Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population
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 de...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science
2022
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| Online Access: | https://repository.ugm.ac.id/283879/1/journal.pone.0269853.pdf |
| _version_ | 1826050705333420032 |
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| author | Rokhman, M. Rifqi Arifin, Bustanul Zulkarnain, Zulkarnain Satibi, Satibi Perwitasari, Dyah Aryani Boersma, Cornelis Postma, Maarten J. Schans, Jurjen van der |
| author_facet | Rokhman, M. Rifqi Arifin, Bustanul Zulkarnain, Zulkarnain Satibi, Satibi Perwitasari, Dyah Aryani Boersma, Cornelis Postma, Maarten J. Schans, Jurjen van der |
| author_sort | Rokhman, M. Rifqi |
| collection | UGM |
| description | 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. |
| first_indexed | 2024-03-14T00:08:49Z |
| format | Article |
| id | oai:generic.eprints.org:283879 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:08:49Z |
| publishDate | 2022 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2838792023-11-23T06:32:01Z https://repository.ugm.ac.id/283879/ Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population Rokhman, M. Rifqi Arifin, Bustanul Zulkarnain, Zulkarnain Satibi, Satibi Perwitasari, Dyah Aryani Boersma, Cornelis Postma, Maarten J. Schans, Jurjen van der Clinical Sciences Endocrinology 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. Public Library of Science 2022-07-21 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/283879/1/journal.pone.0269853.pdf Rokhman, M. Rifqi and Arifin, Bustanul and Zulkarnain, Zulkarnain and Satibi, Satibi and Perwitasari, Dyah Aryani and Boersma, Cornelis and Postma, Maarten J. and Schans, Jurjen van der (2022) Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population. PLOS ONE, 17. ISSN 19326203 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0269853 10.1371/journal.pone.0269853 |
| spellingShingle | Clinical Sciences Endocrinology Rokhman, M. Rifqi Arifin, Bustanul Zulkarnain, Zulkarnain Satibi, Satibi Perwitasari, Dyah Aryani Boersma, Cornelis Postma, Maarten J. Schans, Jurjen van der Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population |
| title | Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population |
| title_full | Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population |
| title_fullStr | Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population |
| title_full_unstemmed | Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population |
| title_short | Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population |
| title_sort | translation and performance of the finnish diabetes risk score for detecting undiagnosed diabetes and dysglycaemia in the indonesian population |
| topic | Clinical Sciences Endocrinology |
| url | https://repository.ugm.ac.id/283879/1/journal.pone.0269853.pdf |
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