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Classification models for early identification of persons at risk for dementia in primary care: an evaluation in a sample aged 80 years and older.

van den Kommer, Tessa N (author)
Bontempo, Daniel E (author)
Comijs, Hannie C (author)
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Hofer, Scott M (author)
Dik, Miranda G (author)
Piccinin, Andrea M (author)
Jonker, Cees (author)
Deeg, Dorly J H (author)
Johansson, Boo (author)
Gothenburg University,Göteborgs universitet,Psykologiska institutionen,Department of Psychology
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 (creator_code:org_t)
2010-01-06
2009
English.
In: Dementia and geriatric cognitive disorders. - : S. Karger AG. - 1421-9824 .- 1420-8008. ; 28:6, s. 567-577
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • AIM: To evaluate previously developed classification models to make implementation in primary care possible and aid early identification of persons at risk for dementia. METHODS: Data were drawn from the OCTO-Twin study. At baseline, 521 persons >or= 80 years of age were nondemented, and for 387 a blood sample was available. Predictors of dementia were collected and analyzed in initially nondemented persons using generalized estimating equations and Cox survival analyses. RESULTS: In the basic model using predictors already known or easily obtained (basic set), the mean 2-year predictive value increased from 6.9 to 28.8% in persons with memory complaints and an MMSE score

Subject headings

SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology (hsv//eng)

Keyword

Aged
80 and over
psychology
Alcohol Drinking
epidemiology
Biological Markers
Cost-Benefit Analysis
Data Interpretation
Statistical
Dementia
classification
diagnosis
economics
Depression
psychology
Diabetes Mellitus
psychology
Female
Humans
Longitudinal Studies
Male
Memory Disorders
diagnosis
psychology
Models
Statistical
Neuropsychological Tests
Primary Health Care
Prognosis
Psychiatric Status Rating Scales
Risk Assessment
classification
methods
statistics & numerical data
Smoking
psychology
Sweden
epidemiology
Twin Studies as Topic

Publication and Content Type

ref (subject category)
art (subject category)

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