N. Waugh, G. Scotland, P. Mcnamee, M. Gillett, A. Brennan et al., Screening for type 2 diabetes: literature review and economic modelling, Health Technology Assessment, vol.11, issue.17, pp.1-125, 2007.
DOI : 10.3310/hta11170

D. E. Study and . Group, Prescreening tools for diabetes and obesity-BMI, waist and waist hip ratio. The D, E.S.I.R. Study. Eur J Clin Nutr, vol.60, pp.295-304, 2006.

J. Lindström and J. Tuomilehto, The Diabetes Risk Score: A practical tool to predict type 2 diabetes risk, Diabetes Care, vol.26, issue.3, pp.725-731, 2003.
DOI : 10.2337/diacare.26.3.725

T. Saaristo, M. Peltonen, J. Lindström, L. Saarikoski, J. Sundvall et al., Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify undetected type 2 diabetes, abnormal glucose tolerance and metabolic syndrome, Diabetes and Vascular Disease Research, vol.2, issue.2, pp.67-72, 2005.
DOI : 10.3132/dvdr.2005.011

M. Schmidt, B. Duncan, H. Bang, J. Pankow, C. Ballantyne et al., Identifying Individuals at High Risk for Diabetes: The Atherosclerosis Risk in Communities study, Diabetes Care, vol.28, issue.8, pp.2013-2018, 2005.
DOI : 10.2337/diacare.28.8.2013

W. Aekplakorn, P. Bunnag, M. Woodward, P. Sritara, S. Cheepudomwit et al., A Risk Score for Predicting Incident Diabetes in the Thai Population, Diabetes Care, vol.29, issue.8, pp.1872-1877, 2006.
DOI : 10.2337/dc05-2141

R. Simmons, A. Harding, N. Wareham, and S. Griffin, Do simple questions about diet and physical activity help to identify those at risk of Type 2 diabetes?, Diabetic Medicine, vol.310, issue.8, pp.830-835, 2007.
DOI : 10.2337/diacare.27.1.116

M. Schulze, K. Hoffmann, H. Boeing, J. Linseisen, S. Rohrmann et al., An Accurate Risk Score Based on Anthropometric, Dietary, and Lifestyle Factors to Predict the Development of Type 2 Diabetes, Diabetes Care, vol.30, issue.3, pp.510-515, 2007.
DOI : 10.2337/dc06-2089

M. Stern, K. Williams, and S. Haffner, Identification of Persons at High Risk for Type 2 Diabetes Mellitus: Do We Need the Oral Glucose Tolerance Test?, Annals of Internal Medicine, vol.136, issue.8, pp.575-581, 2002.
DOI : 10.7326/0003-4819-136-8-200204160-00006

P. Wilson, J. Meigs, L. Sullivan, C. Fox, D. Nathan et al., Prediction of Incident Diabetes Mellitus in Middle-aged Adults, Archives of Internal Medicine, vol.167, issue.10, pp.1068-1074, 2007.
DOI : 10.1001/archinte.167.10.1068

P. Lecomte, S. Vol, E. Caces, C. Born, C. Chabrolle et al., Five-year predictive factors of??type 2??diabetes in??men with impaired fasting glucose, Diabetes & Metabolism, vol.33, issue.2, pp.140-147, 2007.
DOI : 10.1016/j.diabet.2006.11.009

W. Rathmann, S. Martin, B. Haastert, A. Icks, R. Holle et al., Performance of Screening Questionnaires and Risk Scores for Undiagnosed Diabetes, Archives of Internal Medicine, vol.165, issue.4, pp.436-441, 2000.
DOI : 10.1001/archinte.165.4.436

C. Glümer, D. Vistisen, K. Borch-johnsen, and S. Colagiuri, Risk Scores for Type 2 Diabetes Can Be Applied in Some Populations but Not All, Diabetes Care, vol.29, issue.2, pp.410-414, 2006.
DOI : 10.2337/diacare.29.02.06.dc05-0945

S. Czernichow, A. Couthouis, S. Bertrais, A. Vergnaud, L. Dauchet et al., Antioxidant supplementation does not affect fasting plasma glucose in the Supplementation with Antioxidant Vitamins and Minerals (SU.VI.MAX) study in France: association with dietary intake and plasma concentrations, Am J Clin Nutr, vol.84, pp.395-399, 2006.

M. Vaxillaire, J. Veslot, C. Dina, C. Proença, S. Cauchi et al., Study Group: Impact of Common Type 2 Diabetes Risk Polymorphisms in the D, E.S.I.R. Prospective Study. Diabetes, vol.57, pp.244-254, 2008.

D. Conen, P. Ridker, S. Mora, J. Buring, and R. Glynn, Blood pressure and risk of developing type