James W Varni1, Alan M Delamater2, Korey K Hood3, Jennifer K Raymond4, Kimberly A Driscoll5, Jenise C Wong6, Saleh Adi6, Joyce P Yi-Frazier7, Ellen K Grishman8, Melissa A Faith8,9, Sarah D Corathers10, Jessica C Kichler11, Jennifer L Miller12, Elena M Doskey13,14, Vincent P Aguirre15, Robert W Heffer15, Don P Wilson16. 1. Department of Pediatrics, College of Medicine, Department of Landscape Architecture and Urban Planning, College of Architecture, Texas A&M University, 3137 TAMU, College Station, TX, 77843-3137, USA. jvarni@arch.tamu.edu. 2. Department of Pediatrics, Mailman Center for Child Development, University of Miami Miller School of Medicine, Miami, FL, USA. 3. Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford, CA, USA. 4. Center for Endocrinology, Diabetes, & Metabolism, Children's Hospital Los Angeles, Los Angeles, CA, USA. 5. Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Denver, Denver, CO, USA. 6. The Madison Clinic for Pediatric Diabetes and Department of Pediatrics, Division of Endocrinology, University of California San Francisco, San Francisco, CA, USA. 7. Seattle Children's Research Institute, Seattle, WA, USA. 8. Division of Pediatric Endocrinology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA. 9. Institute for Brain Protection Sciences, Johns Hopkins All Children's Hospital, Saint Petersburg, FL, USA. 10. Department of Pediatrics, Division of Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA. 11. Division of Behavioral Medicine and Clinical Psychology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA. 12. Division of Pediatric Endocrinology, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. 13. Department of Educational Psychology, Texas A&M University, College Station, TX, USA. 14. University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. 15. Department of Psychology, Texas A&M University, College Station, TX, USA. 16. Cook Children's Medical Center, Fort Worth, TX, USA.
Abstract
OBJECTIVES: The objective was to investigate the patient-reported diabetes symptoms predictors of generic health-related quality of life (HRQOL) in adolescents and young adults (AYA) with type 1 or type 2 diabetes. METHODS: The 15-item PedsQL™ 3.2 Diabetes Module Diabetes Symptoms Summary Score and PedsQL™ 4.0 Generic Core Scales were completed in a 10-site national field test study by 513 AYA ages 13-25 years with type 1 (n = 424) or type 2 (n = 89) diabetes. Diabetes symptoms were tested for bivariate and multivariate linear associations with generic HRQOL. RESULTS: Diabetes symptoms were associated with decreased HRQOL in bivariate analyses. In predictive analytics models utilizing hierarchical multiple regression analyses controlling for relevant demographic and clinical covariates, diabetes symptoms accounted for 38 and 39% of the variance in patient-reported generic HRQOL for type 1 and type 2 diabetes, respectively, reflecting large effect sizes. The diabetes symptoms facets hyperglycemia symptoms, hypoglycemia symptoms, and nonspecific diabetes symptoms individually accounted for a significant percentage of the variance in separate exploratory predictive analytics models after controlling for demographic and clinical covariates, with small-to-large effect sizes. CONCLUSIONS: Diabetes symptoms are potentially modifiable predictors of generic HRQOL in AYA with diabetes. Identifying specific diabetes symptoms or symptoms facets that are the most important predictors from the patient perspective facilitates a patient-centered approach in clinical research, clinical trials, and practice designed to enhance overall generic HRQOL in AYA with diabetes.
OBJECTIVES: The objective was to investigate the patient-reported diabetes symptoms predictors of generic health-related quality of life (HRQOL) in adolescents and young adults (AYA) with type 1 or type 2 diabetes. METHODS: The 15-item PedsQL™ 3.2 Diabetes Module Diabetes Symptoms Summary Score and PedsQL™ 4.0 Generic Core Scales were completed in a 10-site national field test study by 513 AYA ages 13-25 years with type 1 (n = 424) or type 2 (n = 89) diabetes. Diabetes symptoms were tested for bivariate and multivariate linear associations with generic HRQOL. RESULTS:Diabetes symptoms were associated with decreased HRQOL in bivariate analyses. In predictive analytics models utilizing hierarchical multiple regression analyses controlling for relevant demographic and clinical covariates, diabetes symptoms accounted for 38 and 39% of the variance in patient-reported generic HRQOL for type 1 and type 2 diabetes, respectively, reflecting large effect sizes. The diabetes symptoms facets hyperglycemia symptoms, hypoglycemia symptoms, and nonspecific diabetes symptoms individually accounted for a significant percentage of the variance in separate exploratory predictive analytics models after controlling for demographic and clinical covariates, with small-to-large effect sizes. CONCLUSIONS:Diabetes symptoms are potentially modifiable predictors of generic HRQOL in AYA with diabetes. Identifying specific diabetes symptoms or symptoms facets that are the most important predictors from the patient perspective facilitates a patient-centered approach in clinical research, clinical trials, and practice designed to enhance overall generic HRQOL in AYA with diabetes.
Entities:
Keywords:
Diabetes; Health-related quality of life; Patient-reported outcomes; Pediatrics; PedsQL; Symptoms; Type 1 diabetes; Type 2 diabetes
Authors: Elizabeth J Mayer-Davis; Jean M Lawrence; Dana Dabelea; Jasmin Divers; Scott Isom; Lawrence Dolan; Giuseppina Imperatore; Barbara Linder; Santica Marcovina; David J Pettitt; Catherine Pihoker; Sharon Saydah; Lynne Wagenknecht Journal: N Engl J Med Date: 2017-04-13 Impact factor: 91.245
Authors: James W Varni; Alan M Delamater; Korey K Hood; Jennifer K Raymond; Nancy T Chang; Kimberly A Driscoll; Jenise C Wong; Joyce P Yi-Frazier; Ellen K Grishman; Melissa A Faith; Sarah D Corathers; Jessica C Kichler; Jennifer L Miller; Elena M Doskey; Robert W Heffer; Don P Wilson Journal: Diabetes Care Date: 2018-07-30 Impact factor: 19.112
Authors: Korey K Hood; Daniel P Beavers; Joyce Yi-Frazier; Ronny Bell; Dana Dabelea; Robert E Mckeown; Jean M Lawrence Journal: J Adolesc Health Date: 2014-05-10 Impact factor: 5.012
Authors: Kathryn Eilene Lasch; Patrick Marquis; Marc Vigneux; Linda Abetz; Benoit Arnould; Martha Bayliss; Bruce Crawford; Kathleen Rosa Journal: Qual Life Res Date: 2010-05-30 Impact factor: 4.147
Authors: James W Varni; Bradley H Curtis; Linda N Abetz; Kathryn E Lasch; Elisabeth C Piault; Andrea A Zeytoonjian Journal: Qual Life Res Date: 2012-12-27 Impact factor: 4.147
Authors: Margaret Rothman; Laurie Burke; Pennifer Erickson; Nancy Kline Leidy; Donald L Patrick; Charles D Petrie Journal: Value Health Date: 2009-09-25 Impact factor: 5.725
Authors: Madelon B Bronner; Mariëlle A C Peeters; Jane N T Sattoe; AnneLoes van Staa Journal: Health Qual Life Outcomes Date: 2020-05-12 Impact factor: 3.186