Characteristics of adult- compared to childhood-onset type 1 diabetes.

AIMS: To compare diagnosis characteristics, diabetes management and comorbidities in a population diagnosed with type 1 diabetes in childhood with those in a similar population diagnosed in adulthood to identify disease differences related to the age of diabetes onset. METHODS: This analysis was performed using the T1D Exchange Clinic Registry, a cross-sectional survivor cohort. Retrospectively collected characteristics were compared across the following age-at-diagnosis groups: <10, 10-17, 18-24, 25-39 and ≥40 years. RESULTS: The entire cohort included 20 660 participants [51% female, median (interquartile range) age 18 (14-36) years, 82% non-Hispanic white]. Diabetic ketoacidosis at diagnosis was more common among those with onset in childhood. Participants diagnosed as adults were more likely to be overweight/obese at diagnosis and to have used oral agents preceding type 1 diabetes diagnosis (57%). Current insulin pump use was less frequent in participants diagnosed at older ages. Current glycaemic control, measured by HbA1c , insulin requirements and use of a continuous glucose monitor were not different by age at diagnosis. Coeliac disease was the only comorbidity that was observed to have a different frequency by age at diagnosis, being more common in the participants diagnosed at a younger age. CONCLUSIONS: These results show differences and similarities between type 1 diabetes diagnosed in childhood vs adulthood; notably, there was a tendency for there was a higher frequency of diabetic ketoacidosis at onset in children and a higher frequency of use of oral antidiabetes agents in adults. The data indicate that there is little distinction between the clinical characteristics and outcomes of type 1 diabetes diagnosed in childhood vs adulthood. Optimizing glycaemic control remains a challenge in all age groups, with lower use of insulin pumps impacting those diagnosed as adults.

Time spent outside of target glucose range for young children with type 1 diabetes: a continuous glucose monitor study.

AIM: To assess the associations between demographic and clinical characteristics and sensor glucose metrics in young children with type 1 diabetes, using masked, continuous glucose monitoring data from children aged 2 to < 8 years. RESEARCH DESIGN AND METHODS: The analysis included 143 children across 14 sites in the USA, enrolled in a separate clinical trial. Eligibility criteria were: age 2 to <8 years; type 1 diabetes duration ≥3 months; no continuous glucose monitoring use for past 30 days; and HbA1c concentration 53 to <86 mmol/mol (7.0 to <10.0%). All participants wore masked continuous glucose monitors up to 14 days. RESULTS: On average, participants spent the majority (13 h) of the day in hyperglycaemia (>10.0 mmol/l) and a median of ~1 h/day in hypoglycaemia (<3.9 mmol/l). Participants with minority race/ethnicity and higher parent education levels spent more time in target range, 3.9-10.0 mmol/l, and less time in hyperglycaemia. More time in hypoglycaemia was associated with minority race/ethnicity and younger age at diagnosis. Continuous glucose monitoring metrics were similar in pump and injection users. CONCLUSIONS: Given that both hypo- and hyperglycaemia negatively impact neurocognitive development, strategies to increase time in target glucose range for young children are needed.

Autism spectrum disorder in children with Type 1 diabetes.

AIM: Links between autism spectrum disorder (ASD) and autoimmune diseases, including Type 1 diabetes have been proposed. This study assessed the frequency of ASD in children with Type 1 diabetes in the T1D Exchange (T1DX) registry and the impact of ASD on characteristics of children with Type 1 diabetes. METHODS: Analysis included 10 032 participants aged < 18 years (median Type 1 diabetes duration 6.5 years, 48% female, 77% non-Hispanic White). Diagnosis of ASD was defined as autism, Asperger's or pervasive developmental disorder. RESULTS: A diagnosis of ASD was recorded for 159 (1.58%) participants. Those with ASD were predominantly male (88% vs. 51% of those without ASD, P < 0.001) and slightly older (median 14 vs. 13 years, P = 0.022). Occurrence of diabetic ketoacidosis at Type 1 diabetes diagnosis was similar (35% vs. 41%, P = 0.161). Pump use was lower in those with ASD (51% vs. 63%, P = 0.005) but continuous glucose monitor use was similar (24% vs. 27%, P = 0.351). Median HbA1c was slightly lower in those with ASD [68 vs. 69 mmol/mol (8.4% vs. 8.5%), P = 0.006]. This difference was more pronounced after adjusting for confounders. CONCLUSIONS: The frequency of ASD in the T1DX registry was similar to that in the general population. These data show that despite deficits in communication, occurrence of diabetic ketoacidosis was similar in youth with and without ASD. Pump use was less frequent in those with ASD, possibly due to sensory issues, although CGM use did not differ. The lower HbA1c may be due to a more regimented routine with ASD. Because comorbidities such as ASD complicate care of patients with Type 1 diabetes, further research is needed to support these children.

Assessing patient-reported outcomes for automated insulin delivery systems: the psychometric properties of the INSPIRE measures.

AIM: Participants in clinical trials assessing automated insulin delivery systems report perceived benefits and burdens that reflect their experiences and may predict their likelihood of uptake and continued use of this novel technology. Despite the importance of understanding their perspectives, there are no available validated and reliable measures assessing the psychosocial aspects of automated insulin delivery systems. The present study assesses the initial psychometric properties of the INSPIRE measures, which were developed for youth and adults with Type 1 diabetes, as well as parents and partners. METHODS: Data from 292 youth, 159 adults, 150 parents of youth and 149 partners of individuals recruited from the Type 1 Diabetes Exchange Registry were analysed. Participants completed INSPIRE questionnaires and measures of quality of life, fear of hypoglycaemia, diabetes distress, glucose monitoring satisfaction. Exploratory factor analysis assessed factor structures. Associations between INSPIRE scores and other measures, HbA1c , and technology use assessed concurrent and discriminant validity. RESULTS: Youth, adult, parent and partner measures assess positive expectancies of automated insulin delivery systems. Measures range from 17 to 22 items and are reliable (α = 0.95-0.97). Youth, adult and parent measures are unidimensional; the partner measure has a two-factor structure (perceptions of impact on partners versus the person with diabetes). Measures showed concurrent and discriminant validity. CONCLUSIONS: INSPIRE measures assessing the positive expectancies of automated insulin delivery systems for youth, adults, parents and partners have meaningful factor structures and are internally consistent. The developmentally sensitive INSPIRE measures offer added value as clinical trials test newer systems, systems become commercially available and clinicians initiate using these systems.

Text-message responsiveness to blood glucose monitoring reminders is associated with HbA1c benefit in teenagers with Type 1 diabetes.

AIMS: To evaluate an 18-month text-messaging intervention in teenagers with Type 1 diabetes and to assess factors associated with text responsiveness and glycaemic benefit. METHODS: Teenagers with diabetes (N = 147), aged 13-17 years, received two-way text reminders at self-selected times to check blood glucose levels and reply with blood glucose results. RESULTS: At baseline, the participants (48% boys, 78% white, 63% pump-treated) had a mean ± sd age of 14.9 ± 1.3 years, diabetes duration of 7.1 ± 3.9 years and HbA1c concentration of 69 ± 12 mmol/mol (8.5 ± 1.1%). The mean proportion of days with ≥1 blood glucose response declined over time (0-6 months, 60 ± 26% of days, 7-12 months, 53 ± 31% of days, 13-18 months, 43 ± 33% of days). Over 18 months, 49% responded with ≥1 blood glucose result on ≥50% of days (high responders). Regression analysis controlling for baseline HbA1c revealed no significant change in HbA1c from baseline to 18 months in high responders (P = 0.54) compared with a significant HbA1c increase in low responders (+0.3%, P = 0.01). In participants with baseline HbA1c ≥64 mmol/mol (≥8%), high responders were 2.5 times more likely than low responders to have a clinically significant [≥5.5 mmol/mol (≥0.5%)] HbA1c decrease over 18 months (P < 0.05). In participants with baseline HbA1c <64 mmol/mol(<8%), high responders were 5.7 times more likely than low responders to have an 18-month HbA1c <58 mmol/mol (<7.5%; P < 0.05). CONCLUSIONS: Teenagers with Type 1 diabetes who responded to text reminders on ≥50% of days over 18 months experienced clinically significant glycaemic benefit. There remains a need to tailor interventions to maintain teenager engagement and optimize improvements.

Factors associated with disordered eating behaviours in adolescents with Type 1 diabetes.

AIMS: To assess the occurrence of disordered eating behaviours in teenagers with Type 1 diabetes and to compare characteristics according to level of disordered eating behaviours. METHODS: In this cross-sectional study, we collected adolescents' demographic and diabetes management data by parent-youth interview and chart review. Teenagers completed psychosocial surveys, including the Diabetes Eating Problem Survey-Revised (DEPS-R), a diabetes-specific measure of disordered eating behaviours. We categorized teenagers according to level of disordered eating behaviours: low, DEPS-R score <10; moderate, DEPS-R score 10-19; and high, DEPS-R score ≥20. RESULTS: The 178 teenagers (48% girls) were aged 14.9±1.3 years, with diabetes duration of 7.4±3.7 years. Most (59%) had low, 26% had moderate, and 15% had high levels of disordered eating behaviours. Several biomedical and psychosocial characteristics differed by level of disordered eating behaviours. There were more girls in the moderate (62%) and high (65%) than in the low level of disordered eating behaviours group (37%; P=0.003) and more obese teenagers in the moderate (13%) and high (27%) groups than in the low group (4%; P=0.0003). Frequency of daily blood glucose monitoring decreased (P=0.0006) and HbA1c level increased (P=0.01) with greater level of disordered eating behaviours. A greater level of disordered eating behaviours was also associated with poorer treatment adherence, more negative affect regarding blood glucose monitoring, poorer quality of life, and more depressive symptoms (all P<0.0001), along with more diabetes-specific family conflict (P=0.01). CONCLUSIONS: Identifying teenagers with Type 1 diabetes who have moderate and high levels of disordered eating behaviours may prevent progression to eating disorders and substantial morbidity by directing support and intervention efforts to those in need.

Predictors of changing insulin dose requirements and glycaemic control in children, adolescents and young adults with Type 1 diabetes.

AIMS: To investigate trajectories of daily insulin dose requirements and glycaemic control in children, adolescents and young adults with Type 1 diabetes and to identify factors associated with changing insulin needs and deterioration in HbA1c . METHODS: The sample was a dynamic cohort of 635 children, adolescents and young adults with Type 1 diabetes from one centre. Data from clinic visits occurring over 20 years (1993-2013) were extracted from medical records. From age 7-24 years, we evaluated HbA1c and insulin dose according to sex, insulin regimen and weight status. RESULTS: Participants provided a mean ± sd of 10.7±4.3 years of insulin dose data and 12.0±4.6 years of HbA1c data. At first observation, the mean ± sd age was 10.0±2.6 years, diabetes duration was 2.8±2.1 years, insulin dose was 0.8±0.2 units/kg and HbA1c was 74±18 mmol/mol (8.9±1.6%). Insulin dose was higher in girls at ages 8-13 years (P<0.0001 to P<0.01), but higher in boys/young men at ages 16-21 years (P<0.0001 to P=0.04). HbA1c was higher in girls/young women at ages 16-24 years (P<0.0001 to P=0.01). Compared with injection therapy, pump therapy was associated with lower insulin dose at ages 8-24 years (P<0.0001 to P=0.03) and lower HbA1c at ages 8-22 years (P<0.0001 to P=0.005). HbA1c did not differ between overweight/obese and normal weight individuals, but overweight/obese individuals had higher insulin dose at ages 8-13 years (P<0.0001 to P=0.03). CONCLUSIONS: This longitudinal assessment identifies clinically meaningful modifiable (e.g. insulin regimen) and non-modifiable (e.g. sex) factors predictive of insulin requirements and HbA1c levels in young people with Type 1 diabetes; anticipatory insulin adjustments may improve glycaemic control.

Pharmacokinetic and pharmacodynamic profile of the sodium-glucose co-transporter-2 inhibitor empagliflozin in young people with Type 2 diabetes: a randomized trial.

AIMS: To assess the pharmacokinetic and pharmacodynamic profile of a single dose of empagliflozin in young people with Type 2 diabetes to identify the appropriate doses for further paediatric development. METHODS: We conducted a single-dose, open-label, randomized, parallel-group study with empagliflozin 5 mg, 10 mg and 25 mg in young people with Type 2 diabetes aged 10-17 years. RESULTS: Of 39 participants screened, 27 were randomized and completed the study; their mean (± sd) age was 14.1±2.0 years and body weight was 96.7±23.5 kg. Compared with similar studies in adults with Type 2 diabetes, the maximum observed plasma concentrations were slightly lower with the 10-mg and 25-mg doses, and the area under the plasma concentration-time curve was slightly lower with the 10-mg but slightly higher with the 25-mg dose. The adjusted mean increases in urinary glucose excretion were 53 g/24 h (95% CI 32,74), 73 g/24 h (95% CI 52,94) and 87 g/24 h (95% CI 68,107), and the adjusted mean decreases in fasting plasma glucose were 0.9 mmol/l (95% CI -1.6,-0.1), 0.9 mmol/l (95% CI -1.7,-0.2) and 1.1 mmol/l (95% CI -1.8,-0.5) for the 5- 10- and 25-mg doses, respectively. There were no serious adverse events and one investigator-reported drug-related event (dehydration). CONCLUSIONS: After a single oral dose of empagliflozin, adults and young people with Type 2 diabetes had similar exposure-response relationships after adjusting for significant covariates. These data support testing 10-mg and/or 25-mg doses of empagliflozin in an upcoming paediatric phase III Type 2 diabetes trial. (ClinicalTrials.gov registration no.: NCT02121483).

Validation of a contemporary adherence measure for children with Type 1 diabetes: the Diabetes Management Questionnaire.

AIMS: To evaluate the psychometric properties of the Diabetes Management Questionnaire, a brief, self-report measure of adherence to contemporary diabetes management for young people with Type 1 diabetes and their caregivers. METHODS: A total of 273 parent-child dyads completed parallel versions of the Diabetes Management Questionnaire. Eligible children (aged 8-18 years) had Type 1 diabetes for ≥1 year. A multidisciplinary team designed the Diabetes Management Questionnaire as a brief, self-administered measure of adherence to Type 1 diabetes management over the preceding month; higher scores reflect greater adherence. Psychometrics were evaluated for the entire sample and according to age of the child. RESULTS: The children (49% female) had a mean ± sd (range) age 13.3 ± 2.9 (8-18) years and their mean ± sd HbA1c was 71 ± 15 mmol/mol (8.6 ± 1.4%). Internal consistency was good for parents (α = 0.83) and children (α = 0.79). Test-retest reliability was excellent for parents (intraclass correlation coefficient =0.83) and good for children (intraclass correlation coefficient = 0.65). Parent and child scores had moderate agreement (intraclass correlation coefficient = 0.54). Diabetes Management Questionnaire scores were inversely associated with HbA1c (parents: r = -0.41, P < 0.0001; children: r = -0.27, P < 0.0001). Psychometrics were stronger in the children aged ≥13 years compared with those aged < 13 years, but were acceptable in both age groups. Mean ± sd Diabetes Management Questionnaire scores were higher among children who were receiving insulin pump therapy (n = 181) than in children receiving multiple daily injections (n = 92) according to parent (75.9 ± 11.8 vs. 70.5 ± 15.5; P = 0.004) and child report (72.2 ± 12.1 vs. 67.6 ± 13.9; P = 0.006). CONCLUSIONS: The Diabetes Management Questionnaire is a brief, valid self-report measure of adherence to contemporary diabetes self-management for people aged 8-18 years who are receiving either multiple daily injections or insulin pump therapy.

Validation of the Diabetes Family Impact Scale: a new measure of diabetes-specific family impact.

AIMS: To develop and validate the Diabetes Family Impact Scale, a scale to measure the impact of diabetes on families. METHODS: The Diabetes Family Impact Scale was developed by an iterative process, with input from multidisciplinary diabetes providers and parents of children with Type 1 diabetes. The psychometric properties of the Diabetes Family Impact Scale were assessed in parents of children with Type 1 diabetes. This assessment included internal consistency, convergent validity and exploratory factor analysis. RESULTS: Parents (n = 148) of children (mean ± sd age 12.9 ± 3.3 years) with Type 1 diabetes (mean ± sd duration 6.2 ± 3.6 years) completed the 15-item Diabetes Family Impact Scale. After eliminating one item, the 14-item measure demonstrated good internal consistency (Cronbach's α  =  0.84). Correlations between the Diabetes Family Impact Scale and measures of parent diabetes burden (r = 0.48, P < 0.0001), stressful life events (r = 0.28, P = 0.0007), and child's quality of life (r = -0.52 and -0.54, P < 0.0001 for generic and diabetes-specific quality of life, respectively) supported the convergent validity of the instrument. Factor analysis identified four factors corresponding to the four survey domains (school, work, finances and family well-being). CONCLUSIONS: The Diabetes Family Impact Scale measures diabetes-specific family impacts with good internal consistency and convergent validity and may be a useful tool in clinical and research settings.

Relationships of neophobia and pickiness with dietary variety, dietary quality and diabetes management adherence in youth with type 1 diabetes.

BACKGROUND/OBJECTIVES: Neophobia, pickiness and diet variety are associated with diet quality and health outcomes in young children. Limited research has examined these associations among youth with type 1 diabetes (T1D), a population at risk for poor health outcomes when dietary quality is inadequate. SUBJECTS/METHODS: Youth (n=252, age 13.2 ± 2.8 years, 92% white, diabetes duration 6.3 ± 3.4 years) with T1D and their parents completed 3-day youth diet records; parents completed questionnaires regarding youth neophobia, pickiness and diabetes management adherence. Medical records provided biomedical data. Dietary quality indicators included Nutrient-Rich Foods Index 9.3 (NRF9.3), Healthy Eating Index-2005 (HEI-2005), Whole Plant Food Density (WPFD) and key single nutrients. Dietary variety was operationalized as a count of 20 recommended food groups consumed. Relationships of dietary quality and diabetes management adherence with neophobia, pickiness and dietary variety as independent variables were examined using multiple linear regression analyses adjusted for total energy intake, age, height and weight. RESULTS: In multiple linear regression analyses, NRF9.3 and HEI-2005 were each inversely associated with neophobia and pickiness, and positively associated with dietary variety. WPF and potassium were each positively associated and saturated fat was inversely associated with dietary variety. However, in models simultaneously including neophobia, pickiness and dietary variety as independent correlates of dietary quality, only relationships with dietary variety remained significant. Diabetes management adherence was negatively associated with both neophobia and pickiness and positively associated with dietary variety. CONCLUSIONS: Findings suggest that increasing dietary variety may contribute toward improved dietary quality among youth with T1D, despite potentially adverse influences of neophobia and pickiness.

Associations of family meal frequency with family meal habits and meal preparation characteristics among families of youth with type 1 diabetes.

BACKGROUND: While benefits of family mealtimes, such as improved dietary quality and increased family communication, have been well-documented in the general population, less is known about family meal habits that contribute to more frequent family meals in youth with type 1 diabetes. METHODS: This cross-sectional study surveyed 282 youth ages 8-18 years with type 1 diabetes and their parents on measures regarding diabetes-related and dietary behaviours. T-tests determined significant differences in youth's diet quality, adherence to diabetes management and glycaemic control between those with and without regular family meals (defined as ≥ 5 meals per week). Logistic regression analyses determined unadjusted and adjusted associations of age, socio-demographics, family meal habits, and family meal preparation characteristics with regular family meals. RESULTS: 57% of parents reported having regular family meals. Families with regular family meals had significantly better diet quality as measured by the Healthy Eating Index (P < 0.05) and the NRF9.3 (P < 0.01), and adherence to diabetes management (P < 0.001); the difference in glycaemic control approached statistical significance (P = 0.06). Priority placed on, pleasant atmosphere and greater structure around family meals were each associated with regular family meals (P < 0.05). Meals prepared at home were positively associated with regular family meals, while convenience and fast foods were negatively associated (P < 0.05). Families in which at least one parent worked part-time or stayed at home were significantly more likely to have regular family meals than families in which both parents worked full-time (P < 0.05). In the multivariate logistic regression model, greater parental priority given to family mealtimes (P < 0.001) and more home-prepared meals (P < 0.001) predicted occurrence of regular family meals; adjusting for parent work status and other family meal habits. CONCLUSIONS: Strategies for promoting families meals should not only highlight the benefits of family meals, but also facilitate parents' skills for and barriers to home-prepared meals.

The impact of blood glucose and HbA(1c) goals on glycaemic control in children and adolescents with Type 1 diabetes.

AIMS: To evaluate parents' goals and parents' perceptions of physicians' goals for blood glucose and HbA(1c) in children and adolescents with Type 1 diabetes. METHODS: In a cross-sectional observational assessment, parents (80% mothers) of 153 children/adolescents (56% female), aged 12.9 ± 2.3 years (range 8-16 years) with Type 1 diabetes for 6.3 ± 3.5 years, completed surveys regarding their goals and their perceptions of physicians' goals for their child's blood glucose and HbA(1c) levels. RESULTS: Children/adolescents had a mean HbA(1c) of 69 ± 16 mmol/mol (8.4 ± 1.4%) and checked blood glucose levels 3.8 ± 1.2 times/day; 23% received pump therapy. Almost half of parents reported a blood glucose goal of 130 (80-180) mg/dl [7.2 (4.4-10) mmol/l]; 75% of parents reported a HbA(1c) goal of 42-64 mmol/mol (6-8%). HbA(1c) was significantly lower when parents reported HbA(1c) goals ≤ 64 mmol/mol (≤ 8%) vs. > 64 mmol/mol (> 8%) [67 ± 14 mmol/mol (8.3 ± 1.2%) vs. 76 ± 20 mmol/mol (9.1 ± 1.8%), respectively, P = 0.02]. Parents' blood glucose and HbA(1c) goals were tightly linked with parents' perceptions of physicians' blood glucose and HbA(1c) goals (69% concordant, P < 0.0001; 88% concordant, P < 0.0001, respectively). CONCLUSIONS: There was a significant association between lower parent HbA(1c) goals and lower child/adolescent HbA(1c) . Further, parents appear to set glycaemic goals based upon their perceptions of physician goals. Future studies should assess the relationship between parents' perceptions of health-care providers' goals and health-care providers' actual goals and the impact of unified family/provider goal-setting on glycaemic control.

Associations of food preferences and household food availability with dietary intake and quality in youth with type 1 diabetes.

The objective of this study was to examine associations of food preferences and availability with dietary intake in youth with type 1 diabetes, for whom dietary intake and quality are essential to disease management. Youth (n=252, age 13.2±2.8 y, diabetes duration 6.3±3.4 y) reported preferences and parents reported household availability for 61 food items categorized as fruit, vegetables, whole grains, refined grains and fats/sweets. Youth energy-adjusted daily servings of food groups, Healthy Eating Index-2005 and Nutrient Rich Foods 9.3 scores were calculated from 3-day diet records. Associations of dietary intake and quality variables with preference and availability of all food groups were evaluated by linear regressions adjusted for sociodemographic characteristics. Fruit and whole grain intake were positively related to corresponding preference and availability; whole grain intake and refined grain availability were inversely related. Vegetable, refined grain and fats/sweets intake were unrelated to preference and availability. Diet quality measures were related positively to fruit preference and whole grain availability and inversely to refined grains availability. Findings indicate associations of dietary intake with food preference and availability vary by food group in youth with type 1 diabetes. Measures of overall dietary quality were more consistently associated with food group availability than preferences.

Contemporary rates of severe hypoglycaemia in youth with type 1 diabetes: variability by insulin regimen.

AIMS: To determine incidence rates of severe hypoglycaemia and compare incidence rates by insulin regimen in a diverse sample of youth with Type 1 diabetes from two sites. METHODS: In this observational study, 255 youth (51% female) aged 9-15 years receiving varied insulin regimens provided data prospectively for a median of 1.2 years. Reported episodes of severe hypoglycaemia, defined as episodes requiring help from another person for oral treatment or episodes resulting in seizure/coma, and current insulin regimens were collected systematically. Incidence rates were calculated and compared according to insulin regimen in bivariate and multivariate analyses. RESULTS: At first encounter, participants had a median age of 12.2 years (range 9.0-15.0), median diabetes duration of 4.4 years (range 1.0-13.0) and mean HbA(1c) of 67 ± 12 mmol/mol (8.3 ± 1.1%). The incidence rate was 37.6/100 patient-years for all severe hypoglycaemia and 9.6/100 patient-years for seizure/coma. The incidence rate for severe hypoglycaemia was 31.8/100 patient-years on continuous subcutaneous insulin infusion (pump therapy), 34.4/100 patient-years on basal-bolus injections and 46.1/100 patient-years on NPH (NPH vs. pump therapy: P = 0.04). The incidence rate for seizure/coma was 4.5/100 patient-years on pump therapy, 11.1/100 patient-years on basal-bolus injections and 14.4/100 patients-years on NPH (NPH vs. pump therapy: P = 0.004). In the multivariate analysis, the rate of seizure/coma was significantly higher for those on NPH vs. pump therapy (rate ratio 2.9, P = 0.03). CONCLUSIONS: Rates of severe hypoglycaemia in youth with Type 1 diabetes remain high. Pump therapy was associated with lower rates of all severe hypoglycaemia and seizure/coma in comparison with NPH.

Re-examining a measure of diabetes-related burden in parents of young people with Type 1 diabetes: the Problem Areas in Diabetes Survey - Parent Revised version (PAID-PR).

AIMS: In a pediatric patients, the burden of diabetes lies within the family. In the current era of intensive insulin therapy, perceived parental burden may affect the family's efforts at effective diabetes management. The aims of this study were to re-examine and revise a measure of perceived parental burden associated with caring for a child with diabetes in the current era. METHODS: A geographically diverse population of young people (N = 376) with Type 1 diabetes and their parents included participants in the Juvenile Diabetes Research Foundation continuous glucose monitoring study and patients from the Joslin Diabetes Center. Participants provided data on demographics, diabetes management, diabetes-specific family conflict, and quality of life at baseline and after 6 months of follow-up. RESULTS: Young people were 12.9 ± 2.7 years old with diabetes duration of 6.3 ± 3.5 years. Mean HbA(1C) was 8.0 ± 1.2%(64 mmol/mol), 58% received insulin pump therapy, and young people monitored blood glucose 5.2 ± 2.3 times/day. Factor analysis yielded two factors, 'Immediate Burden' and 'Theoretical Burden'. The Problem Areas in Diabetes Survey - Parent Revised version (PAID-PR) demonstrated excellent internal consistency (Cronbach's α = 0.87; factor 1 α = 0.78; factor 2 α = 0.83). Greater parental burden was associated with more frequent blood glucose monitoring, higher HbA(1C) levels, greater diabetes-specific family conflict, and lower quality of life. Test-retest analysis was acceptable (r = 0.62). CONCLUSIONS: The PAID-PR demonstrated excellent internal consistency, good test-retest reliability, and associations with diabetes-specific family conflict and quality of life. This brief measure may have both clinical and research utility in the management of young people with Type 1 diabetes.

Transitions in care: support group for young adults with Type 1 diabetes.

AIMS: Young adulthood is a challenging period for patients with Type 1 diabetes as developmental changes complicate Type 1 diabetes management and gaps in care may arise as patients transition from paediatric to adult providers. This period has been associated with worsening diabetes outcomes. One approach to aid young adults during this transition period could entail professionally led support groups to enhance self-motivation and facilitate peer-to-peer interactions. We implemented and evaluated a support group for young adults with Type 1 diabetes as a pilot project. METHODS: Young adults with Type 1 diabetes (18-30 years) participated in monthly, professionally led support groups for 5 months. Questionnaires were completed pre- and post-group and chart review data were collected regarding glycaemic control and visit frequency in the year before and after group participation. RESULTS: Participation in the group was associated with improvement in HbA(1c) and decreased self-reported diabetes burden, along with a trend for an increase in diabetes-related self-care behaviours. Frequency of visits did not vary from pre- to post-group. Discussion topics identified by participants included managing diabetes in day-to-day life, experiences and interactions with others who do not have diabetes and emotions related to diabetes. Participants identified that they sought a diabetes care team that offers knowledge, support and a multidisciplinary team. CONCLUSIONS: Professionally led support groups may have utility for increasing social support and optimizing diabetes outcomes in young adults with Type 1 diabetes.

Estimated morbidity and mortality in adolescents and young adults diagnosed with Type 2 diabetes mellitus.

AIMS: To estimate remaining life expectancy (RLE), quality-adjusted life expectancy (QALE), causes of death and lifetime cumulative incidence of microvascular/macrovascular complications of diabetes for youths diagnosed with Type 2 diabetes. METHODS: A Markov-like computer model simulated the life course for a hypothetical cohort of adolescents/young adults in the USA, aged 15-24 years, newly diagnosed with Type 2 diabetes following either conventional or intensive treatment based on the UK Prospective Diabetes Study. Outcomes included RLE, discounted QALE in quality-adjusted life years (QALYs), cumulative incidence of microvascular/macrovascular complications and causes of death. RESULTS: Compared with a mean RLE of 58.6 years for a 20-year-old in the USA without diabetes, conventional treatment produced an average RLE of 43.09 years and 22.44 discounted QALYs. Intensive treatment afforded an incremental 0.98 years and 0.44 discounted QALYs. Intensive treatment led to lower lifetime cumulative incidence of all microvascular complications and lower mortality from microvascular complications (e.g. end-stage renal disease (ESRD) death 19.4% vs. 25.2%). Approximately 5% with both treatments had ESRD within 25 years. Lifetime cumulative incidence of coronary heart disease (CHD) increased with longer RLE and greater severity of CHD risk factors. Incorporating disutility (loss in health-related quality of life) of intensive treatment resulted in net loss of QALYs. CONCLUSIONS: Adolescents/young adults with Type 2 diabetes lose approximately 15 years from average RLE and may experience severe, chronic complications of Type 2 diabetes by their 40s. The net clinical benefit of intensive treatment may be sensitive to preferences for treatment. A comprehensive management plan that includes early and aggressive control of cardiovascular risk factors is likely needed to reduce lifetime risk of CHD.

Validation of an abbreviated adherence measure for young people with Type 1 diabetes.

AIMS: Adherence to diabetes-related tasks is an important construct. The Diabetes Self-Management Profile is a validated, semi-structured interview assessing adherence in paediatric patients with Type 1 diabetes. We created and validated a brief questionnaire version of the Diabetes Self-Management Profile called the Diabetes Self-Management Questionnaire. METHODS: Young people with Type 1 diabetes, ages 9-15 years (n = 338) and their parents provided data from chart review, interview and questionnaires. RESULTS: Diabetes Self-Management Questionnaire scores correlated significantly with Diabetes Self-Management Profile scores, HbA(1c) , blood glucose monitoring frequency and other measures associated with adherence and/or glycaemic control (P ≤ 0.01 for all). Young people and parent scores were correlated (r = 0.55, P < 0.0001). The Diabetes Self-Management Questionnaire demonstrated modest internal consistency (Cronbach's α = 0.59), adequate for a brief measure of multidimensional adherence. In addition, factor analysis confirmed one factor. CONCLUSIONS: This brief adherence questionnaire demonstrated construct validity in young people 9-15 years old and their parents and may have utility in clinical and research settings.