Literature DB >> 34252292

Patterns of Continuous Glucose Monitor Use in Young Children Throughout the First 18 Months Following Type 1 Diabetes Diagnosis.

Manuela Sinisterra1, Christine H Wang1, Brynn E Marks1, John Barber1,2, Carrie Tully1,2, Maureen Monaghan1,2, Marisa E Hilliard3, Randi Streisand1,2.   

Abstract

Objective: To describe sociodemographic and parent psychosocial characteristics associated with patterns of continuous glucose monitor (CGM) use across the first 18 months post-type 1 diabetes (T1D) diagnosis among young children.
Methods: One hundred fifty-seven parent-child dyads enrolled in a behavioral intervention for parents of young children (1-6 years) newly diagnosed with T1D. Parents reported on baseline sociodemographic characteristics and psychosocial functioning; child CGM use was assessed at five time points during the first 18 months post-diagnosis.
Results: Most participants (81.8%) used CGM at least once. Four CGM trajectories emerged (always, later/stable, inconsistent, and never). Participants with private insurance were more likely to be in the always, later/stable, or inconsistent groups versus the never group. Youth in the always and later/stable groups had lower mean HbA1c at 18 months than those in the never group. Conclusions: Given the health benefits of CGM, further exploration of barriers to CGM use in families with public health insurance is needed. ClinicalTrials.gov identifier: NCT02527525.

Entities:  

Keywords:  Continuous glucose monitoring; Glycemic outcomes; Health insurance; Pediatrics

Mesh:

Substances:

Year:  2021        PMID: 34252292      PMCID: PMC9009587          DOI: 10.1089/dia.2021.0183

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


  26 in total

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Authors:  Steven M Willi; Kellee M Miller; Linda A DiMeglio; Georgeanna J Klingensmith; Jill H Simmons; William V Tamborlane; Kristen J Nadeau; Julie M Kittelsrud; Peter Huckfeldt; Roy W Beck; Terri H Lipman
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2.  Which factors predict glycemic control in children diagnosed with type 1 diabetes before 6.5 years of age?

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3.  Insulin Pump Use in Young Children with Type 1 Diabetes: Sociodemographic Factors and Parent-Reported Barriers.

Authors:  Persis V Commissariat; Claire T Boyle; Kellee M Miller; Manasa G Mantravadi; Daniel J DeSalvo; William V Tamborlane; Michelle A Van Name; Barbara J Anderson; Linda A DiMeglio; Lori M Laffel
Journal:  Diabetes Technol Ther       Date:  2017-06-05       Impact factor: 6.118

4.  Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS®): depression, anxiety, and anger.

Authors:  Paul A Pilkonis; Seung W Choi; Steven P Reise; Angela M Stover; William T Riley; David Cella
Journal:  Assessment       Date:  2011-06-21

5.  Psychosocial correlates of continuous glucose monitoring use in youth and adults with type 1 diabetes and parents of youth.

Authors:  Jessica T Markowitz; Katherine Pratt; Jyoti Aggarwal; Lisa K Volkening; Lori M B Laffel
Journal:  Diabetes Technol Ther       Date:  2012-04-23       Impact factor: 6.118

6.  Real-time continuous glucose monitoring among participants in the T1D Exchange clinic registry.

Authors:  Jenise C Wong; Nicole C Foster; David M Maahs; Dan Raghinaru; Richard M Bergenstal; Andrew J Ahmann; Anne L Peters; Bruce W Bode; Grazia Aleppo; Irl B Hirsch; Lora Kleis; H Peter Chase; Stephanie N DuBose; Kellee M Miller; Roy W Beck; Saleh Adi
Journal:  Diabetes Care       Date:  2014-07-10       Impact factor: 19.112

7.  Racial and Ethnic Disparities in Rates of Continuous Glucose Monitor Initiation and Continued Use in Children With Type 1 Diabetes.

Authors:  Charlene W Lai; Terri H Lipman; Steven M Willi; Colin P Hawkes
Journal:  Diabetes Care       Date:  2020-11-11       Impact factor: 19.112

8.  Parental Perspectives: Identifying Profiles of Parental Attitudes and Barriers Related to Diabetes Device Use.

Authors:  Jessie Wong; Regan Barley; Sarah Hanes; Molly Tanenbaum; Monica Skylar Lanning; Diana Naranjo; Korey Hood
Journal:  Diabetes Technol Ther       Date:  2020-01-23       Impact factor: 6.118

9.  Diabetes Device Use in Adults With Type 1 Diabetes: Barriers to Uptake and Potential Intervention Targets.

Authors:  Molly L Tanenbaum; Sarah J Hanes; Kellee M Miller; Diana Naranjo; Rachel Bensen; Korey K Hood
Journal:  Diabetes Care       Date:  2016-11-29       Impact factor: 19.112

10.  A Decade of Disparities in Diabetes Technology Use and HbA1c in Pediatric Type 1 Diabetes: A Transatlantic Comparison.

Authors:  Ananta Addala; Marie Auzanneau; Kellee Miller; Werner Maier; Nicole Foster; Thomas Kapellen; Ashby Walker; Joachim Rosenbauer; David M Maahs; Reinhard W Holl
Journal:  Diabetes Care       Date:  2020-09-16       Impact factor: 19.112

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  1 in total

Review 1.  Young Children with Type 1 Diabetes: Recent Advances in Behavioral Research.

Authors:  Maureen Monaghan; Breana L Bryant; Hailey Inverso; Hailey R Moore; Randi Streisand
Journal:  Curr Diab Rep       Date:  2022-04-18       Impact factor: 5.430

  1 in total

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