Finnish Diabetes Risk Score Score Research Articles

Impaired health-related quality of life due to elevated risk of developing diabetes: A cross-sectional study in Indonesia.

This study investigated the association between elevated risk of developing diabetes and impaired health-related quality of life (HRQoL) in the Indonesian population. A cross-sectional study was conducted on 1,336 Indonesians from the general population who had no previous diagnosis of diabetes. Utility score to represent HRQoL was measured using the EuroQol 5-dimension, while the risk for developing diabetes was determined using the Finnish Diabetes Risk Score (FINDRISC) instrument. All participants underwent a blood glucose test after fasting for 8 hours. The association between FINDRISC score and HRQoL adjusted for covariates was analysed using multivariate Tobit regression models. Minimal clinically important differences were used to facilitate interpretation of minimal changes in utility score that could be observed. The median (interquartile range) of the overall FINDRISC score was 6 (7), while the mean (95% confidence intervals) of the EQ-5D utility score was 0.93 (0.93-0.94). Once adjusted for clinical parameters and socio-demographic characteristics, participants with a higher FINDRISC score showed a significantly lower HRQoL. No significant association was detected between fasting blood glucose level categories and HRQoL. A difference of 4-5 points in the FINDRISC score was considered to reflect meaningful change in HRQoL in clinical practice. An elevated risk of developing diabetes is associated with a lower HRQoL. Therefore, attention should be paid not only to patients who have already been diagnosed with diabetes, but also to members of the general population who demonstrate an elevated risk of developing diabetes. This approach will assist in preventing the onset of diabetes and any further deterioration of HRQoL in this segment of the Indonesian population.

Prevalence of increased risk of type 2 diabetes in general practice: a cross-sectional study in Norway

BackgroundType 2 diabetes (T2D) is a global public health problem, but the onset can be delayed or prevented with adequate intervention in individuals with increased risk. Therefore, a major challenge in general practice is to identify individuals at risk of diabetes. However, limited knowledge is available about the prevalence of high diabetes risk individuals in a primary care population. In a cohort of consecutive patients in general practice we examined the prevalence of known diabetes and estimated risk of diabetes using The Finnish Diabetes Risk Score (FINDRISC) calculator, by sociodemographic and clinical characteristics.MethodsThis study was a cross-sectional study conducted in four general practices in Western and Eastern Norway. A total of 1682 individuals, 20–80 years of age, were assessed for eligibility from May to December 2019. We excluded patients who actively declined participation (n = 112), were lost because of various organization challenges (n = 103) and patients who did not fulfil the inclusions criteria (n = 63). Diabetes prevalence and prevalence of individuals at risk of T2D with 95% confidence intervals (CI) were estimated for the total sample, by age group and for men and women separately. We tested for differences between groups using t-test for continuous variables and chi-square test (Pearson Chi-Square) for categorical variables.ResultsOf 1404 individuals, 132 reported known diabetes, yielding a prevalence of 9.9% (95% CI 8.4–11.6). Among participants without a known diagnosis of diabetes, the following estimates of elevated risk assessment scores were found: FINDRISC score ≥ 11 32.8% (95% CI 30.3–35.4) and FINDRISC ≥ 15 10.0% (95% CI 8.6–11.9). Comparable results were found between the sexes.ConclusionsDetection of unknown diabetes and individuals with increased risk, is of high public health relevance for early implementation of preventive measures aimed to reduce the risk of diabetes and its complications through lifestyle modification. A simple, non-expensive questionnaire, such as FINDRISC, may be valuable as an initial screening method in general practice to identify those in need for preventive measures.

Effectiveness of a collaborative diabetes screening campaign between community pharmacies and general practitioners

AimTo evaluate the impact of a collaborative screening campaign on the prevalence of pre-diabetes and diabetes among the screened population. MethodsA Longitudinal, multicentre study was developed. The Finnish Diabetes Risk Score (FINDRISC) was applied to the eligible population in the participating community pharmacies. Individuals with a FINDRISC score ≥ 15, were eligible to measure their glycated haemoglobin (HbA1c) level at the community pharmacy. If HbA1c≥ 5.7%, participants were referred to a general practitioner (GP) appointment for potential diagnosis of Diabetes. ResultsOut of 909 screened subjects, 405 (44.6%) presented a FINDRISC score ≥ 15. Among the latter, 94 (23.4%) had HbA1c levels that made them eligible for GP referral, of which 35 (37.2%) completed the scheduled appointments. 24 participants were diagnosed with pre-diabetes, and 11 with diabetes. The prevalence was estimated at 2.5% (CI95% 1.6–3.8%) and 7.8% (CI95% 6.2–9.8%) for diabetes and pre-diabetes, respectively. ConclusionThis collaborative model has proved to be effective in the early detection of diabetes and pre-diabetes. Joint initiatives between health professionals can play a pivotal role in the prevention and diagnosis of diabetes, which may lead to a reduction on the burden to health system and society.

Birinci Basamak Sağlık Kuruluşuna Başvuran Yetişkinlerin Diyabet Risk Skorları: Kesitsel Bir Çalışma

Objective: Diabetes is a serious public health problem that has increased in frequency in recent years. The aim of this study is to determine the diabetes risk scores of individuals who apply to a primary health care institution.
 Material-method: This descriptive and cross-sectional study was conducted with 982 individuals between 01.12.2021 and 12.03.2022. Data were collected from the sociodemographic characteristics questionnaire and the Finnish Diabetes Risk Score (FINDRISC) questionnaire. Those with a diabetes risk score of 15 or higher were considered high risk.
 Results: The mean age of the individuals participating in the study was 37.93±8.63. The mean FINDRISC score of the participants was 8.52±6.83 and 22.8% of them were in the high-risk group. The women included in the study, those who are married, have a low education level, have a low income, have a high BMI, do not exercise, and have a family history of diabetes have a higher risk of diabetes.
 Conclusion: Approximately one in four people in the study appear to be at high risk. Primary health care institutions need to conduct risk screenings more frequently. Lifestyle interventions to reduce the preventable risk factors of individuals should be developed and supported.
 Keywords: Diabetes, FINDRISC, Primary care, Adults, Score

Using HbA1c measurements and the Finnish Diabetes Risk Score to identify undiagnosed individuals and those at risk of diabetes in primary care

BackgroundPrevalence of prediabetes and type 2 diabetes mellitus (T2DM) is increasing worldwide. The objective of this study was to determine the proportion of people in Northern Iceland with prediabetes, at risk of developing T2DM or with manifest undiagnosed T2DM, as this information is lacking in Iceland.MethodsA cross-sectional study. Clients of the three largest primary health care centres in the Health Care Institution of North Iceland (HSN) were invited to participate if fulfilling the following inclusion criteria: a) aged between 18 and 75 years, b) not diagnosed with diabetes, c) speaking and understanding Icelandic or English fluently and d) living in the included service area.Data collection took place via face-to-face interviews between 1 March 2020 and 15 May 2021. Participation included answering the Finnish Diabetes Risk Score (FINDRISC), measuring the HbA1c levels and background information.ResultsOf the 220 participants, 65.9% were women. The mean age was 52.1 years (SD ± 14.1) and FINDRISC scores were as follows: 47.3% scored ≤8 points, 37.2% scored between 9 and 14 points, and 15.5% scored between 15 and 26 points. The mean HbA1c levels in mmol/mol, were 35.5 (SD ± 3.9) for men and 34.4 (SD ± 3.4) for women, ranging from 24 to 47. Body mass index ≥30 kg/m2 was found in 32% of men and 35.9% of women. Prevalence of prediabetes in this cohort was 13.2%. None of the participants had undiagnosed T2DM. Best sensitivity and specificity for finding prediabetes was by using cut-off points of ≥11 on FINDRISC, which gave a ROC curve of 0.814.ConclusionsThe FINDRISC is a non-invasive and easily applied screening instrument for prediabetes. Used in advance of other more expensive and invasive testing, it can enable earlier intervention by assisting decision making, health promotion actions and prevention of the disease burden within primary health care.Trial registrationThis study is a pre-phase of the registered study “Effectiveness of Nurse-coordinated Follow up Program in Primary Care for People at risk of T2DM” at www.ClinicalTrials.gov (NCT01688359). Registered 30 December 2020.

Prevalence of prediabetes in an urban Nigerian population using the Finnish Diabetes Risk Score

Background: Type 2 Diabetes Mellitus (T2DM) is a global problem in emerging economy Nigeria. Early detection can help delay or prevent the disease. Aims: This study aims to characterize the prevalence of prediabetes in the study population using the validated Finnish Diabetes Risk Score (FINDRISC) in the adult population in an urban Sagamu Ogun State South-Western Nigeria. Patients and Methods: Healthy participants (n=581) aged 18-65yrs with no known history of T2DM or pregnancy were recruited from local urban churches in Sagamu. The FINDRISC questionnaire was then administered, which included questions on age, BMI, waist circumference, vegetable consumption, physical activity, history of high blood pressure, family history of T2DM and history of high blood sugar. Results: Overall, 51.8% of the participants were assigned a risk of developing T2DM in the next 10 years, with a range of categories from slightly elevated to very high risk; 34.4% of the participants had a risk score of 7-11, indicating a slightly elevated risk; 11.2% of the participants had a risk score of 12-14, indicating a moderately elevated risk, while 5.3% of the participants had a risk score of 15-20, indicating a high risk and 0.9% of the participants had a risk score higher than 20 indicating very high elevated risk. The gender distribution of the risk scores showed that 1.7% of the males and 9.5% of the females had a moderate to high risk (score ≥ 12) of developing T2DM in the next 10 years. The FINDRISC score was positively and significantly correlated with body weight (r=0.49; p<0.001), BMI (r=0.55; p<0.001) and age (r=0.27; p<0.001). This prevalence of prediabetes is similar to that found in other studies in Nigeria. Conclusion: This study confirms the use of this simple and non-invasive screening tool for T2DM among adults in Nigeria. It is also a useful tool to increase awareness of this condition in the population.

Do parental risk factors for type 2 diabetes predict offspring risk of overweight and obesity? The Feel4Diabetes study

ObjectivesThe prevention of children being overweight/obese is of utmost importance. Parental characteristics play a pivotal role in shaping offspring weight status. This study aimed to examine associations between parental obesity and children's overweight/obesity status, and whether other parental type 2 diabetes (T2D) risk factors can predict children's obesity status. MethodsLogistic regression and receiver operating characteristic (ROC) analyses were conducted, using cross-sectional data from a European cohort of 20 151 adults (10 967 mothers; 9184 fathers) and children (n = 10 967) participating in the Feel4Diabetes study. Anthropometric measurements were conducted in children, and overweight/obesity was defined according to the International Obesity Task Force criteria. Parents’ T2D risk was assessed applying the Finnish Diabetes Risk Score (FINDRISC). ResultsAfter adjusting for all other FINDRISC variables, region and maternal/parental education, maternal (adjusted odds ratio [aOR]: 2.64; 95% confidence interval [CI], 2.18–3.20) and parental (aOR: 3.21; 95% CI, 2.65–3.91) obesity, maternal (aOR: 1.46; 95% CI, 1.23–1.74) and parental (aOR: 1.59; 95% CI, 1.32–1.92) high waist circumference, as well as maternal (aOR: 1.60; 95% CI, 1.27–2.01) and parental (aOR: 1.87; 95% CI, 1.58–2.21) high FINDRISC score, were associated with child overweight/obesity status. Maternal (area under the curve– ROC: 0.638; 95% CI, 0.628–0.647) and paternal body mass index (BMI; area under the curve–ROC: 0.632; 95% CI, 0.622–0.642) were the most accurate in predicting child overweight/obesity status. ConclusionsAmong parental risk factors for T2D, maternal/parental overweight/obesity status, central obesity, and high FINDRISC score were the main predictors of childhood overweight/obesity status, with BMI the most accurate. Maternal or paternal BMI is simple to use, and might be useful for the early identification of children at risk of being overweight/obese rather than other T2D factors.

Abstract P164: Most Non-invasive Diabetes Risk Scores Identify Type 2 Diabetes Due To Insulin Resistance But Not β-cell Failure: The Africans In America Study

Background: Five of the most important Type 2 Diabetes (T2D) prediction scores are: Cambridge, Finnish Diabetes Risk Score (FINDRISC), Rotterdam, Kuwaiti and Omani. These scores are based on the premise that Insulin Resistance (IR) is the primary cause of T2D. Yet, data in Africans suggest β-cell-failure without obesity is the most common cause of T2D. It is unknown whether these scores can identify undiagnosed T2D when the cause is β-cell-failure. Aims: Our aim was to compare in 514 African-born Blacks (age 38±10 (mean±SD); 68% male; BMI 28±5 kg/m 2 ) the ability of Cambridge, FINDRISC, Rotterdam, Kuwait and Omani scores to identify previously undiagnosed T2D due to either IR or β-cell-failure. Methods: Diabetes was diagnosed by OGTT. Insulin resistance was defined by the lowest quartile of the Matsuda index (≤2.97). Beta-cell failure was defined as T2D diagnosis in the absence of IR. Body mass index (BMI), waist circumference (WC) and visceral adipose tissue (VAT) was measured. Area under the Receiver Operator Characteristic curve (AROC) estimated sensitivity, specificity, and criteria for AROC were: 0.70-0.79=acceptable; 0.80-0.89=excellent; >0.90=outstanding. Logistic regression determined odds of T2D at the optimal cut-point for each score. Results: The prevalence of T2D was 7% (38/514). Of the T2D cases, IR occurred in 61% (23/38) and β-cell failure in 39% (15/38). Age did not differ by group, but the IR group had higher BMI (31±5 vs 27±4 kg/m 2 P <0.001) and WC (101±10 vs 91±10 cm P <0.001). This is supported by the higher VAT in the IR group (161±73 vs 106±62 cm 2 P <0.001), an important physiological correlate of insulin resistance. All scores showed acceptable to outstanding predictability for T2D due to IR, ranging from Cambridge at AROC=0.75, to the FINDRISC with AROC=0.92. Only weak to moderate predictability for all scores were shown in β-cell-failure (Cambridge at AROC=0.48 to FINDRISC with AROC=0.63). All models predicted significant odds of T2D due to IR, with FINDRISC≥10 OR=6.8 (95%CI, 2.6, 17.8) P<0 .001; Rotterdam≥7 OR=8.5 (95%CI, 3.1, 23.2) P<0 .001; Cambridge≥23 OR=11.4 (95%CI, 2.6, 50.0) P =0.001) proving most effective. Only the Cambridge score significantly predicted odds of T2D in β-cell-failure (OR=5.7 (95%CI 1.58, 20.54) P =0.001). Conclusions: All 5 diabetes risk scores effectively predicted undiagnosed T2D in Africans when the etiology was IR, but only the Cambridge score predicted T2D when the cause was β-cell failure. The Cambridge risk score rates overweight status, not just obesity status, which might explain why it was successful in predicting T2D in β-cell failure and the others were not. Existing scores which predict T2D might be modified, to effectively assess T2D risk when β-cell failure is the primary cause.

Comparison of the Finnish Diabetes Risk Score Model With the Metabolic Syndrome in a Shanghai Population

AimsThis study aimed to compare the diagnostic accuracy of the metabolic syndrome with the Finnish Diabetes Risk Score (FINDRISC) to screen for type 2 diabetes mellitus (T2DM) in a Shanghai population.MethodsParticipants aged 25-64 years were recruited from a Shanghai population from July 2019 to March 2020. Each participant underwent a standard metabolic work-up, including clinical examination with anthropometry. Glucose status was tested using hemoglobin A1c (HbAlc), 2h-post-load glucose (2hPG), and fasting blood glucose (FBG). The FINDRISC questionnaire and the metabolic syndrome were examined. The performance of the FINDRISC was assessed using the area under the receiver operating characteristic curve (AUC-ROC).ResultsOf the 713 subjects, 9.1% were diagnosed with prediabetes, whereas 5.2% were diagnosed with T2DM. A total of 172 subjects had the metabolic syndrome. A higher FINDRISC score was positively associated with the prevalence of T2DM and the metabolic syndrome. Multivariable linear regression analysis demonstrated that the FINDRISC had a linear regression relationship with 2hPG levels (b’= 036, p < 0.0001). The AUC-ROC of the FINDRISC to identify subjects with T2DM among the total population was 0.708 (95% CI 0.639–0.776), the sensitivity was 44.6%, and the specificity was 90.1%, with 11 as the cut-off point. After adding FBG or 2hPG to the FINDRISC, the AUC-ROC among the total population significantly increased to 0.785 (95% CI 0.671–0.899) and 0.731 (95% CI 0.619–0.843), respectively, while the AUC-ROC among the female group increased to 0.858 (95% CI 0.753–0.964) and 0.823 (95% CI 0.730–0.916), respectively (p < 0.001). The AUC-ROC of the metabolic syndrome to identify subjects with T2DM among the total and female population was 0.805 (95% CI 0.767–0.844) and 0.830 (95% CI 0.788–0.872), respectively, with seven as the cut-off point.ConclusionsThe metabolic syndrome performed better than the FINDRISC model. The metabolic syndrome and the FINDRISC with FBG or 2hPG in a two-step screening model are both efficacious clinical practices for predicting T2DM in a Shanghai population.

Is the FINDRISC Tool Useful in Screening Type 2 Diabetes and Metabolic Syndrome in an African Setting? Experience among Young Adults in Urban Tanzania

Background: Simple and less costly screening tools are needed to combat the rising non-communicable diseases epidemic. This study aimed to evaluate the utility of The Finnish Diabetes Risk Score (FINDRISC) as a screening tool for prediabetes, T2D, and metabolic syndrome (MetS) in a population of young adults in urban Mwanza, Tanzania. Methods: A cross-sectional community-based study was conducted among participants aged 18–35 years. The FINDRISC questionnaire was used to collect data and compute the FINDRISC scores for each participant. Socio-demographic, anthropometric, blood glucose, and lipid profiles data were collected accordingly. Results: A total of 259 participants were recruited into the study. The median age was 21 years (IQR 19–27), and more than half 60.2% (156) were females. In total, 32.8% (85) of the participants had at least a slightly elevated risk of developing T2D in 10 years’ time. Compared to the Oral Glucose Tolerance Test (OGTT), FINDRISC had a sensitivity and specificity of 39.1% and 69.2%, respectively (aROC = 0.5). The FINDRISC score significantly correlated with MetS (p = 0.001). Conclusion: In this study, FINDRISC has shown low sensitivity and specificity in the screening of pre-diabetes/T2D. However, it has potential utility in the screening of MetS in a young-adult population.

Risk of developing type 2 diabetes according to FINDRISC and socioeconomic status

The risk of developing type 2 diabetes (T2D) is significantly related to low socioeconomic status (SES) in developed countries, but there is a dearth of evidence for such a relationship in developing countries. We aimed to verify the relationship between the risk-frequency of developing T2D and SES in a local population of Argentina. This was a cross-sectional study. We interviewed 150 people 45–64 years of age living in a district of Ensenada municipality (Buenos Aires, Argentina). For the interview we used three questionnaires: (i) one to record identification data anonymously, (ii) the Finnish Diabetes Risk Score (FINDRISC), and (iii) a questionnaire collecting information about educational level and the total household income. Statistical analysis was performed with parametric or non-parametric tests as appropriate. The interviewed were mostly women (56%) with an average low education and income level; 40% presented a moderate to very high risk for developing T2D, whereas 60% presented a low (24.7%) or slightly high (35.3%) risk. The risk score increased significantly with lower SES. Moreover, respondents that reached a higher education level than their parents showed a non-significantly lower average FINDRISC score than those who did not reach this improvement. Our data show, in a developing country, an inverse relationship between the risk of developing T2D and SES.

Expanding the Finnish Diabetes Risk Score for Predicting Diabetes Incidence in People Living with HIV.

This study investigated whether the predictive ability of the Finnish Diabetes Risk Score (FINDRISC) can be improved among people with HIV by adding a marker of insulin resistance. In this longitudinal analysis of the Multicenter AIDS Cohort Study and the Women's Interagency HIV Study, HIV-positive and HIV-negative participants without prevalent diabetes were included. FINDRISC score and the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) were calculated at baseline. Cox proportional hazards models were used to examine associations between baseline risk scores and time to incident diabetes (first self-report of diabetes medication use). Model discrimination (Uno's c-statistic) and calibration (observed vs. cumulative probability of diabetes) were assessed for FINDRISC, HOMA-IR, and combined FINDRISC and HOMA-IR. Overall, 2,527 men (1,299 HIV-positive and 1,228 HIV-negative, median age = 44) and 2,446 women (1,841 HIV-positive and 605 HIV-negative, median age = 41) were included. Over 47,040 person-years of follow-up, diabetes incidence rates per 1,000 person-years were 9.5 in HIV-positive men, 7.1 in HIV-negative men, 14.5 in HIV-positive women, and 15.1 in HIV-negative women. FINDRISC discrimination (HIV-positive men c = 0.64 [0.55, 0.74], HIV-negative men c = 0.74 [0.68, 0.79], HIV-positive women c = 0.68 [0.64, 0.71], and HIV-negative women c = 0.73 [0.66, 0.79]) was significantly better than that of HOMA-IR. FINDRISC was better calibrated than HOMA-IR in each of the four groups. Adding HOMA-IR did not improve FINDRISC discrimination/calibration. Diabetes risk prediction with FINDRISC was suboptimal in men and women with HIV, and its performance was not improved with addition of HOMA-IR. The optimal method for identifying people living with HIV at-risk for diabetes is yet to be identified.

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

Background: Diabetes mellitus is a real public health problem worldwide and is growing in developing countries. Our aim was to determine the prevalence of undiagnosed type 2 diabetes mellitus (T2DM) and to evaluate the performance of the Finnish Diabetes Risk Score (FINDRISC) questionnaire to identify type 2 diabetics in the urban population of Ouagadougou, Burkina Faso. Methodology: This was a cross-sectional study among volunteers aged 18 years and older recruited systematically from November 11 to 16, 2019, in the city of Ouagadougou, Burkina Faso, FINDRISC score was used. Analysis of the Receiver Operating Characteristic (ROC) curve was used to study the diagnostic performance of FINDRISC for the identification of type 2 diabetics. The optimal threshold was determined by the sum of the highest sensitivity and specificity. Multivariate logistic regression was used to analyze the association of each variable used in the calculation of the FINDRISC score. Results: A total of 1276 individuals were included in the analyses, of which 667 (52.27%) were women. The average age was 34.16 years (SD: ±12.42). The prevalence of T2DM was 10.74%. The mean FINDRISC score was 5.85 (SD: ±4.31). The majority (58.54%) of individuals had a low risk of diabetes according to the FINDRISC score 0 - 7, while 3.61% had a score ≥ 15. The FINDRISC score showed good performance (AUC = 0.70) in identifying undiagnosed type 2 diabetics. However, the variables in the score that best predicted the likelihood of being diabetic were age (p < 0.001), daily physical activity (p = 0.004), use of antihypertensive medication (p = 0.007) and waist circumference (p < 0.001). The optimal cut-off score ≥ 7 was the best predictor of the likelihood of having T2DM. Conclusion: The Finnish Risk Score (FINDRISC) is a good predictor of the risk of dysglycemia in Burkina Faso. It is a score to be promoted in daily clinical practice because it is easy to use, affordable and non-invasive. Further studies are needed to make modifications to the FINDRISC questionnaire in case it is applied to other ethnic groups.

Diabetes mellitus risk among Jordanians in a dental setting: a cross-sectional study

Dental offices can be useful to screen and identify patients at risk of developing diabetes mellitus (DM) using risk prediction tools. The Finnish Diabetes Risk Score (FINDRISC) is a validated, questionnaire-based tool used to predict the 10-year risk of developing type II DM. To determine the 10-year DM risk among Jordanians using the FINDRISC questionnaire in a dental setting. Participants attending two university dental teaching centres between March 2017 and February 2018 were interviewed using an Arabic translated version of the FINDRISC questionnaire. Anthropometrics including weight, height, waist circumference (WC) and body mass index (BMI) were recorded. Random capillary blood glucose level was measured for each participant. Statistical analysis was done using Chi-square and independent t-tests. A total of 1,247 (436 males and 811 females) participants were included. As defined by BMI, 1,012 (81.2%) participants were either overweight or obese. Abdominal adiposity as determined by WC was seen in 738 (59.2%) participants. The mean (± SD) FINDRISC score for females (11.3±4.3) was significantly higher (P=0.001) than males (10.4±4.9). After age adjustment, more females were in the high-risk categories (FINDRISC ≥ 15) compared with males. This trend was seen among all age groups, but was statistically significant in the older age groups; 55-64 years (P=0.037) and ≥ 65years (P=0.004). In a developing Middle Eastern country such as Jordan, almost half of Jordanians attending university dental clinics are at a moderate to high risk of developing type II DM in 10 years. The risk of DM should be considered in dental patients, particularly older females.

Association between the FINDRISC score and the risk of metabolic syndrome and hepatic steatosis

Abstract Introduction The Finnish Diabetes Risk Score (FINDRISC) was developed in Europe to predict type 2 diabetes mellitus (T2DM) risk without need of laboratory tests. Small cross-sectional studies analyzed the association between RF with metabolic syndrome (MS) or hepatic steatosis (HS). Our objective was to test the association of FINDRISC with MS or HS, in a transversal and longitudinal way. Methods In 41,668 individuals (age 41.9±9.7 years; 30.8% women) who underwent health evaluation between 2008 and 2016 in a single centre in Brazil, we tested the transversal association between FINDRISC and MS or HS, in multivariate models. The same analyzes were performed longitudinally in non-diabetic subgroups, followed for 5±3 years, to test the predictive value of FINDRISC and the incidental risk of MS (n=10,075 individuals) or HS (n=7,097 individuals), using logistic regression. Models were adjusted for confounders such as sex, use of medications for dyslipidemia, smoking, and baseline plasma levels of glucose, creatinine and lipids. A receiver operating characteristic (ROC) curve was used to evaluate the discriminative and predictive values of FINDRISC for MS and HS. Results In the cross-sectional analysis, 2,252 (5%) individuals had MS and 14,176 (34%) HS. In the longitudinal analysis, there were 302 cases of incidental MS (2%) and 1,096 cases of HS (15%). FINDRISC was independently associated with MS and HS in the cross-sectional analysis (respectively, OR 1.27, 95% CI: 1.25–1.28, P&amp;lt;0.001; and OR 1.21, 95% CI: 1.20–1.22, P&amp;lt;0.001, per FINDRISC unit) and in longitudinal analysis (respectively, OR of 1.18, 95% CI: 1.15–1.21, P&amp;lt;0.001; and OR of 1.10, 95% CI: 1.08–1.11, P&amp;lt;0.001, per FINDRISC unit). In comparison with individuals with low FINDRISC, those with moderate, high and very high values showed significant and proportional increases of the 12 to 77 fold in the chance of current SM (P&amp;lt;0.001) and 3 to 10 fold in the chance of HS (P&amp;lt;0.001). During follow-up, these increases were 3 to 10 fold in the chance of incidental MS (P&amp;lt;0.001) and 1 to 3 fold in the chance of HS (P&amp;lt;0.001). The AUC from cross-sectional analysis for MS and HS were respectively 0.82 (95% CI 0.81–0.83) and 0.76 (95% CI 0.75–0.76), and in longitudinal analysis 0.73 (95% CI 0.70–0.76) and 0.63 (95% CI 0.61–0.65), respectively. Conclusion FINDRISC was associated with the presence and onset of MS and HS, but it predicted better metabolic syndrome risk than hepatic steatosis. Therefore, this simple, practical and low-cost score can be useful for population screening and identification of subgroups of individuals at higher risk future metabolic diseases. Funding Acknowledgement Type of funding source: None

Diabetes Risk Profile for an Argeş County Adult Sample – Findrisc Score Characteristics

Abstract The prevalence of diabetes has doubled in the last 4 decades in Romania. Our goal was to identify the risk profile in a group of Argeş county patients based on the Finnish Diabetes Risk Score (FINDRISC) score and main variables analysed. Our study was based on a pilot study on a group of 103 patients. The Finnish Diabetes Risk Score was used to calculate the risk of developing diabetes for our patients. In our group, the FINDRISC score was not statistically significantly correlated with body mass index, but was statistically significantly correlated with hypertriglyceridemia, low HDL-Cholesterol levels, hyperuricemia, hyperglycemia, and hypertension. The older you get, the higher your risk of developing diabetes. The present study demonstrates the importance of lifestyle in terms of the risk of developing diabetes, supporting the need to implement more effective health education measures on a balanced lifestyle and establishing interdisciplinary mechanisms of collaboration between physician, nutritionist and psychologist to promote health.

Utilização do Finnish Diabetes Risk Score (FINDRISC) como ferramenta para identificação, prevenção e conscientização da diabetes mellitus em adultos da cidade de Santos

Avaliar a funcionalidade da ferramenta Finnish Diabetes Risk Score (FINDRISC) na identificação, prevenção e conscientização da Diabetes mellitus tipo2 (DM2) na cidade de Santos. Trata-se de um estudo transversal, analítico e descritivo. Foram avaliadas 96 pessoas e os participantes foram entrevistados, realizou-se a aferição da pressão arterial (PA), medições antropométricas, glicemia capilar de jejum (GCJ) e analisados os resultados obtidos no FINDRISC. Para análise estatística, aplicaram-se nos dados a análise de variância e teste do qui-quadrado. A prevalência de DM2 foi de 17%. Entre os fatores de risco modificáveis as maiores prevalências foram: Circunferência abdominal alterada (86%), IMC&gt;25kg/m² (75%), PA alterada (57%) e GCJ&gt;100mg/dL (48%). A maior associação para ocorrência de DM2 foi “antecedentes familiares” com aumento de risco em 3,3 vezes (P&lt;0,02). Dos entrevistados que afirmaram não ter diagnóstico de DM2, 40% estava com o valor de GCJ acima de 100 mg/dL e 7,5% da amostra com valores acima de 126mg/dL sendo que destes, 85% apresentavam risco elevado em desenvolver DM2 pela pontuação FINDRISC. Os resultados demonstram a eficácia da ferramenta FINDRISC em identificar DM2 e a necessidade da realização das campanhas preventivas ou de promoção de saúde para o rastreamento e orientação de pessoas com elevado risco.

Evaluation of the Finnish Diabetes Risk Score (FINDRISC) for diabetes screening in Kayseri, Turkey

AimDiabetes is a major health problem worldwide, as its prevalence is increasing dramatically. Lifestyle modification can delay or prevent the onset of type 2 diabetes. Therefore, screening for prediabetes and type 2 diabetes risk through an assessment of risk factors is important. The objective of the study was to investigate the risk for type 2 diabetes using the Finnish Diabetes Risk Score (FINDRISC) in Kayseri. MethodsIn total, 1500 adults aged 18 years or older were interviewed using the FINDRISC as Diabetes Risk Questionnaire and fasting serum glucose levels. The findings of FINDRISC were grouped according to gender and a score of 15 and above was accepted as a high risk in terms of Type 2 diabetes. Results13.5% of the participants were in the high- risk group. There was a statistically significant relationship between total FINDRISC score and gender (p < 0.001). While 15.2% of the women were in the high -risk group, 12.4% of the men were in the high- risk group. The percentage of women in the low-risk group (35.9%) is less than the men with low- risk of diabetes (38.5%). As the BMI increased, the individuals were found to have a high risk evaluated with the use of FINDRISC. 14.3% of women with waist circumference >88 and 6.7% of men with waist circumference >102 were in the high- risk group. (p < 0.001) ConclusionsRisk of diabetes was found to be higher with the FINDRISC score as the BMI and waist circumference increased. FINDRISC can be used in the primary care for this purpose; fast and easy to be applied.

Aile hekimliğine başvuran bireylerde tip 2 diyabet risk düzeyinin belirlenmesi

Objevtive: Type 2 Diabetes Mellitus (T2DM) is a chronic metabolic disease and an important public health problem worldwide. T2DM is a progressive disease and can exist without symptoms for many years. Therefore, the risk of chronic complications and the burden of disease increase. The aim of this study was to determine the diabetes risk level of the individuals who applied to the family medicine outpatient clinic and to guide the high-risk patients for diagnosis and intervention. Methods: This descriptive study was carried out with the participation of 171 people who applied to family medicine outpatient clinics. The questionnaire form developed by the researchers was applied face to face; height, weight and waist circumference was measured. The questionnaire included questions about the socio-demographic characteristics, disease and health habits of the participants, as well as The Finnish Diabetes Risk Score (FINDRISC). The statistical significance level was taken as p˂0.05. Results: The median (25.p-75.p) age of participants is 41 (33-52) and 61.4% (n:105) of the subjects were female; the median body mass index (BMI) is 26,42 (23,83-31,14) kg/m2. The mean waist circumference of the women is 90,63±14,69 cm (mean±sd); and 99,53±12,81 cm for males. The median FINDRISC scores of all participants were 10 (6-13), while women were 11 (6-13) and men were 8 (5-13). According to the FINDRISC, %19.3 of the individuals were at a high-very high, %22.2 were at a moderate and %58.5 were at a slightly elevated-low risk of diabetes. There were positive and statistically significant correlation between FINDRISC score and age, BMI and waist circumference. Conclusion: It is important that clinicians especially family physicians, who serve the adult population should screen for patients who apply for any reason in terms of diabetes in their daily practices. FINDRISK can be used for this purpose; is a simple, inexpensive and clear scanning method as well as being quick and easy to implement.

Predicting diabetes risk among HIV-positive and HIV-negative women.

To assess the performance of an adapted American Diabetes Association (ADA) risk score and the concise Finnish Diabetes Risk Score (FINRISC) for predicting type 2 diabetes development in women with and at risk of HIV infection. Longitudinal analysis of the Women's Interagency HIV Study. The women's Interagency HIV Study is an ongoing prospective cohort study of women with and at risk for HIV infection. Women without prevalent diabetes and 3-year data on fasting blood glucose, hemoglobin A1c, self-reported diabetes medication use, and self-reported diabetes were included. ADA and FINRISC scores were computed at baseline and their ability to predict diabetes development within 3 years was assessed [sensitivity, specificity and area under the receiver operating characteristics (AUROC) curve]. A total of 1111 HIV-positive (median age 41, 60% African American) and 454 HIV-negative women (median age 38, 63% African-American) were included. ADA sensitivity did not differ between HIV-positive (77%) and HIV-negative women (81%), while specificity was better in HIV-negative women (42 vs. 49%, P = 0.006). Overall ADA discrimination was suboptimal in both HIV-positive [AUROC = 0.64 (95% CI: 0.58, 0.70)] and HIV-negative women [AUROC = 0.67 (95% CI: 0.57, 0.77)]. FINRISC sensitivity and specificity did not differ between HIV-positive (72 and 49%, respectively) and HIV-negative women (86 and 52%, respectively). Overall FINRISC discrimination was suboptimal in HIV-positive [AUROC = 0.68 (95% CI: 0.62, 0.75)] and HIV-negative women [AUROC = 0.78 (95% CI: 0.66, 0.90)]. Model performance was suboptimal in women with and at risk of HIV, while greater misclassification was generally observed among HIV-positive women. HIV-specific risk factors known to contribute to diabetes risk should be explored in these models.