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          Institute: MPI für demografische Forschung     Collection: Publikationen des MPI für demografische Forschung     Display Documents



ID: 33768.0, MPI für demografische Forschung / Publikationen des MPI für demografische Forschung
Cognitive impairment and mortality among nonagenarians: the Danish 1905 cohort survey
Authors:Andersen, Kjeld; Christensen, Kaare; Vaupel, James W.; Jeune, Bernard; McGue, Matthew; Petersen, Hans C.; Gaist, David; Nybo, Hanne
Date of Publication (YYYY-MM-DD):2002-03
Title of Journal:Dementia Geriatric Cognitive Disorders
Volume:13
Issue / Number:3
Start Page:156
End Page:163
Review Status:not specified
Audience:Experts Only
Intended Educational Use:No
Abstract / Description:Cognitive impairment has been associated with increased mortality. Most studies, however, have only included small numbers, if at all, of the very old. In a large nationwide survey of all Danes born in 1905 and still alive in 1998, where the baseline examination was conducted, we examined the impact of cognitive impairment on mortality over a 2-year period. No cognitive impairment was defined as a score of 24-30 points on the Mini Mental State Examination, mild cognitive impairment was defined as a score of 18-23 points, and severe impairment was defined as a score of 0-17 points. Cox regression analysis was applied to adjust for a number of known and suspected factors known or suspected of being associated with cognition and mortality (e.g. sociodemographic factors, sex, smoking, alcohol consumption, depressive symptoms, and physical abilities), and yielded hazard ratios (95% confidence interval) of 1.24 (1.00-1.55) for mildly impaired and 1.73 (1.37-2.20) for severely impaired Danes compared to individuals with no impairment. Cognitive impairment predicts mortality among the very old, even after controlling for most known predictors of mortality. Copyright 2002 S. Karger AG, Basel
Last Change of the Resource (YYYY-MM-DD):2002
External Publication Status:published
Document Type:Article
Communicated by:N. N.
Affiliations:MPI für demografische Forschung
Identifiers:LOCALID:1300
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