Evaluation of Finnish Diabetes Risk Score in screening undiagnosed diabetes and prediabetes among U.S. adults by gender and race: NHANES 1999-2010.
OBJECTIVE
To evaluate the performance of Finnish Diabetes Risk Score (FINDRISC) in detecting undiagnosed diabetes and prediabetes among U.S. adults by gender and race.


METHODS
This cross-sectional analysis included participants (aged ≥20 years) from the National Health and Nutrition Examination Survey (NHANES) 1999-2010. Sensitivity, specificity, area under the receiver operating characteristic (ROC) curve and the optimal cutoff points for identifying undiagnosed diabetes and prediabetes were calculated for FINDRISC by gender and race/ethnicity.


RESULTS
Among the 20,633 adults (≥20 years), 49.8% were women and 53.0% were non-Hispanic White. The prevalence of undiagnosed diabetes and prediabetes was 4.1% and 35.6%, respectively. FINDRISC was positively associated with the prevalence of diabetes (OR = 1.48 for 1 unit increase, p<0.001) and prediabetes (OR = 1.15 for 1 unit increase, p<0.001). The area under ROC for detecting undiagnosed diabetes was 0.75 for total population, 0.74 for men and 0.78 for women (p = 0.04); 0.76 for White, 0.76 for Black and 0.72 for Hispanics (p = 0.03 for White vs. Hispanics). The area under ROC for detecting prediabetes was 0.67 for total population, 0.66 for men and 0.70 for women (p<0.001); 0.68 for White, 0.67 for Black and 0.65 for Hispanics (p<0.001 for White vs. Hispanics). The optimal cutoff point was 10 (sensitivity = 0.75) for men and 12 (sensitivity = 0.72) for women for detecting undiagnosed diabetes; 9 (sensitivity = 0.61) for men and 10 (sensitivity = 0.69) for women for detecting prediabetes.


CONCLUSIONS
FINDRISC is a simple and non-invasive screening tool to identify individuals at high risk for diabetes in the U.S. adults.
Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, United States of America.
Lu
L
Zhang
Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, United States of America.
Zhenzhen
Z
Zhang
The First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, Shanxi, China.
Yurong
Y
Zhang
Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America.
Gang
G
Hu
Department of Public Health Sciences, Clemson University, Clemson, South Carolina, United States of America.
Liwei
L
Chen
D000328:Adult; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000175:diagnosis*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D044382:Population Groups; D011236:Prediabetic State / Q000175:diagnosis*; D012307:Risk Factors; D012737:Sex Factors; D014481:United States; D055815:Young Adult