دورية أكاديمية
Diabetes management mediating effects between diabetes symptoms and health‐related quality of life in adolescents and young adults with type 1 diabetes.
| العنوان: | Diabetes management mediating effects between diabetes symptoms and health‐related quality of life in adolescents and young adults with type 1 diabetes. |
|---|---|
| المؤلفون: | Varni, James W, Delamater, Alan M, Hood, Korey K, Driscoll, Kimberly A, Wong, Jenise C, Adi, Saleh, Yi‐Frazier, Joyce P, Grishman, Ellen K, Faith, Melissa A, Corathers, Sarah D, Kichler, Jessica C, Miller, Jennifer L, Raymond, Jennifer K, Doskey, Elena M, Aguirre, Vincent, Heffer, Robert W, Wilson, Don P |
| المصدر: | Pediatric Diabetes; Nov2018, Vol. 19 Issue 7, p1322-1330, 9p, 3 Charts |
| مصطلحات موضوعية: | TREATMENT of diabetes, TYPE 1 diabetes, PATIENT-professional relations, MULTIVARIATE analysis, PATIENT compliance, QUALITY of life, REGRESSION analysis, STATISTICS, DISEASE management, MULTIPLE regression analysis |
| مستخلص: | Objectives: The primary objective was to investigate the mediating effects of diabetes management in the relationship between diabetes symptoms and generic health‐related quality of life (HRQOL) in adolescents and young adults (AYAs) with type 1 diabetes. The secondary objective explored patient health communication and perceived treatment adherence barriers as mediators in a serial multiple mediator model. Methods: The PedsQL 3.2 Diabetes Module 15‐item diabetes symptoms summary score, 18‐item diabetes management summary score, and PedsQL 4.0 generic core scales were completed in a 10‐site national field test study by 418 AYA aged 13 to 25 years with type 1 diabetes. Diabetes symptoms and diabetes management were tested for bivariate and multivariate linear associations with overall generic HRQOL. Mediational analyses were conducted to test the hypothesized mediating effects of diabetes management as an intervening variable between diabetes symptoms and generic HRQOL. Results: The predictive effects of diabetes symptoms on HRQOL were mediated in part by diabetes management. In predictive analytics models utilizing multiple regression analyses, demographic and clinical covariates, diabetes symptoms, and diabetes management significantly accounted for 53% of the variance in generic HRQOL (P < 0.001), demonstrating a large effect size. Patient health communication and perceived treatment adherence barriers were significant mediators in an exploratory serial multiple mediator model. Conclusions: Diabetes management explains in part the effects of diabetes symptoms on HRQOL in AYA with type 1 diabetes. Patient health communication to healthcare providers and perceived treatment adherence barriers further explain the mechanism in the relationship between diabetes symptoms and overall HRQOL. [ABSTRACT FROM AUTHOR] |
| Copyright of Pediatric Diabetes is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| قاعدة البيانات: | Complementary Index |
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The secondary objective explored patient health communication and perceived treatment adherence barriers as mediators in a serial multiple mediator model. Methods: The PedsQL 3.2 Diabetes Module 15‐item diabetes symptoms summary score, 18‐item diabetes management summary score, and PedsQL 4.0 generic core scales were completed in a 10‐site national field test study by 418 AYA aged 13 to 25 years with type 1 diabetes. Diabetes symptoms and diabetes management were tested for bivariate and multivariate linear associations with overall generic HRQOL. Mediational analyses were conducted to test the hypothesized mediating effects of diabetes management as an intervening variable between diabetes symptoms and generic HRQOL. Results: The predictive effects of diabetes symptoms on HRQOL were mediated in part by diabetes management. In predictive analytics models utilizing multiple regression analyses, demographic and clinical covariates, diabetes symptoms, and diabetes management significantly accounted for 53% of the variance in generic HRQOL (P < 0.001), demonstrating a large effect size. Patient health communication and perceived treatment adherence barriers were significant mediators in an exploratory serial multiple mediator model. Conclusions: Diabetes management explains in part the effects of diabetes symptoms on HRQOL in AYA with type 1 diabetes. Patient health communication to healthcare providers and perceived treatment adherence barriers further explain the mechanism in the relationship between diabetes symptoms and overall HRQOL. 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