Psychometric Properties of the Chinese Version of the SF-36 in Older Adults with Diabetes in Beijing, China.

Jie Hu, Kenneth J. Gruber, Kuei-Hsiang Hsueh

Research output: Contribution to journalArticlepeer-review

Abstract

Objective
This study investigated the  psychometric  properties of the  36-item Short-Form Health Survey  (SF-36) (China version) in older Chinese with  diabetes  living in Beijing, China.
Methods
The  SF-36  was administered to community-based sample of 182 older adults with diabetes living in Beijing. Data collection was conducted in face-to-face interviews. Reliability and validity were assessed using internal consistency, convergent and discriminant analyses. Exploratory principal components analyses (PCA) were conducted to compare the sample's response patterns with the hypothesized scale constructs.
Results
Item level validation of the scale supported the assumptions of the hypothesized structure. Internal consistency reliability (Cronbach's alpha >.70) of the subscales were acceptable except for the General Health subscale (.67). PCA confirmed general support of the two hypothesized dimensional factors and eight concepts (factors). The physical component summary (PCS) and the mental component summary (MCS) explained 62.26% of the variance and the eight factors components explained 67.39% of the variance. Known-group comparisons of scale scores indicated significantly higher levels of functionality for respondents with no blood pressure, heart, or depressive  symptomatology  problems.
Conclusions
The Chinese version of the SF-36 showed good reliability and validity and was culturally equivalent. The scale is appropriate for use with older Chinese adults with diabetes.
Original languageAmerican English
JournalDiabetes Research and Clinical Practice
Volume88
DOIs
StatePublished - Jun 1 2010

Keywords

  • Diabetes
  • Health-related quality of life
  • Older Chinese adults
  • Psychometrics
  • SF-36

Disciplines

  • Medicine and Health Sciences
  • Endocrinology
  • Psychiatry
  • Statistics and Probability
  • Internal Medicine

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