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 ...
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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 |
Powered By: | BASE |
Link(s) : | http://repub.eur.nl/pub/9105 |