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Objective: This paper reports on the initial outcomes of a new mHealth intervention to reduce diabetes distress (DD) in families of school-age children living with type 1 diabetes (T1D) entitled, 'Remedy to Diabetes Distress' (R2D2). Methods: We randomized 34 families (mean child age = 10 ± 1.4 years; 53% male, 85% White, mean HbA1c = 7.24 ± 0.71%) to one of three delivery arms differing only by number of telehealth visits over a 10-week period: zero visits = self-guided (SG), three visits = enhanced self-guided (ESG), or eight visits = video visits (VV). All families had 24 × 7 access to digital treatment materials for 10 weeks. We examined the feasibility and acceptability of R2D2. We used the Problem Areas in Diabetes-Child (PPAIDC and PAIDC, parent and child, respectively) to examine treatment effects by time and delivery arm. We performed sensitivity analyses to characterize families who responded to R2D2. Results: It was feasible for families to access R2D2 mHealth content independently, though attendance at telehealth visits was variable. Parents and children reported high satisfaction scores. There were significant pre-post reductions in PPAIDC (p = 0.026) and PAIDC (p = 0.026) scores but no differences by delivery arm. There were no differences in child age, sex, race, or pre-treatment HbA1c for responders versus non-responders, though families who responded reported higher PPAID-C scores pre-treatment (p = 0.01) and tended to report shorter diabetes duration (p = 0.08). Conclusions: Initial results support the acceptability and treatment effects of R2D2 regardless of the frequency of adjunctive virtual visits. Characterizing responders may help to identify families who could benefit from R2D2 in the future. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To explore 24-h postexercise glycemia and hypoglycemia risk, data from the Type 1 Diabetes Exercise Initiative Pediatric (T1DEXIP) study were analyzed to examine factors that may influence glycemia. RESEARCH DESIGN AND METHODS: This was a real-world observational study with participant self-reported physical activity, food intake, and insulin dosing (multiple daily injection users). Heart rate, continuous glucose data, and available pump data were collected. RESULTS: A total of 251 adolescents (42% females), with a mean ± SD age of 14 ± 2 years, and hemoglobin A1c (HbA1c) of 7.1 ± 1.3% (54 ± 14.2 mmol/mol), recorded 3,319 activities over ∼10 days. Trends for lower mean glucose after exercise were observed in those with shorter disease duration and lower HbA1c; no difference by insulin delivery modality was identified. Larger glucose drops during exercise were associated with lower postexercise mean glucose levels, immediately after activity (P < 0.001) and 12 to <16 h later (P = 0.02). Hypoglycemia occurred on 14% of nights following exercise versus 12% after sedentary days. On nights following exercise, more hypoglycemia occurred when average total activity was ≥60 min/day (17% vs. 8% of nights, P = 0.01) and on days with longer individual exercise sessions. Higher nocturnal hypoglycemia rates were also observed in those with longer disease duration, lower HbA1c, conventional pump use, and if time below range was ≥4% in the previous 24 h. CONCLUSIONS: In this large real-world pediatric exercise study, nocturnal hypoglycemia was higher on nights when average activity duration was higher. Characterizing both participant- and event-level factors that impact glucose in the postexercise recovery period may support development of new guidelines, decision support tools, and refine insulin delivery algorithms to better support exercise in youth with diabetes. [ABSTRACT FROM AUTHOR]

Background: The amount and type of food consumed impacts the glycemic response and insulin needs of people with type 1 diabetes mellitus (T1DM). Daily variability in consumption, reflected in diet quality, may acutely impact glycemic levels and insulin needs. Objective: Type 1 Diabetes Exercise Initiative (T1DEXI) data were examined to evaluate the impact of daily diet quality on near-term glycemic control and interaction with exercise. Methods: Using the Remote Food Photography Method, <8 d of dietary intake data were analyzed per participant. Diet quality was quantified with the Healthy Eating Index-2015 (HEI), where a score of 100 indicates the highest-quality diet. Each participant day was classified as low HEI (<57) or high HEI (>57) based on the mean of nationally reported HEI data. Within participants, the relationship between diet quality and subsequent glycemia measured by continuous glucose monitoring (CGM) and total insulin dose usage was evaluated using a paired t-test and robust regression models. Results: Two hundred twenty-three adults (76% female) with mean ± SD age, HbA1c, and body mass index (BMI) of 37 ± 14 y, 6.6% ± 0.7%, and 25.1 ± 3.6 kg/m², respectively, were included in these analyses. The mean HEI score was 56 across all participant days. On high HEI days (mean, 66 ± 4) compared with low HEI days (mean, 47 ± 5), total time in range (70-180 mg/dL) was greater (77.2% ± 14% compared with 75.7% ± 14%, respectively, P = 0.01), whereas time above 180 mg/dL (19% ± 14% compared with 21% ± 15%, respectively, P = 0.004), mean glucose (143 ± 22 compared with 145 ± 22 mg/dL, respectively, P = 0.02), and total daily insulin dose (0.52 ± 0.18 compared with 0.54 ± 0.18 U/kg/d, respectively, P = 0.009) were lower. The interaction between diet quality and exercise on glycemia was not significant. Conclusions: Higher HEI scores correlated with improved glycemia and lower insulin needs, although the impact of diet quality was modest and smaller than the previously reported impact of exercise. [ABSTRACT FROM AUTHOR]

Introduction: Group engagement is an important component of video-based telehealth interventions, yet this construct remains understudied. In the present study, we applied a multidimensional conceptualization of group engagement in two video-based telehealth interventions that either aimed to reduce fear of hypoglycemia or diabetes distress in parents of children with type 1 diabetes. We examined variability in group engagement across parents and assessed the relationship between parents' level of group engagement and their treatment outcomes. Methods: Twenty-nine parents participated in one of two manualized, closed-group, telehealth interventions and completed outcome measures pre- and post-treatment. We behaviorally coded telehealth sessions based on six dimensions of group engagement using the Group Engagement Measure (inter-rater reliability = 0.94). We examined correlations between group engagement dimensions, parent psychosocial well-being, and child hemoglobin A1c. Further, we examined independent sample t -tests to assess differences between treatment groups. Results: Mean parent age was 37.69 ± 6.83 years, mean child age was 7.69 ± 3.76 years, and mean child hemoglobin A1c was 8.06 ± 1.27% (41.4% had a hemoglobin A1c <7.5%). Parents who spent more time attending to other group member's issues, reported lower hypoglycemia fear at post-treatment, and parents who showed more active support of the group leader's purpose/goals during the session also reported fewer depressive symptoms at post-treatment. Discussion: We identify several dimensions of group engagement that are associate with improved parent psychosocial and child hemoglobin A1c outcomes. Intervention designs that use group engagement to guide treatment planning or inform treatment-related decisions in video-based telehealth interventions could help families achieve more optimal treatment outcomes. [ABSTRACT FROM AUTHOR]

Purpose: The authors examined associations between preschoolers' daily glycemic variability, parents' report of hypoglycemia fear, and preschoolers' daily moderate to vigorous physical activity (MVPA) and sedentary behavior (SB) in 25 families of preschoolers with type 1 diabetes. Methods: Parents completed a valid measure of hypoglycemia fear, and their child wore an accelerometer for up to 7 days. Parents provided glucose data from their child's devices. The authors used multiple regression and multilevel modeling to analyze their data. Results: Preschoolers (mean age 4.2 [1.7] y; 50% boys) engaged in a mean of 154.5 (59.6) and 339.2 (85.1) minutes of MVPA and SB per day, respectively, and parents reported relatively low levels of hypoglycemia worry and avoidance behaviors. Preschoolers' SB (r =.19, P =.02) and MVPA (r = −.20, P =.01) levels were significantly correlated with parental hypoglycemia worry scores but not with parents' hypoglycemia behavior scores (P =.15 and P =.92, respectively). While multilevel models did not show an association between MVPA and preschoolers' glycemic variability, preschoolers who engaged in more daily SB experienced higher glycemic variability (P =.04). Conclusions: Research exploring MVPA, SB, and parental hypoglycemia fear in preschoolers with type 1 diabetes could have important clinical implications because it may reveal modifiable treatment targets that can impact preschoolers' health and activity patterns. [ABSTRACT FROM AUTHOR]

We explored the association between macronutrient intake and postprandial glucose variability in a large sample of youth living with T1D and consuming free-living meals. In the Type 1 Diabetes Exercise Initiative Pediatric (T1DEXIP) Study, youth took photographs before and after their meals on 3 days during a 10 day observation period. We used the remote food photograph method to obtain the macronutrient content of youth's meals. We also collected physical activity, continuous glucose monitoring, and insulin use data. We measured glycemic variability using standard deviation (SD) and coefficient of variation (CV) of glucose for up to 3 h after meals. Our sample included 208 youth with T1D (mean age: 14 ± 2 years, mean HbA1c: 54 ± 14.2 mmol/mol [7.1 ± 1.3%]; 40% female). We observed greater postprandial glycemic variability (SD and CV) following meals with more carbohydrates. In contrast, we observed less postprandial variability following meals with more fat (SD and CV) and protein (SD only) after adjusting for carbohydrates. Insulin modality, exercise after meals, and exercise intensity did not influence associations between macronutrients and postprandial glycemic variability. To reduce postprandial glycemic variability in youth with T1D, clinicians should encourage diversified macronutrient meal content, with a goal to approximate dietary guidelines for suggested carbohydrate intake. [ABSTRACT FROM AUTHOR]

Objective: At the outset of the coronavirus disease 2019 (COVID-19) pandemic, health care systems rapidly implemented telehealth services to maintain continuity of type 1 diabetes care. Youth of color are more likely to have suboptimal glycemic control and may benefit most from efforts to ensure continuity of care. However, research examining the perspectives of families of youth of color regarding telehealth for pediatric type 1 diabetes care is limited. We gathered perspectives from youth of color, their caregivers, and health care providers (HCPs) on telehealth for type 1 diabetes care during COVID-19. Methods: Fifty participants (22 caregivers, 19 youth, and nine HCPs) completed semi-structured interviews conducted in English (n = 44) or Spanish (n = 6). Transcripts containing mentions of telehealth (n = 33) were included for qualitative analysis to extract themes pertaining to perceptions of type 1 diabetes care and telehealth use during COVID-19. Results: Themes related to perceptions, feasibility, and quality of telehealth diabetes care were obtained. Most families had positive perceptions of telehealth. Families and HCPs described logistical and technical challenges and noted the potential for disparities in telehealth access and use. Furthermore, caregivers and HCPs felt that the lack of in-person interaction and limited access to clinical data affected the quality of care. Conclusion: Families of youth of color with type 1 diabetes mostly had positive perceptions of telehealth but also identified issues with feasibility and quality of care. Our findings highlight a need for interventions promoting equal access to telehealth and quality care for all youth with type 1 diabetes to minimize disruptions in care. [ABSTRACT FROM AUTHOR]

Objective Parents of youth with type 1 diabetes (T1D) are fearful their children will experience nighttime hypoglycemia. Currently, the Hypoglycemia Fear Survey for Parents (HFS-P) lacks items that specifically assess parents' nighttime fear. This study aimed to fill this gap by rigorously identifying new items to specifically assess parent fear of nighttime hypoglycemia and then examine the psychometric properties of the revised Hypoglycemia Fear Survey for Parents including Nighttime Fear (HFS-P-NF). Methods For Phase 1, we recruited 10 pediatric diabetes providers and 15 parents/caregivers of youth with T1D to generate items related to fear of nighttime hypoglycemia. For Phase 2, we recruited an additional 20 parents/caregivers to pilot-test the newly generated items. For Phase 3, we recruited another 165 parents/caregivers to evaluate structural validity via confirmatory factor analyses, reliability, and content validity of the revised HFS-P-NF. Results In Phase 1, we generated 54 items. In Phase 2, we removed 34 items due to violations of distributional normality and nonsignificant correlations. In Phase 3, a four-factor model reflecting behaviors maintaining high glucose, helplessness, negative social consequences, and nighttime worries was the best fitting model for the HFS-P-NF. The new items demonstrated strong internal consistency (α  = 0.96) and strong to moderate relationships with criterion and content validity measures. Conclusion The current study provides initial evidence of validity and reliability for new items on the HFS-P-NF that broadened the conceptualization of parent fear of nighttime hypoglycemia. These findings are important to clinicians who may consider screening for parent fear of nighttime hypoglycemia more comprehensively. [ABSTRACT FROM AUTHOR]

Exercise is a cornerstone of diabetes self-care because of its association with many health benefits. Several studies that have explored the best time of day to exercise to inform clinical recommendations have yielded mixed results. For example, for people with prediabetes or type 2 diabetes, there may be benefits to timing exercise to occur after meals, whereas people with type 1 diabetes may benefit from performing exercise earlier in the day. One common thread is the health benefits of consistent exercise, suggesting that the issue of exercise timing may be secondary to the goal of helping people with diabetes establish an exercise routine that best fits their life. [ABSTRACT FROM AUTHOR]

Regular physical activity and exercise are important for youth and essential components of a healthy lifestyle. For youth with type 1 diabetes, regular physical activity can promote cardiovascular fitness, bone health, insulin sensitivity, and glucose management. However, the number of youth with type 1 diabetes who regularly meet minimum physical activity guidelines is low, and many encounter barriers to regular physical activity. Additionally, some health care professionals (HCPs) may be unsure how to approach the topic of exercise with youth and families in a busy clinic setting. This article provides an overview of current physical activity research in youth with type 1 diabetes, a basic description of exercise physiology in type 1 diabetes, and practical strategies for HCPs to conduct effective and individualized exercise consultations for youth with type 1 diabetes. [ABSTRACT FROM AUTHOR]

Objective. Youth with type 1 diabetes mellitus (T1D) are at risk for experiencing nighttime hypoglycemia, and many parents report significant anxiety at night regarding glucose management. Limited data exist examining continuous nighttime glucose levels as a predictor of parent fear of nighttime hypoglycemia. The present study aimed to examine the relationship between parent fear of nighttime hypoglycemia and nighttime blood glucose levels as measured by continuous glucose monitors (CGMs). Methods. A sample of 136 parents/caregivers of youth with T1D completed a one-time survey and youth provided 14 days of CGM data. We conducted regression models with mean nighttime glucose value, glycemic variability, and the percent of nighttime glucose values in the hypoglycemic, target, and hyperglycemic range as the independent variable and parents' fear of nighttime hypoglycemia as the dependent variable. Results. Overnight hypoglycemia measured via CGM did not predict parents' fear of nighttime hypoglycemia; however, average youth nighttime glucose levels and nighttime glycemic variability were significant predictors of parents' fear of nighttime hypoglycemia. Conclusions. The results of the present study indicate that parents of youth with T1D may report higher fear of hypoglycemia if they observe increased fluctuations in their child's nighttime glucose levels, regardless of how often their child's glucose levels are in the hypoglycemic range. The results suggest that clinicians may consider screening for parent fear of nighttime hypoglycemia in families of youth who present with large variability in their glucose values overnight. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Maintenance of glycemic control during and after exercise remains a major challenge for individuals with type 1 diabetes. Glycemic responses to exercise may differ by exercise type (aerobic, interval, or resistance), and the effect of activity type on glycemic control after exercise remains unclear. RESEARCH DESIGN AND METHODS: The Type 1 Diabetes Exercise Initiative (T1DEXI) was a real-world study of at-home exercise. Adult participants were randomly assigned to complete six structured aerobic, interval, or resistance exercise sessions over 4 weeks. Participants self-reported study and nonstudy exercise, food intake, and insulin dosing (multiple daily injection [MDI] users) using a custom smart phone application and provided pump (pump users), heart rate, and continuous glucose monitoring data. RESULTS: A total of 497 adults with type 1 diabetes (mean age ± SD 37 ± 14 years; mean HbA1c ± SD 6.6 ± 0.8% [49 ± 8.7 mmol/mol]) assigned to structured aerobic (n = 162), interval (n = 165), or resistance (n = 170) exercise were analyzed. The mean (± SD) change in glucose during assigned exercise was −18 ± 39, −14 ± 32, and −9 ± 36 mg/dL for aerobic, interval, and resistance, respectively (P < 0.001), with similar results for closed-loop, standard pump, and MDI users. Time in range 70–180 mg/dL (3.9–10.0 mmol/L) was higher during the 24 h after study exercise when compared with days without exercise (mean ± SD 76 ± 20% vs. 70 ± 23%; P < 0.001). CONCLUSIONS: Adults with type 1 diabetes experienced the largest drop in glucose level with aerobic exercise, followed by interval and resistance exercise, regardless of insulin delivery modality. Even in adults with well-controlled type 1 diabetes, days with structured exercise sessions contributed to clinically meaningful improvement in glucose time in range but may have slightly increased time below range. [ABSTRACT FROM AUTHOR]

Objective: Among persons with type 1 diabetes (T1D), adolescents often experience the greatest challenge achieving optimal treatment engagement and glycemic targets. Risk‐taking behaviors often increase during adolescence and may interfere with engagement in T1D care. We developed the Diabetes‐Specific Risk‐Taking Inventory (DSRI) to assess risky T1D self‐management behaviors in adolescents with T1D. In the current study, we aimed to examine the DSRI's psychometric properties. Research Design and Methods: We surveyed a national sample of 224 adolescents from the T1D Exchange registry (M age = 16.9 ± 1.1, 49% female, M A1c = 8.5% ± 1.3, 76.8% on insulin pumps) in a cross‐sectional design. Participants completed the DSRI and measures of engagement, general risk‐taking, and executive functioning and reported on incidence of severe hypoglycemia and diabetic ketoacidosis over the past year. Results: The DSRI demonstrated reliability (internal consistency: α = 0.89; test–retest reliability: r = 0.86, p < 0.01). Concurrent validity was demonstrated through significant associations between the DSRI and T1D engagement (r = −0.75), general risk‐taking (r = 0.57), executive dysfunction (r = 0.34), and report of severe hypoglycemia over the past year (r = 0.22). The DSRI accounted for unique variance in adolescents' most recent glycated hemoglobin, above and beyond other variables, indicating its incremental validity. Conclusions: Overall, initial psychometrics suggest the DSRI is a reliable and valid measure of risks that adolescents may take with their T1D care. This innovative self‐report measure has potential to be an actionable clinical tool to screen for high‐risk behaviors not routinely assessed in T1D clinical care. [ABSTRACT FROM AUTHOR]

Objective: To measure the acceptability and diagnostic accuracy of commonly used depression screening measures to determine ideal cutoff scores that sensitively identify depressive disorders in adolescents with type 1 diabetes (T1D).Research Design and Methods: One hundred adolescents (12-17 years old) completed a reference standard, semistructured diagnostic interview and both long and short versions of five commonly used depression screening measures in the United States. To assess feasibility and acceptability, we used screener completion time and participant ratings, respectively. We used descriptive statistics, area under the receiver operating characteristic (ROC) curve analyses, and paired-sample area differences under the ROC curve to assess each measure's diagnostic validity against our reference standard and to determine ideal cutoff scores for this sample.Results: Adolescents had a mean age of 15.0 ± 1.7 years, time since T1D diagnosis of 6.0 ± 4.1 years, and glycated hemoglobin (HbA1c) of 8.9 ± 1.8%. Sixty percent of adolescents were male, 15% endorsed a current depressive disorder, and 15% endorsed lifetime suicidality. Measures demonstrated low sensitivity (0.33-0.67) to detect current depressive disorders using preexisting cutoff scores. However, adjusted cutoff scores increased sensitivity and reduced false negatives. All depression screening measures demonstrated "good" to "excellent" predictive validity, and the Children's Depression Inventory-2 Short version demonstrated significantly greater diagnostic accuracy than the Patient Health Questionnare-2 item version for adolescents.Conclusions: Clinics should consider using screening measures with the greatest diagnostic accuracy as identified in this study and adjusting measure cutoff scores to increase sensitivity and reduce false negatives. [ABSTRACT FROM AUTHOR]

Objective: To explore glycated haemoglobin (HbA1c) patterns in 5‐ to 9‐year‐olds in the recent‐onset period of type 1 diabetes and identify parent psychosocial factors that may predict children's HbA1c trajectory using a prospective, longitudinal design. Research design and methods: We measured family demographics and parent psychosocial factors at baseline. We collected HbA1c levels from children every 3 months for up to 30 months. Deriving several features around HbA1c trends, we used k‐means clustering to group trajectories and linear and logistic regressions to identify parent psychosocial predictors of children's HbA1c trajectories. Results: The final cohort included 106 families (48 boys, mean child age 7.50 ± 1.35 years and mean diabetes duration 4.71 ± 3.19 months). We identified four unique HbA1c trajectories in children: high increasing, high stable, intermediate increasing and low stable. Compared to a low stable trajectory, increasing parent‐reported hypoglycaemia fear total score was associated with decreased odds of having a high stable or intermediate increasing trajectory. Increasing parent‐reported diabetes‐specific family conflict total score was associated with increased odds of having a high stable or intermediate increasing trajectory. Conclusions: We are the first to identify distinct HbA1c trajectories in 5‐ to 9‐year‐olds with recent‐onset type 1 diabetes as well as parent psychosocial factors that may predict high stable or increasing trajectories and could represent future treatment targets. [ABSTRACT FROM AUTHOR]

OBJECTIVE: In response to the coronavirus disease 2019 (COVID-19) pandemic and social distancing guidelines, our pediatric diabetes team rapidly changed the format of conducting diabetes clinic from in person to telehealth. We compared the actual number and rate of completed, canceled, and no-show visits between an 8-week period in 2019, when we exclusively conducted visits in person and the same 8-week period in 2020, during the COVID-19 quarantine, when we exclusively conducted visits via telehealth. METHODS: We used electronic health record data for all patients, as well as Dexcom continuous glucose monitoring data collected for a subset of youths during the COVID-19 quarantine and the immediate pre–COVID-19 period. RESULTS: Although there was a difference in the absolute number of in-person versus telehealth visits canceled during these two time periods, there was no difference in the rates of completed, canceled, and no-show visits completed in person or via telehealth. This finding suggests that, despite a rapid shift to a completely new health care delivery model, our providers completed a similar rate of patient care via telehealth during the COVID-19 quarantine and that telehealth may be a feasible method for providing diabetes care. However, our results also suggested that youths' glucose management was less optimal during the quarantine period. CONCLUSION: COVID-19 presented an opportunity to adopt and test the feasibility of using a telehealth delivery model for routine diabetes care. Yet, to make telehealth a viable treatment delivery alternative will likely involve the uptake of new clinic procedures, investment in institutional infrastructure, and team-based flexibility. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The recent-onset period of type 1 diabetes (T1D) in early school-age children should include comprehensive, parent-focused T1D education as well as family-centered resources and support to help with adjustment. Here, we present parent/caregiver perspectives on specific areas of concern during the recent-onset period of T1D and their preferred timing for different topics related to T1D education. METHODS: Parents/caregivers of 5- to 9-year-old children with T1D completed a card-sorting task and qualitative interview to describe ongoing areas of concern and preferred educational topics during the first year after T1D diagnosis. RESULTS: Thirteen parents/caregivers (aged 35.1 ± 6.9 years) of a child with T1D (aged 8.9 ± 0.8 years, 11.3 ± 7.0 months post-diagnosis) completed the card-sorting task, and 11 completed the qualitative interview. Parents/caregivers endorsed four preferred stages of education: basic education and T1D survival skills during month 1 post-diagnosis, application and practice of T1D skills from months 1–3, access to community supports to cope with anxiety and distress from months 3–6, and support to build autonomy and manage burnout beyond month 6 post-diagnosis. Parents/caregivers endorsed four main themes for ongoing concerns: anxiety, autonomy, distress, and support. CONCLUSION: Parents endorsed four time points for education and psychosocial services within the first year of a T1D diagnosis. Parents/caregivers may benefit the most from psychosocial interventions 3–6 months post-diagnosis, once they have had sufficient time to develop basic T1D management skills. These findings support the need for regular parent psychosocial screening and access to scalable psychosocial interventions in the first year post-diagnosis of T1D. [ABSTRACT FROM AUTHOR]

Background: People with type 1 diabetes estimate meal carbohydrate content to accurately dose insulin, yet, protein and fat content of meals also influences postprandial glycemia. We examined accuracy of macronutrient content estimation via a novel phone app. Participant estimates were compared with expert nutrition analyses performed via the Remote Food Photography Method© (RFPM©). Methods: Data were collected through a novel phone app. Participants were asked to take photos of meals/snacks on the day of and day after scheduled exercise, enter carbohydrate estimates, and categorize meals as low, typical, or high protein and fat. Glycemia was measured via continuous glucose monitoring. Results: Participants (n = 48) were 15-68 years (34 ± 14 years); 40% were female. The phone app plus RFPM© analysis captured 88% ± 29% of participants' estimated total energy expenditure. The majority (70%) of both low-protein and low-fat meals were accurately classified. Only 22% of high-protein meals and 17% of high-fat meals were accurately classified. Forty-nine percent of meals with <30 g of carbohydrates were overestimated by an average of 25.7 ± 17.2 g. The majority (64%) of large carbohydrate meals (≥60 g) were underestimated by an average of 53.6 ± 33.8 g. Glycemic response to large carbohydrate meals was similar between participants who underestimated or overestimated carbohydrate content, suggesting that factors beyond carbohydrate counting may impact postprandial glycemic response. Conclusions: Accurate estimation of total macronutrients in meals could be leveraged to improve insulin decision support tools and closed loop insulin delivery systems; development of tools to improve macronutrient estimation skills should be considered. [ABSTRACT FROM AUTHOR]

Background: Young children with Type 1 diabetes (T1D) are at risk for extreme blood glucose variability, a risk factor for suboptimal glycated hemoglobin A1c (HbA1c) and long-term health complications. We know that a reciprocal relationship exists between sleep and glycemic outcomes in older youth with T1D; however, little research has examined objective sleep in young children (<7 years) with T1D.Purpose: This study examines bidirectional associations between sleep behaviors and glycemic variability in young children with T1D.Methods: Thirty-nine young children with T1D (Mage 4.33 ± 1.46 years; MHbA1c 8.10 ± 1.06%) provided accelerometry data to objectively measure sleep onset latency, number of nighttime awakenings, and total sleep time. We also assessed HbA1c, average blood glucose, and glycemic variability (i.e., standard deviation of blood glucose from device downloads). We evaluated bidirectional relationships using multilevel modeling in SAS, with weekday/weekend as a Level 2 moderator.Results: Children averaged 8.5 ± 1.44 hr of sleep per night, but only 12.8% met current sleep recommendations. Children experienced more nighttime awakenings, higher blood glucose, and more glycemic variability on weekends. Sleep onset latency and nighttime awakenings predicted greater glycemic variability on weekends, and weekend glycemic variability predicted increased nighttime awakenings.Conclusions: Most young children with T1D did not meet sleep recommendations. Young children experienced more nighttime awakenings, higher blood glucose, and increased glycemic variability on weekends only, when routines may be less predictable. Findings suggest that one way families of young children with T1D may be able to decrease glycemic variability is to keep consistent routines on weekdays and weekends. [ABSTRACT FROM AUTHOR]

Objective: There is limited information regarding the potential effect macronutrients have on postprandial glycemic variability in young children with type 1 diabetes (T1D). To date, studies examining nutrition and glycemic outcomes either assess these factors at a single timepoint, or aggregate large datasets for group level analyses. This study examined how inter- and intraindividual fluctuations in carbohydrate, fat, and protein intake impact glycemic variability in the postprandial period for young children with T1D.Methods: Thirty-nine young children, aged 2-6 years, wore a continuous glucose monitor for 72 hr, while their parents completed detailed diet records of all food intake. The analyses tested three multilevel models to examine intra- and interindividual differences between food intake and postprandial glycemic variability.Results: The results suggest carbohydrate intake, relates to greater postprandial glycemic variability. In contrast, the results reveal the inverse effect for protein, suggesting a tendency for young children who ate more protein at some meals to have lower postprandial glycemic variability, with the exception of lunch. There was no effect for fat on postprandial glycemic variability.Conclusion: These results suggest protein consumption may be an important consideration when aiming for optimal glycemic levels for some meals. When counseling parents of young children with T1D on common behaviors underlying glycemic excursion, pediatric psychologists may consider discussing the nutritional make up of children's meals. Further, the results demonstrate retaining longitudinal data at the person level, versus aggregating individual data for group level analyses, may offer new information regarding macronutrient intake and glycemic outcomes. [ABSTRACT FROM AUTHOR]

Background: During the recent‐onset period of type 1 diabetes (T1D), parents may be at increased risk for depression, stress, and hypoglycemia fear; however, current studies have not examined the parental psychological experience and anxiety from hypoglycemia fear (ie, hypoglycemia worry) over time. This study examined the trajectory of parental hypoglycemia worry (Hypoglycemia Fear Survey‐Worry [HFS‐Worry]) in families of children with recent‐onset T1D and the effects of baseline parental depression on parents' trajectory of HFS‐Worry. Methods: We enrolled 128 families of children ages 5‐ to 9‐years‐old with recent onset T1D in this study. At baseline, 125 parents completed measures of depression and HFS‐Worry, followed by 111 at 6‐month follow‐up, 113 at 12‐month follow‐up, and 107 at 18‐month follow‐up. We used multilevel modeling to examine the 18‐month trajectories of HFS‐Worry and to examine if parental depression modified these trajectories. Results: We found that parents HFS‐Worry scores increased over time for parents with and without elevated depressive symptoms. Parents' baseline report of depression appeared to modify their trajectory of HFS‐Worry over time such that parents with elevated depressive symptoms reported significantly higher levels of worry when compared to parents without depressive symptoms across the 18‐month study period (P <.05). Conclusions: Parents of children with recent‐onset T1D, who reported elevated depressive symptoms, reported higher HFS‐Worry across the study period. Our findings suggest clinics should consider screening for parent depression and hypoglycemia worry following a T1D diagnosis. Integrating psychological screening for parents could help clinics to provide relevant treatment resources and tailor diabetes education for parents. Trial Registration NCT03698708. [ABSTRACT FROM AUTHOR]

Objective: To monitor occurrence of stressful life events, assess correlations with family functioning and parental psychosocial measures, and examine the impact of stressful life events on diabetes management in the first year after diagnosis of type 1 diabetes (T1D) in children using a mixed methods design. Methods: In a prospective study of 5‐ to 9‐year‐olds with recent‐onset T1D (mean age 7.4 ± 1.3 years, T1D duration 4.7 ± 3.3 months), we monitored glycated hemoglobin A1c (HbA1c), income, job status, family health, and marital status at baseline and every 3 months up to 1 year. We measured coping, parental depression, and diabetes family conflict at baseline. Results: Of 128 families, 53.9% (n = 69) reported 1+ stressful event, with 25.8% reporting income change (n = 33) during this period, 23.4% additional family health changes (n = 30), 22.7% job changes (n = 29), 21.9% changes in child's school (n = 28), and 3.9% changes in marital status (n = 5). Baseline active avoidance coping, parental depression, and diabetes family conflict correlated with a higher number of stressful life events (r = 0.239, P <.01; r = 0.197, P <.05; r = 0.225, P <.01, respectively). There were also cross‐sectional associations between HbA1c and income decrease, school change, and job change at various time points in the study. Conclusions: Families can experience concurrent life stressors during the first year of T1D, which relate to coping, depression, and conflict. Consistent with existing literature, stressful life events relate to glycemic management. Future research should explore the individual's or parent's perception of stress and ways that diabetes centers can effectively assist families of youth with T1D and concurrent life stressors. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the efficacy of a new video‐based telehealth intervention to reduce hypoglycemia fear in parents of young children with type 1 diabetes. Methods: We randomized 42 parents to either immediate treatment (reducing emotional distress for childhood hypoglycemia in parents, REDCHiP; n = 22) or a waitlist control (WAITLIST; n = 21) condition. REDCHiP parents completed a 10‐session video‐based telehealth intervention, while WAITLIST parents continued in usual care. After 14‐weeks, WAITLIST parents completed the telehealth treatment. We examined for between group changes in parental hypoglycemia fear and parenting stress (n = 18 per condition), 3‐month maintenance of treatment effects for parents randomized to REDCHiP (n = 15), and pre‐post changes for the entire sample (n = 36). Results: Mostly mothers participated (97.6%). They reported a mean age of 35.2 ± 5.0 years at pre‐treatment. Children were 4.4 ± 1.4 years old and 59.5% boys. Between group comparisons showed a significant reduction in hypoglycemia fear (P =.04) and a trend toward reduction in parenting stress‐frequency (P =.092) for REDCHiP parents compared to WAITLIST parents. After the three‐month maintenance period, REDCHiP parents reported significant reductions in hypoglycemia fear, parenting stress‐frequency, and parenting stress‐difficulty (P's <.01) compared to pre‐treatment. When all parents received the telehealth treatment, we also observed significant reductions in hypoglycemia fear, parenting stress‐frequency, and parenting stress‐difficulty (P's <.001), and sensitivity analyses revealed a significant reduction in child glycated hemoglobin for children who entered the treatment above target (P <.05). Conclusion: Our new video‐based telehealth intervention appears to reduce hypoglycemia fear and parenting stress and may help parents of very young children with T1D to better achieve optimal child glycemic control when children are above target. [ABSTRACT FROM AUTHOR]

Objective: Youth with type 1 diabetes (T1D) endorse high rates of depressive symptoms, which can significantly impair self‐management, glycemic control, and quality of life. Current guidelines recommend annual depression screening for all adolescents with T1D, but few models exist to implement screening procedures across clinics in this population. The primary aim of this project was to increase depression screening from 0% to 80% in four clinics, and to describe the structured quality improvement process to reach this goal. Methods: All patients aged 12 to 21 years old with T1D at four participating clinics in a Midwestern hospital system were eligible to participate. Using a two‐stage process, patients were administered the Patient Health Questionnaire (PHQ‐2 plus PHQ‐9 if positive) annually. Rates of depression screening by clinic site, rates of positive depression screens, social worker documentation of follow‐up care, and associations with diabetes‐related health outcomes were analyzed. Results: Over 2 years, average depression screening rates increased from 0% to 75% across all clinics, and 89% of patients with a positive screen met with a social worker for a targeted mental health assessment. At initial screening, 7.6% of patients screened positive for at‐risk depressive symptoms on the PHQ‐2 and from that group, 6.7% additionally screened positive on the PHQ‐9. Conclusions: Annual depression screenings were feasibly implemented across four clinics and the use of real‐time data listening and automated processes facilitated successful implementation. Future directions include further automation, targeted training and billing mechanisms, dissemination to non‐metropolitan clinics, and further assessment of depression screening tools for adolescents with T1D. [ABSTRACT FROM AUTHOR]

Objective: To test whether the addition of an insulin pump or continuous glucose monitor (CGM) related to reduced glycated hemoglobin A1c (HbA1c) in large cohort of children, 5-9 years old, and within 1 year of their type 1 diabetes (T1D) diagnosis. Research Design and Methods: The study uses data from families of children with recent-onset T1D and who were between 5 and 9 years old. Study analyses used children's HbA1c values at baseline and at the 6-month follow-up. Parents reported on family demographics and children's T1D device use in their daily management (e.g., insulin pump or CGM). Children's mean T1D duration was 4.70 ± 3.28 months at baseline, so the 6-month assessment point was ∼12 months postdiagnosis. Results: One hundred-eleven families participated. At baseline, child mean age was 7.51 ± 1.37 years, and mean child HbA1c was 7.65% ± 1.40%. In addition, 17% of children used an insulin pump, and 17.1% of children used CGM. Six months later, 35.1% of children had started an insulin pump and 25.2% had started CGM. Repeated measures analyses of variance results showed a smaller overall HbA1c between baseline and 6 months for children using an insulin pump versus children not on a pump. For CGM, results showed that children starting a CGM during this window had a significantly lower HbA1c level than children who had not started on CGM. Conclusions: The study results suggest that early initiation of either an insulin pump or CGM in children newly diagnosed with T1D may help to improve child HbA1c levels within the first 12 months of diabetes. [ABSTRACT FROM AUTHOR]

Youth with type 1 diabetes mellitus (T1D) experience more sleep disturbances and shorter sleep durations compared to their healthy peers. Researchers have now uncovered the negative mental health and physical health outcomes associated with poor sleep in youth with T1D. The field of T1D sleep research currently operates under the broad notion that sleep behaviors impact treatment adherence, which ultimately lead to worse long‐term health outcomes. This model however does not explain how behavior influences T1D management and sleep outcomes on a day‐to‐day basis, leading to difficulties in providing tailored treatment recommendations. In this review, we present a theoretical framework that describes the recursive cycle between sleep behaviors, T1D outcomes, and symptoms of negative affect/stress over a 24‐hour period. This model is guided by the sleep literature, showing a clear relationship between poor sleep and negative affect, and the T1D literature demonstrating a link between poor sleep and disease management for youth with T1D. Further, emerging literature indicates a need for additional parent sleep assessment considering that T1D management and fear of hypoglycemia negatively impact parent sleep behaviors. Recommendations are provided to move the field toward effective intervention studies and new areas of research to evaluate and modify the proposed model. [ABSTRACT FROM AUTHOR]

Objective: To examine cross‐sectional and longitudinal associations among parenting styles (ie, authoritative, authoritarian, and permissive) and youth glycated hemoglobin (HbA1c) in a cohort of families of children with new‐onset type 1 diabetes (T1D). Methods: One‐hundred two parents completed a baseline measure of parenting style, and we collected child HbA1c values at baseline and at three‐ and six‐month follow‐ups. We examined correlations among use of different parenting strategies and child HbA1cs. We conducted multiple regressions to assess the impact of these strategies on child HbA1c at three‐month and six‐month follow‐ups, while controlling for baseline HbA1c, family income, and T1D duration. Results: Correlational analyses showed negative associations between authoritative strategies and child HbA1c at baseline, three‐month, and six‐month assessments and positive associations between authoritarian strategies and child HbA1c at three‐month and six‐month assessments. Regression analyses found use of authoritarian‐like strategies were the only parenting strategies associated with child HbA1c at three‐month and six‐month follow‐ups, while controlling for baseline HbA1c, family income, and T1D duration. Conclusion: Parents' use of authoritarian‐like strategies may negatively impact glycemic control over the course of six‐month in children with new‐onset T1D. [ABSTRACT FROM AUTHOR]

Adherence to treatment regimen is associated with improved glycemic control and is particularly problematic during adolescence for those with type 1 diabetes mellitus (T1DM). Both glycemic control and adherence may be negatively impacted by poor psychological outcomes in adolescence, such as depressive symptoms and low hopefulness. The purpose of this study was to examine associations between the mealtime insulin bolus score (BOLUS), a more robust proxy measure of adherence than frequency of blood glucose monitoring or self‐report, with depressive symptoms, hope, and hemoglobin A1c (HbA1c). Ninety adolescents completed measures of hope (Children's Hope Scale) and depressive symptoms (Center for Epidemiologic Studies—Depression Scale), as well as lab‐based measures of HbA1c and mealtime insulin bolus scores (BOLUS). Higher levels of hope were associated with lower levels of depressive symptoms, more frequent mealtime insulin boluses, and better glycemic control. Higher levels of BOLUS behavior were associated with lower depressive symptoms and better glycemic control. Both BOLUS behavior and hope independently and significantly impacted the relationship between depressive symptoms and HbA1c, suggesting a possible mediation. Since hope and BOLUS were each associated with the relationship between depressive symptoms and glycemic control, following confirmation of this relationship in a longitudinal study, clinics may consider measuring hope and BOLUS among youth with high depressive symptoms and further investigating BOLUS behavior and hope as potential intervention targets to improve glycemic control. [ABSTRACT FROM AUTHOR]

Objective: The Self-Efficacy for Diabetes Scale (SED) is a widely used measure of diabetes-specific self-efficacy with three subscales: diabetes-specific self-efficacy (SED-D), medical self-efficacy (SED-M), and general self-efficacy (SED-G). The present study examined the factor structure and construct validity of the SED in 116 youth, aged 10-16 years (13.60 ± 1.87), with type 1 diabetes mellitus.Methods: Confirmatory factor analysis (CFA) was used to examine the factor structure of the SED. Correlational and regression analyses examined relations between subscales and select outcomes.Results: CFA of the original three-factor structure provided a poor fit to the data. Factor models using rescaled items were tested. Results provided preliminary evidence for the SED-D as an independent one-factor model, and for a reduced one-factor model. Significant associations were found between the SED subscales, responsibility for diabetes management, and glycated hemoglobin.Conclusions: Results provide limited support for the SED-D as a reliable and valid measure of diabetes-specific self-efficacy. [ABSTRACT FROM AUTHOR]

Objective: We examined how parent and youth responsibility for type 1 diabetes (T1D) care is related to adherence and glycemic outcomes, namely, glycemic variability and risk of glycemic excursions.Methods: One hundred thirty-five parent-youth dyads (10-16 years old; diagnosed with T1D for at least 6 months) participated in this study. Percent responsibility of T1D care attributed to the youth, parent, or shared was measured using the Diabetes Family Responsibility Questionnaire. We collected youth's hemoglobin A1c (HbA1c) and glucometer downloads to examine relationships between responsibility and HbA1c, frequency of blood glucose monitoring (self-monitoring blood glucose, SMBG), risk of glycemic excursions, and actual glycemic variability using bivariate correlations and path analysis.Results: Participants reported shared responsibility for almost half of T1D self-care tasks. Bivariate correlations showed shared responsibility was associated with less variability, whereas parent responsibility was associated with greater glycemic variability and risk for glycemic excursions. Youth responsibility was associated with lower frequency of SMBG. The path analyses confirmed our correlational findings (ps<.05) and better characterized interactions with age for youth-reported responsibility.Conclusions: Our results support the hypothesis that shared T1D responsibility is associated with better diabetes outcomes in youth. [ABSTRACT FROM AUTHOR]

Objective To examine whether self-efficacy buffers the deleterious consequences of diabetes-specific family conflict on self-monitoring blood glucose (SMBG) and glycated hemoglobin (HbA1c) in youth with type 1 diabetes mellitus (T1DM). Methods A total of 129 youth with T1DM (aged 10-16 years) completed measures of diabetes-specific family conflict and self-efficacy for diabetes management, and their blood glucose meter data and HbA1c were extracted from the electronic medical record. We preformed moderation analyses to examine whether self-efficacy moderated the association that diabetes-specific family conflict had with SMBG and HbA1c. We used simple slopes analyses to probe significant interactions. Results Our results indicated that self-efficacy moderated the association that diabetes-specific family conflict had with SMBG and HbA1c. The pattern of these findings showed that high self-efficacy buffered the negative impact of diabetes conflict on HbA1c. However, benefits of high self-efficacy for more frequent SMBG was only apparent in the context of low diabetes-specific family conflict. Conclusions Study findings highlight the interactive relationship between diabetes-specific family conflict and self-efficacy in relation to SMBG and glycemic control. These findings suggest that family functioning and youth's self-efficacy are promising intervention targets for families having trouble with SMBG and HbA1c. [ABSTRACT FROM AUTHOR]

Background Adherence to the type 1 diabetes ( T1D) regimen, while predictive of glycemic control, decreases during adolescence. For adolescents, attaining adequate sleep is an additional challenge. This study evaluates the impact of sleep on adherence in teens with T1D. Subjects Forty-five adolescents aged 12-18 yr, with T1D for at least 6 months while on insulin pump therapy. Methods Adolescents logged their sleep on a written diary for 2 wk. Corresponding insulin pump/glucometer downloads as well as sleep habit questionnaires were also obtained. Results Data from 20 girls and 25 boys, with a mean age of 15 ± 1.6 yr and mean glycated hemoglobin of 8.7 ± 1.1% (72 mmol/mol), were analyzed. Overall, average sleep was 8.6 ± 0.9 h per night. Sleep durations were compared to the next day's frequency of self-monitored blood glucose ( SMBG) and total daily insulin bolus frequency. Associations were found between sleep duration and youths' SMBG and insulin bolus frequencies (p < 0.03 and p < 0.001, respectively). Specifically, a 15- and 20-min increase in sleep was associated with one additional SMBG check and one additional insulin bolus, respectively. Conclusion Analyses suggest an associated increase in T1D self-management behaviors in youths with increased sleep duration. These findings highlight the importance of assessing sleep in clinical practice, and encourage further research to examine effective strategies to address sleep hygiene as part of routine diabetes management. [ABSTRACT FROM AUTHOR]

Objective: To examine the factor structure and construct validity of the Maternal Self-Efficacy for Diabetes Management Scale (MSED) in 135 youth ( Mage  = 13.50  ±  1.83 years), with type 1 diabetes mellitus.Method: The study used exploratory factor analysis (EFA) to examine the factor structure and correlations to examine relationships among MSED factors and select parent and child diabetes-related health behaviors and outcomes.Results: EFA identified an 11-item three-factor solution (χ 2 (25, n  = 133)  = 40.22, p  < .03, RMSEA = 0.07, CFI = 0.98, TLI = 0.97), with factors corresponding to parents' perceived ability to manage their child's diabetes (MSED-M), problem-solve issues surrounding glycemic control (MSED-P), and teach their child about diabetes care (MSED-T). Correlational analyses revealed significant associations between the MSED-M and MSED-T and parent-reported optimism and youth's diabetes-specific self-efficacy. The MSED-T was also associated with glycated hemoglobin and self-monitoring blood glucose.Conclusions: Results provide preliminary evidence for the reliability and validity of a three-factor solution of the MSED. [ABSTRACT FROM AUTHOR]

Background: We update the psychometric properties of the Hypoglycemia Fear Survey-Parents of Young Children (HFS-PYC), a 26-item measure of parents' hypoglycemia fear for young children using an insulin pump.Methods: We combined three similar datasets for the analyses. The data analyzed included parents' responses to the HFS-PYC and a demographic form. For a subset of children (n = 91), we also analyzed self-monitoring of blood glucose data. We used confirmatory factor analysis (CFA) to confirm the measure's original factor structure. Additional analyses examined reliability and validity of a revised HFS-PYC for parents of young children using pumps.Results: We analyzed data from 116 parents (93% mothers). Mean child age and HbA1c were 5.2 ± 1.3 years and 8.2% ± 1.1%, respectively. CFA identified a 22-item two-factor solution (χ2 (208, n = 116) = 368.688, P < 0.001, root mean square error of approximation = 0.08, comparative fit index = 0.94, and Tucker-Lewis index = 0.93) with factors corresponding to the original subscales: worry and behavior. The revised subscales demonstrated at least adequate internal consistency (Cronbach's alpha >0.65). Correlations revealed significant negative associations between current HFS-PYC worry scores and children's mean daily blood glucose and percent of very high glucose levels per day, suggesting less fear among parents of young children with elevated glycemic levels. In addition, there was a positive association with the percent of glucose levels in target, suggesting greater hypoglycemia fear among parents of children who have better control.Conclusions: Results provide preliminary evidence for the reliability and validity of a reduced 22-item HFS-PYC for parents of children using insulin pumps. [ABSTRACT FROM AUTHOR]

Objective To test the hypothesis that HbA1c variability, as measured by standard deviation ( SD), is associated with increased risk for incident microalbuminuria and persistent microalbuminuria in pediatric type 1 diabetes ( T1D). Methods A retrospective analysis using data from electronic health records was performed on 1195 patients from a pediatric diabetes clinic network in the Midwest USA from 1993 to 2009 with ≥1 yr of T1D, ≥4 total HbA1c values, ≥2 HbA1c values/yr, ≥1 urine microalbumin. Microalbuminuria, the main outcome was defined as albumin excretion rate ≥20 mcg/min or 2 of 3 consecutive urine microalbumin/creatinine ≥30 mg/gm. Patients who had persistently high microalbumin or who were treated with an angiotensin-converting-enzyme inhibitor within 1 yr were considered to have persistent microalbuminuria. Sex, race, age, diagnosis age, and duration were covariates. Results Median numbers of per-patient HbA1c and microalbumin results were 14 and 3, respectively. Median intrapersonal mean HbA1c and SD were 8.62% (70.72 mol/mol) and 1.47% (16.07 mmol/mol), respectively. The median interquartile range ( IQR) of diagnosis age was 9.4 yr (6.26-12.02) and diabetes duration was 4.97 yr (2.93-7.64). A total of 172 patients (14.4%) developed microalbuminuria; 55 (4.6%) had persistent microalbuminuria. Patients with higher SD of HbA1c had shorter time to microalbuminuria. In time-dependent Cox Proportional Hazard models, updated SD of HbA1c was significantly associated with microalbuminuria [univariate hazard ratio ( HR) 1.48 (1.25-1.76); multivariable HR 1.28 (1.04-1.58)], whereas updated mean HbA1c was not [univariate HR 1.08 (0.97-1.22); multivariable HR 1.05 (0.92-1.2)]. Patients with persistent microalbuminuria had similar HRs. Conclusions HbA1c variability is independently associated with development of microalbuminuria in children with T1D, highlighting the importance of maintaining stable glycemic control in pediatric patients. [ABSTRACT FROM AUTHOR]

Objectives: To test the longitudinal associations between hope and optimism and health outcomes (i.e., HbA1c and self-monitored blood glucose [SMBG]) among youths with Type 1 diabetes mellitus (T1DM) over a 6-month period.Methods: A total of 110 participants (aged 10-16 years) completed study measures at Time 1, and 81 completed measures at Time 2. Analyses examined hope and optimism as predictors of change in health outcomes, and examined SMBG as a mediator of the relationship between hope and optimism, and HbA1c.Results: Change in hope, but not optimism, was associated with change in SMBG and HbA1c. Change in SMBG mediated the relationship between change in hope and HbA1c, but not between optimism and HbA1c.Conclusions: It may be beneficial to assess hope in pediatric T1DM patients to identify youths who may be at risk for poor diabetes management, and to test the benefit of hope-based intervention efforts in clinical studies. [ABSTRACT FROM AUTHOR]

Background Many young children with type 1 diabetes mellitus (T1DM) do not consume a healthful diet; exactly why this occurs despite T1DM education remains poorly understood. Objective This study describes parents’ perceptions of healthful eating for T1DM in young children and identifies factors related to parents’ dietary management. Design A cross-sectional, mixed-methods study was performed. Parents completed a questionnaire, 3-day weighed diet record, and a semi-structured interview regarding their perceptions of healthful eating for T1DM and their dietary management practices. Participants/setting Twenty-three families, recruited from a pediatric diabetes clinic in the midwestern United States between February 2012 and April 2013, participated. Eligible families had a child with T1DM who was 1 to 6 years old, at least 6 months from diagnosis, and was following an intensive insulin regimen. Statistical analyses performed Mean scores and percentages were calculated from the diet diaries and parent questionnaires, and parents’ interviews were coded to identify common themes. Results Results showed that while parents may believe they know what constitutes a healthful diet for T1DM, they do not always feed their child a healthful diet. Parent-identified barriers to healthful eating included limited time to prepare homemade meals, perceived higher costs of healthier foods, the influence of peers on children’s food preferences, and picky eating. Parents also discussed a desire not to limit their child’s diet or make their child “feel different,” which many parents said often led them to give into their child’s requests for less healthful food options. Conclusions Parents of young children with T1DM identified several barriers to healthful eating that are common for all parents, such as time constraints, expense, and child food preferences. However, unique themes emerged, including parents’ desire not to limit their child’s diet or make their child “feel different.” Nutrition components of T1DM education should include psychological and behavioral strategies to help parents manage these unique concerns. [ABSTRACT FROM AUTHOR]

Most adolescents with type 1 diabetes (T1D) do not achieve a glycated hemoglobin (HbA1c) <7.0%, which is the current clinical target. mHealth can offer a scalable and age-appropriate delivery method for behavioral interventions to lower adolescents' HbA1c levels, while applying established behavior change and behavioral economics theories can enhance scientific rigor. We aim to conduct a pilot randomized clinical trial of a novel mHealth intervention called Coin2Dose (C ash- O nly IN centives To promote insulin DOSE engagement), in a sample of youth with T1D: 1) to obtain measures of feasibility and acceptability and 2) to examine preliminary efficacy versus a standard care control group based on differences in youth's daily BOLUS scores, HbA1c levels, and Time in Range (TIR) at post-intervention and 3-month post-intervention follow-up. This pilot RCT is already registered in http://ClinicalTrials.gov (NCT#05280184). Our pilot will recruit youth with T1D 11–17 years-old who use an insulin pump or Bluetooth connected insulin pen and have an average daily BOLUS score ≤2.5. Youth randomized to Coin2Dose will receive the intervention for 12 weeks followed by a 12-week maintenance period. The pilot is scheduled to start July 2022 and to conclude in 2025. At the conclusion of the pilot, we will have information about the feasibility and acceptability of two different behavioral economic incentive structures for improving BOLUS scores. The work is anticipated to progress to final efficacy trial. We will disseminate study results through presentations at local, national, and international conferences and through peer-reviewed diabetes and psychology journals. [ABSTRACT FROM AUTHOR]

Objective: The Average Daily Risk Range (ADRR) is a measure of glycemic variability (GV) developed for adults with diabetes. Although the ADRR is increasingly being reported in pediatric diabetes research and may also be used in clinical management, it has never been examined for its sensitivity to predicting hyper- and hypoglycemia in youths or compared for its predictive ability with other measures of GV in youths. Thus, we present predictive validity data for the ADRR in youths with type 1 diabetes.Materials and Methods: Glucometer data for 436 youths (mean age, 11.8±3.8 years) were collected from a clinical database. Using these data, we computed the ADRR, SD of blood glucose, coefficient of variation of blood glucose, Low Blood Glucose Index, High Blood Glucose Index, the percentage of glucose values ≥70 and ≤180 mg/dL, the percentage of high glucose values >180 mg/dL and >400 mg/dL, and the percentage of low glucose values <70 mg/dL and <40 mg/dL in Month 1. We then compared these with episodes of hypo- and hyperglycemia in Month 2.Results: The ADRR showed good concurrent validity with other measures of GV in youths experiencing hyperglycemic events but limited predictive validity in general and specifically with future hypoglycemic events. The percentages of current hyper- and hypoglycemic episodes appeared to be stronger predictors of future hyper- and hypoglycemic episodes, respectively.Conclusions: In a large pediatric sample, the ADRR was not the strongest predictor of future glycemic excursion. The percentages of current hyper- and hypoglycemic episodes appear to be stronger predictors. [ABSTRACT FROM AUTHOR]

Objective: This study used a market-basket approach to examine the availability and cost of a standard food shopping list (R-TFP) vs a healthier food shopping list (H-TFP) in the grocery stores used by a sample of 23 families of young children with type 1 diabetes mellitus (T1DM). Methods: The researchers used frequency counts to measure availability. The average cost of the R-TFP and H-TFP was compared using paired t test. Results: Small or independent markets had the highest percentage of missing foods (14%), followed by chain supermarkets (3%) and big box stores (2%). There was a significant difference in average cost for the R-TFP vs the H-TFP ($324.71 and $380.07, respectively; P < .001). Conclusions and Implications: Families may encounter problems finding healthier foods and/or incur greater costs for healthier foods. Nutrition education programs for T1DM need to teach problem solving to help families overcome these barriers. [ABSTRACT FROM AUTHOR]

School-age children with type 1 diabetes (T1D) need help from parents or other adult caregivers (caregivers) to effectively manage T1D, resulting in greater vulnerability to Diabetes Distress (DD) for both children and caregivers. Unfortunately, there are no scalable screen-to-treat programs for clinics to adopt to identify and treat DD in school-age families. We aim to design a scalable, clinic-based screen-to-treat program for DD in families of school-age children and to test whether our new program to reduce caregiver and child DD also reduces child glycemic levels. Our Remedy to Diabetes Distress (R2D2) program will target caregivers and children with T1D who are between 8 and 12 years old. It will merge routine and automated surveillance of DD in the clinical setting with at home digital delivery of a theory-based behavioral and psychological treatment of DD. We will use the ORBIT Model for Behavioral Intervention development to guide four small and cost-effective formative studies to develop our R2D2 program and assess initial treatment effects. In tandem, we will implement clinic-based DD screening in school-age families and assess feasibility and acceptability of our screening platform as a Quality Improvement activity. The study started in September 2020 and is scheduled to conclude in 2025. The study will use a single Institutional Review Board (IRB) with Children's Mercy-Kansas City operating as the IRB of record. We will disseminate study results through presentations at scientific conferences and through peer-reviewed journals read by the psychology and diabetes care communities. [ABSTRACT FROM AUTHOR]

Objective: To present results for a parent-based educational intervention targeting mealtime behaviors plus nutrition among families of young children (mean age, 5.0 ± 1.2 years) with type 1 diabetes mellitus (T1DM). Methods: The researchers recruited 9 caregivers who participated in the 6-session intervention and completed baseline and posttreatment assessments, which included dietary intake, acceptability of diet changes, mealtime behavior, and mean blood glucose values. Results: Children’s mean daily blood glucose levels decreased from 185 ± 46 mg/dL to 159 ± 40 mg/dL (P < .001). There were also decreases in problematic parent and child mealtime behaviors. There was no change in children’s dietary intake indicators that could be detected. Conclusions and Implications: It appears promising that this targeted behavior plus nutrition intervention can improve glycemic control and behavior for young children with type 1 diabetes mellitus. Larger, randomized controlled trials will clarify significant results, limitations, and sustainability. Techniques within the program may have application to current practice. [ABSTRACT FROM AUTHOR]

Background: Within pediatric diabetes management, two electronic measures of adherence exist: frequency of daily blood glucose monitoring (BGM) and the BOLUS score, a measure of frequency of mealtime insulin bolusing. Past research has demonstrated that the BOLUS score is superior to daily BGM in predicting youths' glycated hemoglobin (HbA1c) in a cross-sectional study. We present data comparing the two adherence measures in predicting HbA1c using a prospective, longitudinal design. Subjects and Methods: Blood glucose meter data and insulin pump records were collected from a clinical database of 175 youths with type 1 diabetes (mean age, 11.7±3.6 years at baseline). Youths' HbA1c levels occurring at the download time and at 3, 6, 9, and 12 months post-downloads were also collected. We calculated youths' mean BGM and BOLUS score using a standardized protocol. Results: Intraclass correlations (ICCs) revealed significant absolute equivalence between youths' predicted HbA1c values using BOLUS and BGM scores and future actual HbA1c values up to 12 months post-download. However, the ICCs of BOLUS scores with future HbA1c values were consistently higher than those of the BGM scores. Also, the predictions of the BOLUS scores were significantly more accurate ( P≤0.002) than those of the BGM scores based on the root mean squared error of predictions. Conclusions: In a prospective, longitudinal design, youths' BOLUS scores were superior to youths' daily BGM in predicting future values of HbA1c. Calculating a BOLUS score versus BGM can help researchers and clinicians achieve a better prediction of youths' HbA1c. [ABSTRACT FROM AUTHOR]

Abstract: This study examined mealtime behaviors in families of young children with type 1 diabetes (T1DM) on intensive insulin therapy. Behaviors were compared to published data for children on conventional therapy and examined for correlations with glycemic control. Thirty-nine families participated and had at least three home meals videotaped while children wore a continuous glucose monitor. Videotaped meals were coded for parent, child, and child eating behaviors using a valid coding system. A group difference was found for child request for food only. There were also associations found between children's glycemic control and child play and away. However, no associations were found between parent and child behaviors within meals and children's corresponding post-prandial glycemic control. Results reinforce existing research indicating that mealtime behavior problems exist for families of young children even in the context of intensive therapy and that some child behaviors may relate to glycemic control. [Copyright &y& Elsevier]