Evaluation of Finnish Diabetes Risk Score in Screening Undiagnosed Diabetes and Prediabetes among U.S. Adults by Gender and Race: NHANES 1999-2010

Abstract

ObjectiveTo evaluate the performance of Finnish Diabetes Risk Score (FINDRISC) in detecting undiagnosed diabetes and prediabetes among U.S. adults by gender and race.MethodsThis 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.ResultsAmong 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.ConclusionsFINDRISC is a simple and non-invasive screening tool to identify individuals at high risk for diabetes in the U.S. adults.

Limited Effectiveness of Diabetes Risk Assessment Tools in Seniors’ Facility Residents

“…The AUROC curve method has been used for several decades to measure how well medical tests discriminate between patients with and without a condition of interest [36]. For example, several previous studies measuring the performance of the FINDRISC survey have used the AUROC curve method [27,28,37,38].…”

Categorization of relative risk of diseases with relation to stress, body mass index and anthropometric markers: A cross-sectional study in general population of Karachi, Pakistan

“…Thereafter, a questionnaire was designed based on the internationally pretested variables used for the categorization of the risk of diabetes (Zhang et al, 2014;Stiglic and Pajnkihar, 2015), which after modification was used as a tool for the categorization of the relative risk of diabetes mellitus (RrDM), among the general population. The questionnaire consisted of a total of 14 different variables and total aggregated score of all variables was 80.…”

Psychosocial correlates of physical activity levels in individuals at risk of developing diabetes mellitus: A feasibility study

“…In addition to eligibility assessment, participant's risk of developing of DM within 10 years was scored using a validated risk screening tool, the Finnish Diabetes Risk Score (FINDRISC) (Zhang et al 2014). According to the FINDRISC classification, a score of 12-14 is considered 'moderate risk' (estimated that 1 in 6 people will develop type 2 DM); 15-20 represents 'high risk' (estimated that 1 in 3 will develop disease), and > 20 is deemed to be 'very high risk' (estimated that 1 in 2 will develop disease) (Zhang et al 2014). In addition, sub-maximal exercise capacity was quantified using the six minute walk test (Crapo et al 2002).…”