Skip to main content

Advertisement

Log in

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

  • Review
  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Purpose

This meta-analytic review aimed to estimate the magnitude of health-related quality of life (HrQoL) impairments, as assessed by the KIDSCREEN questionnaires, both self- and parent-reported, in 8- to 18-years-old children/adolescents with chronic health conditions.

Methods

To identify studies using the KIDSCREEN questionnaires, three electronic databases (PubMed, PsycINFO, EBSCOhost Psychology & Behavioral Sciences) were searched. The final search (February 14–15, 2018) revealed 528 non-duplicated articles, of which 23 papers (21 studies) directly compared the HrQoL of pediatric patients to community/healthy controls and were included in the meta-analysis. Pooled mean differences (MD) with 95% CIs were estimated using the inverse-variance random-effects method.

Results

Of the 21 studies, 16 used self-reports, one used parent-reports and four adopted a multi-informant approach. Self-reported data were retrieved from 20 studies (4852 cases/28,578 controls), and parent-reported data were retrieved from four studies (511 cases/433 controls). Pediatric patients presented significant HrQoL impairments in the domains of physical well-being (MD = − 4.84, 95% CI − 6.44/− 3.24 for self-reports; MD = − 6.86, 95% CI − 10.42/− 3.29 for parent-reports) and peers and social support (MD = − 1.29, 95% CI − 2.25/− 0.34 for self-reports; MD = − 3.90, 95% CI − 5.28/− 2.52 for parent-reports), compared to community/healthy peers. Between-studies heterogeneity was explained by diagnostic categories, instrument version and informants.

Conclusions

The identification of significant HrQoL impairments among pediatric patients, specifically in the physical and social domains, highlights the importance of routine psychosocial assessment and intervention in primary pediatric healthcare services. Specific recommendations include the use of profile measures, both self- and parent-reports, and the prioritization of oncology, endocrinology and neurology services.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

References have been highlighted as: *Papers included in the meta-analysis

  1. Newacheck, P. W., & Taylor, W. R. (1992). Childhood chronic illness: Prevalence, severity, and impact. American Journal of Public Health, 82(3), 364–371.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. 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. https://doi.org/10.1186/1477-7525-5-43.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Asher, M. I., Montefort, S., Björkstén, B., Lai, C. K., Strachan, D. P., Weiland, S. K., et al. (2006). Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC phases one and three repeat multicountry cross-sectional surveys. Lancet. https://doi.org/10.1016/S0140-6736(06)69283-0.

    Article  PubMed  Google Scholar 

  4. Hruby, A., & Hu, F. B. (2015). The epidemiology of obesity: A big picture. PharmacoEconomics. https://doi.org/10.1007/s40273-014-0243-x.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Suris, J., Michaud, P., & Viner, R. (2004). The adolescent with a chronic condition. Part I: Developmental issues. Archives of Disease in Childhood. https://doi.org/10.1136/adc.2003.045369.

    Book  Google Scholar 

  6. Silver, J., Westbrook, L., & Stein, R. (1998). Relationship of parental psychological distress to consequences of chronic health conditions in children. Journal of Pediatric Psychology. https://doi.org/10.1093/jpepsy/23.1.5.

    Article  PubMed  Google Scholar 

  7. Newacheck, P. W., & Halfon, N. (1998). Prevalence and impact of disabling chronic conditions in childhood. American Journal of Public Health, 88(4), 610–617.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Stein, R. E., & Jessop, D. J. (1989). What diagnosis does not tell: The case for a noncategorical approach to chronic illness in childhood. Social Science and Medicine. https://doi.org/10.1016/0277-9536(89)90157-3.

    Article  PubMed  Google Scholar 

  9. Stein, R. E., & Silver, E. J. (1999). Operationalizing a conceptually based noncategorical definition: A first look at US children with chronic conditions. Archives of Pediatrics and Adolescent Medicine. https://doi.org/10.1001/archpedi.153.1.68.

    Article  PubMed  Google Scholar 

  10. Grootenhuis, M. A., Koopman, H. M., Verrips, E. G., Vogels, A. G., & Last, B. F. (2007). Health-related quality of life problems of children aged 8-11 years with a chronic disease. Developmental Neurorehabilitation. https://doi.org/10.1080/13682820600691017.

    Article  PubMed  Google Scholar 

  11. Bullinger, M., Schmidt, S., Peterson, C., & Ravens-Sieberer, U. (2006). Quality of life—Evaluation criteria for children with chronic conditions in medical care. Journal of Public Health. https://doi.org/10.1007/s10389-006-0066-0.

    Article  Google Scholar 

  12. 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. https://doi.org/10.2165/00019053-200523070-00003.

    Article  PubMed  Google Scholar 

  13. World Health Organization (WHO). (1993). Measurement of quality of life in children: Report of a WHO/IACAPAP working party. Geneva: World Health Organization.

    Google Scholar 

  14. Ravens-Sieberer, U., Gosch, A., Abel, T., Auquier, P., Bellach, B. M., Bruil, J., et al. (2001). Quality of life in children and adolescents: A European public health perspective. Sozial- und Präventivmedizin. https://doi.org/10.1007/BF01321080.

    Article  PubMed  Google Scholar 

  15. The WHOQOL Group. (1995). The World Health Organization Quality of Life assessment (WHOQOL): Position paper from the World Health Organization. Social Science and Medicine. https://doi.org/10.1016/0277-9536(95)00112-K.

    Article  Google Scholar 

  16. Herdman, M., Rajmil, L., Ravens-Sieberer, U., Bullinger, M., Power, M., Alonso, J., et al. (2002). Expert consensus in the development of a European health-related quality of life measure for children and adolescents: A Delphi study. Acta Paediatrica. https://doi.org/10.1111/j.1651-2227.2002.tb02838.x.

    Article  PubMed  Google Scholar 

  17. Detmar, S. B., Bruil, J., Ravens-Sieberer, U., Gosch, A., & Bisegger, C. (2006). The use of focus groups in the development of the KIDSCREEN HRQL questionnaire. Quality of Life Research. https://doi.org/10.1007/s11136-006-0022-z.

    Article  PubMed  Google Scholar 

  18. Guillemin, F., Bombardier, C., & Beaton, D. (1993). Cross-cultural adaption of health-related quality of life measures: Literature review and proposed guidelines. Journal of Clinical Epidemiology. https://doi.org/10.1016/0895-4356(93)90142-N.

    Article  PubMed  Google Scholar 

  19. The KIDSCREEN Group Europe. (2006). The KIDSCREEN questionnaires: Quality of life for children and adolescents – Handbook. Lengerich: Pabst Science Publishers.

    Google Scholar 

  20. Dickinson, H. O., Parkinson, K. N., Ravens-Sieberer, U., Schirripa, G., Thyen, U., Arnaud, C., et al. (2007). Self-reported quality of life of 8–12-year-old children with cerebral palsy: A cross-sectional European study. Lancet. https://doi.org/10.1016/S0140-6736(07)61013-7.

    Article  PubMed  Google Scholar 

  21. Erhart, M., Ravens-Sieberer, U., Dickinson, H. O., & Colver, A. (2009). Rasch measurement properties of the KIDSCREEN quality of life instrument in children with cerebral palsy and differential item functioning between children with and without cerebral palsy. Value in Health. https://doi.org/10.1111/j.1524-4733.2009.00508.x.

    Article  PubMed  Google Scholar 

  22. Roberts, C., Freeman, J., Schnohr, C. W., Looze, M. E., Nic Gabhainn, S., Rasmussen, M., et al. (2009). The health behaviour in school-aged children (HBSC) study: Methodological developments and current tensions. International Journal of Public Health. https://doi.org/10.1007/s00038-009-5405-9.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Currie, C., Nic Gabhainn, S., & Godeau, E. (2009). The health behaviour in school-aged children: WHO collaborative crossnational (HBSC) study: Origins, concept, history and development 1982–2008. International Journal of Public Health. https://doi.org/10.1007/s00038-009-5404-x.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Liberati, A., Altman, D., Tetzlaff, J., Mulrow, C., Gøtzsche, P., Ioannidis, J., et al. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: Explanation and elaboration. British Medical Journal. https://doi.org/10.1136/bmj.b2700.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Ravens-Sieberer, U., Erhart, M., Wille, N., Wetzel, R., Nickel, J., & Bullinger, M. (2006). Generic health-related quality-of-life assessment in children and adolescents: Methodological considerations. Pharmacoeconomics. https://doi.org/10.2165/00019053-200624120-00005.

    Article  PubMed  Google Scholar 

  26. Mokkink, L. B., van der Lee, J. H., Grootenhuis, M. A., Offringa, M., Heymans, H. S., & Dutch National Consensus Committee Chronic Diseases Health Conditions in Childhood. (2008). Defining chronic diseases and health conditions in childhood (0-18 years of age): National consensus in the Netherlands. European Journal of Pediatrics. https://doi.org/10.1007/s00431-008-0697-y.

    Article  PubMed  Google Scholar 

  27. World Health Organization (WHO). (2016). International Statistical Classification of Diseases and Related Health Problems 10th Revision. Geneva: World Health Organization.

    Google Scholar 

  28. Sawyer, G., Whaites, L., Rey, M., Hazell, L., Graetz, 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. https://doi.org/10.1097/00004583-200205000-00010.

    Article  PubMed  Google Scholar 

  29. Chen, H., Cohen, P., Kasen, S., Johnson, G., Berenson, K., & Gordon, K. (2006). Impact of adolescent mental disorders and physical illnesses on quality of life 17 years later. Archives of Pediatrics and Adolescent Medicine. https://doi.org/10.1001/archpedi.160.1.93.

    Article  PubMed  Google Scholar 

  30. Gerharz, E. W., Eiser, C., & Woodhouse, C. R. (2003). Current approaches to assessing the quality of life in children and adolescents. BJU International. https://doi.org/10.1046/j.1464-410X.2003.04001.x.

    Article  PubMed  Google Scholar 

  31. Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.

    Article  CAS  PubMed  Google Scholar 

  32. Cochrane Consumers & Communication Review Group (2016). Data extraction template for included studies, Version 1.8. Resource document. Retrieved From http://cccrg.cochrane.org/sites/cccrg.cochrane.org/files/public/uploads/det_2015_revised_final_june_20_2016_nov_29_revised.doc. Accessed 15 April 2018.

  33. Higgins, J. P. T., & Green, S. (2008). Cochrane handbook for systematic reviews of interventions. West Sussex: John Wiley & Sons Ltd.

    Book  Google Scholar 

  34. Hozo, S. P., Djulbegovic, B., & Hozo, I. (2005). Estimating the mean and variance from the median, range, and the size of a sample. BMC Medical Research Methodology. https://doi.org/10.1186/1471-2288-5-13.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Wells, G. A., Shea, B., O’Connell, D., Peterson, J., Welch, V., Losos, M., et al. (2010). The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta-analyses. Ottawa: The Ottawa Health Research Institute.

    Google Scholar 

  36. The Cochrane Collaboration (2014). Review Manager (RevMan) [Computer program]. Version 5.3. Copenhagen: The Nordic Cochrane Centre.

  37. Altman, D. G., & Bland, J. M. (1996). Detecting skewness from summary information. BMJ British Medical Journal, 313(7066), 1200.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Norman, G. R., Sloan, J. A., & Wyrwich, K. W. (2003). Interpretation of changes in health-related quality of life: The remarkable universality of half a standard deviation. Medical Care. https://doi.org/10.1097/01.MLR.0000062554.74615.4C.

    Article  PubMed  Google Scholar 

  39. Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. West Sussex: John Wiley & Sons Ltd.

    Book  Google Scholar 

  40. Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. BMJ British Medical Journal. https://doi.org/10.1136/bmj.327.7414.557.

    Article  PubMed  PubMed Central  Google Scholar 

  41. *van Riel, C. A., Meijer-van den Bergh, E. E., Kemps, H. L., Feuth, T., Schreuder, H. W., Hoogerbrugge, P. M., et al. (2014). Self-perception and quality of life in adolescents during treatment for a primary malignant bone tumour. European Journal of Oncology Nursing. https://doi.org/10.1016/j.ejon.2014.01.005.

    Article  PubMed  Google Scholar 

  42. *Hijmans, C. T., Fijnvandraat, K., Oosterlaan, J., Heijboer, H., Peters, M., & Grootenhuis, M. A. (2010). Double disadvantage: A case control study on health-related quality of life in children with sickle cell disease. Health and Quality of Life Outcomes. https://doi.org/10.1186/1477-7525-8-121.

    Article  PubMed  PubMed Central  Google Scholar 

  43. *Morales, P. F., Sánchez-López, M., Moya-Martínez, P., García-Prieto, J. C., Martínez-Andrés, M., García, N. L., et al. (2013). Health-related quality of life, obesity, and fitness in schoolchildren: The Cuenca study. Quality of Life Research. https://doi.org/10.1007/s11136-012-0282-8.

    Article  PubMed  PubMed Central  Google Scholar 

  44. *Moreira, H., Carona, C., Silva, N., Frontini, R., Bullinger, M., & Canavarro, M. C. (2013). Psychological and quality of life outcomes in pediatric populations: A parent-child perspective. The Journal of Pediatrics. https://doi.org/10.1016/j.jpeds.2013.06.028.

    Article  PubMed  Google Scholar 

  45. *Moreira, H., Frontini, R., Bullinger, M., & Canavarro, M. C. (2014). Family cohesion and health-related quality of life of children with type 1 diabetes: The mediating role of parental adjustment. Journal of Child and Family Studies. https://doi.org/10.1007/s10826-013-9758-6.

    Article  Google Scholar 

  46. *Gouveia, M. J., Frontini, R., Canavarro, M. C., & Moreira, H. (2014). Quality of life and psychological functioning in pediatric obesity: The role of body image dissatisfaction between girls and boys of different ages. Quality of Life Research. https://doi.org/10.1007/s11136-014-0711-y.

    Article  PubMed  Google Scholar 

  47. *Muros, J. J., Salvador Pérez, F., Zurita Ortega, F., Gámez Sánchez, V. M., & Knox, E. (2017). The association between healthy lifestyle behaviors and health-related quality of life among adolescents. Jornal de Pediatria. https://doi.org/10.1016/j.jped.2016.10.005.

    Article  PubMed  Google Scholar 

  48. *Olaya Contreras, P., Bastidas, M., & Arvidsson, D. (2015). Colombian children with overweight and obesity need additional motivational support at school to perform health-enhancing physical activity. Journal of Physical Activity and Health. https://doi.org/10.1123/jpah.2014-0024.

    Article  PubMed  Google Scholar 

  49. *Ottova, V., Erhart, M., Rajmil, L., Dettenborn-Betz, L., & Ravens-Sieberer, U. (2012). Overweight and its impact on the health-related quality of life in children and adolescents: Results from the European KIDSCREEN survey. Quality of Life Research. https://doi.org/10.1007/s11136-011-9922-7.

    Article  PubMed  Google Scholar 

  50. *Bompori, E., Niakas, D., Nakou, I., Siamopoulou-Mavridou, A., & Tzoufi, M. S. (2014). Comparative study of the health-related quality of life of children with epilepsy and their parents. Epilepsy & Behavior. https://doi.org/10.1016/j.yebeh.2014.09.009.

    Article  Google Scholar 

  51. *Zamani, G., Heidari, M., Azizi Malamiri, R., Ashrafi, M. R., Mohammadi, M., Shervin Badv, R., et al. (2016). The quality of life in boys with Duchenne muscular dystrophy. Neuromuscular Disorders. https://doi.org/10.1016/j.nmd.2016.05.004.

    Article  PubMed  Google Scholar 

  52. *Duarte, I., Santos, C. C., Rego, G., & Nunes, R. (2014). Health-related quality of life in children and adolescents with cochlear implants: Self and proxy reports. Acta Oto-Laryngologica. https://doi.org/10.3109/00016489.2014.930968.

    Article  PubMed  Google Scholar 

  53. *Janiec, I., Werner, B., Sieminska, J., & Ravens-Sieberer, U. (2011). Quality of life of children with mitral valve prolapse. Quality of Life Research. https://doi.org/10.1007/s11136-010-9780-8.

    Article  PubMed  Google Scholar 

  54. *Hedman, L., Stridsman, C., Andersson, M., Backman, H., Jansson, S. A., & Rönmark, E. (2017). Population-based study shows that teenage girls with asthma had impaired health-related quality of life. Acta Paediatrica. https://doi.org/10.1111/apa.13847.

    Article  PubMed  Google Scholar 

  55. *Jelenova, D., Prasko, J., Ociskova, M., Karaskova, E., Hunkova, M., Kolarova, J., et al. (2015). Quality of life in adolescents with inflammatory bowel disease and their parents: Comparison with healthy controls. Neuroendocrinology Letters, 36(8), 787–792.

    PubMed  Google Scholar 

  56. *Myléus, A., Petersen, S., Carlsson, A., Hammarroth, S., Högberg, L., & Ivarsson, A. (2014). Health-related quality of life is not impaired in children with undetected as well as diagnosed celiac disease: A large population based cross-sectional study. BMC Public Health. https://doi.org/10.1186/1471-2458-14-425.

    Article  PubMed  PubMed Central  Google Scholar 

  57. *Strinnholm, Å., Hedman, L., Winberg, A., Jansson, S. A., Lindh, V., & Rönmark, E. (2017). Health related quality of life among schoolchildren aged 12-13 years in relation to food hypersensitivity phenotypes: A population-based study. Clinical and Translational Allergy. https://doi.org/10.1186/s13601-017-0156-9.

    Article  PubMed  PubMed Central  Google Scholar 

  58. *Fontecha, C. G., Balagué, F., Pellisé, F., Rajmil, L., Aguirre, M., Pasarín, M., et al. (2011). Low back pain in adolescents: Is quality of life poorer in those seeking medical attention? Spine. https://doi.org/10.1097/BRS.0b013e318203ed5b.

    Article  PubMed  Google Scholar 

  59. *Palmen, N. K., Zilkens, C., Rosenthal, D., Krauspe, R., Hefter, H., & Westhoff, B. (2014). Post-operative quality of life in children with severe perthes disease: Differences to matched controls and correlation with clinical function. Orthopedic Reviews. https://doi.org/10.4081/or.2014.5567.

    Article  PubMed  PubMed Central  Google Scholar 

  60. *Dotis, J., Pavlaki, A., Printza, N., Stabouli, S., Antoniou, S., Gkogka, C., et al. (2016). Quality of life in children with chronic kidney disease. Pediatric Nephrology. https://doi.org/10.1007/s00467-016-3457-7.

    Article  PubMed  Google Scholar 

  61. *Amedro, P., Dorka, R., Moniotte, S., Guillaumont, S., Fraisse, A., Kreitmann, B., et al. (2015). Quality of life of children with congenital heart diseases: A multicenter controlled cross-sectional study. Pediatric Cardiology. https://doi.org/10.1007/s00246-015-1201-x.

    Article  PubMed  Google Scholar 

  62. *Sundell, A. L., Törnhage, C. J., & Marcusson, A. (2017). A comparison of health-related quality of life in 5- and 10-year-old Swedish children with and without cleft lip and/or palate. International Journal of Paediatric Dentistry. https://doi.org/10.1111/ipd.12253.

    Article  PubMed  Google Scholar 

  63. *Haraldstad, K., Christophersen, K. A., Eide, H., Nativg, G. K., & Helseth, S. (2011). Predictors of health-related quality of life in a sample of children and adolescents: A school survey. Journal of Clinical Nursing. https://doi.org/10.1111/j.1365-2702.2010.03693.x.

    Article  PubMed  Google Scholar 

  64. Schulte, F., Russell, K. B., Cullen, P., Embry, L., Fay-McClymont, T., Johnston, D., et al. (2017). Systematic review and meta-analysis of health-related quality of life in pediatric CNS tumor survivors. Pediatric Blood & Cancer. https://doi.org/10.1002/pbc.26442.

    Article  Google Scholar 

  65. Randa, H., Todberg, T., Skov, L., Larsen, L. S., & Zachariae, R. (2017). Health-related quality of life in children and adolescents with psoriasis: A systematic review and meta-analysis. Acta Dermato-Venereologica. https://doi.org/10.2340/00015555-2600.

    Article  PubMed  Google Scholar 

  66. Ul-Haq, Z., Mackay, D. F., Fenwick, E., & Pell, J. P. (2013). Meta-analysis of the association between body mass index and health-related quality of life among children and adolescents, assessed using the pediatric quality of life inventory index. The Journal of Pediatrics. https://doi.org/10.1016/j.jpeds.2012.07.049.

    Article  PubMed  Google Scholar 

  67. 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. https://doi.org/10.1586/14737167.2015.1008459.

    Article  Google Scholar 

  68. Zeller, M. H., & Modi, A. C. (2006). Predictors of health-related quality of life in obese youth. Obesity. https://doi.org/10.1038/oby.2006.15.

    Article  PubMed  Google Scholar 

  69. Barlow, J. H., & Ellard, D. R. (2006). The psychosocial well-being of children with chronic disease, their parents and siblings: An overview of the research evidence base. Child: Care, Health and Development. https://doi.org/10.1111/j.1365-2214.2006.00591.x.

    Book  Google Scholar 

  70. Austin, J. K., Smith, M. S., Risinger, M. W., & McNelis, A. M. (1994). Childhood epilepsy and asthma: Comparison of quality of life. Epilepsia. https://doi.org/10.1111/j.1528-1157.1994.tb02481.x.

    Article  PubMed  Google Scholar 

  71. Pinquart, M., & Shen, Y. (2011). Behavior problems in children and adolescents with chronic physical illness: A meta-analysis. Journal of Pediatric Psychology. https://doi.org/10.1093/jpepsy/jsr042.

    Article  PubMed  Google Scholar 

  72. Silva, N., Bullinger, M., Moreira, H., Canavarro, M. C., & Carona, C. (2018). Establishing priorities for psychological interventions in pediatric settings: A decision-tree approach using the DISABKIDS-10 Index as a screening instrument. PLoS ONE. https://doi.org/10.1371/journal.pone.0198402.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Sattoe, J. N. T., van Staa, A., & Moll, H. A. (2012). The proxy problem anatomized: Child-parent disagreement in health related quality of life reports of chronically ill adolescents. Health and Quality of Life Outcomes. https://doi.org/10.1186/1477-7525-10-10.

    Article  PubMed  PubMed Central  Google Scholar 

  74. White-Koning, M., Arnaud, C., Dickinson, H. O., Thyen, U., Beckung, E., Fauconnier, J., et al. (2007). Determinants of child-parent agreement in quality-of-life reports: A European study of children with cerebral palsy. Pediatrics. https://doi.org/10.1542/peds.2006-3272.

    Article  PubMed  Google Scholar 

  75. Quitmann, J., Rohenkohl, A., Sommer, R., Bullinger, M., & Silva, N. (2016). Explaining parent-child (dis)agreement in generic and short stature-specific health-related quality of life reports: Do family and social relationships matter? Health and Quality of Life Outcomes. https://doi.org/10.1186/s12955-016-0553-0.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Silva, N., Crespo, C., Carona, C., Bullinger, M., & Canavarro, M. C. (2015). Why the (dis)agreement? Family context and child-parent perspectives on health-related quality of life and psychological problems in pediatric asthma. Child: Care, Health and Development. https://doi.org/10.1111/cch.12147.

    Book  Google Scholar 

  77. Egger, M., Davey Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ : British Medical Journal, 315(7109), 629–634.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Macaskill, P., Walter, S. D., & Irwig, L. (2001). A comparison of methods to detect publication bias in meta-analysis. Statistics in Medicine. https://doi.org/10.1002/sim.698.

    Article  PubMed  Google Scholar 

  79. Puhan, M. A., Soesilo, I., Guyatt, G. H., & Schünemann, H. J. (2006). Combining scores from different patient reported outcome measures in meta-analyses: When is it justified? Health and Quality of Life Outcomes. https://doi.org/10.1186/1477-7525-4-94.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Varni, J. W., Burwinkle, T. M., & Lane, M. M. (2005). Health-related quality of life measurement in pediatric clinical practice: An appraisal and precept for future research and application. Health and Quality of Life Outcomes. https://doi.org/10.1186/1477-7525-3-34.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We would like to thank the authors of the original articles included in this meta-analysis, specifically to those who kindly supplied additional data upon our request: H. Moreira (Faculty of Psychology and Education Sciences, University of Coimbra, Portugal); L. Hedman (Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine, The OLIN Unit, Umeå University; Department of Health Sciences, Division of Nursing, Luleå University of Technology, Sweden), and I. Duarte (Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Portugal).

Funding

This study was funded by a Post-doctoral Fellowship (Grant No. SFRH/BPD/116841/2016) from the Portuguese Foundation for Science and Technology, and conducted at the Centre for Research in Neuropsychology and Cognitive Behavioral Intervention (CINEICC), Faculty of Psychology and Education Sciences of the University of Coimbra, and at the Department of Medical Psychology, University Medical Center Hamburg-Eppendorf.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Neuza Silva.

Ethics declarations

Conflict of interest

The authors declare no conflicts of interest.

Ethical approval

This study was approved by the Scientific Council of the Faculty of Psychology and Education Sciences of the University of Coimbra. All studies included in this meta-analytic review were approved by their institutional and/or national ethical committees and were in accordance with the 1964 Helsinki Declaration and its subsequent amendments and with their national ethical and legal requirements, including parental informed consent and, for some studies, additional assent from the children.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Silva, N., Pereira, M., Otto, C. et al. 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. Qual Life Res 28, 1725–1750 (2019). https://doi.org/10.1007/s11136-019-02189-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-019-02189-7

Keywords

Navigation