Evaluating FINDRISC as a screening tool for type 2 diabetes among overweight adults in the PREVIEW:NZ cohort

Silvestre, Marta P.; Jiang, Yannan; Volkova, Katya; Chisholm, Hannah H; Lee, Wonjoo; Poppitt, Sally D.

doi:10.1016/j.pcd.2017.07.003

Cited by 24 publications

(24 citation statements)

References 31 publications

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“…For example, for the age component of the tool, several Caucasian studies have reported a mean age greater than that of our study [12,19,21,36]. This increase in age could lead to an increase in the risk score in this population [12,21,47,49]. Several studies conducted in South Africa have suggested threshold values of waist circumference different from those currently used for African populations [50][51][52].…”

Section: Optimal Threshold For the Prediction Of Type2 Diabetes With contrasting

confidence: 52%

“…The higher thresholds observed compared to our threshold could be due to the values of several components of the questionnaire that are different for race and ethnic. For example, for the age component of the tool, several Caucasian studies have reported a mean age greater than that of our study [12,19,21,36]. This increase in age could lead to an increase in the risk score in this population [12,21,47,49].…”

Section: Optimal Threshold For the Prediction Of Type2 Diabetes With contrasting

confidence: 48%

“…In addition, the threshold used in Caucasians studies, which ranges from 11 to 15 in most FINDRISC questionnaire validation studies is higher than that of our study. Optimal thresholds used were higher or equal to 11 [20,21,[47][48][49].…”

Section: Optimal Threshold For the Prediction Of Type2 Diabetes With mentioning

confidence: 99%

“…Before being used in practice, performance and validity of the tools should be evaluated in the population of interest [17]. The FINDRISC for the Screening of Subjects at Risk for Type2 Diabetes is a powerful and valid tool in several Northern countries [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Threshold of the Finnish Diabetes Risk Score (Findrisc) for Screening at-Risk Adults in an African Population in Southern Benin

Metonnou-Adanhoume¹,

Aguèh²,

Azandjèmé³

et al. 2019

ujph

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This study aims to determine the performance of the FINDRISC tool for screening adults at risk for type2 diabetes in an African population in southern Benin. This retrospective study included 536 subjects aged 25 to 65 years. The FINDRISC questionnaire score was calculated using seven components: age, body mass index, waist circumference, regular practice of 30 minutes of physical activity, regular consumption of five portions of fruits and vegetables, the family history of diabetes and the presence of high blood pressure. The performance of the tool was determined from the FINDRISC score and fasting blood glucose The "Receiver Operator Characteristic" (ROC) Curve of the FINDRISC score was used to define the optimal cut-off value of the tool for. The FINDRISC threshold-optimal value for detecting T2D risk in southern Benin was 8.5 with 77% sensitivity, 89% specificity, 45% positive predictive value and 71% negative predictive value. The area under the ROC curve was 0.86 (95% CI: 0.81-0.90). This study revealed that the optimal threshold value for detecting the medium or high risk of T2D observed in Benin is lower than Finland's one. Further studies including larger and more representative samples need to be carried out to confirm this finding.

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Section: Optimal Threshold For the Prediction Of Type2 Diabetes With contrasting

confidence: 52%

Section: Optimal Threshold For the Prediction Of Type2 Diabetes With contrasting

confidence: 48%

Section: Optimal Threshold For the Prediction Of Type2 Diabetes With mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Threshold of the Finnish Diabetes Risk Score (Findrisc) for Screening at-Risk Adults in an African Population in Southern Benin

Metonnou-Adanhoume¹,

Aguèh²,

Azandjèmé³

et al. 2019

ujph

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“…It was subsequently crosssectionally validated using a maximum score of 26 (31). Later on, it has been assessed in a cross-sectional manner in several Asian (32)(33)(34), European (35)(36)(37)(38)(39)(40)(41)(42), and American countries (43)(44)(45). In these studies, the optimal cut-off points for detecting UT2DM varied widely from 8.5 to 17 with a sensitivity ranging from 48% to 84% and a speci city ranging from 30.9% to 95%.…”

Section: Performance Of Findrisc In Detecting Ut2dm Prediabetes and Msmentioning

confidence: 99%

Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for the prediction of undiagnosed type 2 diabetes, prediabetes, and metabolic syndrome in the working community of the Lebanese University (LU)

Abdallah¹,

Sharbaji²,

Sharbaji³

et al. 2020

Preprint

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Background Risk scores were mainly proved to predict undiagnosed type 2 diabetes mellitus (UT2DM) in a non-invasive manner and to guide earlier clinical treatment. The objective of the present study was to assess the performance of the Finnish Diabetes Risk Score (FINDRISC) for detecting three outcomes: UT2DM, prediabetes, and the metabolic syndrome (MS). Methods This was a prospective, cross-sectional study during which employees aged between 30 and 64, with no known diabetes and working within the faculties of the Lebanese University (LU) were conveniently recruited. Participants completed the FINDRISC questionnaire and their glucose levels were examined using both fasting blood glucose (FBG) and oral glucose tolerance tests (OGTT). Furthermore, they underwent lipid profile tests with anthropometry. Results Of 713 subjects, 397 subjects (55.2% female; 44.8% male) completed the blood tests and thus were considered as the sample population. 7.6% had UT2DM, 22.9% prediabetes and 35.8% had MS, where men had higher prevalence than women for these 3 outcomes (P = 0.001, P = 0.003 and P = 0.001) respectively. The AUROC value with 95% Confidence Interval (CI) for detecting UT2DM was 0.795 (0.822 in men and 0.725 in women), 0.621(0.648 in men and 0.59 in women) for prediabetes and 0.710 (0.734 in men and 0.705 in women) for MS. The correspondent optimal cut-off point for UT2DM was 11.5 (sensitivity = 83.3% and specificity = 61.3%), 9.5 for prediabetes (sensitivity = 73.6% and specificity = 43.1%) and 10.5 (sensitivity = 69.7%; specificity = 56.5%) for MS. Conclusion The FINDRISC can be considered a simple, quick, inexpensive, and non-invasive instrument to use in a Lebanese community of working people who are unaware of their health status and who usually report being extremely busy because of their daily hectic work for the screening of UT2DM and MS. However, it poorly screens for prediabetes in this context.

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Transcultural Lifestyle Medicine

Nieto-Martínez

González-Rivas

2020

Creating a Lifestyle Medicine Center

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Evaluating FINDRISC as a screening tool for type 2 diabetes among overweight adults in the PREVIEW:NZ cohort

Cited by 24 publications

References 31 publications

Optimal Threshold of the Finnish Diabetes Risk Score (Findrisc) for Screening at-Risk Adults in an African Population in Southern Benin

Optimal Threshold of the Finnish Diabetes Risk Score (Findrisc) for Screening at-Risk Adults in an African Population in Southern Benin

Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for the prediction of undiagnosed type 2 diabetes, prediabetes, and metabolic syndrome in the working community of the Lebanese University (LU)

Transcultural Lifestyle Medicine

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