JOURNAL ARTICLE

Normative Data for the Singapore English and Chinese SF-36 Version 2 Health Survey

Wei Ting Sow, Hwee Lin Wee, Yi Wu, E-Shyong Tai, Barbara Gandek, Jeannette Lee, Stefan Ma, Derrick Heng, Julian Thumboo
Annals of the Academy of Medicine, Singapore 2014, 43 (1): 15-23
24557461

INTRODUCTION: The aim of this study is to report normative data for the Short-Form 36 version 2 (SF-36v2) for assessing health-related quality of life, in the Singapore general population.

MATERIALS AND METHODS: Data for English and Chinese-speaking participants of the Singapore Prospective Study Programme were analysed. The SF-36v2 scores were norm-based with the English-speaking Singapore general population as reference and reported by age (in decades), gender and ethnicity as well as for the 5 most prevalent chronic medical conditions. Scores were reported separately for the English and Chinese language versions.

RESULTS: A total of 6151 English-speaking (61.5% Chinese and 19.2% Malay) and 1194 Chinese-speaking participants provided complete data. Mean (SD) age of all participants was 49.6 (12.58) years with 52.4% being women. In both languages, women reported lower scores than men on all scales. Among the chronic medical conditions, stroke had the largest impact on all English SF-36v2 scales and on 3 Chinese SF-36v2 scales (role-physical, general health and social functioning).

CONCLUSION: We have provided detailed normative data for the Singapore English and Chinese SF-36v2, which would be valuable in furthering HRQoL research in Singapore and possibly the region.

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