Loading...
Thumbnail Image
Publication

Examining the incremental impact of long-standing health conditions on subjective well-being alongside the EQ-5D

Wu, Mengjun
Abstract
BACKGROUND: Generic preference-based measures such as the EQ-5D and SF-6D have been criticised for being narrowly focused on a sub-set of dimensions of health. Our study aims to explore whether long-standing health conditions have an incremental impact on subjective well-being alongside the EQ-5D.
METHODS: Using data from the South Yorkshire Cohort study (N=13,591) collected between 2010 and 2012 on the EQ-5D, long-standing health conditions (self-reported), and subjective well-being measure--life satisfaction using a response scale from 0 (completely dissatisfied) to 10 (completely satisfied), we employed generalised logit regression models. We assessed the impact of EQ-5D and long-standing health conditions together on life satisfaction by examining the size and significance of their estimated odds ratios.
RESULTS: The EQ-5D had a significant association with life satisfaction, in which anxiety/depression and then self-care had the largest weights. Some long-standing health conditions were significant in some models, but most did not have an independent impact on life satisfaction. Overall, none of the health conditions had a consistent impact on life satisfaction alongside the EQ-5D.
CONCLUSIONS: Out study suggests that the impact of long-standing health conditions on life satisfaction is adequately captured by the EQ-5D, although the findings are limited by reliance on self-reported conditions and a single item life satisfaction measure.
MIDER Authors
Affiliations
Citations
Altmetric:
Date
2014
Type
Article
Citation
Wu, M., Brazier, J., Relton, C., Cooper, C., Smith, C. & Blackburn, J. (2014). Examining the incremental impact of long-standing health conditions on subjective well-being alongside the EQ-5D. Health and Quality of Life Outcomes, 12, pp.61.
Journal / Source Title
DOI
PMID
Publisher
Publisher’s URL
Publisher’s statement
Copyright © 2014 Wu et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Note / Copyright