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The choice of self-rated health measures matter when predicting mortality: evidence from 10 years follow-up of the Australian longitudinal study of ageing

dc.contributor.authorSargent-Cox, Kerry A
dc.contributor.authorLuszcz, Mary A
dc.contributor.authorAnstey, Kaarin
dc.date.accessioned2016-01-15T00:00:45Z
dc.date.available2016-01-15T00:00:45Z
dc.date.issued2010-04-20
dc.date.updated2016-02-24T08:15:30Z
dc.description.abstractBACKGROUND Self-rated health (SRH) measures with different wording and reference points are often used as equivalent health indicators in public health surveys estimating health outcomes such as healthy life expectancies and mortality for older adults. Whilst the robust relationship between SRH and mortality is well established, it is not known how comparable different SRH items are in their relationship to mortality over time. We used a dynamic evaluation model to investigate the sensitivity of time-varying SRH measures with different reference points to predict mortality in older adults over time. METHODS We used seven waves of data from the Australian Longitudinal Study of Ageing (1992 to 2004; N = 1733, 52.6% males). Cox regression analysis was used to evaluate the relationship between three time-varying SRH measures (global, age-comparative and self-comparative reference point) with mortality in older adults (65+ years). RESULTS After accounting for other mortality risk factors, poor global SRH ratings increased mortality risk by 2.83 times compared to excellent ratings. In contrast, the mortality relationship with age-comparative and self-comparative SRH was moderated by age, revealing that these comparative SRH measures did not independently predict mortality for adults over 75 years of age in adjusted models. CONCLUSIONS We found that a global measure of SRH not referenced to age or self is the best predictor of mortality, and is the most reliable measure of self-perceived health for longitudinal research and population health estimates of healthy life expectancy in older adults. Findings emphasize that the SRH measures are not equivalent measures of health status.
dc.description.sponsorshipThis study was funded by the South Australian Health Commission, the Australian Rotary Health Research Fund, the US National Institute of Health (Grant No. AG 08523-02) and the National Health and Medical Research Council (NHMRC; Grant No.229936). KJA is supported by NHMRC Fellowship No.366756.en_AU
dc.identifier.issn1471-2318en_AU
dc.identifier.urihttp://hdl.handle.net/1885/95404
dc.publisherBioMed Central
dc.relationhttp://purl.org/au-research/grants/nhmrc/229936
dc.relationhttp://purl.org/au-research/grants/nhmrc/366756
dc.rights© Sargent-Cox et al. 2010 This article is published under license to 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 cited.
dc.sourceBMC Geriatrics
dc.subjectage factors
dc.subjectaged
dc.subjectaged, 80 and over
dc.subjectaustralia
dc.subjectcohort studies
dc.subjectfemale
dc.subjectfollow-up studies
dc.subjecthumans
dc.subjectlongitudinal studies
dc.subjectmale
dc.subjectmortality
dc.subjectpredictive value of tests
dc.subjectaging
dc.subjectchoice behavior
dc.subjecthealth status
dc.subjecthealth surveys
dc.subjectself concept
dc.titleThe choice of self-rated health measures matter when predicting mortality: evidence from 10 years follow-up of the Australian longitudinal study of ageing
dc.typeJournal article
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.startpage18en_AU
local.contributor.affiliationSargent-Cox, Kerry, College of Medicine, Biology and Environment, CMBE Research School of Population Health, National Institute for Mental Health Research, The Australian National Universityen_AU
local.contributor.affiliationAnstey, Kaarin, College of Medicine, Biology and Environment, CMBE Research School of Population Health, National Institute for Mental Health Research, The Australian National Universityen_AU
local.contributor.affiliationLuszcz, Mary A, Flinders University, Australiaen_AU
local.contributor.authoruidu4151698en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor119900en_AU
local.identifier.absseo920401en_AU
local.identifier.ariespublicationf2965xPUB160en_AU
local.identifier.citationvolume10en_AU
local.identifier.doi10.1186/1471-2318-10-18en_AU
local.identifier.essn1471-2318en_AU
local.identifier.scopusID2-s2.0-77950927577
local.identifier.thomsonID000208731600018
local.publisher.urlhttp://www.biomedcentral.com/en_AU
local.type.statusPublished Versionen_AU

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