The Utility of Diabetes Risk Score Items as Predictors of Incident Type 2 Diabetes in Asian Populations: An Evidence-Based Review
Highlights • Risk scores that included laboratory measurements generally had better discrimination. • Coefficient analysis identified eleven strong predictors: family history of diabetes, age, gender, smoking status, body mass index, waist circumference, hypertension, fasting plasma glucose, HbA1c,...
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Veröffentlicht in: | Diabetes research and clinical practice 2016-12, Vol.122, p.179-189 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Highlights • Risk scores that included laboratory measurements generally had better discrimination. • Coefficient analysis identified eleven strong predictors: family history of diabetes, age, gender, smoking status, body mass index, waist circumference, hypertension, fasting plasma glucose, HbA1c, HDL-cholesterol and triglycerides. • Fasting glucose and HbA1c having the greatest impact on the risk score; followed by family history, age and waist circumference. |
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ISSN: | 0168-8227 1872-8227 |
DOI: | 10.1016/j.diabres.2016.10.019 |