Evaluation of the modified FINDRISC to identify individuals at high risk for diabetes among middle-aged white and black ARIC study participants.
To evaluate a modified Finnish Diabetes Risk Score (FINDRISC) for predicting the risk of incident diabetes among white and black middle-aged participants from the Atherosclerosis Risk in Communities (ARIC) study.



We assessed 9754 ARIC cohort participants who were free of diabetes at baseline. Logistic regression and receiver operator characteristic (ROC) curves were used to evaluate a modified FINDRISC for predicting incident diabetes after 9 years of follow-up, overall and by race/gender group. The modified FINDRISC used comprised age, body mass index, waist circumference, blood pressure medication and family history.



The mean FINDRISC (range, 2 [lowest risk] to 17 [highest risk]) for black women was higher (9.9 ± 3.6) than that for black men (7.6 ± 3.9), white women (8.0 ± 3.6) and white men (7.6 ± 3.5). The incidence of diabetes increased generally across deciles of FINDRISC for all 4 race/gender groups. ROC curve statistics for the FINDRISC showed the highest area under the curve for white women (0.77) and the lowest for black men (0.70).



We used a modified FINDRISC to predict the 9-year risk of incident diabetes in a biracial US population. The modified risk score can be useful for early screening of incident diabetes in biracial populations, which may be helpful for early interventions to delay or prevent diabetes.
Division of Medical Laboratory Science, School of Health and Rehabilitation Sciences, Ohio State University, Columbus, Ohio.|Division of Epidemiology, College of Public Health, Ohio State University, Columbus, Ohio.
Manjusha
0000-0002-4853-2749
M
Kulkarni
Division of Epidemiology, College of Public Health, Ohio State University, Columbus, Ohio.
Randi E
RE
Foraker
Merck Sharp & Dohme Corp., Whitehouse Station, New Jersey.
Ann M
AM
McNeill
CERobs Consulting, LLC, Chapel Hill, North Carolina.|Department of Epidemiology, Gillings School of Global Public Health, UNC, Chapel Hill, North Carolina.
Cynthia
C
Girman
Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Sherita H
SH
Golden
Department of Epidemiology, Gillings Global School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Wayne D
WD
Rosamond
Postgraduate Program in Epidemiology, School of Medicine, Federal University of Rio Grande do Sul, Rio Grande do Sul, Brazil.
Bruce
B
Duncan
Postgraduate Program in Epidemiology, School of Medicine, Federal University of Rio Grande do Sul, Rio Grande do Sul, Brazil.
Maria Ines
MI
Schmidt
Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland.|Centre for Vascular Prevention, Danube-University Krems, Krems, Austria.|Dasman Diabetes Institute, Safat, Kuwait.|Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia.
Jaakko
J
Tuomilehto
D001741:Black or African American; D000367:Age Factors; D015992:Body Mass Index; D015331:Cohort Studies; D003924:Diabetes Mellitus, Type 2 / Q000150:complications / Q000175:diagnosis / Q000453:epidemiology* / Q000208:ethnology; D042241:Early Diagnosis; D005260:Female; D006801:Humans; D015994:Incidence; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000150:complications / Q000453:epidemiology / Q000208:ethnology; D050177:Overweight / Q000150:complications / Q000453:epidemiology / Q000208:ethnology; D011237:Predictive Value of Tests; D015995:Prevalence; D011446:Prospective Studies; D012372:ROC Curve; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012737:Sex Factors; D014481:United States / Q000453:epidemiology; D055105:Waist Circumference; D044465:White People
cohort study; type 2 diabetes