Skip to main content
Erschienen in: Quality of Life Research 8/2013

01.10.2013 | Brief Communication

Confirmatory factor analysis of the PedsQL among youth in a residential treatment setting

verfasst von: Steven Hoffman, Matthew C. Lambert, Timothy D. Nelson, Alexandra L. Trout, Michael H. Epstein, Robert Pick

Erschienen in: Quality of Life Research | Ausgabe 8/2013

Einloggen, um Zugang zu erhalten

Abstract

Purpose

The Pediatric Quality of Life assessment (PedsQL™) is the most widely used measure for assessing adolescent health-related quality of life (HRQoL). While youth in residential treatment facilities face many physical and mental health, behavioral, education, and familial challenges that could impact their HRQoL, no research has sought to assess the factor structure of the PedsQL™ among youth receiving residential care.

Methods

High school–aged youth (N = 229) attending a large residential treatment center in Omaha, NE were recruited to complete a data collection packet comprised of various health assessments including the PedsQL. Four competing confirmatory factor analysis models were used to test the hypothesized internal structure of the PedsQL™ 4.0 Teen Report.

Results

Models A, B, and C had acceptable CFI (≥.90), TLI (≥.90), and RMSEA (≤.08) fit indicators. However, factor loadings for items 5 and 6 were problematic. After removing the two problematic items, Model D was fit to the data and proved to be the superior of the four models. This model included two first-order factors (physical health problems; school attendance problems) and one second-order factor (psychological health problems).

Conclusions

The findings suggest that researchers and practitioners studying youth in residential settings can reliably use the PedsQL™ to assess their HRQoL.
Literatur
1.
Zurück zum Zitat Matza, L. S., Swensen, A. R., Flood, E. M., Secnik, K., & Leidy, N. K. (2004). Assessment of health-related quality of life in children: A review of conceptual, methodological, and regulatory issues. Value in Health, 7, 79–92.PubMedCrossRef Matza, L. S., Swensen, A. R., Flood, E. M., Secnik, K., & Leidy, N. K. (2004). Assessment of health-related quality of life in children: A review of conceptual, methodological, and regulatory issues. Value in Health, 7, 79–92.PubMedCrossRef
2.
Zurück zum Zitat Dalmida, S. G. (2006). Spirituality, mental health, physical health, and health-related quality of life among women with HIV/AIDS: Integrating spirituality into mental health care. Issues in Mental Health Nursing, 27, 185–198.PubMedCrossRef Dalmida, S. G. (2006). Spirituality, mental health, physical health, and health-related quality of life among women with HIV/AIDS: Integrating spirituality into mental health care. Issues in Mental Health Nursing, 27, 185–198.PubMedCrossRef
3.
Zurück zum Zitat Eton, D. T., & Lepore, S. J. (2002). Prostate cancer and health-related quality of life: A review of the literature. Psychooncology, 11, 307–326.PubMedCrossRef Eton, D. T., & Lepore, S. J. (2002). Prostate cancer and health-related quality of life: A review of the literature. Psychooncology, 11, 307–326.PubMedCrossRef
4.
Zurück zum Zitat Eisenman, D. P., Gelberg, L., Liu, H., & Shapiro, M. F. (2003). Mental health and health-related quality of life among adult Latino primary care patients living in the United States with previous exposure to political violence. The Journal of the American Medical Association, 290, 627–634.CrossRef Eisenman, D. P., Gelberg, L., Liu, H., & Shapiro, M. F. (2003). Mental health and health-related quality of life among adult Latino primary care patients living in the United States with previous exposure to political violence. The Journal of the American Medical Association, 290, 627–634.CrossRef
5.
Zurück zum Zitat Institute of Medicine. (2012). Living well with chronic illness: A call for public health action. Washington, DC: The National Academics Press. Institute of Medicine. (2012). Living well with chronic illness: A call for public health action. Washington, DC: The National Academics Press.
6.
Zurück zum Zitat Asarnow, J. R., Aoki, W., & Elson, S. (1996). Children in residential treatment: A follow-up study. Journal of Clinical Child Psychology, 25, 209–214.CrossRef Asarnow, J. R., Aoki, W., & Elson, S. (1996). Children in residential treatment: A follow-up study. Journal of Clinical Child Psychology, 25, 209–214.CrossRef
7.
Zurück zum Zitat Drais-Parrillo, A. A., Baker, A., Fojaz, S., Gunn, S., Kurland, D., & Schnur, E. (2005). The Odyssey project: A descriptive and prospective study of children and youth in residential group care and therapeutic foster care. Washington, DC: Child Welfare League of America. Drais-Parrillo, A. A., Baker, A., Fojaz, S., Gunn, S., Kurland, D., & Schnur, E. (2005). The Odyssey project: A descriptive and prospective study of children and youth in residential group care and therapeutic foster care. Washington, DC: Child Welfare League of America.
8.
Zurück zum Zitat Nelson, T. D., Smith, T. R., Thompson, R. W., Epstein, M. H., Griffith, A. K., Duppong Hurley, K., et al. (2011). Prevalence of physical health problems among youth entering residential treatment. Pediatrics, 128, e1226–e1232.PubMedCrossRef Nelson, T. D., Smith, T. R., Thompson, R. W., Epstein, M. H., Griffith, A. K., Duppong Hurley, K., et al. (2011). Prevalence of physical health problems among youth entering residential treatment. Pediatrics, 128, e1226–e1232.PubMedCrossRef
10.
Zurück zum Zitat Hao, Y., Tian, Q., Lu, Y., Chai, Y., & Rao, S. (2010). Psychometric properties of the Chinese version of the Pediatric Quality of Life Inventory 4.0 generic core scales. Quality of Life Research, 19, 1229–1233.PubMedCrossRef Hao, Y., Tian, Q., Lu, Y., Chai, Y., & Rao, S. (2010). Psychometric properties of the Chinese version of the Pediatric Quality of Life Inventory 4.0 generic core scales. Quality of Life Research, 19, 1229–1233.PubMedCrossRef
11.
Zurück zum Zitat Lin, C. Y., Luh, W. M., Yang, A. L., Su, C. T., Wang, J. D., & Ma, J. I. (2012). Psychometric properties and gender invariance of the Chinese version of the self-report Pediatric Quality of Life Inventory version 4.0: Short form is acceptable. Quality of Life Research, 21, 177–182.PubMedCrossRef Lin, C. Y., Luh, W. M., Yang, A. L., Su, C. T., Wang, J. D., & Ma, J. I. (2012). Psychometric properties and gender invariance of the Chinese version of the self-report Pediatric Quality of Life Inventory version 4.0: Short form is acceptable. Quality of Life Research, 21, 177–182.PubMedCrossRef
12.
Zurück zum Zitat Panepinto, J. A., Hoffmann, R. G., & Pajewski, N. M. (2009). A psychometric evaluation of the PedsQL™ family impact module in parents of children with sickle cell disease. Health and Quality of Life Outcomes, 7, 1–11. Panepinto, J. A., Hoffmann, R. G., & Pajewski, N. M. (2009). A psychometric evaluation of the PedsQL™ family impact module in parents of children with sickle cell disease. Health and Quality of Life Outcomes, 7, 1–11.
13.
Zurück zum Zitat Perrin, J. M., Kuhlthau, K., Chughtai, A., Romm, D., Kirschener, B. S., Ferry, G. D., et al. (2008). Measuring quality of life in pediatric patients with inflammatory bowel disease: Psychometric and clinical characteristics. Journal of Pediatric Gastroenterology and Nutrition, 46, 164–171.PubMedCrossRef Perrin, J. M., Kuhlthau, K., Chughtai, A., Romm, D., Kirschener, B. S., Ferry, G. D., et al. (2008). Measuring quality of life in pediatric patients with inflammatory bowel disease: Psychometric and clinical characteristics. Journal of Pediatric Gastroenterology and Nutrition, 46, 164–171.PubMedCrossRef
14.
Zurück zum Zitat Muthén, L. K., & Muthén, B. O. (1998–2009). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén. Muthén, L. K., & Muthén, B. O. (1998–2009). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén.
15.
Zurück zum Zitat Limbers, C. A., Newman, D. A., & Varni, J. W. (2008). Factorial invariance of child self-report across healthy and chronic health condition groups: A confirmatory factor analysis utilizing the PedsQL 4.0 Generic Core Scales. Journal of Pediatric Psychology, 33, 630–639.PubMedCrossRef Limbers, C. A., Newman, D. A., & Varni, J. W. (2008). Factorial invariance of child self-report across healthy and chronic health condition groups: A confirmatory factor analysis utilizing the PedsQL 4.0 Generic Core Scales. Journal of Pediatric Psychology, 33, 630–639.PubMedCrossRef
16.
Zurück zum Zitat 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.PubMedCrossRef 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.PubMedCrossRef
17.
Zurück zum Zitat Varni, J. W., Seid, M., & Rode, C. A. (1999). The PedsQL: Measurement model for the Pediatric Quality of Life Inventory. Medical Care, 37, 126–139.PubMedCrossRef Varni, J. W., Seid, M., & Rode, C. A. (1999). The PedsQL: Measurement model for the Pediatric Quality of Life Inventory. Medical Care, 37, 126–139.PubMedCrossRef
18.
Zurück zum Zitat Varni, J. W. (2010). Scaling and scoring of the Pediatric Quality of Life Inventory™ (PedsQL™). France: Mapi Research Trust. Varni, J. W. (2010). Scaling and scoring of the Pediatric Quality of Life Inventory™ (PedsQL™). France: Mapi Research Trust.
19.
Zurück zum Zitat Little, T. D., Slegers, D. W., & Card, N. A. (2006). A non-arbitrary method of identifying and scaling latent variables in SEM and MACS models. Structural Equation Modeling, 13(1), 59–72.CrossRef Little, T. D., Slegers, D. W., & Card, N. A. (2006). A non-arbitrary method of identifying and scaling latent variables in SEM and MACS models. Structural Equation Modeling, 13(1), 59–72.CrossRef
20.
Zurück zum Zitat Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.PubMedCrossRef Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.PubMedCrossRef
21.
Zurück zum Zitat Tucker, L., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38(1), 1–10.CrossRef Tucker, L., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38(1), 1–10.CrossRef
22.
Zurück zum Zitat Steiger, J. H., & Lind, J. C. (1980, May). Statistically based tests for the number of common factors. Paper presented at the annual meeting of the Psychometric Society, Iowa City, IA. Steiger, J. H., & Lind, J. C. (1980, May). Statistically based tests for the number of common factors. Paper presented at the annual meeting of the Psychometric Society, Iowa City, IA.
23.
Zurück zum Zitat Browne, M. W., & Cudeck, R. (1993). Alternative ways of accessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage. Browne, M. W., & Cudeck, R. (1993). Alternative ways of accessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
24.
Zurück zum Zitat Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.CrossRef Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.CrossRef
Metadaten
Titel
Confirmatory factor analysis of the PedsQL among youth in a residential treatment setting
verfasst von
Steven Hoffman
Matthew C. Lambert
Timothy D. Nelson
Alexandra L. Trout
Michael H. Epstein
Robert Pick
Publikationsdatum
01.10.2013
Verlag
Springer Netherlands
Erschienen in
Quality of Life Research / Ausgabe 8/2013
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-012-0327-z

Weitere Artikel der Ausgabe 8/2013

Quality of Life Research 8/2013 Zur Ausgabe