A mobile app identifies momentary psychosocial and contextual factors related to mealtime self-management in adolescents with type 1 diabetes
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Shelagh A Mulvaney | Sarah E Vaala | Rachel B Carroll | Laura K Williams | Cindy K Lybarger | Douglas C Schmidt | Mary S Dietrich | Lori M Laffel | Korey K Hood | Sarah E. Vaala | Shelagh A. Mulvaney | M. Dietrich | L. Laffel | K. Hood | S. Mulvaney | Douglas C. Schmidt | C. Lybarger | Rachel B. Carroll | Laura Williams
[1] Chengdong Li,et al. 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 , 2018, JMIR mHealth and uHealth.
[2] Kevin B. Johnson,et al. Mobile Momentary Assessment and Biobehavioral Feedback for Adolescents with Type 1 Diabetes: Feasibility and Engagement Patterns. , 2018, Diabetes technology & therapeutics.
[3] S. Shiffman. Conceptualizing analyses of ecological momentary assessment data. , 2014, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.
[4] Kristoffer S Berlin,et al. Attributions of adolescents with type 1 diabetes related to performing diabetes care around friends and peers: the moderating role of friend support. , 2006, Journal of pediatric psychology.
[5] S. Jaser,et al. Coping and resilience in adolescents with type 1 diabetes. , 2011, Child: care, health and development.
[6] Raeanne C. Moore,et al. Ecological momentary assessment versus standard assessment instruments for measuring mindfulness, depressed mood, and anxiety among older adults. , 2016, Journal of psychiatric research.
[7] James D. Lane,et al. Time of Day When Type 1 Diabetes Patients With Eating Disorder Symptoms Most Commonly Restrict Insulin , 2017, Psychosomatic medicine.
[8] Elizabeth M. Heitkemper,et al. Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data , 2017, J. Biomed. Informatics.
[9] Carlo L Acerini,et al. Psychological care of children and adolescents with type 1 diabetes , 2014, Pediatric diabetes.
[10] Ying Kuen Cheung,et al. Envisioning a future for precision health psychology: innovative applied statistical approaches to N-of-1 studies , 2017, Health psychology review.
[11] Diana Naranjo,et al. Diabetes Technology , 2016, Journal of diabetes science and technology.
[12] George Hripcsak,et al. High-fidelity phenotyping: richness and freedom from bias , 2017, J. Am. Medical Informatics Assoc..
[13] Steven Trawley,et al. Strengths, Risk Factors, and Resilient Outcomes in Adolescents With Type 1 Diabetes: Results From Diabetes MILES Youth–Australia , 2017, Diabetes Care.
[14] Korey K Hood,et al. ISPAD Clinical Practice Consensus Guidelines 2018: Diabetes technologies , 2018, Pediatric diabetes.
[15] Ambuj Tewari,et al. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support , 2017, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.
[16] S. Powers,et al. Observational Assessment of Family Functioning in Families with Children Who Have Type 1 Diabetes Mellitus , 2008, Journal of developmental and behavioral pediatrics : JDBP.
[17] A MulvaneyShelagh,et al. Mobile Momentary Assessment and Biobehavioral Feedback for Adolescents with Type 1 Diabetes: Feasibility and Engagement Patterns. , 2018 .
[18] M. McNarry,et al. Feasibility and Effectiveness of Using Wearable Activity Trackers in Youth: A Systematic Review , 2016, JMIR mHealth and uHealth.
[19] Douglas C. Schmidt,et al. Towards Precision Behavioral Medicine with IoT: Iterative Design and Optimization of a Self-Management Tool for Type 1 Diabetes , 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).
[20] S. Delurgio,et al. Frequency of mealtime insulin bolus predicts glycated hemoglobin in youths with type 1 diabetes. , 2014, Diabetes technology & therapeutics.
[21] Carlo L Acerini,et al. ISPAD Clinical Practice Consensus Guidelines 2018: Psychological care of children and adolescents with type 1 diabetes , 2018, Pediatric diabetes.
[22] Philip Moons,et al. The Role of Peers for Diabetes Management in Adolescents and Emerging Adults With Type 1 Diabetes: A Longitudinal Study , 2017, Diabetes Care.
[23] J. Kichler,et al. Psychosocial Patient-Reported Outcomes in Pediatric and Adolescent Diabetes: a Review and Case Example , 2017, Current Diabetes Reports.
[24] Kerem Shuval,et al. Ecological Momentary Assessment of Physical Activity: Validation Study , 2017, Journal of medical Internet research.
[25] Kevin B. Johnson,et al. Development and initial validation of the barriers to diabetes adherence measure for adolescents. , 2011, Diabetes research and clinical practice.
[26] J. Rausch,et al. Predictors of deteriorations in diabetes management and control in adolescents with type 1 diabetes. , 2013, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.
[27] James D. Lane,et al. Momentary Predictors of Insulin Restriction Among Adults With Type 1 Diabetes and Eating Disorder Symptomatology , 2015, Diabetes Care.