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Quality of Life Research

Erschienen in:

01.11.2007

The predictive validity of health-related quality of life measures: mortality in a longitudinal population-based study

verfasst von: Mark S. Kaplan, Jean-Marie Berthelot, David Feeny, Bentson H. McFarland, Saeeda Khan, Heather Orpana

Erschienen in: Quality of Life Research | Ausgabe 9/2007

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Abstract

Objective

This study examined the association between health-related quality of life (HRQL) and mortality risk, and compared the predictive ability of Health Utilities Index Mark 3 (HUI3) with self-rated health (SRH).

Methods

Data were from the 1994/95 Canadian National Population Health Survey, consisting of 12,375 women and men aged 18 and older. Cox proportional hazards regression models were performed to estimate mortality risk over eight years.

Results

Mortality risks for people reporting good, fair, and poor health at baseline were, respectively, 1.44 (95% confidence interval [CI] 1.04, 2.00), 1.97 (1.35, 2.88), and 3.21 (2.08, 4.95) times greater than those who reported excellent health. In a model excluding SRH, the effect of HUI3 on mortality was strong and significant (HR = 0.47; 95%, 0.33, 0.67) when adjusted for possible confounders. When HUI3 and SRH were considered simultaneously, the effect of the HUI3 on mortality was somewhat attenuated, but still significant (HR = 0.61, 0.42, 0.89) after adjusting for potential confounders.

Conclusions

Although SRH is a modestly stronger predictor of mortality than HUI3, HUI3 adds to the mortality prediction ability of SRH.

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Titel: The predictive validity of health-related quality of life measures: mortality in a longitudinal population-based study
verfasst von: Mark S. Kaplan
Jean-Marie Berthelot
David Feeny
Bentson H. McFarland
Saeeda Khan
Heather Orpana
Publikationsdatum: 01.11.2007
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 9/2007
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-007-9256-7

Springer Medizin

Abstract

Objective

Methods

Results

Conclusions

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