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Do Proxy Evaluations of Health Status Predict Mortality

Bibliographic Data

ID12797243
AuthorsRene H Lawrence (New England Research Institutes, corresponding author), Susan F Assmann (New England Research Institutes)
Year1997
Volume9
Issue2
Pages185-203
Publication date1997-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Aging and Health (JOURNAL)
Journal identifiersISSN: 1552-6887 • E-ISSN: 0898-2643
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/089826439700900203
PMID10182403
OpenAlexW2136900183
LanguageEN
Citations received1
References cited26

The ability of self-evaluations of health to predict mortality remains despite efforts to explain their contribution. To further the understanding of global evaluations, this study investigated whether proxy evaluations of health status also predict mortality. Data from the Longitudinal Study of Aging were used. For men and women, the unadjusted odds ratios for proxy evaluations exhibited a monotone relationship to 3-year and 7-year mortality rates and were predictive of 7-year mortality. This monotone relationship remained even after controlling for other factors when predicting 7-year mortality rates. However, only the fair and poor evaluations were significant, and only for men. The adjusted relationship when predicting 3-year mortality was not completely monotone, although good and poor proxy evaluations were significant. This suggests that proxy evaluations are useful, and that there are aspects of health status that are currently unmeasured but that should lend themselves to being quantified

Logistic regression · Mortality rate · Odds · Proxy (statistics · Statistics · Demography · Health disparities and outcomes · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Mathematics · Medicine · Gerontology · Internal Medicine

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Unique citing works1
Citations per year0.04
Citation span1999 - 1999 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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