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

Abstract

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.

Performance of the Finnish Diabetes Risk Score (FINDRISC) in the Identification of Dysglycemia in an Urban Population in Ouagadougou (Burkina Faso)

“…Compared to the African studies, our prediction score threshold value was close to that of the Beninese study (≥8.5) in West Africa [26] and lower than that of the Algerian studies (≥13 for women and ≥11 for men) in North Africa [27] and Botswana (≥17) in Southern Africa [2].…”

“…In Africa, compared to our score of less than 7 (58.54%), Omech in Botswana [24], Olamoyegun in Nigeria [25] and Azzouz in Algeria [27] had lower scores of 15.1%, 14% and 7.9% respectively. While Metonnou-Adanhoume in Benin [26] reported a high score of 68.28%. These differences in the proportion of scores are methodological: small sample size for the Botswana study [24]; semi-urban setting for the Nigerian study versus urban [25]; retrospective collection with data from 2006 for the Benin study versus prospective [26].…”

“…While Metonnou-Adanhoume in Benin [26] reported a high score of 68.28%. These differences in the proportion of scores are methodological: small sample size for the Botswana study [24]; semi-urban setting for the Nigerian study versus urban [25]; retrospective collection with data from 2006 for the Benin study versus prospective [26]. As for the Algerian study, the difference would be due to the eating habits and lifestyles of its populations [27].…”

“…The discriminating qualities of scores from studies in different African countries are varied. In West Africa (Benin), one study gave an AUC of 0.86 [26]. In North Africa (Algeria) an AUC of 0.67 was scored [27].…”

A Preliminary Report of Type 2 Diabetes Risk and Related Factors

“…In our study, the majority of the participants at very highrisk were women (Table 1), and we found that being a woman increases the risk of diabetes by 1.95 times (p = 0.030) ( Table 2). In several studies, scale scores of women are higher than that of men, and being a woman increases the risk of diabetes [9,21,24,25]. In a Norwegian study, 12.1% of females were in the high-risk group, while this figure was 9.6% for males [18].…”