Health related quality of life measured by SF-36: a population-based study in Shanghai, China

BMC Public Health. 2008 Aug 19:8:292. doi: 10.1186/1471-2458-8-292.

Abstract

Background: Health related quality of life (HRQL) is a research topic that has attracted increasing interests around the world over the past two decades. The 36-item Short Form (SF-36) is a commonly used instrument for measuring HRQL. However, the information on Chinese adults' quality of life is limited. This paper reports on the feasibility of using the Mandarin version of SF-36 to evaluate HRQL in the population of Shanghai, China.

Methods: A total of 1034 subjects were randomly sampled using a stratified multiple-stage sampling method in Shanghai. Demographic information was collected, and SF-36 was used to measure HRQL.

Results: Internal reliability coefficients were greater than 0.7 in six of the eight SF-36 dimensions, except social function and mental health. Intraclass correlation coefficients ranged from 0.689 to 0.972. Split-half reliability coefficients were higher than 0.9 in five SF-36 dimensions. Validity was assessed by factor analysis and correlation analysis. Our results were basically in accordance with the theoretical construction of SF-36. The average scores of most SF-36 dimensions were higher than 80. The primary influencing risk factors of HRQL included chronic diseases, age, frequency of activities, and geographical region, which were identified using multivariate stepwise regression.

Conclusion: Overall, HRQL in the population of Shanghai is quite good. The Mandarin version of SF-36 is a valid and reliable tool for assessing HRQL.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • China
  • Chronic Disease
  • Factor Analysis, Statistical
  • Feasibility Studies
  • Female
  • Health Status Indicators*
  • Humans
  • Language
  • Male
  • Middle Aged
  • Psychometrics / instrumentation*
  • Quality of Life*
  • Regression Analysis
  • Reproducibility of Results
  • Risk Factors
  • Surveys and Questionnaires*