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The Health-Related Quality of Life Index KIDSCREEN-10: Confirmatory Factor Analysis, Convergent Validity and Reliability in a Sample of Iranian Students

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Abstract

The aim of the present study was to evaluate validity and reliability of the Health Related Quality of Life Index KIDSCREEN-10 in a sample of Iranian school students. Using multistage sampling, 551 middle and high school students were selected in Yazd and answered to KIDSCREEN-10 index. Each 100 students also completed one more questionnaire (included in research tools). To verify the reliability of the questionnaire, Cronbach’s alpha measure and test-retest reliability (intraclass correlation coefficient) were used and Confirmatory factor analysis and correlation analysis methods were employed to assess the construct validity and convergent validity of the questionnaire. Cronbach’s alpha (0.80) and intraclass correlation coefficient (0.85) confirmed reliability of the questionnaire, and Confirmatory Factor Analysis indicated a unidimentional structure for the questionnaire. Moreover, obtained a high correlation between the total score of the KIDSCREEN-10 index and the total scores obtained from other indices was an indicative of convergent validity for the scale. However, the correlations obtained for the KIDSCREEN-10 index with the dimensions in the other questionnaires varied from low (for Multidimensional Students’ Life Satisfaction Scales) to moderate and high (for KIDSCREEN-52, Pediatric Quality of Life Inventory, General Health Questionnaire-28, Personal Well-Being Index—School Children, and Coopersmith Self Esteem Inventory). Significant differences in quality of life scores were found between male and female students of 11 to 15 and 16 to 19 year old, whereas such a difference was absent in psychological and socio-economic status. Overall, the KIDSCREEN-10 has an acceptable validity and reliability in Iranian students and can be used for health care polices and research projects here in this country.

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References

  • Amiri, P., Ardekani, E. M., Jalali-Farahani, S., Hosseinpanah, F., Varni, J. W., Ghofranipour, F., et al. (2010). Reliability and validity of the Iranian version of the Pediatric Quality of Life Inventory™ 4.0 Generic Core Scales in adolescents. Quality of Life Research, 19(10), 1501–1508.

    Article  Google Scholar 

  • Analitis, F., Velderman, M. K., Ravens-Sieberer, U., Detmar, S., Erhart, M., Herdman, M., et al. (2009). Being bullied: associated factors in children and adolescents 8 to 18 years old in 11 European countries. Pediatrics, 123(2), 569–577.

    Article  Google Scholar 

  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238.

    Article  Google Scholar 

  • Berra, S., Bustingorry, V., Henze, C., Díaz, M. P., Rajmil, L., & Butinof, M. (2009). Cross-cultural adaptation of the KIDSCREEN questionnaire to measure the health related quality of life in the 8 to 18 year-old Argentinean population. Archivos Argentinos de Pediatría, 107, 307–314.

    Google Scholar 

  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing Structural Equation Models (Vol. 154, pp. 136–162). Beverly Hills: Sage.

    Google Scholar 

  • Coopersmith, S. (1981). Self-esteem inventories. Palo Alto: Consulting Psychologists Press, Inc.

    Google Scholar 

  • Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.

    Article  Google Scholar 

  • Cummins, R., & Lau, A. L. D. (2005). Personal Wellbeing Index–School Children. Victoria: Deakin University.

    Google Scholar 

  • Davis, E., Shelly, A., Waters, E., & Davern, M. (2010). Measuring the quality of life of children with cerebral palsy: comparing the conceptual differences and psychometric properties of three instruments. Developmental Medicine and Child Neurology, 52(2), 174–180.

    Article  Google Scholar 

  • Edwards, T. C., Huebner, C. E., Connell, F. A., & Patrick, D. L. (2002). Adolescent quality of life, part I: conceptual and measurement model. Journal of Adolescence, 25(3), 275–286.

    Article  Google Scholar 

  • Engelen, V., Haentjens, M., Detmar, S., Koopman, H., & Grootenhuis, M. (2009). Health related quality of life of Dutch children: psychometric properties of the PedsQL in the Netherlands. BMC Pediatrics, 9(1), 68.

    Article  Google Scholar 

  • Erhart, M., Ottova, V., Gaspar, T., Jericek, H., Schnohr, C., Alikasifoglu, M., et al. (2009). Measuring mental health and well-being of school-children in 15 European countries using the KIDSCREEN-10 Index. International Journal of Public Health, 54, 160–166.

    Article  Google Scholar 

  • Garmaroodi, G. R., & Moradi, A. (2010). Developing a questionnaire for assessing socio-economic status in Tehran city. Health Monitor, 9(2), 137–144.

    Google Scholar 

  • Gilman, R., Huebner, E. S., & Laughlin, J. E. (2000). A first study of the Multidimensional Students’ Life Satisfaction Scale with adolescents. Social Indicators Research, 52(2), 135–160.

    Article  Google Scholar 

  • Goldberg, D. P., & Hillier, V. (1979). A scaled version of the General Health Questionnaire. Psychological Medicine, 9(01), 139–145.

    Article  Google Scholar 

  • Goodman, R. (2001). Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child and Adolescent Psychiatry, 40(11), 1337–1345.

    Article  Google Scholar 

  • Goswami, H. (2013). Children’s subjective well-being: socio-demographic characteristics and personality. Child Indicators Research, doi:10.1007/s12187-013-9205-7.

  • Haraldstad, K., Christophersen, K. A., Eide, H., Nativg, G. K., & Helseth, S. (2011). Health related quality of life in children and adolescents: reliability and validity of the Norwegian version of KIDSCREEN-52 questionnaire, a cross sectional study. International Journal of Nursing Studies, 48(5), 573–581.

    Article  Google Scholar 

  • Hong, S. D., Yang, J. W., Jang, W. S., Byun, H., Lee, M. S., Kim, H. S., et al. (2007). The KIDSCREEN-52 quality of life measure for children and adolescents (KIDSCREEN-52-HRQOL): reliability and validity of the Korean version. Journal of Korean Medical Science, 22(3), 446–452.

    Article  Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.

    Article  Google Scholar 

  • Huang, I.-C., Wen, P.-S., Revicki, D. A., & Shenkman, E. A. (2011). Quality of life measurement for children with life-threatening conditions: limitations and a new framework. Child Indicators Research, 4(1), 145–160.

    Article  Google Scholar 

  • Huebner, E. S. (1994). Preliminary development and validation of a multidimensional life satisfaction scale for children. Psychological Assessment, 6(2), 149.

    Article  Google Scholar 

  • Iwata, N., & Saito, K. (1992). The factor structure of the 28-item General Health Questionnaire when used in Japanese early adolescents and adult employees: age-and cross-cultural comparisons. European Archives of Psychiatry and Clinical Neuroscience, 242(2), 172–178.

    Article  Google Scholar 

  • Jafari, P., Ghanizadeh, A., Akhondzadeh, S., & Mohammadi, M. R. (2011). Health-related quality of life of Iranian children with attention deficit/hyperactivity disorder. Quality of Life Research, 20(1), 31–36.

    Article  Google Scholar 

  • Landgraf, J. M., & Abetz, L. (1998). Influences of sociodemographic characteristics on parental reports of children’s physical and psychosocial well-being: early experiences with the Child Health Questionnaire. In M. E. Maruish (Ed.), Measuring health related quality of life in children and adolescents (pp. 105–130). Mahwah: Lawrence Erlbaum Associated.

    Google Scholar 

  • Lane, G. G., White, A. E., & Henson, R. K. (2002). Expanding Reliability Generalization Methods with KR-21 Estimates an RG Study of the Coopersmith Self-Esteem Inventory. Educational and Psychological Measurement, 62(4), 685–711.

    Article  Google Scholar 

  • Lubetkin, E. I., Jia, H., Franks, P., & Gold, M. R. (2005). Relationship among sociodemographic factors, clinical conditions, and health-related quality of life: examining the EQ-5D in the US general population. Quality of Life Research, 14(10), 2187–2196.

    Article  Google Scholar 

  • Mulaik, S. A., James, L. R., Van Alstine, J., Bennett, N., Lind, S., & Stilwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105(3), 430.

    Article  Google Scholar 

  • Naeinian, M. R., Gohari, Z., Matlabi nejad, S., & Baloochan, M. (2011). Primary investigation of validity and reliability of personal well-being index school children version (PWI-Sc). Paper presented at the Third congress of psychiatric, Tehran, Iran.

  • Nunnally, J. C., & Bernstein, I. H. (1991). Psychometric theory. 1994. New York: McGraw.

    Google Scholar 

  • Ravens-Sieberer, U., & Bullinger, M. (1998). Assessing health-related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results. Quality of Life Research, 7(5), 399–407.

    Article  Google Scholar 

  • Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Duer, W., et al. (2005). KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Review of Pharmacoeconomics and Outcomes Research, 5(3), 353–364.

    Article  Google Scholar 

  • Ravens-Sieberer, U., Auquier, P., Erhart, M., Gosch, A., Rajmil, L., Bruil, J., et al. (2007). The KIDSCREEN-27 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. Quality of Life Research, 16(8), 1347–1356.

    Article  Google Scholar 

  • Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Power, M., et al. (2008). The KIDSCREEN-52 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. Value in Health, 11(4), 645–658.

    Article  Google Scholar 

  • Ravens-Sieberer, U., Erhart, M., Rajmil, L., Herdman, M., Auquier, P., Bruil, J., et al. (2010). Reliability, construct and criterion validity of the KIDSCREEN-10 score: a short measure for children and adolescents’ well-being and health-related quality of life. Quality of Life Research, 19(10), 1487–1500.

    Article  Google Scholar 

  • Shahabudin, S. M., & Low, W. Y. (2013). An assessment of the “Capital” indicators for measuring socioeconomic status of high school students and the influence on family and school stressors. Child Indicators Research, doi:10.1007/s12187-013-9192-8.

  • Spieth, L. E., & Harris, C. V. (1996). Assessment of health-related quality of life in children and adolescents: an integrative review. Journal of Pediatric Psychology, 21(2), 175–193.

    Article  Google Scholar 

  • Starfield, B., Ensminger, M., Riley, A., McGauhey, P., Skinner, A., Kim, S., et al. (1993). Adolescent health status measurement: development of the Child Health and Illness Profile. Pediatrics, 91(2), 430–435.

    Google Scholar 

  • Tebe, C., Berra, S., Herdman, M., Aymerich, M., Alonso, J., & Rajmil, L. (2008). Fiabilidad y validez de la versión española del KIDSCREEN-52 para población infantil y adolescente. Medicina Clínica, 130(17), 650–654.

    Article  Google Scholar 

  • Varni, J. W., Burwinkle, T. M., & Seid, M. (2006). The PedsQL TM 4.0 as a school population health measure: feasibility, reliability, and validity. Quality of Life Research, 15(2), 203–215.

    Article  Google Scholar 

  • Ware Jr, J. E. (1984). Methodology in behavioral and psychosocial cancer research. Conceptualizing disease impact and treatment outcomes. Cancer, 15;53(10 Suppl):2316–26.

  • Zaki, M. A. (2007). Validation of multidimensional satisfaction of life scale in students. Iranian Journal of Psychiatry and Clinical Psychology, 13(1), 49–57.

    Google Scholar 

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Acknowledgments

We are Thankful to all students participated in this study and the other professors in the department of clinical psychology in Shahed university.

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Authors and Affiliations

  1. Department of Clinical Psychology, Shahed University, Tehran, Iran

    Amir Nik-Azin & Mohammad Reza Shairi

  2. Science and Research Branch, Islamic Azad University, Kermanshah, Iran

    Mohammad Reza Naeinian

  3. Department of Clinical Psychology, Islamic Azad University, Razi Branch, Kermanshah, Iran

    Atousa Sadeghpour

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  1. Amir Nik-Azin
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  2. Mohammad Reza Shairi
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  3. Mohammad Reza Naeinian
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  4. Atousa Sadeghpour
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Correspondence to Amir Nik-Azin.

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Nik-Azin, A., Shairi, M.R., Naeinian, M.R. et al. The Health-Related Quality of Life Index KIDSCREEN-10: Confirmatory Factor Analysis, Convergent Validity and Reliability in a Sample of Iranian Students. Child Ind Res 7, 407–420 (2014). https://doi.org/10.1007/s12187-013-9216-4

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