Evaluation of the Finnish Diabetes Risk Score (FINDRISC) as a Screening Tool for the Metabolic Syndrome

Abstract 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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Diagnostic accuracy of the Finnish Diabetes Risk Score for the prediction of undiagnosed type 2 diabetes, prediabetes, and metabolic syndrome in the Lebanese University

Diabetology & Metabolic Syndrome ◽

10.1186/s13098-020-00590-8 ◽

2020 ◽

Vol 12 (1) ◽

Author(s):

Maher Abdallah ◽

Safa Sharbaji ◽

Marwa Sharbaji ◽

Zeina Daher ◽

Tarek Faour ◽

...

Keyword(s):

Type 2 Diabetes ◽

Metabolic Syndrome ◽

Risk Score ◽

Diabetes Risk ◽

Oral Glucose ◽

Sample Population ◽

Non Invasive ◽

The Metabolic Syndrome ◽

Diabetes Risk Score

Abstract 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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Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece

Diabetes & Metabolism ◽

10.1016/j.diabet.2010.09.006 ◽

2011 ◽

Vol 37 (2) ◽

pp. 144-151 ◽

Cited By ~ 80

Author(s):

K. Makrilakis ◽

S. Liatis ◽

S. Grammatikou ◽

D. Perrea ◽

C. Stathi ◽

...

Keyword(s):

Type 2 Diabetes ◽

Metabolic Syndrome ◽

Risk Score ◽

Diabetes Risk ◽

The Metabolic Syndrome ◽

Diabetes Risk Score

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Comparison of Accuracy of Diabetes Risk Score and Components of the Metabolic Syndrome in Assessing Risk of Incident Type 2 Diabetes in Inter99 Cohort

PLoS ONE ◽

10.1371/journal.pone.0022863 ◽

2011 ◽

Vol 6 (7) ◽

pp. e22863 ◽

Cited By ~ 8

Author(s):

Tracy B. Shafizadeh ◽

Edward J. Moler ◽

Janice A. Kolberg ◽

Uyen Thao Nguyen ◽

Torben Hansen ◽

...

Keyword(s):

Type 2 Diabetes ◽

Metabolic Syndrome ◽

Risk Score ◽

Diabetes Risk ◽

Incident Type ◽

The Metabolic Syndrome ◽

Incident Type 2 Diabetes ◽

Diabetes Risk Score

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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)

10.21203/rs.3.rs-46875/v1 ◽

2020 ◽

Author(s):

Maher Abdallah ◽

Safa SHARBAJI ◽

Marwa SHARBAJI ◽

Zeina DAHER ◽

Tarek FAOUR ◽

...

Keyword(s):

Type 2 Diabetes ◽

Metabolic Syndrome ◽

Risk Score ◽

Diabetes Risk ◽

Oral Glucose ◽

Sample Population ◽

Non Invasive ◽

The Metabolic Syndrome ◽

Diabetes Risk Score

Abstract 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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A study on validity of Indian Diabetes Risk Score for screening of diabetes mellitus among rural adult population at Rural Health Training Centre, Bhouri, under Department of Community Medicine

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20184806 ◽

2018 ◽

Vol 5 (12) ◽

pp. 5295

Author(s):

Garima Namdev ◽

Vinod Narkhede

Keyword(s):

Diabetes Mellitus ◽

Rural Health ◽

Risk Score ◽

Screening Tool ◽

Public Health Problem ◽

Diabetes Risk ◽

Major Public Health Problem ◽

Training Centre ◽

Health Training ◽

Diabetes Risk Score

Background: Diabetes mellitus is a major public health problem in India and many of them remain undetected throughout years. This scenario becomes worse in rural setup where limited heath care facilities are available. So, to detect risk of diabetes earlier, Indian diabetes risk score (IDRS) is to be used. There is also various socio demographic and anthropometric factors associated with the risk of occurring diabetes. The aims and objectives of the study were to study the validity of IDRS method as a screening tool in community as well as to determine the association of IDRS with socio demographic factors and body mass index (BMI).Methods: A cross sectional study was conducted on 270 study participants at rural health training centre (RHTC) for a period of around 7 months. All of them were being measured weight, height, waist circumference and calculated BMI. Along with it, they were categorized by applying IDRS method and measured blood sugar by glucometer also.Results: Out of 270 study subjects, 29% found to have high score. By applying IDRS, at score > 60, we found 32% sensitivity and 97% specificity. A statistically significant association of IDRS with age, gender, religion, socioeconomic status (SES), education, occupation and BMI was seen.Conclusions: In present study, IDRS method proved to be a good screening tool for detecting diabetes mellitus at rural set up with minimum cost.

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