PLoS ONE (Jan 2014)

Measuring and valuing health-related quality of life among children and adolescents in mainland China--a pilot study.

  • Fei Xu,
  • Gang Chen,
  • Katherine Stevens,
  • HaiRong Zhou,
  • ShengXiang Qi,
  • ZhiYong Wang,
  • Xin Hong,
  • XuPeng Chen,
  • HuaFeng Yang,
  • ChenChen Wang,
  • Julie Ratcliffe

DOI
https://doi.org/10.1371/journal.pone.0089222
Journal volume & issue
Vol. 9, no. 2
p. e89222

Abstract

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BackgroundThe Child Health Utility 9D (CHU9D), a new generic preference-based health-related quality of life (HRQoL) instrument, has been validated for use in young people in both the UK and Australia. The main objectives of this study were to examine the feasibility of using a Chinese version of the CHU9D (CHU9D-CHN) to assess HRQoL and to investigate the association of physical activity, homework hours and sleep duration with HRQoL in children and adolescents in Mainland China.MethodsData were collected using a multi-stage sampling method from grades 4-12 students in May 2013 in Nanjing, China. Consenting participants (N = 815) completed a self-administered questionnaire including the CHU9D-CHN instrument and information on physical activity, homework and sleep duration, self-reported health status, and socio-demographic characteristics. Descriptive and multivariate linear regression analyses were undertaken. CHU9D-CHN utility scores were generated by employing two scoring algorithms currently available for the instrument, the first derived from UK adults utilising the standard gamble (SG) valuation method and the second derived from Australian adolescents utilising the best-worst scaling (BWS) method.ResultsIt was found that CHU9D utility scores discriminated well in relation to self-reported health status and that better health status was significantly associated with higher utility scores regardless of which scoring algorithm was employed (both pConclusionThe CHU9D-CHN shows promise for measuring and valuing the HRQoL of children and adolescents in China. Levels of self-reported physical activity, homework and sleep time were important influencers of utility scores.