To evaluate the performance of Finnish Diabetes Risk Score (FINDRISC) in detecting undiagnosed diabetes and prediabetes among U.S. adults by gender and race.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.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 ...
Objective The Finnish Diabetes Risk Score (FINDRISC) is a recommended tool for type 2 diabetes predi...
A diabetes risk score cannot directly be translated and applied in different populations, and its pe...
A diabetes risk score cannot directly be translated and applied in different populations, and its pe...
ObjectiveTo evaluate the performance of Finnish Diabetes Risk Score (FINDRISC) in detecting undiagno...
Objective: To evaluate the performance of Finnish Diabetes Risk Score (FINDRISC) in detecting undiag...
The study aim was to evaluate the performance of a novel simultaneous testing model, based on the Fi...
The study aim was to evaluate the performance of a novel simultaneous testing model, based on the Fi...
Aim: Diabetes is a major health problem worldwide, as its prevalence is increasing dramatically. Lif...
<p>The prevalence of diabetes (including diagnosed and undiagnosed diabetes) was calculated among al...
To evaluate the performance of the Finnish Diabetes Risk Score (FINDRISC) and a simplified FINDRISC ...
Aims: /hypothesis. To determine the best cut-off threshold value of the Finnish Diabetes Risk Score ...
Objectives: The objective of the study was to investigate the prevalence of undiagnosed dysglycaemia...
Objective The study aim was to evaluate the performance of a novel simultaneous testing model, based...
Objective The Finnish Diabetes Risk Score (FINDRISC) is a recommended tool for type 2 diabetes predi...
Diabetes is one of the most common chronic diseases globally and is a major cause of morbidity and m...
Objective The Finnish Diabetes Risk Score (FINDRISC) is a recommended tool for type 2 diabetes predi...
A diabetes risk score cannot directly be translated and applied in different populations, and its pe...
A diabetes risk score cannot directly be translated and applied in different populations, and its pe...
ObjectiveTo evaluate the performance of Finnish Diabetes Risk Score (FINDRISC) in detecting undiagno...
Objective: To evaluate the performance of Finnish Diabetes Risk Score (FINDRISC) in detecting undiag...
The study aim was to evaluate the performance of a novel simultaneous testing model, based on the Fi...
The study aim was to evaluate the performance of a novel simultaneous testing model, based on the Fi...
Aim: Diabetes is a major health problem worldwide, as its prevalence is increasing dramatically. Lif...
<p>The prevalence of diabetes (including diagnosed and undiagnosed diabetes) was calculated among al...
To evaluate the performance of the Finnish Diabetes Risk Score (FINDRISC) and a simplified FINDRISC ...
Aims: /hypothesis. To determine the best cut-off threshold value of the Finnish Diabetes Risk Score ...
Objectives: The objective of the study was to investigate the prevalence of undiagnosed dysglycaemia...
Objective The study aim was to evaluate the performance of a novel simultaneous testing model, based...
Objective The Finnish Diabetes Risk Score (FINDRISC) is a recommended tool for type 2 diabetes predi...
Diabetes is one of the most common chronic diseases globally and is a major cause of morbidity and m...
Objective The Finnish Diabetes Risk Score (FINDRISC) is a recommended tool for type 2 diabetes predi...
A diabetes risk score cannot directly be translated and applied in different populations, and its pe...
A diabetes risk score cannot directly be translated and applied in different populations, and its pe...