Abstract
Purpose
This study examined whether the KIDSCREEN-27 was reliable and valid in young children 2–7 years with chronic physical illnesses which included estimating inter-domain correlations and internal consistency; measurement invariance testing; and, discriminant and convergent validity assessments.
Methods
Data come from the Multimorbidity in Children and Youth across the Life-course; a longitudinal study of individuals aged 2–16 years with physical illness. The parent-reported KIDSCREEN-27 was administered. Children (2–7 years; n = 106) were compared to adolescents (8–16 years; n = 157). Reliability was estimated using Cronbach α for internal consistency. Multiple group confirmatory factor analysis tested for measurement invariance. Cohen’s d and Pearson coefficient were used to assess discriminant validity by sex and age. Convergent validity was tested using Pearson coefficients with the WHODAS 2.0 (child functioning/impairment). Multiple regression examined associations between multimorbidity (co-occurring physical and mental illness) and HRQL.
Results
Internal consistency reliabilities were α = 0.74–0.88 (children) and α = 0.77–0.88 (adolescents). Inter-domain correlations were relatively low (children: r = 0.18–0.59; adolescents: r = 0.30–0.62) indicating that each KIDSCREEN-27 domain was measuring a unique aspect of health-related quality of life. Measurement invariance was demonstrated (scalar level). Parameter estimates of the invariant models were similar for children and adolescents. Small, non-significant correlations were found for sex and age for children and adolescents. Medium, significant correlations were found for both groups between the KIDSCREEN-27 and WHODAS 2.0. Children and adolescents with multimorbidity had significantly lower physical well-being, psychological well-being, and school environment scores compare to those without multimorbidity. Regression coefficients were similar between groups.
Conclusion
Findings provide evidence of adequate psychometrics for the KIDSCREEN-27 in young children with chronic physical illness.
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Data availability
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Code availability
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References
Matza, L. S., Patrick, D. L., Riley, A. W., Alexander, J. J., Rajmil, L., Pleil, A. M., & Bullinger, M. (2013). Pediatric patient-reported outcome instruments for research to support medical product labeling: Report of the ISPOR PRO good research practices for the assessment of children and adolescents task force. Value in Health, 16(4), 461–479.
Silva, N., Pereira, M., Otto, C., Ravens-Sieberer, U., Canavarro, M. C., & Bullinger, M. (2019). Do 8- to 18-year-old children/adolescents with chronic physical health conditions have worse health-related quality of life than their healthy peers? A meta-analysis of studies using the KIDSCREEN questionnaires. Quality of Life Research, 28(7), 1725–1750.
Silva, N., Carona, C., Crespo, C., & Canavarro, M. C. (2015). Quality of life in pediatric asthma patients and their parents: A meta-analysis on 20 years of research. Expert Review of Pharmacoeconomics & Outcomes Research, 15(3), 499–519.
Lee, Y. C., Yang, H. J., Chen, V. C., Lee, W. T., Teng, M. J., Lin, C. H., & Gossop, M. (2016). Meta-analysis of quality of life in children and adolescents with ADHD: By both parent proxy-report and child self-report using PedsQL. Research in Developmental Disabilities, 51–52, 160–172.
Varni, J. W., Limbers, C. A., & Burwinkle, T. M. (2007). Impaired health-related quality of life in children and adolescents with chronic conditions: A comparative analysis of 10 disease clusters and 33 disease categories/severities utilizing the PedsQL 4.0 Generic Core Scales. Health and Quality of Life Outcomes, 5, 43.
Haverman, L., Limperg, P. F., Young, N. L., Grootenhuis, M. A., & Klaassen, R. J. (2017). Paediatric health-related quality of life: What is it and why should we measure it? Archives of Disease in Childhood, 102(5), 393–400.
Kenzik, K. M., Tuli, S. Y., Revicki, D. A., Shenkman, E. A., & Huang, I. C. (2014). Comparison of 4 pediatric health-related quality-of-life instruments: A study on a medicaid population. Medical Decision Making, 34(5), 590–602.
Morris, C. G., Fitzpatrick, E., & Child, R. (2009). Parent reported outcome measures: A scoping report focusing on feasibility for routine use in the NHS. University of Oxford.
Grange, A., Bekker, H., Noyes, J., & Langley, P. (2007). Adequacy of health-related quality of life measures in children under 5 years old: Systematic review. Journal of Advanced Nursing, 59(3), 197–220.
Germain, N., Aballea, S., & Toumi, M. (2019). Measuring the health-related quality of life in young children: How far have we come? Journal of Market Access & Health Policy, 7(1), 1618661.
Ferro, M. A., & Boyle, M. H. (2015). The impact of chronic physical illness, maternal depressive symptoms, family functioning, and self-esteem on symptoms of anxiety and depression in children. Journal of Abnormal Child Psychology, 43(1), 177–187.
Reaume, S. V., & Ferro, M. A. (2019). Chronicity of mental comorbidity in children with new-onset physical illness. Child: Care, Health and Development, 45(4), 559–567.
Saigal, S., Ferro, M. A., Van Lieshout, R. J., Schmidt, L. A., Morrison, K. M., & Boyle, M. H. (2016). Health-related quality of life trajectories of extremely low birth weight survivors into adulthood. Journal of Pediatrics, 179, 68-73 e61.
Van Lieshout, R. J., Ferro, M. A., Schmidt, L. A., Boyle, M. H., Saigal, S., Morrison, K. M., & Mathewson, K. J. (2018). Trajectories of psychopathology in extremely low birth weight survivors from early adolescence to adulthood: A 20-year longitudinal study. Journal of Child Psychology and Psychiatry, 59(11), 1192–1200.
Brady, A. M., Deighton, J., & Stansfeld, S. (2020). Chronic illness in childhood and early adolescence: A longitudinal exploration of co-occurring mental illness. Development and Psychopathology, 33(3), 885–898.
Ravens-Sieberer, U., Herdman, M., Devine, J., Otto, C., Bullinger, M., Rose, M., & Klasen, F. (2014). The European KIDSCREEN approach to measure quality of life and well-being in children: Development, current application, and future advances. Quality of Life Research, 23(3), 791–803.
Butler, A., Van Lieshout, R. J., Lipman, E. L., MacMillan, H. L., Gonzalez, A., Gorter, J. W., Georgiades, K., Speechley, K. N., Boyle, M. H., & Ferro, M. A. (2018). Mental disorder in children with physical conditions: A pilot study. BMJ Open, 8(1), e019011.
Abdulah, D. M., & Abdulla, B. M. O. (2018). Effectiveness of group art therapy on quality of life in paediatric patients with cancer: A randomized controlled trial. Complementary Therapies in Medicine, 41, 180–185.
Ellersgaard, D., Gregersen, M., Ranning, A., Haspang, T. M., Christiani, C., Hemager, N., Burton, B. K., Spang, K. S., Sondergaard, A., Greve, A., Gantriis, D., Jepsen, J. R. M., Mors, O., Plessen, K. J., Nordentoft, M., & Thorup, A. A. E. (2020). Quality of life and self-esteem in 7-year-old children with familial high risk of schizophrenia or bipolar disorder: The Danish High Risk and Resilience Study-VIA 7—A population-based cohort study. European Child and Adolescent Psychiatry, 29(6), 849–860.
Ortiz-Pinto, M. A., Ortiz-Marron, H., Rodriguez-Rodriguez, A., Casado-Sanchez, L., Cuadrado-Gamarra, J. I., & Galan, I. (2020). Parental perception of child health status and quality of life associated with overweight and obesity in early childhood. Quality of Life Research, 29(1), 163–170.
Dittrich, K., Fuchs, A., Bermpohl, F., Meyer, J., Fuhrer, D., Reichl, C., Reck, C., Kluczniok, D., Kaess, M., Hindi Attar, C., Mohler, E., Bierbaum, A. L., Zietlow, A. L., Jaite, C., Winter, S. M., Herpertz, S. C., Brunner, R., Bodeker, K., & Resch, F. (2018). Effects of maternal history of depression and early life maltreatment on children’s health-related quality of life. Journal of Affective Disorders, 225, 280–288.
Riiser, K., Helseth, S., Christophersen, K. A., & Haraldstad, K. (2020). Confirmatory factor analysis of the proxy version of Kidscreen-27 and relationships between health-related quality of life dimensions and body mass index and physical activity in young schoolchildren. Preventive Medicine Reports, 20, 101210.
Ferro, M. A., Lipman, E. L., Van Lieshout, R. J., Gorter, J. W., Shanahan, L., Boyle, M., Georgiades, K., & Timmons, B. (2019). Multimorbidity in children and youth across the life-course (MY LIFE): Protocol of a Canadian prospective study. BMJ Open, 9(11), e034544.
Ferro, M. A., Lipman, E. L., Van Lieshout, R. J., Timmons, B., Shanahan, L., Gorter, J. W., Georgiades, K., & Boyle, M. (2021). Cohort profile: Multimorbidity in children and youth across the life-course (MY LIFE) study. Journal of the Canadian Academy of Child and Adolescent Psychiatry, 30(2), 104–115.
KIDSCREEN Group. (2006). The KIDSCREEN questionnaires. Pabst Science Publishers.
Ravens-Sieberer, U., Auquier, P., Erhart, M., Gosch, A., Rajmil, L., Bruil, J., Power, M., Duer, W., Cloetta, B., Czemy, L., Mazur, J., Czimbalmos, A., Tountas, Y., Hagquist, C., Kilroe, J., & European, K. G. (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.
Robitail, S., Ravens-Sieberer, U., Simeoni, M. C., Rajmil, L., Bruil, J., Power, M., Duer, W., Cloetta, B., Czemy, L., Mazur, J., Czimbalmos, A., Tountas, Y., Hagquist, C., Kilroe, J., Auquier, P., & Group, K. (2007). Testing the structural and cross-cultural validity of the KIDSCREEN-27 quality of life questionnaire. Quality of Life Research, 16(8), 1335–1345.
Qadeer, R. A., & Ferro, M. A. (2018). Child–parent agreement on health-related quality of life in children with newly diagnosed chronic health conditions: A longitudinal study. International Journal of Adolescence and Youth, 23(1), 99–108.
Tompke, B. K., & Ferro, M. A. (2021). Measurement invariance and informant discrepancies of the KIDSCREEN-27 in children with mental disorder. Applied Research in Quality of Life, 16(4), 891–910.
Oltean, I. I., & Ferro, M. A. (2019). Agreement of child and parent-proxy reported health-related quality of life in children with mental disorder. Quality of Life Research, 28(3), 703–712.
Üstün, T. B., Kostanjsek, N., Chatterji, S., & Rehm, J. (2010). Measuring health and disability: Manual for WHO Disability Assessment Schedule: WHODAS 2.0. World Health Organization.
Kimber, M., Rehm, J., & Ferro, M. A. (2015). Measurement invariance of the WHODAS 2.0 in a population-based sample of youth. PLoS ONE, 10(11), e0142385.
Tompke, B. K., Tang, J., Oltean, I. I., Buchan, M. C., Reaume, S. V., & Ferro, M. A. (2020). Measurement invariance of the WHODAS 2.0 across youth with and without physical or mental conditions. Assessment, 27(7), 1490–1501.
Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., Hergueta, T., Baker, R., & Dunbar, G. C. (1998). The Mini-International Neuropsychiatric Interview (M.I.N.I.): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry, 59(Suppl 20), 22-33;quiz 34-57.
Duncan, L., Boyle, M., Ferro, M. A., Georgiades, K., Van Lieshout, R. J., Bennett, K., Janus, M., Lipman, E., MacMillan, H., & Szatmari, P. (2018). Psychometric evaluation of the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). Psychological Assessment, 30(7), 916–928.
McDonald, E., Whitney, S., Horricks, L., Lipman, E. L., & Ferro, M. A. (2021). Parent-child agreement on the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). Journal of Canadian Academy of Child and Adolescent Psychiatry, 30(4), 264–272.
Georgiades, K., Duncan, L., Wang, L., Comeau, J., Boyle, M. H., & Ontario Child Health Study, T. (2019). Six-month prevalence of mental disorders and service contacts among children and youth in Ontario: Evidence from the 2014 Ontario Child Health Study. Canadian Journal of Psychiatry, 64(4), 246–255.
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and Psychological Measurement, 73(6), 913–934.
Asparouhov, T., & Muthén, B. O. (2010). Weighted least squares estimation with missing data. Muthén & Muthén.
Hepner, K. A., & Sechrest, L. (2002). Confirmatory factor analysis of the Child Health Questionnaire-Parent Form 50 in a predominantly minority sample. Quality of Life Research, 11(8), 763–773.
Millsap, R. E., & Yun-Tein, J. (2004). Assessing factorial invariance in ordered-categorical measures. Multivariate Behavioral Research, 39(3), 479–515.
Muthén, L. K., & Muthén, B. O. (2017). Mplus user's guide (8th ed.). Muthén & Muthén.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). The Guilford Press.
Ferro, M. A., & Boyle, M. H. (2013). Longitudinal invariance of measurement and structure of global self-concept: A population-based study examining trajectories among adolescents with and without chronic illness. Journal of Pediatric Psychology, 38(4), 425–437.
Ferro, M. A., & Speechley, K. N. (2013). Factor structure and longitudinal invariance of the Center for Epidemiological Studies Depression Scale (CES-D) in adult women: Application in a population-based sample of mothers of children with epilepsy. Archives of Women’s Mental Health, 16(2), 159–166.
Ferro, M. A., Goodwin, S. W., Sabaz, M., & Speechley, K. N. (2016). Measurement equivalence of the newly developed Quality of Life in Childhood Epilepsy Questionnaire (QOLCE-55). Epilepsia, 57(3), 427–435.
Chen, F. F. (2007). Sensitivity of goodness of fit indices to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504.
Ferro, M. A., Boyle, M. H., Scott, J. G., & Dingle, K. (2014). The Child Behavior Checklist and Youth Self-Report in adolescents with epilepsy: Testing measurement invariance of the attention and thought problems subscales. Epilepsy & Behavior, 31(1), 34–42.
Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods & Research, 44(3), 486–507.
Shi, D. X., Maydeu-Olivares, A., & Rosseel, Y. (2020). Assessing fit in ordinal factor analysis models: SRMR vs. RMSEA. Structural Equation: A Modeling Multidisciplinary Journal, 27(1), 1–15.
Maydeu-Olivares, A. (2017). Assessing the size of model misfit in structural equation models. Psychometrika, 82(3), 533–558.
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.
Zou, G. Y., & Donner, A. (2008). Construction of confidence limits about effect measures: A general approach. Statistics in Medicine, 27(10), 1693–1702.
Steinmetz, H. (2013). Analyzing observed composite differences across groups. Is partial measurement invariance enough? Methodology, 9(1), 1–12.
Steinmetz, H., Schmidt, P., Tina-Booh, A., Wieczorek, S., & Schwartz, S. H. (2009). Testing measurement invariance using multiple group CFA: Differences between educational groups in human values measurement. Quality & Quantity, 43(4), 599–616.
Berman, A. H., Liu, B., Ullman, S., Jadback, I., & Engstrom, K. (2016). Children’s quality of life based on the KIDSCREEN-27: Child self-report, parent ratings and child–parent agreement in a Swedish random population sample. PLoS ONE, 11(3), e0150545.
Michel, G., Bisegger, C., Fuhr, D. C., Abel, T., & Group, K. (2009). Age and gender differences in health-related quality of life of children and adolescents in Europe: A multilevel analysis. Quality of Life Research, 18(9), 1147–1157.
Meade, T., & Dowswell, E. (2015). Health-related quality of life in a sample of Australian adolescents: Gender and age comparison. Quality of Life Research, 24(12), 2933–2938.
Otto, C., Haller, A. C., Klasen, F., Holling, H., Bullinger, M., Ravens-Sieberer, U., & Group, B. S. (2017). Risk and protective factors of health-related quality of life in children and adolescents: Results of the longitudinal BELLA study. PLoS ONE, 12(12), e0190363.
De Civita, M., Regier, D., Alamgir, A. H., Anis, A. H., Fitzgerald, M. J., & Marra, C. A. (2005). Evaluating health-related quality-of-life studies in paediatric populations: Some conceptual, methodological and developmental considerations and recent applications. PharmacoEconomics, 23(7), 659–685.
Ferro, M. A. (2014). Risk factors for health-related quality of life in children with epilepsy: A meta-analysis. Epilepsia, 55(11), 1722–1731.
Sawyer, M. G., Whaites, L., Rey, J. M., Hazell, P. L., Graetz, B. W., & Baghurst, P. (2002). Health-related quality of life of children and adolescents with mental disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 41(5), 530–537.
Bai, G., Herten, M. H., Landgraf, J. M., Korfage, I. J., & Raat, H. (2017). Childhood chronic conditions and health-related quality of life: Findings from a large population-based study. PLoS ONE, 12(6), e0178539.
Fleming, M., Salim, E. E., Mackay, D. F., Henderson, A., Kinnear, D., Clark, D., King, A., McLay, J. S., Cooper, S. A., & Pell, J. P. (2020). Neurodevelopmental multimorbidity and educational outcomes of Scottish schoolchildren: A population-based record linkage cohort study. PLoS Medicine, 17(10), e1003290.
Acknowledgements
The authors gratefully acknowledge the children, parents, and health professionals and their staff without whose participation this study would not have been possible. We especially thank Jessica Zelman, Robyn Wojcicki, and Charlene Attard for co-ordinating the study and Saad Qureshi for helping with the literature review.
Funding
This study was funded by the Canadian Institutes of Health Research (PJT-148602). Dr. Ferro holds the Canada Research Chair in Youth Mental Health and the Early Researcher Award from the Ministry of Research, Innovation and Science.
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Dr. MAF conceptualized and designed the study, co-ordinated and supervised data collection, conducted the analysis, and drafted the manuscript. Drs. CO and UR-S were involved in the initial development of scale, interpreted findings, and critically reviewed the manuscript for important intellectual content. All authors approved the final manuscript.
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All participants 16 years and older provided informed consent, children 7–15 provided assent, and children 6 and younger were consented by their parents.
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MY LIFE received ethical approval from the University of Waterloo Human Research Ethics Board (ORE-22183) and the Hamilton Integrated Research Ethics Board (2797).
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Ferro, M.A., Otto, C. & Ravens-Sieberer, U. Measuring health-related quality of life in young children with physical illness: psychometric properties of the parent-reported KIDSCREEN-27. Qual Life Res 31, 1509–1520 (2022). https://doi.org/10.1007/s11136-021-03054-2
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DOI: https://doi.org/10.1007/s11136-021-03054-2