Ontology highlight
ABSTRACT: Background
This study evaluated the diagnostic accuracy of the Modified Finnish Diabetes Risk Score (Modified FINDRISC) for detecting individuals with metabolic syndrome in Indonesia.Methods
A dataset from the 2018 Indonesian National Basic Health Survey was analysed, and cases of metabolic syndrome were identified in accordance with both National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) and International Diabetes Federation (IDF) guidelines. Diagnostic accuracy of the Modified FINDRISC tool was evaluated using the Area Under the Receiver Operating Characteristic (AUC) curve, while optimal cut-off scores were determined by Youden's Index.Results
From 25,432 participants, the mean and standard deviation of the Modified FINDRISC score was
SUBMITTER: Cahyaningsih I
PROVIDER: S-EPMC11819590 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature