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Cited by 372

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

An Accurate Risk Score Based on Anthropometric, Dietary, and Lifestyle Factors to Predict the Development of Type 2 Diabetes

Open access
Schulze, Matthias B., Hoffmann, Kurt, Boeing, Heiner, Linseisen, Jakob, Rohrmann, Sabine, Möhlig, Matthias, Pfeiffer, Andreas F.H., Spranger, Joachim, Thamer, Claus, Häring, Hans-Ulrich, Fritsche, Andreas, Joost, Hans-Georg·2007·Diabetes Care
DOI 10.2337/dc06-2089
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Abstract

OBJECTIVE—We aimed to develop a precise risk score for the screening of large populations for individuals at high risk of developing type 2 diabetes based on noninvasive measurements of major risk factors in German study populations. RESEARCH DESIGN AND METHODS—A prospective cohort study (European Prospective Investigation into Cancer and Nutrition [EPIC]-Potsdam study) of 9,729 men and 15,438 women aged 35–65 years was used to derive a risk score predicting incident type 2 diabetes. Multivariate Cox regression model coefficients were used to weigh each variable in the calculation of the score. Data from the EPIC-Heidelberg, the Tübingen Family Study for Type 2 Diabetes (TÜF), and the Metabolic Syndrome Berlin Potsdam (MeSyBePo) study were used to validate this score. RESULTS—Information on age, waist circumference, height, history of hypertension, physical activity, smoking, and consumption of red meat, whole-grain bread, coffee, and alcohol formed the German Diabetes Risk Score (mean 446 points [range 118–983]). The probability of developing diabetes within 5 years in the EPIC-Potsdam study increased from 0.3% for 300 to 23.2% for 750 score points. The area under the receiver-operator characteristic (ROC) curve was 0.84 in the EPIC-Potsdam and 0.82 in the EPIC-Heidelberg studies. Correlation coefficients between the German Diabetes Risk Score and insulin sensitivity in nondiabetic individuals were −0.56 in the TÜF and −0.45 in the MeSyBePo studies. ROC values for undiagnosed diabetes were 0.83 in the TÜF and 0.75 in the MeSyBePo studies. CONCLUSIONS—The German Diabetes Risk Score (available at www.dife.de) is an accurate tool to identify individuals at high risk for or with undiagnosed type 2 diabetes.

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Metadata

Authors
Schulze, M. B., Hoffmann, K., Boeing, H., Linseisen, J., Rohrmann, S., Möhlig, M., Pfeiffer, A. F. H., Spranger, J., Thamer, C., Häring, H.-U., Fritsche, A., & Joost, H.-G.
Venue
Diabetes Care
Publisher
American Diabetes Association
Published
2007-03-01
Volume
30
Issue
3
Pages
510-515
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
DOI
10.2337/dc06-2089
OpenAlex
W2134646525
Cited by
372
References
13
FWCI
18.55
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: An Accurate Risk Score Based on Anthropometric, Dietary, and Lifestyle Factors to Predict the Development of Type 2 Diabetes. https://app.cochat.ai/papers/10.2337/dc06-2089
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Schulze, M. B., Hoffmann, K., Boeing, H., Linseisen, J., Rohrmann, S., Möhlig, M., Pfeiffer, A. F. H., Spranger, J., Thamer, C., Häring, H.-U., Fritsche, A., & Joost, H.-G. (2007). An Accurate Risk Score Based on Anthropometric, Dietary, and Lifestyle Factors to Predict the Development of Type 2 Diabetes. Diabetes Care. https://doi.org/10.2337/dc06-2089

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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