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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | Quality of Life Research |
| DOIs | |
| State | Accepted/In press - May 21 2018 |
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Keywords
- Diabetes
- Health-related quality of life
- Patient-reported outcomes
- Pediatrics
- PedsQL
- Symptoms
- Type 1 diabetes
- Type 2 diabetes
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
Cite this
Diabetes symptoms predictors of health-related quality of life in adolescents and young adults with type 1 or type 2 diabetes. / The Pediatric Quality Of Life Inventory™ 3.2 Diabetes Module Testing Study Consortium.
In: Quality of Life Research, 21.05.2018, p. 1-9.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Diabetes symptoms predictors of health-related quality of life in adolescents and young adults with type 1 or type 2 diabetes
AU - The Pediatric Quality Of Life Inventory™ 3.2 Diabetes Module Testing Study Consortium
AU - Varni, James W.
AU - Delamater, Alan M.
AU - Hood, Korey K.
AU - Raymond, Jennifer K.
AU - Driscoll, Kimberly A.
AU - Wong, Jenise C.
AU - Adi, Saleh
AU - Yi-Frazier, Joyce P.
AU - Grishman, Ellen K.
AU - Faith, Melissa A.
AU - Corathers, Sarah D.
AU - Kichler, Jessica C.
AU - Miller, Jennifer L.
AU - Doskey, Elena M.
AU - Aguirre, Vincent P.
AU - Heffer, Robert W.
AU - Wilson, Don P.
AU - Varni, James W.
AU - Delamater, Alan M.
AU - Hood, Korey K.
AU - Grishman, Ellen K.
AU - Faith, Melissa A.
AU - Raymond, Jennifer K.
AU - Chang, Nancy T.
AU - Driscoll, Kimberly A.
AU - Wong, Jenise C.
AU - Yi-Frazier, Joyce P.
AU - Corathers, Sarah D.
AU - Kichler, Jessica C.
AU - Miller, Jennifer L.
AU - Wilson, Don P.
PY - 2018/5/21
Y1 - 2018/5/21
N2 - 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.
AB - 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.
KW - Diabetes
KW - Health-related quality of life
KW - Patient-reported outcomes
KW - Pediatrics
KW - PedsQL
KW - Symptoms
KW - Type 1 diabetes
KW - Type 2 diabetes
UR - http://www.scopus.com/inward/record.url?scp=85047179481&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047179481&partnerID=8YFLogxK
U2 - 10.1007/s11136-018-1884-6
DO - 10.1007/s11136-018-1884-6
M3 - Article
C2 - 29785681
AN - SCOPUS:85047179481
SP - 1
EP - 9
JO - Quality of Life Research
JF - Quality of Life Research
SN - 0962-9343
ER -