Prediction of 4-year incident diabetes in older Chinese: Recalibration of the Framingham diabetes score on Guangzhou Biobank Cohort Study

Preventive Medicine

Volumn 69, Issue , 2014, Pages 63-68

  Xu, L ^a   Jiang, C Q ^b   Schooling, C M ^a,d   Zhang, W S ^b   Cheng, K K ^c   Lam, T H ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b Guangzhou No 12 Hospital   (China)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^d CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

Chinese; Diabetes mellitus; Diagnosis; Framingham diabetes score; Recalibration; Type 2

Indexed keywords

GLUCOSE; HIGH DENSITY LIPOPROTEIN; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

ADULT; ARTICLE; BLOOD PRESSURE; BODY MASS; CHINESE; DIABETES MELLITUS; FEMALE; FRAMINGHAM RISK SCORE; HUMAN; INCIDENCE; MAJOR CLINICAL STUDY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; RISK ASSESSMENT; SEX DIFFERENCE; WAIST CIRCUMFERENCE; WAIST HIP RATIO; AGE; AGED; ASIAN CONTINENTAL ANCESTRY GROUP; CHINA; COHORT ANALYSIS; DIABETES MELLITUS, TYPE 2; MIDDLE AGED; PROCEDURES; STATISTICAL MODEL; VALIDATION STUDY;

AGE FACTORS; AGED; ASIAN CONTINENTAL ANCESTRY GROUP; CHINA; COHORT STUDIES; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; INCIDENCE; MALE; MIDDLE AGED; MODELS, STATISTICAL; RISK ASSESSMENT;

EID: 84907502512     PISSN: 00917435     EISSN: 10960260     Source Type: Journal    
DOI: 10.1016/j.ypmed.2014.09.004     Document Type: Article

References (32)

1. Baan C.A., Ruige J.B., Stolk R.P., et al. Performance of a predictive model to identify undiagnosed diabetes in a health care setting. Diabetes Care 1999, 22:213-219.
2. Cheng C.H., Ho C.C., Yang C.F., Huang Y.C., Lai C.H., Liaw Y.P. Waist-to-hip ratio is a better anthropometric index than body mass index for predicting the risk of type 2 diabetes in Taiwanese population. Nutr. Res. 2010, 30:585-593.
3. Chien K., Cai T., Hsu H., et al. A prediction model for type 2 diabetes risk among Chinese people. Diabetologia 2009, 52:443-450.
4. Gao W.G., Dong Y.H., Pang Z.C., et al. A simple Chinese risk score for undiagnosed diabetes. Diabet. Med. 2010, 27:274-281.
5. Glumer C., Carstensen B., Sandbaek A., et al. A Danish diabetes risk score for targeted screening: the Inter99 study. Diabetes Care 2004, 27:727-733.
6. Gray L.J., Taub N.A., Khunti K., et al. The Leicester Risk Assessment score for detecting undiagnosed Type 2 diabetes and impaired glucose regulation for use in a multiethnic UK setting. Diabet. Med. 2010, 27:887-895.
7. Guasch-Ferre M., Bullo M., Costa B., et al. A risk score to predict type 2 diabetes mellitus in an elderly Spanish Mediterranean population at high cardiovascular risk. PLoS One 2012, 7:e33437.
8. Hippisley-Cox J., Coupland C., Robson J., Sheikh A., Brindle P. Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ 2009, 338:b880.
9. Hogan J.W., Roy J., Korkontzelou C. Handling drop-out in longitudinal studies. Stat. Med. 2004, 23:1455-1497.
10. Hu E.A., Pan A., Malik V., Sun Q. White rice consumption and risk of type 2 diabetes: meta-analysis and systematic review. BMJ 2012, 344:e1454.
11. International Diabetes Federation IDF diabetes atlas 2013, International Diabetes Federation, Brussels, Belgium, (http://www.idf.org/diabetesatlas). 6th edn.
12. Jiang C., Thomas G.N., Lam T.H., et al. Cohort profile: The Guangzhou Biobank Cohort Study, a Guangzhou-Hong Kong-Birmingham collaboration. Int. J. Epidemiol. 2006, 35:844-852.
13. Ko G., So W., Tong P., et al. A simple risk score to identify Southern Chinese at high risk for diabetes. Diabet. Med. 2010, 27:644-649.
14. Koopman R.J., Mainous A.G., Diaz V.A., Geesey M.E. Changes in age at diagnosis of type 2 diabetes mellitus in the United States, 1988 to 2000. Ann. Fam. Med. 2005, 3:60-63.
15. Lindstrom J., Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care 2003, 26:725-731.
16. Liu J., Hong Y., D'Agostino R.B., et al. Predictive value for the Chinese population of the Framingham CHD risk assessment tool compared with the Chinese Multi-Provincial Cohort Study. JAMA 2004, 291:2591-2599.
17. Liu M., Pan C., Jin M. A Chinese diabetes risk score for screening of undiagnosed diabetes and abnormal glucose tolerance. Diabetes Technol. Ther. 2011, 13:501-507.
18. Makrilakis K., Liatis S., Grammatikou S., et al. Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece. Diabetes Metab. 2011, 37:144-151.
19. McNeely M.J., Boyko E.J., Leonetti D.L., Kahn S.E., Fujimoto W.Y. Comparison of a clinical model, the oral glucose tolerance test, and fasting glucose for prediction of type 2 diabetes risk in Japanese Americans. Diabetes Care 2003, 26:758-763.
20. Morrison J.L., Duffield J.A., Muhlhausler B.S., Gentili S., McMillen I.C. Fetal growth restriction, catch-up growth and the early origins of insulin resistance and visceral obesity. Pediatr. Nephrol. 2010, 25:669-677.
21. Pan C., Shang S., Kirch W., Thoenes M. Burden of diabetes in the adult Chinese population: a systematic literature review and future projections. Int. J. Gen. Med. 2010, 3:173-179.
22. Park P.J., Griffin S.J., Sargeant L., Wareham N.J. The performance of a risk score in predicting undiagnosed hyperglycemia. Diabetes Care 2002, 25:984-988.
23. Ramachandran A., Snehalatha C., Vijay V., Wareham N.J., Colagiuri S. Derivation and validation of diabetes risk score for urban Asian Indians. Diabetes Res. Clin. Pract. 2005, 70:63-70.
24. Ramachandran A., Snehalatha C., Mary S., et al. The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia 2006, 49:289-297.
25. Schooling C.M., Jiang C., Zhang W., Lam T.H., Cheng K.K., Leung G.M. Adolescent build and diabetes: the Guangzhou Biobank Cohort Study. Ann. Epidemiol. 2011, 21:61-66.
26. Stern M.P., Williams K., Haffner S.M. Identification of persons at high risk for type 2 diabetes mellitus: do we need the oral glucose tolerance test?. Ann. Intern. Med. 2002, 136:575-581.
27. Sullivan L.M., Massaro J.M., D'Agostino R.B. Presentation of multivariate data for clinical use: The Framingham Study risk score functions. Stat. Med. 2004, 23:1631-1660.
28. Sun F., Tao Q., Zhan S. An accurate risk score for estimation 5-year risk of type 2 diabetes based on a health screening population in Taiwan. Diabetes Res. Clin. Pract. 2009, 85:228-234.
29. Thomas C., Hypponen E., Power C. Type 2 diabetes mellitus in midlife estimated from the Cambridge Risk Score and body mass index. Arch. Intern. Med. 2006, 166:682-688.
30. Tuomilehto J., Lindstrom J., Eriksson J.G., et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N. Engl. J. Med. 2001, 344:1343-1350.
31. Wilson P.W., Meigs J.B., Sullivan L., Fox C.S., Nathan D.M., D'Agostino R.B. Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch. Intern. Med. 2007, 167:1068-1074.
32. Wu D.M., Pai L., Chu N.F., et al. Prevalence and clustering of cardiovascular risk factors among healthy adults in a Chinese population: the MJ Health Screening Center Study in Taiwan. Int. J. Obes. Relat. Metab. Disord. 2001, 25:1189-1195.