Literature DB >> 31529065

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

Shelagh A Mulvaney1,2,3, Sarah E Vaala1, Rachel B Carroll1, Laura K Williams1, Cindy K Lybarger3, Douglas C Schmidt4, Mary S Dietrich1,5, Lori M Laffel6, Korey K Hood7.   

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.
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  context; diabetes; ecological momentary assessment; pediatric; precision medicine; self-management

Mesh:

Substances:

Year:  2019        PMID: 31529065      PMCID: PMC6857499          DOI: 10.1093/jamia/ocz147

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  24 in total

1.  Attributions of adolescents with type 1 diabetes related to performing diabetes care around friends and peers: the moderating role of friend support.

Authors:  Anthony A Hains; Kristoffer S Berlin; W Hobart Davies; Melissa K Smothers; Amy F Sato; Ramin Alemzadeh
Journal:  J Pediatr Psychol       Date:  2006-11-07

2.  Mobile Momentary Assessment and Biobehavioral Feedback for Adolescents with Type 1 Diabetes: Feasibility and Engagement Patterns.

Authors:  Shelagh A Mulvaney; Sarah Vaala; Korey K Hood; Cindy Lybarger; Rachel Carroll; Laura Williams; Douglas C Schmidt; Kevin Johnson; Mary S Dietrich; Lori Laffel
Journal:  Diabetes Technol Ther       Date:  2018-06-08       Impact factor: 6.118

3.  ISPAD Clinical Practice Consensus Guidelines 2018: Diabetes technologies.

Authors:  Jennifer L Sherr; Martin Tauschmann; Tadej Battelino; Martin de Bock; Gregory Forlenza; Rossana Roman; Korey K Hood; David M Maahs
Journal:  Pediatr Diabetes       Date:  2018-10       Impact factor: 4.866

4.  Development and initial validation of the barriers to diabetes adherence measure for adolescents.

Authors:  Shelagh A Mulvaney; Korey K Hood; David G Schlundt; Chandra Y Osborn; Kevin B Johnson; Russell L Rothman; Kenneth A Wallston
Journal:  Diabetes Res Clin Pract       Date:  2011-07-07       Impact factor: 5.602

5.  The Role of Peers for Diabetes Management in Adolescents and Emerging Adults With Type 1 Diabetes: A Longitudinal Study.

Authors:  Koen Raymaekers; Leen Oris; Sofie Prikken; Philip Moons; Eva Goossens; Ilse Weets; Koen Luyckx
Journal:  Diabetes Care       Date:  2017-12       Impact factor: 19.112

Review 6.  Diabetes Technology: Uptake, Outcomes, Barriers, and the Intersection With Distress.

Authors:  Diana Naranjo; Molly L Tanenbaum; Esti Iturralde; Korey K Hood
Journal:  J Diabetes Sci Technol       Date:  2016-06-28

7.  Predictors of deteriorations in diabetes management and control in adolescents with type 1 diabetes.

Authors:  Marisa E Hilliard; Yelena P Wu; Joseph Rausch; Lawrence M Dolan; Korey K Hood
Journal:  J Adolesc Health       Date:  2012-07-15       Impact factor: 5.012

8.  Strengths, Risk Factors, and Resilient Outcomes in Adolescents With Type 1 Diabetes: Results From Diabetes MILES Youth-Australia.

Authors:  Marisa E Hilliard; Virginia Hagger; Christel Hendrieckx; Barbara J Anderson; Steven Trawley; Michelle M Jack; Frans Pouwer; Timothy Skinner; Jane Speight
Journal:  Diabetes Care       Date:  2017-04-26       Impact factor: 19.112

9.  Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support.

Authors:  Inbal Nahum-Shani; Shawna N Smith; Bonnie J Spring; Linda M Collins; Katie Witkiewitz; Ambuj Tewari; Susan A Murphy
Journal:  Ann Behav Med       Date:  2018-05-18

10.  Diabetes Educators' Insights Regarding Connecting Mobile Phone- and Wearable Tracker-Collected Self-Monitoring Information to a Nationally-Used Electronic Health Record System for Diabetes Education: Descriptive Qualitative Study.

Authors:  Jing Wang; Chin-Fun Chu; Chengdong Li; Laura Hayes; Linda Siminerio
Journal:  JMIR Mhealth Uhealth       Date:  2018-07-26       Impact factor: 4.773

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  3 in total

1.  Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies.

Authors:  Mary Katherine Ray; Alana McMichael; Maria Rivera-Santana; Jacob Noel; Tamara Hershey
Journal:  JMIR Diabetes       Date:  2021-06-03

2.  Relationship Between Diabetes, Stress, and Self-Management to Inform Chronic Disease Product Development: Retrospective Cross-Sectional Study.

Authors:  Jessica S Yu; Tong Xu; Roberta A James; Wei Lu; Julia E Hoffman
Journal:  JMIR Diabetes       Date:  2020-12-23

3.  Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study.

Authors:  Peng Zhang; Christopher Fonnesbeck; Douglas C Schmidt; Jules White; Samantha Kleinberg; Shelagh A Mulvaney
Journal:  JMIR Mhealth Uhealth       Date:  2022-03-03       Impact factor: 4.947

  3 in total

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