in New Orleans, LA, USA metropolitan area (NOLA), was studied using CGM as an additional reference. Results: The regression equation for the African cohort was MBG (mg/dL) = 32.0 + 16.73 × HbA1c (%), r = 0.55, p < 0.0001. In general, the use of the non-African references considerably overestimated MBG from HbA1c for the East African population. For example, an HbA1c = 9% (74.9 mmol/mol) corresponded to an MBG = 183 mg/dL (10.1 mmol/L) in the East African group, but 212 mg/dL (11.7 mmol/L) using ADAG, 237 mg/dL (13.1 mmol/L) using GMI and 249 mg/dL (13.8 mmol/L) using NOLA reference. The reported occurrence of serious hypoglycemia among the African patients in the year prior to the study was 21%. A reference table of HbA1c versus MBG from the East African patients was generated. Conclusions: The use of non-African-derived reference data to estimate MBG from HbA1c generally led to the overestimation of MBG in the East African patients. This may put the East African and other African patients at higher risk for hypoglycemia when the management is primarily based on achieving target HbA1c in the absence of the corresponding glucose data.

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.

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.

Youth and non-European ethnicity are associated with increased loss of publicly funded insulin pump access in New Zealand people with type 1 diabetes.

AIMS: Continuous subcutaneous insulin infusion (CSII) has been publicly funded in New Zealand for people living with type 1 diabetes since 2012. The aim of the current study was to investigate the loss of access, once obtained, to public-funded CSII. The frequency and socio-demographics of access, and loss, to CSII spanning the period 2012 to 2018 were examined. METHODS: Nationally held data collections including the New Zealand Virtual Diabetes Register were used to calculate the overall and subgroup proportions using and ceasing CSII. A logistic regression model was used to estimate odds ratios for pump use for the predictor variables (sex, age group, ethnicity and deprivation index) and to calculate odds ratios for pump cessation for the same demographic factors. RESULTS: Once CSII access is obtained, approximately 4% per year cease CSII in a subsequent year. This cessation of publicly funded CSII was not distributed equally among the population, showing over-representation in youth (aged 10-29 years) and non-Europeans, in particular Maori and Pasifika. Compounding this, it remains less likely for people with diabetes to initially access publicly funded CSII in New Zealand if they are non-European and more socio-economically deprived. CONCLUSIONS: In New Zealand, Maori and Pasifika, as well as youth, are over-represented in the cessation of CSII in comparison with Europeans and all other age groups. These groups are also less likely to gain initial access to public funding. Efforts to understand and reduce these disparities are needed, including review of current public funding access criteria.

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.

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.

Effects of family and neighborhood risks on glycemic control among young black adolescents with type 1 diabetes: Findings from a multi-center study.

While individual and family risk factors that contribute to health disparities in children with type 1 diabetes have been identified, studies on the effects of neighborhood risk factors on glycemic control are limited, particularly in minority samples. This cross-sectional study tested associations between family conflict, neighborhood adversity and glycemic outcomes (HbA1c) in a sample of urban, young Black adolescents with type 1 diabetes(mean age = 13.4 ± 1.7), as well as whether neighborhood adversity moderated the relationship between family conflict and HbA1c. Participants (N = 128) were recruited from five pediatric diabetes clinics in two major metropolitan US cities. Diabetes-related family conflict was measured via self-report questionnaire (Diabetes Family Conflict Scale; DFCS). Neighborhood adversity was calculated at the census block group level based on US census data. Indictors of adversity were used to calculate a neighborhood adversity index (NAI) for each participant. Median family income was $25,000, suggesting a low SES sample. In multiple regression analyses, DFCS and NAI both had significant, independent effects on glycemic control (ß = 0.174, P = 0.034 and ß = 0.226 P = 0.013, respectively) after controlling for child age, family socioeconomic status and insulin management regimen. Tests of effects of the NAI and DFCS interaction on HbA1c found no significant moderating effects of neighborhood adversity. Even within contexts of significant socioeconomic disadvantage, variability in degree of neighborhood adversity predicts diabetes-related health outcomes in young Black adolescents with type 1 diabetes. Providers should assess social determinants of health such as neighborhood resources that may impact adolescents' ability to maintain optimal glycemic control.

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.

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.

Diabetes-by-Proxy: Virtual Embodiment of Disease by Oklahoma Choctaw Parents of Children with Type 1 Diabetes.

Childhood type 1 diabetes is increasing globally and requires meticulous at-home care due to risks for fatal outcomes if glucose levels are not continuously and correctly monitored. Type 1 diabetes research has focused on metabolism and stress measurements confirming high parental worry levels. However, research on caregivers' management strategies has lagged. We show parents' intense, all-encompassing work to preempt a disastrous drop in their child's glucose as a stress-path to the virtual embodiment of their child's condition. That is, parents acquire diabetes-by-proxy. Our findings derive from four and half years of ethnographic research with the same 19 families in the Choctaw Nation of Oklahoma. These parents were exceptionally engaged as caregivers and distressed by the potentially fatal outcome of type 1 diabetes mismanagement. Diabetes-by-proxy names the parents' experience and validates clinical attention to them as they cope with their crucial caregiving commitment.

Evaluation of lipoprotein-associated phospholipase A2 as a marker for renal microvasculopathy in adolescents with Type 1 diabetes.

AIM: To assess the relevance of lipoprotein-associated phospholipase A2 activity as a diagnostic and prognostic marker for renal microvascular diseases. METHODS: We analysed lipoprotein-associated phospholipase A2 activity and lysophosphatidylcholine levels (as a surrogate marker of oxidative stress) in 165 adolescents (aged 17.0 ± 2.3 years) with a history of Type 1 diabetes greater than 10 years. Clinical data were obtained from the German/Austrian nationwide Diabetes-Patients Follow-up (DPV) registry at blood collection and on average 2.4 ± 1.3 years later at follow-up. Relationships between lipoprotein-associated phospholipase A2 activity and clinical, demographic and laboratory variables, lysophosphatidylcholine levels and presence of albuminuria were evaluated by multivariable linear and logistic regression. RESULTS: Lipoprotein-associated phospholipase A2 activity was higher in male than female adolescents (P = 0.002). Albuminuria was present in 14% (22/158) of participants at baseline, and 5% (4/86) of participants without albuminuria at baseline developed albuminuria until follow-up. Lipoprotein-associated phospholipase A2 activity was associated neither with present nor with incident albuminuria. Lysophosphatidylcholine did not correlate with lipoprotein-associated phospholipase A2 activity. Cross-sectional bivariate correlation as well as multivariable linear regression analysis revealed a negative correlation of lipoprotein-associated phospholipase A2 activity with HbA1c and HDL-cholesterol. CONCLUSIONS: Lipoprotein-associated phospholipase activity was not associated with surrogate markers for oxidative stress and early diabetic nephropathy. The association of decreased lipoprotein-associated phospholipase A2 activity with poor glucose control might limit its function as a predictor of micro- and macrovascular diseases in Type 1 diabetes.

Children and adolescents with type 1 and type 2 diabetes mellitus in the Pediatric Diabetes Consortium Registries: comparing clinical characteristics and glycaemic control.

AIM: To compare the characteristics of children and adolescents with type 1 vs. type 2 diabetes in the Pediatric Diabetes Consortium (PDC) registries. METHODS: Participants were 10 to < 21 years of age at diagnosis; there were 484 with type 1 diabetes and 1236 with type 2 diabetes. RESULTS: Children and adolescents with type 2 diabetes were more likely to be female, overweight/obese, and from low-income, minority ethnic families. Children and adolescents with type 1 diabetes were more likely to present with diabetic ketoacidosis and have higher mean HbA1c levels at diagnosis. More than 70% in both cohorts achieved target HbA1c levels < 58 mmol/mol (< 7.5%) within 6 months, but fewer participants with type 1 than type 2 diabetes were able to maintain target HbA1c levels after 6 months consistently throughout 3 years post diagnosis. Of the 401 participants with type 2 diabetes with ≥ 24 months diabetes duration on enrolment in the registry, 47% required no insulin treatment. Median C-peptide levels were 1.43 mmol/l in the subset of participants with type 2 diabetes in whom it was measured, but only 0.06 mmol/l in the subset with type 1 diabetes. CONCLUSIONS: Although families of children and adolescents with type 2 diabetes face greater socio-economic obstacles and risk factors for poor diabetes outcomes, the greater retention of residual endogenous insulin secretion likely contributes to the increased ability of children and adolescents with type 2 diabetes to maintain target HbA1c during the first 3 years of diabetes diagnosis.

Trends in Incidence of Type 1 and Type 2 Diabetes Among Youths - Selected Counties and Indian Reservations, United States, 2002-2015.

Diabetes is one of the most common chronic diseases among persons aged <20 years (1). Onset of diabetes in childhood and adolescence is associated with numerous complications, including diabetic kidney disease, retinopathy, and peripheral neuropathy, and has a substantial impact on public health resources (2,3). From 2002 to 2012, type 1 and type 2 diabetes incidence increased 1.4% and 7.1%, respectively, among U.S. youths (4). To assess recent trends in incidence of diabetes in youths (defined for this report as persons aged <20 years), researchers analyzed 2002-2015 data from the SEARCH for Diabetes in Youth Study (SEARCH), a U.S. population-based registry study with clinical sites located in five states. The incidence of both type 1 and type 2 diabetes in U.S. youths continued to rise at constant rates throughout this period. Among all youths, the incidence of type 1 diabetes increased from 19.5 per 100,000 in 2002-2003 to 22.3 in 2014-2015 (annual percent change [APC] = 1.9%). Among persons aged 10-19 years, type 2 diabetes incidence increased from 9.0 per 100,000 in 2002-2003 to 13.8 in 2014-2015 (APC = 4.8%). For both type 1 and type 2 diabetes, the rates of increase were generally higher among racial/ethnic minority populations than those among whites. These findings highlight the need for continued surveillance for diabetes among youths to monitor overall and group-specific trends, identify factors driving these trends, and inform health care planning.

Diabetes distress and HbA1c in racially/ethnically and socioeconomically diverse youth with type 1 diabetes.

BACKGROUND: Diabetes distress, the emotional burden of caring for the chronic demands of diabetes, has not been well described in children and preadolescents with type 1 diabetes (T1D). This gap is particularly evident among youth of lower socioeconomic status (SES) and/or racial/ethnic minorities. Since these groups are more likely to have disparities in health outcomes and healthcare related to their diabetes, factors that could potentially improve glycemic and other diabetes-related outcomes should be studied closely. OBJECTIVE: We hypothesized that (a) diabetes distress levels would be elevated in children with markers of lower SES and those of racial/ethnic minorities, and (b) higher HbA1c would be predicted by higher diabetes distress levels, when controlling for race/ethnicity, SES, and clinical covariates. METHODS: One hundred and eighty-seven youth age 9 to 13 with T1D completed age-appropriate Problem Areas in Diabetes (PAID) questionnaires using a web-based portal during routine diabetes care visits. RESULTS: PAID scores were significantly elevated in youth who had surrogate markers of lower SES and who were from racial/ethnic minority backgrounds. In multivariate models including race/ethnicity or the SES variables and controlling for clinical covariates, the factor most predictive of higher HbA1c was elevated PAID score. CONCLUSIONS: Diabetes distress is elevated in a younger population of children with T1D who are from racial/ethnic minority backgrounds or have markers of lower SES. Interventions that target distress and/or expand the safety net in these populations could potentially improve glycemic outcomes.

Health-related quality of life and metabolic control in immigrant and Italian children and adolescents with type 1 diabetes and in their parents.

OBJECTIVE: To determine if the diabetes-specific health-related quality of life (D-HRQOL) of young people with type 1 diabetes (T1D) and their parents is influenced by migrant status. SUBJECTS AND METHODS: One hundred and twenty-five patients (12.4 ± 3.55 years, males 53.6%) with T1D and their parents (102 mothers, 37 fathers) were enrolled and categorized into: group A (both foreign parents) and group B (both native Italian parents). The Pediatric Quality of Life Inventory™ 3.0 Diabetes Module (PedsQL™ 3.0 DM) was used to evaluate the D-HRQOL. Data on diabetic ketoacidosis (DKA) at T1D onset, insulin therapy, and glycosylate hemoglobin (HbA1c) were also collected. RESULTS: Group A (n = 40), compared to group B (n = 85), had higher frequency of DKA at T1D onset (P < .001) and a lower use of sensor augmented insulin pump (P = .015). HbA1c values were higher in group A than in group B (P < .001). Patients' "Diabetes symptoms" (P = .004), "Treatment barriers" (P = .001), and "Worry" (P = .009) scales scores were lower in group A than in group B. Mothers of group A had lower scores in "Diabetes symptoms" (P = .030), "Treatment barriers" (P < .001), "Treatment adherence" (P = .018), "Communication" (P = .009) scales, and total score (P = .011) compared to the group B ones. High PedsQL™ 3.0 DM was significantly associated with being Italian, being prepubertal, and having lower HbA1c mean levels. CONCLUSIONS: Being a migrant confers disadvantages in terms of D-HRQOL and metabolic control in children and adolescents with T1D. Specific educational interventions should be considered in the clinical care of patients with migration background, to improve D-HRQOL and health status.

Type 1 diabetes self-management behaviors among emerging adults: Racial/ethnic differences.

BACKGROUND: Emerging adulthood is a vulnerable period for poor blood glucose control and self-management behaviors (SMBs) among individuals with type 1 diabetes. Racial/ethnic minority young adults have poorer glycemic outcomes than non-Hispanic whites; however, little is known about possible racial/ethnic differences in frequency of SMBs among emerging adults (EAs). OBJECTIVE: To examine racial/ethnic differences in SMBs and to determine associations between SMBs and blood glucose control. METHODS: A sample of EAs (ages 18-25 years; N = 3456) from the type 1 diabetes exchange registry was used to conduct multivariate analyses to examine (a) racial/ethnic differences in SMBs and (b) associations between SMBs and blood glucose control for each racial/ethnic group. RESULTS: Compared to non-Hispanic whites, African Americans and Hispanics less frequently took an insulin bolus for snacks, less frequently checked blood glucose with a meter, and were more likely to not use insulin to carbohydrate ratios. African Americans also less frequently checked blood glucose prior to mealtime boluses and more frequently missed insulin doses. SMBs that were associated with blood glucose control across groups were frequency of checking blood glucose at mealtime, missing an insulin dose, and checking blood glucose with a meter. CONCLUSIONS: Promoting two SMBs: checking blood glucose and taking insulin doses as needed among African American EAs may be important to address racial disparities in glycemic outcomes. Future research should evaluate possible social and contextual mechanisms contributing to low engagement in these behaviors among African Americans to inform strategies to address racial differences in glycemic outcomes.

Glycemic control and self-rated health among ethnically diverse adolescents with type 1 diabetes.

OBJECTIVE: Patient-reported outcomes have received increased attention as treatment outcomes and indicators of wellbeing. A1c has been criticized as lacking patient-centered relevance because individuals are often unaware of their A1c, and studies also often fail to show a benefit of intensive control on quality of life. The goal of the present study was to examine self-rated health (SRH) in relation to diabetes self-care behaviors, socioeconomic factors, treatment regimen characteristics, and glycemic control among predominately Hispanic and African American adolescents with type 1 diabetes (T1D). METHODS: Adolescents with T1D (N = 84) were recruited for a cross-sectional study evaluating psychosocial factors and identity development. SRH, self-care behaviors, treatment regimen, and demographic variables were collected through self-report while glycemic control (A1c) was determined through chart review. RESULTS: Participants were predominantly racial and ethnic minorities (48% Hispanic, 27% African American; 52% female, M age 15.9, M diabetes duration 6.8, M A1c 10% [86 mmol/mol]). Significant bivariate relationships emerged between SRH and sex, A1c, self-care behavior, and insulin delivery method. Covariate-adjusted regression models showed only A1c was significantly and independently related to SRH. Mediation analyses illustrated a significant indirect effect for A1c between self-care and SRH. CONCLUSION: These findings suggest glycemic control is associated with self-ratings of health among ethnically diverse adolescents with T1D. SRH appears to be an appropriate patient-reported outcome that is sensitive to glycemic control in this population.