Performance of a predictive model to identify undiagnosed diabetes in a health care setting

OBJECTIVE: To develop a predictive model to identify individuals with an increased risk for undiagnosed diabetes, allowing for the availability of information within the health care system. RESEARCH DESIGN AND METHODS: A sample of participants from the Rotterdam Study (n = 1,016), aged 55-75 years, not known to have diabetes completed a questionnaire on diabetes-related symptoms and risk factors and underwent a glucose tolerance test. Predictive models were developed using stepwise logistic regression analyses with the absence or presence of newly diagnosed diabetes as the dependent variable a... Mehr ...

Verfasser: Baan, C.A. (Caroline)
Ruige, J.B.
Stolk, R.P. (Ronald)
Witteman, J.C.M. (Jacqueline)
Dekker, J.M. (Jacqueline)
Heine, R.J. (Robert)
Feskens, E.J.M. (Edith)
Dokumenttyp: Artikel
Erscheinungsdatum: 1999
Schlagwörter: *Family Practice / *Models / Statistical / Aged / Diabetes Mellitus/diagnosis/*epidemiology / Humans / Hyperinsulinism/diagnosis/*epidemiology / Medical Records / Middle Aged / Netherlands/epidemiology / Prevalence / Regression Analysis / Research Support / U.S. Gov't / P.H.S / Risk Factors
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26833267
Datenquelle: BASE; Originalkatalog
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Link(s) : http://repub.eur.nl/pub/9105