4.6 Article

The Short-Form Six-Dimension utility index predicted mortality in the European Prospective Investigation into Cancer-Norfolk prospective population-based study

期刊

JOURNAL OF CLINICAL EPIDEMIOLOGY
卷 63, 期 2, 页码 192-198

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jclinepi.2009.05.002

关键词

Short-Form 6-Dimension; UK Short-Form 36; Mortality; Health-related quality of life (HRQoL); Preference-based HRQoL; Utility index

资金

  1. Cancer Research UK
  2. Medical Research Council [G0300128]
  3. Medical Research Council [MC_U105630924, MC_U106179471, G0300128, G0401527] Funding Source: researchfish
  4. MRC [G0300128, MC_U105630924] Funding Source: UKRI

向作者/读者索取更多资源

Objective: To examine the relationship between the Short-Form Six-Dimension (SF-6D) and mortality. Study Design and Setting: Participants were 17,736 men and women aged 40-79 years at baseline who lived in Norfolk, UK, and had no known cardiovascular disease or cancer, and completed the anglicized Short-Form 36 (SF-36)-item during 1996-2000 in the European Prospective Investigation into Cancer-Norfolk prospective population study. The SF-36 data were converted to SF-6D. The relationship between SF-6D and all-cause and cause-specific mortality were examined. Results: One thousand and seventy deaths occurred during a total of H 5,255 person years of follow-up (mean 6.5 years). Lower SF-6D was associated with increased risk of all-cause mortality in men and women. A decrease of I standard deviation (0.12 point) in SF-6D was associated with a 35% increase in all-cause mortality (hazards ratio = 1.35; 95% CI: 1.26, 1.45) after controlling for age, gender, body mass index, systolic blood pressure, cholesterol, diabetes, smoking, and social class. Similar results were observed for cardiovascular, cancer, and other causes of deaths. Conclusion: Poor health utility measured by the SF-6D predicted increased fisk of all-cause and cause-specific mortality in men and women. The present study provides the first evidence of the sensitivity of the SF-6D in predicting mortality in an apparently healthy population. (C) 2010 Elsevier Inc. All rights reserved.

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