Effective diabetes problem solving requires identification of risk factors for inadequate mealtime self-management. Ecological momentary assessment was used to enhance identification of factors hypothesized to impact self-management. Adolescents with type 1 diabetes participated in a feasibility trial for a mobile app called MyDay.
View Article and Find Full Text PDFPurpose: The purpose of this study is to identify barriers, facilitators, and consequences of obtaining sufficient sleep in adolescents with type 1 diabetes.
Methods: Semistructured interviews were conducted with 25 adolescents (52% female, mean age = 15.6 years) and 25 caregivers.
Background: Integration of momentary contextual and psychosocial factors within self-management feedback may provide more specific, engaging, and personalized targets for problem solving.
Methods: Forty-four youth ages 13-19 with type 1 diabetes (T1D) were provided a Bluetooth meter and completed the 30-day protocol. Participants were randomized to "app + meter" or "meter-only" groups.
Background: For individuals with Type 1 diabetes (T1D), following a complicated daily medical regimen is critical to maintaining optimal health. Adolescents in particular struggle with regimen adherence. Commonly available technologies (eg, diabetes websites, apps) can provide diabetes-related support, yet little is known about how many adolescents with T1D use them, why they are used, or relationships between use and self-management.
View Article and Find Full Text PDFBackground: This study examines technology use for problem solving in diabetes and its relationship to hemoglobin A1C (A1C).
Subjects And Methods: A sample of 112 adolescents with type 1 diabetes completed measures assessing use of technologies for diabetes problem solving, including mobile applications, social technologies, and glucose software. Hierarchical regression was performed to identify the contribution of a new nine-item Technology Use for Problem Solving in Type 1 Diabetes (TUPS) scale to A1C, considering known clinical contributors to A1C.
Objective: Problem solving is a critical diabetes self-management skill. Because of a lack of clinically feasible measures, our aim was to develop and validate a self-report self-management problem solving questionnaire for adolescents with type 1 diabetes (T1D).
Methods: A multidisciplinary team of diabetes experts generated questionnaire items that addressed diabetes self-management problem solving.
Objective: Describe intervention processes associated with an Internet self-management problem solving program for adolescents with type 1 diabetes, and relate participant characteristics to program use.
Methods: Forty-one adolescents with type 1 diabetes, aged 13-17, participated in an Internet intervention.
Results: Participants reported psychosocial self-management barriers related to social issues (45%), time pressures (22%), and emotions (25%).
OBJECTIVE To report results from YourWay, an Internet-based self-management intervention for adolescents with type 1 diabetes. RESEARCH DESIGN AND METHODS A total of 72 adolescents with type 1 diabetes, ages 13-17 years, were randomized to a usual-care-plus-Internet support or a usual-care group. The intervention was designed to enhance problem-solving barriers to self-management.
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