The KIDSCREEN-27 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries
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To assess the construct and criterion validity of the KIDSCREEN-27 health-related quality of life (HRQoL) questionnaire, a shorter version of the KIDSCREEN-52.
The five-dimensional KIDSCREEN-27 was tested in a sample of 22,827. For criterion validity the correlation with and the percentage explained variance of the scores of the KIDSCREEN-52 instrument were examined. Construct validity was assessed by testing a priori expected associations with other generic HRQoL measures (YQOL-S, PedsQL, CHIP), indicators of physical and mental health, and socioeconomic status. Age and gender differences were investigated.
Correlation with corresponding scales of the KIDSCREEN-52 ranged from r = 0.63 to r = 0.96, and r 2 ranged from 0.39 to 0.92. Correlations between other HRQoL questionnaires and KIDSCREEN-27 dimensions were moderate to high for those assessing similar constructs (r = 0.36 to 0.63). Statistically significant and sizeable differences between physically and mentally healthy and ill children were found in all KIDSCREEN-27 dimensions together with strong associations with psychosomatic complaints (r = −0.52). Most of the KIDSCREEN-27 dimensions showed a gradient according to socio-economic status, age and gender.
The KIDSCREEN-27 seems to be a valid measure of HRQoL in children and adolescents. Further research is needed to assess longitudinal validity and sensitivity to change.
KeywordsChildren’s and adolescent’s health Cultural sensitivity Measurement Quality of life Research methodology
Child Health and Illness Profile-Adolescent Edition
Children with Special Health Care Needs Screener
Differential Item Functioning
Family Affluence Scale
Health Behavior in School-aged Children
Health-Related Quality of life
Item Response Theory
Ordinal Logistic Regression
Pediatric Quality of Life Inventory
Strengths and Difficulties Questionnaire
World Health Organization
Youth Quality of Life Instrument-Surveillance Version
The KIDSCREEN project was financed by a grant from the European Commission (QLG-CT-2000-00751) within the EC 5th Framework-Programme “Quality of Life and Management of Living Resources”.
- 1.Committee on Evaluation of Children’s Health NRC. Measuring Children’s Health (2004). Children’s health, the nation’s wealth: Assessing and improving child health (pp. 91–115). Washington, D.C.: The National Academies Press.Google Scholar
- 4.Ravens-Sieberer, U., Erhart, M., Power, M., Auquier, P., Cloetta, B., Hagquist, C., Bruil, J., & Rajmil, L. (2003). Item-response-theory analyses of child and adolescent self-report quality of life data: The European cross-cultural research instrument KIDSCREEN. Quality Life Research, 12, 1793.Google Scholar
- 5.Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Duer, W., Auquier, P., Power, M., Abel, T., Czemy, L., Mazur, J., Czimbalmos, A., Tountas, Y., Hagquist, C., the European KIDSCREEN Group. (2005). The KIDSCREEN-52 Quality of life measure for children and adolescents: Development and first results from a European survey. Expert Review of Pharmacoeconomics & Outcomes Research, 5, 353–364.CrossRefGoogle Scholar
- 8.Robitail, S., Ravens-Sieberer, U., Simeón, M. C., Rajmil, L., Buril, J., Power, M., Duer, W., Coleta, B., Czerny, L., Mazur, J., Czembalmos ,A., Tountas, Y., Hagquist, C., Kilroe, J., Auquier, P., & the KIDSCREEN group (in press). Testing the structural and cross-cultural validity of the KIDSCREEN-27 health-related quality of life questionnaire. Quality Life Research, doi: 10.1007/s11136-007-9241-1Google Scholar
- 9.Berra, Ravens-Sieberer, U., Erhart, M., Tebé, C., Bisegger, C., Duer, W., von Rueden, U., Herdman, M., Alonso, J., Rajmil, L., & the KIDSCREEN group (in press). Methods and representativeness of European surveys on children and adolescents: the KIDSCREEN study. BMC Public Health Google Scholar
- 12.Edwards, T. C., Huebner, C. E., Connell, F. A., & Partick, D. L. (2002). Adolescent Quality of Life, Part I: Conceptual and measurement model. Journal of Adolescent Health, 25, 275–286.Google Scholar
- 13.Patrick, D. L., Edwards, T. C., & Topolski, T. D. (2002). Adolescent Quality of Life, Part II: Initial Validation of a New Instrument. Journal of Adolescent Health, 25, 287–300.Google Scholar
- 16.Bethell, C. D., Read, D., Neff, J., Blumberg, S. J., Stein, R. E., Sharp, V., & Newacheck, P. W. (2002). Comparison of the children with special health care needs screener to the questionnaire for identifying children with chronic conditions-revised. Ambulatory Pediatrics, 2, 49–57.PubMedCrossRefGoogle Scholar
- 19.Information for researchers and professionals about the Strengths & Difficulties Questionnaires. Scoring of the SDQ. Retrieved May 15, 2007, from http://sdqinfo.com/b4html.Google Scholar
- 21.Bortz, J., & Döring, N. (2002). Forschungsmethoden und Evaluation (3rd ed.). Berlin: Springer.Google Scholar
- 22.Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Lawrence Erlbaum.Google Scholar
- 23.Nunnally, J., & Bernstein, I. J. (1994). Psychometric theory (3rd ed.). New York: Mc-Graw-Hill.Google Scholar
- 25.Vingilis, E. R., Wade, T., & Seeley, J. S. (2002). Predictors of adolescent self-rated health. Analysis of the National Population Health Survey. Canadian Journal of Public Health, 93, 193–197.Google Scholar
- 27.Bisegger, C., Cloetta, B., von Rueden, U., Abet, T., Ravens-Sieberer, U., the European KIDSCREEN group (2005). Health-related quality of life: gender differences in childhood and adolescence. Social and Preventive Medicine, 50, 281–291.Google Scholar