Determinants of health-related quality of life in school-aged children: a general population study in the Netherlands

PLoS One. 2015 May 1;10(5):e0125083. doi: 10.1371/journal.pone.0125083. eCollection 2015.

Abstract

Background: Health related quality of life is the functional effect of a medical condition and/or its therapy upon a patient, and as such is particularly suitable for describing the general health of children. The objective of this study was to identify and confirm potential determinants of health-related quality of life in children aged 4-11 years in the general population in the Netherlands. Understanding such determinants may provide insights into more targeted public health policy.

Methods: As part of a population based cross sectional study, the Child Health Questionnaire (CHQ) Parental Form 28 was used to measure health-related quality of life in school-aged children in a general population sample. Parents of 10,651 children aged 4-11 years were interviewed from January 2001 to December 2009.

Results: Multivariate and regression analyses demonstrated a declined CHQ Physical Summary score for children who had >1 conditions, disorders or acute health complaints and who were greater consumers of healthcare; children with a non-western immigrant background; and children whose parents did not work. Lower CHQ Psychosocial Summary score was reported for children who had >1 conditions, disorders or acute health complaints, boys, children of single parents and obese children.

Conclusion: The best predictors of health-related quality of life are variables that describe use of health care and the number of disorders and health complaints. Nonetheless, a number of demographic, socio-economic and family/environmental determinants contribute to a child's health-related quality of life as well.

MeSH terms

  • Child
  • Child, Preschool
  • Female
  • Health*
  • Humans
  • Male
  • Multivariate Analysis
  • Netherlands / epidemiology
  • Quality of Life*
  • Regression Analysis
  • Schools / statistics & numerical data*
  • Surveys and Questionnaires

Grants and funding

The authors received no specific funding for this work. Co-author Jeanne M. Landgraf is employed by HealthActCHQ. HealthActCHQ provided support in the form of salary for author JML, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific role of this author is articulated in the ‘author contributions’ section.