Health related quality of life measured by SF-36: a population-based study in Shanghai, China
2008

Health Related Quality of Life in Shanghai, China

Sample size: 1034 publication Evidence: moderate

Author Information

Author(s): Wang Rui, Wu Cheng, Zhao Yanfang, Yan Xiaoyan, Ma Xiuqiang, Wu Meijing, Liu Wenbin, Gu Zheng, Zhao June, He Jia

Primary Institution: Second Military Medical University

Hypothesis

The study aims to test the reliability and validity of the Mandarin version of SF-36 and assess health related quality of life in the population of Shanghai.

Conclusion

The Mandarin version of SF-36 is a valid and reliable tool for assessing health related quality of life in Shanghai, and the overall quality of life in this population is quite good.

Supporting Evidence

  • The internal reliability coefficients were greater than 0.7 in six of the eight SF-36 dimensions.
  • Intraclass correlation coefficients ranged from 0.689 to 0.972.
  • Split-half reliability coefficients were higher than 0.9 in five SF-36 dimensions.
  • The average scores of most SF-36 dimensions were higher than 80.
  • Chronic diseases, age, frequency of activities, and geographical region were identified as primary influencing risk factors.

Takeaway

This study looked at how healthy people in Shanghai feel about their lives, and it found that most people feel pretty good.

Methodology

A total of 1034 subjects were randomly sampled using a stratified multiple-stage sampling method, and the SF-36 was used to measure health related quality of life.

Potential Biases

Potential bias from the interviewers' explanations and the inability to sample migrant workers.

Limitations

The study did not collect detailed information on non-responders, and the influence of interviewers' explanations on results could not be evaluated.

Participant Demographics

The sample included 509 females and 410 males, aged 18 to 77 years with a mean age of 47.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2458-8-292

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