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Quality of Life Research
Gepubliceerd in: Quality of Life Research 9/2018

21-05-2018

Diabetes symptoms predictors of health-related quality of life in adolescents and young adults with type 1 or type 2 diabetes

Auteurs: James W. Varni, Alan M. Delamater, Korey K. Hood, Jennifer K. Raymond, Kimberly A. Driscoll, Jenise C. Wong, Saleh Adi, Joyce P. Yi-Frazier, Ellen K. Grishman, Melissa A. Faith, Sarah D. Corathers, Jessica C. Kichler, Jennifer L. Miller, Elena M. Doskey, Vincent P. Aguirre, Robert W. Heffer, Don P. Wilson, the Pediatric Quality of Life Inventory™ 3.2 Diabetes Module Testing Study Consortium

Gepubliceerd in: Quality of Life Research | Uitgave 9/2018

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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.
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Literatuur
1.
Mayer-Davis, E. J., Lawrence, J. M., Dabelea, D., Divers, J., Dolan, S. I., Imperatore, L., Linder, G., Marcovina, B., Pettitt, S., Pihoker, D. J., Saydah, C., S., & Wagenknecht, L. (2017). Incidence trends of type 1 and type 2 diabetes among youths, 2002–2012. New England Journal of Medicine, 376, 1419–1429.CrossRefPubMed
2.
Dabelea, D., Mayer-Davis, E. J., Saydah, S., Imperatore, G., Linder, B., Divers, J., Bell, R., Badaru, A., Talton, J. W., Crume, T., Liese, A. D., Merchant, A. T., Lawrence, J. M., Reynolds, K., Dolan, L., Liu, L. L., & Hamman, R. F. (2014). Prevalence of type 1 and type 2 diabetes among children and adolescents from 2001 to 2009. JAMA, 311, 1778–1786.CrossRefPubMedPubMedCentral
3.
You, W. P., & Henneberg, M. (2016). Type 1 diabetes prevalence increasing globally and regionally: The role of natural selection and life expectancy at birth. BMJ Open Diabetes Research & Care, 4, e000161.
4.
Dabelea, D., Stafford, J. M., Mayer-Davis, E. J., D’Agostino, R., Dolan, L., Imperatore, G., Linder, B., Lawrence, J. M., Marcovina, S. M., Mottl, A. K., Black, M. H., Pop-Busui, R., Saydah, S., Hamman, R. F., & Pihoker, C. (2017). Association of type 1 diabetes vs type 2 diabetes diagnosed during childhood and adolescence with complications during teenage years and young adulthood. JAMA, 317, 825–835.CrossRefPubMedPubMedCentral
5.
Goethals, E. R., Oris, L., Soenens, B., Berg, C. A., Prikken, S., Van Broeck, N., Weets, I., Casteels, K., & Luyckx, K. (2017). Parenting and treatment adherence in type 1 diabetes throughout adolescence and emerging adulthood. Journal of Pediatric Psychology, 42, 922–932.CrossRefPubMed
6.
Varni, J. W., Burwinkle, T. M., Jacobs, J. R., Gottschalk, M., Kaufman, F., & Jones, K. L. (2003). 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. Diabetes Care, 26, 631–637.CrossRefPubMed
7.
Anderson, B. J., Laffel, L. M., Domenger, C., Danne, T., Phillip, M., Mazza, C., Hanas, R., Waldron, S., Beck, R. W., Calvi-Gries, F., & Mathieu, C. (2017). Factors associated with diabetes-specific health-related quality of life in youth with type 1 diabetes: The global TEENs study. Diabetes Care, 40, 1002–1009.CrossRefPubMedPubMedCentral
8.
Lawrence, J. M., Yi-Frazier, J. P., Black, M. H., Anderson, A., Hood, K., Imperatore, G., Klingensmith, G. J., Naughton, M., Mayer-Davis, E. J., & Seid, M. (2012). Demographic and clinical correlates of diabetes-related quality of life among youth with type 1 diabetes. Journal of Pediatrics, 161, 201–207.CrossRefPubMed
9.
Hilliard, M. E., Lawrence, J. M., Modi, A. C., Anderson, A., Crume, T., Dolan, L. M., Merchant, A. T., Yi-Frazier, J. P., & Hood, K. K. (2013). Identification of minimal clinically important difference scores of the PedsQL in children, adolescents, and young adults with Type 1 and Type 2 diabetes. Diabetes Care, 36, 1891–1897.CrossRefPubMedPubMedCentral
10.
FDA. (2009). Guidance for Industry: Patient-reported outcome measures: Use in medical product development to support labeling claims: Food and Drug Administration, U.S. Department of Health and Human Services, Rockville, MD.
11.
Lasch, K. E., Marquis, P., Vigneux, M., Abetz, L., Arnould, B., Bayliss, M., Crawford, B., & Rosa, K. (2010). PRO development: Rigorous qualitative research as the crucial foundation. Quality of Life Research, 19, 1087–1096.CrossRefPubMedPubMedCentral
12.
Rothman, M., Burke, L., Erickson, P., Leidy, N. K., Patrick, D. L., & Petrie, C. D. (2009). Use of existing patient-reported outcome (PRO) instruments and their modification: The ISPOR good research practices for evaluating and documenting content validity for the use of existing instruments and their modification PRO task force report. Value in Health, 12, 1075–1083.CrossRefPubMed
13.
Varni, J. W., Curtis, B. H., Abetz, L. N., Lasch, K. E., Piault, E. C., & Zeytoonjian, A. A. (2013). Content validity of the PedsQL™ 3.2 Diabetes Module in newly diagnosed patients with Type 1 Diabetes Mellitus ages 8–45. Quality of Life Research, 22, 2169–2181.CrossRefPubMed
14.
Varni, J. W., Delamater, A. M., Hood, K. K., Raymond, J. K., Chang, N. T., Driscoll, K. A., Wong, J. C., Yi-Frazier, J. P., Grishman, E. K., Faith, M. A., Corathers, S. D., Kichler, J. C., Miller, J. L., Doskey, E. M., Heffer, R. W., & Wilson, D. P. (2018). PedsQL 3.2 Diabetes Module for children, adolescents, and young adults: Reliability and validity in type 1 diabetes. Submitted for publication.
15.
Chamberlain, J. J., Rhinehart, A. S., Shaefer, C. F., & Neuman, A. (2016). Diagnosis and management of diabetes: Synopsis of the 2016 American Diabetes Association Standards of Medical Care in Diabetes. Annals of Internal Medicine, 164, 542–552.CrossRefPubMed
16.
Cusi, K., Sanyal, A. J., Zhang, S., Hartman, M. L., Bue-Valleskey, J. M., Hoogwerf, B. J., & Haupt, A. (2017). Non-alcoholic fatty liver disease (NAFLD) prevalence and its metabolic associations in patients with type 1 diabetes and type 2 diabetes. Diabetes, Obesity & Metabolism, 19, 1630–1634.CrossRef
17.
Fayers, P. M., & Hand, D. J. (1997). Factor analysis, causal indicators and quality of life. Quality of Life Research, 6, 139–150.PubMed
18.
Fairclough, D. L. (2002). Design and analysis of quality of life studies in clinical trials: Interdisciplinary statistics. New York: Chapman & Hall/CRC.CrossRef
19.
Varni, J. W., & Limbers, C. A. (2009). The Pediatric Quality of Life Inventory: Measuring pediatric health-related quality of life from the perspective of children and their parents. Pediatric Clinics of North America, 56, 843–863.CrossRefPubMed
20.
Varni, J. W., Seid, M., & Kurtin, P. S. (2001). PedsQL™ 4.0: Reliability and validity of the Pediatric Quality of Life Inventory™ Version 4.0 Generic Core Scales in healthy and patient populations. Medical Care, 39, 800–812.CrossRefPubMed
21.
Varni, J. W., & Limbers, C. A. (2009). The PedsQL™ 4.0 Generic Core Scales young adult version: Feasibility, reliability and validity in a university student population. Journal of Health Psychology, 14, 611–622.CrossRefPubMed
22.
Varni, J. W., Limbers, C. A., Burwinkle, T. M., Bryant, W. P., & Wilson, D. P. (2008). The ePedsQL™ in Type 1 and Type 2 Diabetes: Feasibility, reliability and validity of the Pediatric Quality of Life Inventory™ Internet administration. Diabetes Care, 31, 672–677.CrossRefPubMed
23.
Kuczmarski, R. J., Ogden, C. L., Guo, S. S., Grummer-Strawn, L. M., Flegal, K. M., Mei, Z., Wei, R., Curtin, L. R., Roche, A. F., & Johnson, C. L. (2002). 2000 CDC growth charts for the United States: Methods and development. Vital Health Statistics, 11, 1–190.
24.
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2). Hillsdale, NJ: Erlbaum.
25.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (3). Mahwah, NJ: Erlbaum.
26.
Costa, P. T., & McCrae, R. R. (1995). Domains and facets: Hierarchical personality assessment using the revised NEO Personality Inventory. Journal of Personality Assessment, 64, 21–50.CrossRefPubMed
27.
Floyd, F. J., & Widaman, K. F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment, 7, 286–299.CrossRef
28.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.CrossRef
29.
Nunnally, J. C., & Bernstein, I. R. (1994). Psychometric theory (3). New York: McGraw-Hill.
30.
Naughton, M. J., Yi-Frazier, J. P., Morgan, T. M., Seid, M., Lawrence, J. M., Klingensmith, G. J., Waitzfelder, B., Standiford, D. A., & Loots, B. (2014). Longitudinal associations between sex, diabetes self-care, and health-related quality of life among youth with type 1 or type 2 diabetes mellitus. Journal of Pediatrics, 164, 1376–1383.CrossRefPubMed
31.
A.D.A. (2015). Glycemic targets. Diabetes Care, 38(Suppl 1), S33–S40.
32.
Varni, J. W., Limbers, C. A., Bryant, W. P., & Wilson, D. P. (2009). The PedsQL™ Multidimensional Fatigue Scale in Type 1 diabetes: Feasibility, reliability, and validity. Pediatric Diabetes, 10, 321–328.CrossRefPubMed
33.
Hood, K. K., Beavers, D. P., Yi-Frazier, J., Bell, R., Dabelea, D., Mckeown, R. E., & Lawrence, J. M. (2014). Psychosocial burden and glycemic control during the first 6 years of diabetes: Results from the SEARCH for Diabetes in Youth study. Journal of Adolescent Health, 55, 498–504.CrossRefPubMed
34.
Yi-Frazier, J. P., Hilliard, M. E., Fino, N. F., Naughton, M. J., Liese, A. D., Hockett, C. W., Hood, K. K., Pihoker, C., Seid, M., Lang, W., & Lawrence, J. M. (2016). Whose quality of life is it anyway? Discrepancies between youth and parent health-related quality of life ratings in type 1 and type 2 diabetes. Quality of Life Research, 25, 1113–1121.CrossRefPubMed
Metagegevens
Titel
Diabetes symptoms predictors of health-related quality of life in adolescents and young adults with type 1 or type 2 diabetes
Auteurs
James W. Varni
Alan M. Delamater
Korey K. Hood
Jennifer K. Raymond
Kimberly A. Driscoll
Jenise C. Wong
Saleh Adi
Joyce P. Yi-Frazier
Ellen K. Grishman
Melissa A. Faith
Sarah D. Corathers
Jessica C. Kichler
Jennifer L. Miller
Elena M. Doskey
Vincent P. Aguirre
Robert W. Heffer
Don P. Wilson
the Pediatric Quality of Life Inventory™ 3.2 Diabetes Module Testing Study Consortium
Publicatiedatum
21-05-2018
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 9/2018
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-018-1884-6

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