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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., (© Society of Behavioral Medicine 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Greater knowledge about nutrition and carbohydrate counting are associated with improved glycemic control and quality of life in youth with type 1 diabetes (T1D). However, limited assessments of nutrition and carbohydrate knowledge have been developed, and existing measures can be time-consuming, overly broad, or not conducive to routine clinical use. To fill this gap, we developed and examined the feasibility of administering the electronic Nutrition and Carbohydrate Counting Quiz (eNCQ)., Method: Ninety-two caregivers and 70 youth with T1D (mean age 12.5 years; mean time since diagnosis 5 years; English speaking) completed the 19-item eNCQ via tablet during a routine clinical visit. Completion time and item completion rates were used to assess feasibility. Relationships between eNCQ scores and patient demographics, diabetes management, and health outcomes were examined., Results: Participants took 10 minutes, on average, to complete the eNCQ. Total and Carbohydrate subscale scores (youth report) were negatively correlated with youth hemoglobin A1c (total r = -.38, carbohydrate r = -.38, Ps < .05), indicating that greater nutrition knowledge related to better glycemic control. Nutrition knowledge scores were generally high, but knowledge was negatively related to time since diabetes diagnosis ( r = -.276, P < .05)., Conclusions: Findings support feasibility of the eNCQ to assess nutrition knowledge in routine clinical care. Following additional acceptability and validity testing, the eNCQ may identify families in need of further nutrition education. Nutrition assessment is particularly indicated for youth over one year since T1D diagnosis, as these families displayed lower nutrition knowledge and may need continuing education to maintain diabetes-specific nutrition knowledge over time.