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. 2011 May 27;33(1):46–62. doi: 10.1093/epirev/mxq019

Table 1.

Diabetes Risk Scores Developed in Populations Sampled Primarily From the General Population and Validated in External Populationsa

First Author, Year (Reference No.) Population, Country Variables Included in the Risk Scoreb Discriminationc
Atherosclerosis Risk in Communities Study Diabetes Risk Score, United States
Schmidt, 2005 (52) Atherosclerosis Risk in Communities study, United States Clinical model: age, ethnicity, parental history, systolic BP, WC, height 0.71
Clinical model + fasting glucose 0.78
Clinical model + fasting glucose, triglycerides, HDL cholesterol 0.80
Metabolic syndrome National Cholesterol Education Program–Third Adult Treatment Panel definition (1 point for each high WC, high triglycerides, low HDL cholesterol, high BP/antihypertensive use, high fasting glucose) 0.75
Augmented metabolic syndrome (1 point for each high WC, high triglycerides, low HDL cholesterol, high BP/antihypertensive use; 2 points for fasting glucose ≥5.6 mmol/L or 5 points for fasting glucose ≥6.1 mmol/L); 1 point for BMI ≥30 kg/m2) 0.78
Validation in external populations:
Mainous, 2007 (56) Coronary Artery Risk in Young Adults, United States Augmented metabolic syndrome: WC, triglycerides, HDL cholesterol, hypertension, fasting glucose, BMI (6/6) 0.70
Stern, 2008 (57) San Antonio Heart Study,United States Not reported in detail 0.870
Sun, 2009 (58) MJ Longitudinal health-check-up-based Population Database, Taiwan Age, ethnicity, family history, fasting glucose, systolic BP, WC, height (7/7) 0.84
Age, ethnicity, family history, fasting glucose, systolic BP, WC, height, triglycerides, HDL cholesterol (9/9) 0.84
Sun, 2009 (58) MJ Longitudinal health-check-up-based Population Database, Taiwan Age, ethnicity, family history, fasting glucose, systolic BP, WC, height (7/7) 0.83
Age, ethnicity, family history, fasting glucose, systolic BP, WC, height, triglycerides, HDL cholesterol (9/9) 0.83
Cambridge Diabetes Risk Score, United Kingdom
Griffin, 2000 (46) Population from general practices, United Kingdom Model for predicting undiagnosed diabetes: age, sex, BMI, smoking status, corticosteroid use, antihypertensive use, family history Independent sample: 0.80
Validation in external populations:
Simmons, 2007 (59) EPIC-Norfolk, United Kingdom Age, sex, prescribed antihypertensive medication, prescribed steroids, BMI, family history of diabetes, smoking (7/7) 0.76
Rahman, 2008 (60) EPIC-Norfolk, United Kingdom Age, sex, family history, smoking, prescribed antihypertensive medication, prescribed steroids, BMI (7/7) 0.745
Chien, 2009 (61) Cohort, China Not reported 0.581
Hippisley-Cox, 2009 (62) Cohort from general practices, United Kingdom Age, sex, BMI, smoking status, corticosteroid use, antihypertensive use, family history (7/7) Men: 0.801; women: 0.813
Data From an Epidemiological Study on the Insulin Resistance Syndrome Diabetes Risk Score, France (55)
Balkau, 2008 (55) Data from an Epidemiological Study on the Insulin Resistance syndrome, France Men: Clinical prediction model—current smoking, WC, hypertension 0.733
Men: Clinical and biologic model—current smoking, WC, fasting glucose, fasting glucose squared, gamma-glutamyltransferase 0.850
Men: above variables + risk alleles for transcription factor 7-like 2 and interleukin 6 0.851
Men: Integer clinical risk score of WC, current smoking, hypertension 0.713
Women: Clinical prediction model—family history, WC, hypertension 0.839
Women: Clinical and biologic model—family history, BMI, fasting glucose, fasting glucose squared, triglycerides 0.917
Women: above variables + risk alleles for transcription factor 7-like 2 and interleukin 6 0.912
Women: integer clinical risk score of WC, family history, hypertension 0.827
Validation in external populations:
Kahn, 2009 (63) Atherosclerosis Risk in Communities study, United States WC, hypertension, current smoker (men), family history (women) (3/3) 0.66
Finnish Diabetes Risk Score, Finland (51)
Lindström, 2003 (51) FINRISK, Finland Concise model: age, BMI, WC, history of antihypertensive use, previous diabetes 0.857
Full model: concise model + physical inactivity, fruit and vegetable intake 0.860
Score model: age, BMI, WC, antihypertensive use, previous diabetes, physical activity, fruit and vegetables intake 0.852
Validation in external populations:
Lindström, 2003 (51) FINRISK, Finland Full model: age, BMI, WC, antihypertensive use, previous diabetes, physical activity, fruit and vegetables intake (7/7) 0.87
Alssema, 2008 (64) Hoorn Study, the Netherlands Concise model: age, BMI, WC, antihypertensive medication, previous diabetes, family history (6/5); an extra age category of ≥65 years created and includes family history 0.71
Alssema, 2008 (64) Prevention of renal and vascular end-stage disease study, the Netherlands Concise model: age, BMI, WC, antihypertensive medication, previous diabetes, family history (6/5); an extra age category of ≥65 years created and includes family history 0.77
Alssema, 2008 (64) Monitoring Project on Chronic Disease Risk Factors Study, the Netherlands Concise model: age, BMI, WC, antihypertensive medication, previous diabetes, family history (6/5); an extra age category of ≥65 years created and includes family history 0.71
Balkau, 2008 (55) Data from an Epidemiological Study on the Insulin Resistance syndrome, France Full model: age, BMI, WC, antihypertensive medication, physical activity (5/7); excludes previous diabetes and diet Men: 0.678; women: 0.809
Cameron, 2008 (65) Australian Diabetes, Obesity and Lifestyle Study, Australia Deviations from the full original score: includes parental history, activity excludes occupational activity 0.727
Abdul-Ghani, 2009 (66) Botnia Study, Finland Concise model: age, BMI, WC, use of hypertensive medications, family history (5/5); excludes prevalent diabetes, includes family history 0.646
Framingham Offspring Diabetes Risk Score, United States
Wilson, 2007 (54) Framingham Offspring Study, United States Personal model: age, sex, parental history, BMI 0.724
Simple clinical model with categorical variables: age, sex, parental history, BMI, WC, fasting glucose, HDL cholesterol, triglycerides, hypertension 0.852 (repeated random samples: 0.73–0.91)
Simple point score system: parental history, BMI, fasting glucose, HDL cholesterol, triglycerides, hypertension 0.850
Simple clinical model with continuous variables: age, sex, parental history, BMI, systolic BP, WC, fasting glucose, HDL cholesterol, triglycerides 0.881
Complex clinical model: age, sex, parental history, BMI, WC, fasting glucose, HDL cholesterol, triglyceride, hypertension, 2-hour glucose, fasting insulin, C-reactive protein 0.854
Best biologic model: complex clinical model + hormone therapy, current smoking, alcohol intake, aspirin or nonsteroidal antiinflammatory drug use, glycated hemoglobin, homeostatic model assessment of insulin resistance, Gutt insulin sensitivity index, homeostatic model assessment beta-cell index 0.869
Validation in external populations:
Li, 2007 (67) Cohort, Germany Reestimated simple clinical model: age, sex, family history, BMI, hypertension, HDL cholesterol, triglycerides, fasting glucose (8/9); excludes WC 0.86 (validated: 0.828)
Lyssenko, 2008 (68) Malmö Preventive Project, Sweden Personal model: age, sex, family history, BMI (4/4) Categorical 0.69; continuous 0.707
Simple clinical model with categorical variables: age, sex, family history, BMI, BP, triglycerides, fasting glucose (7/9); excludes WC, HDL cholesterol Categorical 0.729; continuous: 0.743
Lyssenko, 2008 (68) Botnia Study, Finland Personal model: age, sex, family history, BMI (4/4) Categorical: 0.736; continuous: 0.769
Simple clinical model with categorical variables: age, sex, family history, BMI, BP, triglycerides, fasting glucose (7/9); excludes WC, HDL cholesterol Categorical: 0.755; continuous: 0.786
Nichols, 2008 (69) Kaiser Permanente Northwest, United States Family history used as proxy for parental history
Personal model: age, sex, parental history, BMI (4/4); reestimated 0.676
Simple clinical model with categorical variables: age, sex, parental history, BMI, fasting glucose, HDL cholesterol, triglycerides, hypertension (8/9); reestimated model excludes WC 0.824
Simple clinical model with continuous variables: age, sex, parental history, BMI, fasting glucose, HDL cholesterol, triglycerides, hypertension (8/9); reestimated model excludes WC 0.840
Simple point score system: parental history, BMI, fasting glucose, HDL cholesterol, triglycerides, hypertension (6/6) Not reported
Chien, 2009 (61) Cohort, China Not reported 0.662
Kahn, 2009 (63) Atherosclerosis Risk in Communities study, United States Simple point score: fasting glucose, BMI, HDL cholesterol, parental diabetes, triglycerides, hypertension (6/6) 0.76
German Diabetes Risk Score, Germany
Schulze, 2007 (53, 99) EPIC-Potsdam, Germany Full model: age, WC, height, hypertension, physical activity, smoking, and consumption of whole-grain bread, red meat, coffee, moderate alcohol 0.84
Simplified model with categorical variables: age, WC, height, hypertension, physical activity, smoking, and consumption of whole-grain bread, red meat, coffee, moderate alcohol 0.83
Validation in external populations:
Schulze, 2007 (53) EPIC-Heidelberg, Germany Full model: age, WC, height, hypertension, physical activity, smoking, and consumption of whole-grain bread, red meat, coffee, moderate alcohol (10/10) 0.82
Indian Diabetes Risk Score, India
Mohan, 2005 (48) Chennai Urban Rural Epidemiology Study, India Model for predicting undiagnosed diabetes: age, WC, family history, physical activity 0.698
Validation in external populations:
Mohan, 2008 (70) Chennai Urban Population Study, India Age, WC, family history, physical activity (4/4) Not reported
Prospective Cardiovascular Münster Diabetes Risk Score, Germany (49)
von Eckardstein, 2000 (49) Prospective Cardiovascular Münster Study, Germany Age, BMI, fasting glucose, HDL cholesterol, family history, hypertension 0.793
Validation in external populations:
Chien, 2009 (61) Cohort, China Not reported 0.631
Rancho Bernardo Diabetes Risk Score, United States
Kanaya, 2005 (47) Rancho Bernardo Study, United States Model for predicting persons with 2-hour glucose ≥140 mg/dL: sex, age ≥70 years, triglycerides ≥150 mg/dL, fasting glucose Continuous: 0.73; categorical: 0.71; score points: 0.70
Validation in external populations:
Kanaya, 2005 (47) Health, Aging and Body Composition Study, United States Sex, age, triglycerides, fasting glucose (4/4) 0.71
Abdul-Ghani, 2009 (66) Botnia Study, Finland Sex, age, triglycerides, fasting glucose (4/4) 0.74
San Antonio Diabetes Risk Score, United States
Stern, 2002 (50) San Antonio Heart Study, United States Clinical model: age, sex, ethnicity, BMI, family history, systolic BP, HDL cholesterol, fasting glucose 0.84
+ 2-hour glucose 0.85
Full model: age, sex, ethnicity, BMI, family history, systolic BP, diastolic BP, HDL cholesterol, fasting glucose, total cholesterol, low density lipoprotein cholesterol, triglycerides 0.85
+ 2-hour glucose 0.86
Validation in external populations:
McNeely, 2003 (71) Japanese American Community Diabetes Study, United States Clinical model with original weights: age, sex, ethnicity, fasting glucose, systolic BP, HDL cholesterol, BMI, family history (8/8) After 5–6 years: 0.755; after 10 years: 0.790
Reestimated clinical model: age, sex, ethnicity, fasting glucose, systolic BP, HDL cholesterol, BMI, family history (8/8) After 5–6 years: 0.789; after 10 years: 0.807
Hanley, 2004 (72) Insulin Resistance Atherosclerosis Study, United States Age, sex, fasting glucose, systolic BP, HDL cholesterol, BMI, parental or sibling history of diabetes, ethnicity and clinical site (9/8); weighting not reported 0.785
Stern, 2004 (73) Mexico City Diabetes Study, Mexico Not reported in detail 0.765
San Antonio model with metabolic syndrome (National Cholesterol Education Program-Third Adult Treatment Panel definition: ≥3 of the following—high WC, high triglycerides, low HDL cholesterol, high BP/antihypertensive use, high fasting glucose) 0.768
Cameron, 2007 (74) Mauritius Study, Republic of Mauritius Not reported in detail Graphic display
Cameron, 2008 (65) Australian Diabetes, Obesity and Lifestyle Study, Australia Reestimated clinical model (71): age, sex, ethnicity, fasting glucose, systolic BP, HDL cholesterol, BMI, family history (8/8); family history includes parental history only 0.783
Abdul-Ghani, 2009 (66) Botnia Study, Finland Age, sex, ethnicity, BMI, BP, fasting glucose, triglycerides, HDL cholesterol (8/8) 0.743
Chien, 2009 (61) Cohort, China Not reported 0.675

Abbreviations: BMI, body mass index; BP, blood pressure; EPIC, European Prospective Investigation into Cancer and Nutrition; HDL, high density lipoprotein; WC, waist circumference.

a

Ordered by risk score.

b

Values in parentheses indicate number/total number of original variables in the validations.

c

Area under the receiver operating characteristic curve.