Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Table 1.

Descriptive characteristics of study participants (n = 1,403).

More »

Table 1 Expand

Fig 1.

ROC curves for undiagnosed T2DM.

FINDRISC-BI: Finnish Diabetes Risk Score-Bahasa Indonesia; T2DM: type 2 diabetes mellitus; ROC curve: receiver operating characteristic curve.

More »

Fig 1 Expand

Fig 2.

ROC curves for dysglycaemia.

FINDRISC-BI: Finnish Diabetes Risk Score-Bahasa Indonesia; T2DM: type 2 diabetes mellitus; ROC curve: receiver operating characteristic curve.

More »

Fig 2 Expand

Table 2.

Characteristics of FINDRISC-BI and Modified FINDRISC-BI using the optimal cut-off scores to detect undiagnosed T2DM and dysglycaemia.

More »

Table 2 Expand

Table 3.

Multivariate logistic regression model of association between the FINDRISC-BI and Modified FINDRISC-BI, and undiagnosed T2DM or dysglycaemia in total participants (n = 1,403).

More »

Table 3 Expand