Literature DB >> 29727245

Baseline Psychosocial Characteristics Predict Frequency of Continuous Glucose Monitoring in Youth with Type 1 Diabetes.

Dayna E McGill1, Lisa K Volkening1, Deborah A Butler1, Kara R Harrington1, Michelle L Katz1, Lori M Laffel1.   

Abstract

BACKGROUND: Consistent use of continuous glucose monitoring (CGM) has been associated with improved glycemic control in youth with type 1 diabetes (T1D). There are many barriers to device uptake and continued use. There is a need to understand patient-specific characteristics when considering CGM. We evaluated patterns of CGM use and associations between baseline psychosocial measures and frequency of CGM use over 1 year.
METHODS: Youth with T1D (n = 120), ages 8-18 years, completed questionnaires at CGM initiation and after 6 and 12 months assessing depressive symptoms, diabetes burden, and diabetes-specific and generic quality of life (QOL).
RESULTS: Youth (51% male and 95% white) had mean age 12.7 ± 2.7 years, diabetes duration 6.1 ± 3.6 years, and glycated hemoglobin (HbA1c) 8.0 ± 0.8%. Over 1 year, 35% of youth used CGM 6 to 7 days per week, 45% used CGM 3-5 days per week, and 20% used CGM only 0-2 days per week. Youth who used CGM 3-7 days per week over 12 months had lower HbA1c at months 9 and 12 than youth who used CGM 0-2 days per week (9 months: 7.9 ± 0.9% vs. 8.5 ± 1.1%, P = 0.006 and 12 months: 8.0 ± 0.9% vs. 8.5 ± 1.1%, P = 0.02). Those using CGM 0-2 days per week had greater endorsement of depressive symptoms and diabetes burden and reported lower QOL at baseline compared with those using CGM 3-7 days per week.
CONCLUSIONS: CGM use for 3 or more days per week over 12 months had a protective effect on HbA1c. Providers should consider addressing psychosocial parameters when initiating CGM to maximize uptake and promote continued use in youth with T1D.

Entities:  

Keywords:  Continuous glucose monitoring; Depressive symptoms; Diabetes burden; Quality of life; Technology; Youth

Mesh:

Substances:

Year:  2018        PMID: 29727245      PMCID: PMC6014048          DOI: 10.1089/dia.2018.0037

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  23 in total

1.  Use of continuous glucose monitoring in children and adolescents (*).

Authors:  Moshe Phillip; Thomas Danne; Shlomit Shalitin; Bruce Buckingham; Lori Laffel; William Tamborlane; Tadej Battelino
Journal:  Pediatr Diabetes       Date:  2012-01-29       Impact factor: 4.866

2.  Improved glycemic control in poorly controlled patients with type 1 diabetes using real-time continuous glucose monitoring.

Authors:  Dorothee Deiss; Jan Bolinder; Jean-Pierre Riveline; Tadej Battelino; Emanuele Bosi; Nadia Tubiana-Rufi; David Kerr; Moshe Phillip
Journal:  Diabetes Care       Date:  2006-12       Impact factor: 19.112

3.  Current state of type 1 diabetes treatment in the U.S.: updated data from the T1D Exchange clinic registry.

Authors:  Kellee M Miller; Nicole C Foster; Roy W Beck; Richard M Bergenstal; Stephanie N DuBose; Linda A DiMeglio; David M Maahs; William V Tamborlane
Journal:  Diabetes Care       Date:  2015-06       Impact factor: 19.112

Review 4.  The confusing tale of depression and distress in patients with diabetes: a call for greater clarity and precision.

Authors:  L Fisher; J S Gonzalez; W H Polonsky
Journal:  Diabet Med       Date:  2014-07       Impact factor: 4.359

5.  Effect of Continuous Glucose Monitoring on Glycemic Control in Adults With Type 1 Diabetes Using Insulin Injections: The DIAMOND Randomized Clinical Trial.

Authors:  Roy W Beck; Tonya Riddlesworth; Katrina Ruedy; Andrew Ahmann; Richard Bergenstal; Stacie Haller; Craig Kollman; Davida Kruger; Janet B McGill; William Polonsky; Elena Toschi; Howard Wolpert; David Price
Journal:  JAMA       Date:  2017-01-24       Impact factor: 56.272

6.  Continuous Glucose Monitoring (CGM) Adherence in Youth With Type 1 Diabetes: Associations With Biomedical and Psychosocial Variables.

Authors:  Elisa Giani; Rebecca Snelgrove; Lisa K Volkening; Lori M Laffel
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

7.  Youth-Perceived Burden of Type 1 Diabetes: Problem Areas in Diabetes Survey-Pediatric Version (PAID-Peds).

Authors:  Jessica T Markowitz; Lisa K Volkening; Deborah A Butler; Lori M B Laffel
Journal:  J Diabetes Sci Technol       Date:  2015-04-24

8.  Screening for depressive disorder in children and adolescents: validating the Center for Epidemiologic Studies Depression Scale for Children.

Authors:  M Fendrich; M M Weissman; V Warner
Journal:  Am J Epidemiol       Date:  1990-03       Impact factor: 4.897

9.  Continuous glucose monitoring and intensive treatment of type 1 diabetes.

Authors:  William V Tamborlane; Roy W Beck; Bruce W Bode; Bruce Buckingham; H Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A Fox; Lisa K Gilliam; Irl B Hirsch; Elbert S Huang; Craig Kollman; Aaron J Kowalski; Lori Laffel; Jean M Lawrence; Joyce Lee; Nelly Mauras; Michael O'Grady; Katrina J Ruedy; Michael Tansey; Eva Tsalikian; Stuart Weinzimer; Darrell M Wilson; Howard Wolpert; Tim Wysocki; Dongyuan Xing
Journal:  N Engl J Med       Date:  2008-09-08       Impact factor: 91.245

10.  Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self monitoring of blood glucose: meta-analysis of randomised controlled trials using individual patient data.

Authors:  John C Pickup; Suzanne C Freeman; Alex J Sutton
Journal:  BMJ       Date:  2011-07-07
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  6 in total

Review 1.  Use of Diabetes Technology in Children: Role of Structured Education for Young People with Diabetes and Families.

Authors:  Hannah R Desrochers; Alan T Schultz; Lori M Laffel
Journal:  Endocrinol Metab Clin North Am       Date:  2020-03       Impact factor: 4.741

2.  Mental Health Providers' Assessment of Parents' Reactions to their Children's Elevated Depressive Symptoms.

Authors:  Amit Shapira; Lisa K Volkening; Jessica T Markowitz; Deborah A Butler; Lori M Laffel
Journal:  Pediatr Diabetes       Date:  2020-11-04       Impact factor: 4.866

3.  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

4.  Health-related quality of life in youth with type 1 diabetes: Associations with multiple comorbidities and mental health conditions.

Authors:  Amit Shapira; Kara R Harrington; Eveline R Goethals; Lisa K Volkening; Lori M Laffel
Journal:  Diabet Med       Date:  2021-06-19       Impact factor: 4.213

Review 5.  Monitoring of Pediatric Type 1 Diabetes.

Authors:  Brynn E Marks; Joseph I Wolfsdorf
Journal:  Front Endocrinol (Lausanne)       Date:  2020-03-17       Impact factor: 5.555

6.  Beyond A1C: A Practical Approach to Interpreting and Optimizing Continuous Glucose Data in Youth.

Authors:  Iman Al-Gadi; Sruthi Menon; Sarah K Lyons; Daniel J DeSalvo
Journal:  Diabetes Spectr       Date:  2021-05-25
  6 in total

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