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Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population
by
Rokhman, M. Rifqi
, Zulkarnain, Zulkarnain
, Arifin, Bustanul
, Postma, Maarten J.
, Boersma, Cornelis
, van der Schans, Jurjen
, Perwitasari, Dyah Aryani
, Satibi, Satibi
in
Adult
/ Biology and Life Sciences
/ Blood Glucose
/ Body mass
/ Body mass index
/ Body size
/ Cardiovascular disease
/ Complications and side effects
/ Data collection
/ Diabetes
/ Diabetes mellitus
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - diagnosis
/ Diabetes Mellitus, Type 2 - epidemiology
/ Diagnosis
/ Diagnostic systems
/ Exercise
/ Finland
/ Glucose
/ Health risks
/ Humans
/ Indonesia - epidemiology
/ Insulin resistance
/ Medicine and Health Sciences
/ Metabolism
/ People and Places
/ Performance evaluation
/ Population studies
/ Risk
/ Risk Factors
/ ROC Curve
/ Sensitivity
/ Social Sciences
/ Sociodemographics
/ Translations
/ Type 2 diabetes
2022
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Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population
by
Rokhman, M. Rifqi
, Zulkarnain, Zulkarnain
, Arifin, Bustanul
, Postma, Maarten J.
, Boersma, Cornelis
, van der Schans, Jurjen
, Perwitasari, Dyah Aryani
, Satibi, Satibi
in
Adult
/ Biology and Life Sciences
/ Blood Glucose
/ Body mass
/ Body mass index
/ Body size
/ Cardiovascular disease
/ Complications and side effects
/ Data collection
/ Diabetes
/ Diabetes mellitus
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - diagnosis
/ Diabetes Mellitus, Type 2 - epidemiology
/ Diagnosis
/ Diagnostic systems
/ Exercise
/ Finland
/ Glucose
/ Health risks
/ Humans
/ Indonesia - epidemiology
/ Insulin resistance
/ Medicine and Health Sciences
/ Metabolism
/ People and Places
/ Performance evaluation
/ Population studies
/ Risk
/ Risk Factors
/ ROC Curve
/ Sensitivity
/ Social Sciences
/ Sociodemographics
/ Translations
/ Type 2 diabetes
2022
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Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population
by
Rokhman, M. Rifqi
, Zulkarnain, Zulkarnain
, Arifin, Bustanul
, Postma, Maarten J.
, Boersma, Cornelis
, van der Schans, Jurjen
, Perwitasari, Dyah Aryani
, Satibi, Satibi
in
Adult
/ Biology and Life Sciences
/ Blood Glucose
/ Body mass
/ Body mass index
/ Body size
/ Cardiovascular disease
/ Complications and side effects
/ Data collection
/ Diabetes
/ Diabetes mellitus
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - diagnosis
/ Diabetes Mellitus, Type 2 - epidemiology
/ Diagnosis
/ Diagnostic systems
/ Exercise
/ Finland
/ Glucose
/ Health risks
/ Humans
/ Indonesia - epidemiology
/ Insulin resistance
/ Medicine and Health Sciences
/ Metabolism
/ People and Places
/ Performance evaluation
/ Population studies
/ Risk
/ Risk Factors
/ ROC Curve
/ Sensitivity
/ Social Sciences
/ Sociodemographics
/ Translations
/ Type 2 diabetes
2022
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Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population
Journal Article
Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population
2022
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Overview
A diabetes risk score cannot directly be translated and applied in different populations, and its performance should be evaluated in the target population. This study aimed to translate the Finnish Diabetes Risk Score (FINDRISC) instrument and compare its performance with the modified version for detecting undiagnosed type 2 diabetes mellitus (T2DM) and dysglycaemia among the Indonesian adult population. Forward and backward translations were performed and followed by cultural adaptation. In total, 1,403 participants were recruited. The FINDRISC-Bahasa Indonesia (FINDRISC-BI) was scored according to the original FINDRISC instrument, while a Modified FINDRISC-BI was analyzed using a specific body mass index and waist circumference classification for Indonesians. The area under the receiver operating characteristic curve, sensitivity, specificity, and the optimal cut-offs of both instruments were estimated. The area under the receiver operating characteristic curve for detecting undiagnosed T2DM was 0.73 (0.67–0.78) for the FINDRISC-BI with an optimal cut-off score of ≥9 (sensitivity = 63.0%; specificity = 67.3%) and 0.72 (0.67–0.78) for the Modified FINDRISC-BI with an optimal cut-off score of ≥11 (sensitivity = 59.8%; specificity = 74.9%). The area under the receiver operating characteristic curve for detecting dysglycaemia was 0.72 (0.69–0.75) for the FINDRISC-BI instrument with an optimal cut-off score of ≥8 (sensitivity = 66.4%; specificity = 67.0%), and 0.72 (0.69–0.75) for the Modified FINDRISC-BI instrument with an optimal cut-off score ≥9 (sensitivity = 63.8%; specificity = 67.6%). The Indonesian version of the FINDRISC instrument has acceptable diagnostic accuracy for screening people with undiagnosed T2DM or dysglycaemia in Indonesia. Modifying the body mass index and waist circumference classifications in the Modified FINDRISC-BI results in a similar diagnostic accuracy; however, the Modified FINDRISC-BI has a higher optimal cut-off point than the FINDRISC-BI. People with an above optimal cut-off score are suggested to take a further blood glucose test.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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