Literature DB >> 22524590

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

Jessica T Markowitz1, Katherine Pratt, Jyoti Aggarwal, Lisa K Volkening, Lori M B Laffel.   

Abstract

BACKGROUND: Continuous glucose monitoring (CGM) has been shown to improve glycemic control and reduce hypoglycemia with consistent use. Youth, however, are unlikely to use CGM consistently. We compared psychological characteristics of youth with type 1 diabetes, their parents, and adults with type 1 diabetes randomized to CGM or standard blood glucose monitoring (BGM). This study was an ancillary study, and participants completed the questionnaires at the 6-month visit of the main study. SUBJECTS AND METHODS: Participants enrolled at a single site of the Juvenile Diabetes Research Foundation CGM trial completed questionnaires and provided diabetes management data. Participants were randomized to the CGM or BGM group for 6 months.
RESULTS: Parents in both groups reported more fear of hypoglycemia than youth in the corresponding groups. CGM youth and parents reported more negative affect around BGM than those in the BGM group. CGM youth reported more trait anxiety than BGM youth, whereas CGM adults reported less state and trait anxiety than BGM adults. CGM parent-proxy report of depression was significantly higher than that reported by BGM parents.
CONCLUSIONS: Youth, their parents, and adults report different psychological impacts of CGM use. In some groups and with some variables, CGM use was associated with a positive psychosocial impact, whereas in others CGM use was associated with a negative psychosocial impact. Future research should explore the psychological consequences of CGM use.

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Year:  2012        PMID: 22524590      PMCID: PMC3359621          DOI: 10.1089/dia.2011.0201

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


  11 in total

1.  Re-examining a measure of diabetes-related burden in parents of young people with Type 1 diabetes: the Problem Areas in Diabetes Survey - Parent Revised version (PAID-PR).

Authors:  J T Markowitz; L K Volkening; D A Butler; J Antisdel-Lomaglio; B J Anderson; L M B Laffel
Journal:  Diabet Med       Date:  2012-04       Impact factor: 4.359

2.  Updated and revised Diabetes Family Conflict Scale.

Authors:  Korey K Hood; Deborah A Butler; Barbara J Anderson; Lori M B Laffel
Journal:  Diabetes Care       Date:  2007-03-19       Impact factor: 19.112

3.  PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations.

Authors:  J W Varni; M Seid; P S Kurtin
Journal:  Med Care       Date:  2001-08       Impact factor: 2.983

4.  The Children's Depression, Inventory (CDI).

Authors:  M Kovacs
Journal:  Psychopharmacol Bull       Date:  1985

5.  The Blood Glucose Monitoring Communication questionnaire: an instrument to measure affect specific to blood glucose monitoring.

Authors:  Korey K Hood; Deborah A Butler; Lisa K Volkening; Barbara J Anderson; Lori M B Laffel
Journal:  Diabetes Care       Date:  2004-11       Impact factor: 19.112

6.  Satisfaction with continuous glucose monitoring in adults and youths with Type 1 diabetes.

Authors:  M Tansey; L Laffel; J Cheng; R Beck; J Coffey; E Huang; C Kollman; J Lawrence; J Lee; K Ruedy; W Tamborlane; T Wysocki; D Xing
Journal:  Diabet Med       Date:  2011-09       Impact factor: 4.359

7.  The PedsQL in type 1 and type 2 diabetes: reliability and validity of the Pediatric Quality of Life Inventory Generic Core Scales and type 1 Diabetes Module.

Authors:  James W Varni; Tasha M Burwinkle; Jenifer R Jacobs; Michael Gottschalk; Francine Kaufman; Kenneth L Jones
Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

8.  Assessment of diabetes-related distress.

Authors:  W H Polonsky; B J Anderson; P A Lohrer; G Welch; A M Jacobson; J E Aponte; C E Schwartz
Journal:  Diabetes Care       Date:  1995-06       Impact factor: 19.112

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.  The effect of continuous glucose monitoring in well-controlled type 1 diabetes.

Authors:  Roy W Beck; Irl B Hirsch; Lori Laffel; William V Tamborlane; Bruce W Bode; Bruce Buckingham; Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A Fox; Lisa K Gilliam; Elbert S Huang; Craig Kollman; Aaron J Kowalski; Jean M Lawrence; Joyce Lee; Nelly Mauras; Michael O'Grady; Katrina J Ruedy; Michael Tansey; Eva Tsalikian; Stuart A Weinzimer; Darrell M Wilson; Howard Wolpert; Tim Wysocki; Dongyuan Xing
Journal:  Diabetes Care       Date:  2009-05-08       Impact factor: 19.112

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  29 in total

1.  Analysis: The Accuracy and Efficacy of the Dexcom G4 Platinum Continuous Glucose Monitoring System.

Authors:  Cornelis A J van Beers; J H DeVries
Journal:  J Diabetes Sci Technol       Date:  2015-04-27

2.  Continuous glucose monitoring in 2013.

Authors:  Tadej Battelino; Bruce W Bode
Journal:  Diabetes Technol Ther       Date:  2014-02       Impact factor: 6.118

3.  Development of a Novel Tool to Support Engagement With Continuous Glucose Monitoring Systems and Optimize Outcomes.

Authors:  Katharine D Barnard-Kelly; William H Polonsky
Journal:  J Diabetes Sci Technol       Date:  2019-05-21

Review 4.  Developmental changes in the roles of patients and families in type 1 diabetes management.

Authors:  Jessica T Markowitz; Katharine C Garvey; Lori M B Laffel
Journal:  Curr Diabetes Rev       Date:  2015

5.  Salient characteristics of youth with type 1 diabetes initiating continuous glucose monitoring.

Authors:  Gabriela H Telo; Lisa K Volkening; Deborah A Butler; Lori M Laffel
Journal:  Diabetes Technol Ther       Date:  2015-03-06       Impact factor: 6.118

6.  Continuous Glucose Monitoring Associated With Less Diabetes-Specific Emotional Distress and Lower A1c Among Adolescents With Type 1 Diabetes.

Authors:  Anthony T Vesco; Aneta M Jedraszko; Kimberly P Garza; Jill Weissberg-Benchell
Journal:  J Diabetes Sci Technol       Date:  2018-03-29

7.  Diabetes Technological Revolution: Winners and Losers?

Authors:  Katharine D Barnard; Marc D Breton
Journal:  J Diabetes Sci Technol       Date:  2018-07-23

Review 8.  Technology to optimize pediatric diabetes management and outcomes.

Authors:  Jessica T Markowitz; Kara R Harrington; Lori M B Laffel
Journal:  Curr Diab Rep       Date:  2013-12       Impact factor: 4.810

9.  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

Review 10.  Quality of life and technology: impact on children and families with diabetes.

Authors:  Masakazu Hirose; Elizabeth A Beverly; Katie Weinger
Journal:  Curr Diab Rep       Date:  2012-12       Impact factor: 4.810

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