PuSH - Publikationsserver des Helmholtz Zentrums München: A more simplified Finnish diabetes risk score for opportunistic screening of undiagnosed type 2 diabetes in a German population with a family history of the metabolic syndrome.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

EVA: Veröffentlichen

Neuer EVA Antrag

Recherche

Erweiterte Suche

Durchblättern nach ...

... HMGU-Autoren/Konsortien

... Organisationsstruktur

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Arbeitsgruppen

... Erscheinungsjahr

Publikationen im Überblick

Statistik

HGF Fortschrittsbericht

OA Publikationen

Eintragen

Neue Publikation eintragen

Neue Publikation holen aus...

...EVA

Fehlende Publikation melden

Highlights

Suche

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Helmholtz Open Science

Bibliometrische Indikatoren

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Li, J.* ; Bergmann, A.* ; Reimann, M.* ; Bornstein, S.R.* ; Schwarz, P.E.*

A more simplified Finnish diabetes risk score for opportunistic screening of undiagnosed type 2 diabetes in a German population with a family history of the metabolic syndrome.

Horm. Metab. Res. 41, 98-103 (2009)

DOI

PMC

Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.

Abstract
Metriken
Zusatzinfos

The aim of the present study was to evaluate the performance of the Finnish diabetes risk score (FINDRISC) for identifying undiagnosed type 2 diabetes in a German population and to develop a more simplified alternative model. We invited 921 individuals with a family history of the metabolic syndrome in a cross-sectional survey. Of these, 771 subjects completed the FINDRISC questionnaire and underwent an oral glucose tolerance test. The performance of the FINDRISC was assessed using the area under the receiver operating characteristics curve (ROC-AUC). The ROC-AUC of the FINDRISC was 0.81 (0.76-0.87). We detected no difference in diabetes prevalence between individuals with or without a family history of diabetes. Two logistic regression models (continuous- and categorical-model) were developed using the diagnosis of diabetes as the dependent variable, and age, body mass index (BMI), waist circumference, use of blood pressure medication, and history of high blood glucose as independent variables. After stepwise backward elimination of the insignificant variables, the following variables remained: age, BMI, and history of high blood glucose. The ROC-AUCs for the continuous- and categorical-models were 0.88 (0.85-0.92) and 0.86 (0.82-0.90), respectively, and were significantly larger than the ROC-AUC of the FINDRISC. There was no significant difference between the ROC-AUC of fasting plasma glucose and those of the two regression models. The FINDRISC questionnaire can be used to identify undetected diabetes in a German population. The simplified version, the categorical-model, may be a useful alternative for identifying asymptomatic type 2 diabetes.

Impact Factor

Scopus SNIP

Scopus
Cited By

Altmetric

0.780