A mobile app identifies momentary psychosocial and contextual factors related to mealtime self-management in adolescents with type 1 diabetes

Author:

Mulvaney Shelagh A123,Vaala Sarah E1,Carroll Rachel B1,Williams Laura K1,Lybarger Cindy K3,Schmidt Douglas C4,Dietrich Mary S15,Laffel Lori M6,Hood Korey K7

Affiliation:

1. School of Nursing, Vanderbilt University, Nashville, Tennessee, USA

2. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA

3. Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA

4. Electrical Engineering and Computer Science Department, School of Engineering, Vanderbilt University, Nashville, Tennessee, USA

5. Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA

6. Joslin Diabetes Center, Harvard University, Boston, Massachusetts, USA

7. Department of Pediatrics, Stanford University Medical Center, Palo Alto, California, USA

Abstract

Abstract 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. Meals, mealtime insulin, self-monitored blood glucose, and psychosocial and contextual data were obtained for 30 days. Using 1472 assessments, mixed-effects between-subjects analyses showed that social context, location, and mealtime were associated with missed self-monitored blood glucose. Stress, energy, mood, and fatigue were associated with missed insulin. Within-subjects analyses indicated that all factors were associated with both self-management tasks. Intraclass correlations showed within-subjects accounted for the majority of variance. The ecological momentary assessment method provided specific targets for improving self-management problem solving, phenotyping, or integration within just-in-time adaptive interventions.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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