Literature DB >> 12610034

Comparison of a clinical model, the oral glucose tolerance test, and fasting glucose for prediction of type 2 diabetes risk in Japanese Americans.

Marguerite J McNeely1, Edward J Boyko, Donna L Leonetti, Steven E Kahn, Wilfred Y Fujimoto.   

Abstract

OBJECTIVE: To test the validity of a published clinical model for predicting incident diabetes in Japanese Americans. RESEARCH DESIGN AND METHODS: A total of 465 nondiabetic Japanese Americans (243 men, 222 women), aged 34-75 years, were studied at baseline and at 5-6 years. A total of 412 subjects were studied at 10 years. The clinical model included age, sex, ethnicity, BMI, systolic blood pressure, fasting plasma glucose (FPG), HDL cholesterol, and family history of diabetes at baseline. Diabetes status at 5-6 and 10 years was determined by 75-g oral glucose tolerance test. The clinical model, 2-h glucose, and FPG were compared using receiver-operating characteristic (ROC) curves. RESULTS-The diabetes risk associated with BMI, sex, and HDL cholesterol differed by age (P <or= 0.011). At 5-6 years, the clinical model ROC curve area (0.896) was higher than that for FPG (0.776, P = 0.008), but not for 2-h glucose (0.851, P = 0.341), for subjects aged <or=55 years. For older subjects, the clinical model ROC curve area (0.599) was lower than that for 2-h glucose (0.792, P <or= 0.001), but not for FPG (0.627, P = 0.467). At 10 years, there were no significant differences between the clinical model, FPG, and 2-h glucose ROC curve areas in either age group.
CONCLUSIONS: In Japanese Americans aged <or=55 years, a clinical model was better than FPG for predicting diabetes after 5-6 years but not after 10 years. The model was not useful in older Japanese Americans, whereas 2-h glucose was useful for predicting diabetes risk regardless of age.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12610034     DOI: 10.2337/diacare.26.3.758

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  31 in total

1.  The lack of utility of circulating biomarkers of inflammation and endothelial dysfunction for type 2 diabetes risk prediction among postmenopausal women: the Women's Health Initiative Observational Study.

Authors:  Chun Chao; Yiqing Song; Nancy Cook; Chi-Hong Tseng; JoAnn E Manson; Charles Eaton; Karen L Margolis; Beatriz Rodriguez; Lawrence S Phillips; Lesley F Tinker; Simin Liu
Journal:  Arch Intern Med       Date:  2010-09-27

2.  An algorithm to predict risk of type 2 diabetes in Turkish adults: contribution of C-reactive protein.

Authors:  A Onat; G Can; H Yüksel; E Ayhan; Y Dogan; G Hergenç
Journal:  J Endocrinol Invest       Date:  2010-10-27       Impact factor: 4.256

3.  San Antonio heart study diabetes prediction model applicable to a Middle Eastern population? Tehran glucose and lipid study.

Authors:  Mohammadreza Bozorgmanesh; Farzad Hadaegh; Azadeh Zabetian; Fereidoun Azizi
Journal:  Int J Public Health       Date:  2010-03-09       Impact factor: 3.380

4.  Type 2 diabetes risk in persons with dysglycemia: the Framingham Offspring Study.

Authors:  Peter W F Wilson; Ralph B D'Agostino; Caroline S Fox; Lisa M Sullivan; James B Meigs
Journal:  Diabetes Res Clin Pract       Date:  2011-01-15       Impact factor: 5.602

5.  The relative importance of modifiable potential risk factors of type 2 diabetes: a meta-analysis of two cohorts.

Authors:  Maarit A Laaksonen; Paul Knekt; Harri Rissanen; Tommi Härkänen; Esa Virtala; Jukka Marniemi; Arpo Aromaa; Markku Heliövaara; Antti Reunanen
Journal:  Eur J Epidemiol       Date:  2009-12-13       Impact factor: 8.082

6.  A prediction model for type 2 diabetes risk among Chinese people.

Authors:  K Chien; T Cai; H Hsu; T Su; W Chang; M Chen; Y Lee; F B Hu
Journal:  Diabetologia       Date:  2008-12-05       Impact factor: 10.122

7.  Fasting versus postload plasma glucose concentration and the risk for future type 2 diabetes: results from the Botnia Study.

Authors:  Muhammad A Abdul-Ghani; Valeriya Lyssenko; Tiinamaija Tuomi; Ralph A DeFronzo; Leif Groop
Journal:  Diabetes Care       Date:  2008-11-18       Impact factor: 19.112

8.  Prediction model for high glycated hemoglobin concentration among ethnic Chinese in Taiwan.

Authors:  Kuo-Liong Chien; Hung-Ju Lin; Bai-Chin Lee; Hsiu-Ching Hsu; Ming-Fong Chen
Journal:  Cardiovasc Diabetol       Date:  2010-09-27       Impact factor: 9.951

9.  Far from easy and accurate - detection of metabolic syndrome by general practitioners.

Authors:  Eeva-Eerika Helminen; Pekka Mäntyselkä; Irma Nykänen; Esko Kumpusalo
Journal:  BMC Fam Pract       Date:  2009-11-30       Impact factor: 2.497

Review 10.  Plasma glucose concentration and prediction of future risk of type 2 diabetes.

Authors:  Muhammad A Abdul-Ghani; Ralph A DeFronzo
Journal:  Diabetes Care       Date:  2009-11       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.