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Finnish Diabetes Risk Score

Findrisc (finnish Diabetes Risk Score)

Findrisc (finnish Diabetes Risk Score)

Identifies patients at high risk for type 2 diabetes. Do you use the FINDRISCand want to contribute your expertise? Join our contributor team! Do you use the FINDRISCand want to contribute your expertise? Join our contributor team! Daily consumption of vegetables, fruits, or berries Lindstrm J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26(3):725-31. Zhang L, Zhang Z, Zhang Y, Hu G, Chen L. Evaluation of Finnish Diabetes Risk Score in screening undiagnosed diabetes and prediabetes among U.S. adults by gender and race: NHANES 1999-2010. PLoS ONE. 2014;9(5):e97865. Pottie K, Jaramillo A, Lewin G, et al. Recommendations on screening for type 2 diabetes in adults. CMAJ. 2012;184(15):1687-96. Jaana Lindstrm, PhD, MSC, is a researcher in the department of chronic disease prevention at the National Public Health Institute in Helsinki, Finland. Her research interests are centered around the prevention and prediction of diabetes. She has also published on nutrition and obesity. To view Dr. Jaana Lindstrm's publications, visit PubMed Jaakko Tuomilehto, MD, MA, PhD, FRCP, is chief scientific officer of Dasman Diabetes Institute in Kuwait City, Kuwait. He was previously professor emeritus of public health at the University of Helsinki in Finland and professor of vascular prevention at Danube-University Krems in Austria. Dr. Tuomilehto's research interests include epidemiology and prevention of non-communicable diseases such as diabetes, cancer, dementia, and cardiovascular disease. To view Dr. Jaakko Tuomilehto's publications, visit PubMed Continue reading >>

Evaluation Of The Finnish Diabetes Risk Score (findrisc) For Diabetes Screening In Occupational Health Care

Evaluation Of The Finnish Diabetes Risk Score (findrisc) For Diabetes Screening In Occupational Health Care

Evaluation of the Finnish Diabetes Risk Score (FINDRISC) for diabetes screening in occupational health care Groep IDEWE, External Service for Prevention and Protection at Work, Heverlee, Belgium Katholieke Universiteit Leuven, Leuven, Belgium(Occupational, Environmental and Insurance Medicine) Int J Occup Med Environ Health 2015;28(3):587591 occupational health services , workability assessment (fitness for work) , corporate occupational health strategy Objectives: The objective of the study was to investigate the prevalence of undiagnosed dysglycaemia and the risk for type 2 diabetes using the Finnish Diabetes Risk Score (FINDRISC) in the working population of Belgium. Moreover, it was to evaluate performance and applicability of FINDRISC as a screening tool during occupational health surveillance. Material and Methods: A cross-sectional analysis was carried out over the years 20102011 among 275 healthy employees who underwent a health check including fasting plasma glucose and the FINDRISC questionnaire. The sensitivity, specificity and predictive value of different FINDRISC cut-off values to detect dysglycaemia was revised in the literature and then calculated. Results: The prevalence of unknown dysglycaemia was 1.8%. Twelve percent of the employees had a FINDRISC score of 12 to 14 corresponding to a moderate risk of 17% to develop diabetes within the next 10 years, and 5.5% had a score of 15 or more corresponding to a high very high risk of 33% to 50%. All dysglycaemic individuals had a FINDRISC score of 12 or higher. The sensitivity and specificity for detecting dysglycaemia was respectively 100% and 84.1% for a FINDRISC cut-off value 12; and 80% and 95.9% for a cut-off value 15. Conclusions: A considerable number of workers had dysglycaemia or was at risk for dev Continue reading >>

Performance Of The Finnish Diabetes Risk Score And A Simplified Finnish Diabetes Risk Score In A Community-based, Cross-sectional Programme For Screening Of Undiagnosed Type 2 Diabetes Mellitus And Dysglycaemia In Madrid, Spain: The Spredia-2 Study

Performance Of The Finnish Diabetes Risk Score And A Simplified Finnish Diabetes Risk Score In A Community-based, Cross-sectional Programme For Screening Of Undiagnosed Type 2 Diabetes Mellitus And Dysglycaemia In Madrid, Spain: The Spredia-2 Study

Performance of the Finnish Diabetes Risk Score and a Simplified Finnish Diabetes Risk Score in a Community-Based, Cross-Sectional Programme for Screening of Undiagnosed Type 2 Diabetes Mellitus and Dysglycaemia in Madrid, Spain: The SPREDIA-2 Study * E-mail: [email protected] Affiliations: Subdireccin General de Investigacin Sanitaria, Consejera de Sanidad de Madrid, Madrid, Spain, MADIABETES Research Group. Madrid, Spain, Aging and Fragility in the Elderly Group- IdiPAZ, Madrid, Spain, Red de Investigacin en Servicios de Salud en Enfermedades Crnicas (REDISSEC), Madrid, Spain Affiliations: MADIABETES Research Group. Madrid, Spain, Aging and Fragility in the Elderly Group- IdiPAZ, Madrid, Spain, Red de Investigacin en Servicios de Salud en Enfermedades Crnicas (REDISSEC), Madrid, Spain, Direccin General de Salud Pblica, Subdireccin de Promocin, Prevencin y Educacin de la Salud, Consejera de Sanidad, Madrid, Spain Affiliation: Servicio de Medicina Interna, Hospital Carlos III, Madrid, Spain Affiliation: Servicio de Medicina Interna, Hospital Carlos III, Madrid, Spain Affiliations: MADIABETES Research Group. Madrid, Spain, Aging and Fragility in the Elderly Group- IdiPAZ, Madrid, Spain, Centro de Salud Monvar, Servicio Madrileo de Salud, Madrid, Spain Affiliation: Servicio de Medicina Interna, Hospital Carlos III, Madrid, Spain Affiliation: Servicio de Medicina Interna, Hospital Carlos III, Madrid, Spain Affiliation: Servicio de Medicina Interna, Hospital Carlos III, Madrid, Spain Affiliation: Servicio de Medicina Interna, Hospital Carlos III, Madrid, Spain Affiliation: Hospital Carlos III, Madrid, Spain Affiliation: Hospital de Fuenlabrada, Madrid, Spain Affiliation: Hospital Carlos III, Madrid, Spain Affiliation: Hospital Carlos III, Madrid, Spain Affili Continue reading >>

Validity Of The Finnish Diabetes Risk Score For Detecting Undiagnosed Type 2 Diabetes Among General Medical Outpatients In Botswana

Validity Of The Finnish Diabetes Risk Score For Detecting Undiagnosed Type 2 Diabetes Among General Medical Outpatients In Botswana

Validity of the Finnish Diabetes Risk Score for Detecting Undiagnosed Type 2 Diabetes among General Medical Outpatients in Botswana 1Department of Internal Medicine, University of Botswana, Private Bag UB 00713, Gaborone, Botswana 2Department of Public Health, University of Botswana, Private Bag UB 00713, Gaborone, Botswana 3Department of Family Medicine, University of Botswana, Private Bag UB 00713, Gaborone, Botswana 4Department of Ophthalmology, University of Botswana, Private Bag UB 00713, Gaborone, Botswana 5Department of Psychology, University of Botswana, Private Bag UB 00713, Gaborone, Botswana Received 4 May 2016; Accepted 28 August 2016 Copyright 2016 Bernard Omech et al. This is an open access article distributed under the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This was a cross-sectional study designed to assess the validity of the Finnish Diabetes Risk Score for detecting undiagnosed type 2 diabetes among general medical outpatients in Botswana. Participants aged 20 years without previously diagnosed diabetes were screened by (1) an 8-item Finnish diabetes risk assessment questionnaire and (2) Haemoglobin A1c test. Data from 291 participants were analyzed (74.2% were females). The mean age of the participants was 50.1 (SD = 11) years, and the prevalence of undiagnosed diabetes was 42 (14.4%) with no significant differences between the gender (20% versus 12.5%, ). The area under curve for detecting undiagnosed diabetes was 0.63 (95% CI 0.550.72) for the total population, 0.65 (95% CI: 0.560.75) for women, and 0.67 (95% CI: 0.520.83) for men. The optimal cut-off point for detecting undiagnosed diabetes was 17 (sensitivity = 48% and speci Continue reading >>

Know Your Risk Of Type 2 Diabetes

Know Your Risk Of Type 2 Diabetes

The International Diabetes Federation (IDF) has estimated that globally as many as 193 million people, or close to half of all adults currently living with diabetes, are unaware of their disease. Most of these cases are type 2 diabetes. IDF has created an online diabetes risk assessment which aims to predict an individual’s risk of developing type 2 diabetes within the next ten years. The test is based on the Finnish Diabetes Risk Score (FINDRISC) developed and designed by Adj. Prof Jaana Lindstrom and Prof. Jaakko Tuomilehto from the National Institute for Health and Welfare, Helsinki, Finland. The test takes only a couple of minutes to complete. It is a quick, easy, and confidential way to find out your risk of developing type 2 diabetes. If you are a resident of one of the countries below, click on the links to access your country-specific online risk assessment. Continue reading >>

The Performance Of The Finnish Diabetes Risk Score, A Modified Finnish Diabetes Risk Score And A Simplified Finnish Diabetes Risk Score In Community-based Cross-sectional Screening Of Undiagnosed Type 2 Diabetes In The Philippines - Sciencedirect

The Performance Of The Finnish Diabetes Risk Score, A Modified Finnish Diabetes Risk Score And A Simplified Finnish Diabetes Risk Score In Community-based Cross-sectional Screening Of Undiagnosed Type 2 Diabetes In The Philippines - Sciencedirect

Volume 7, Issue 4 , December 2013, Pages 249-259 The performance of the Finnish Diabetes Risk Score, a modified Finnish Diabetes Risk Score and a simplified Finnish Diabetes Risk Score in community-based cross-sectional screening of undiagnosed type 2 diabetes in the Philippines Author links open overlay panel Grace M.V.Ku The performance of the Finnish Diabetes Risk Score (FINDRISC) and 2 modifications in community screening for undiagnosed type 2 diabetes (UDD) in the Philippines was evaluated. Active community-based screening for diabetes was conducted where FINDRISC assessment was done. Modified (modFINDRISC) and simplified (simpFINDRISC) versions were rendered based on Asian standards, study results, and local context. Diabetes was diagnosed through 2 separate blood glucose tests. Areas under the receiver operating characteristic curve (ROC-AUC) and statistics for diagnostic tests for FINDRISC and the modifications were analyzed. Complete data was collected from 1752 people aged 2092; 8.6% tested positive for diabetes. ROC-AUC for UDD were 0.738 (FINDRISC), 0.743 (modFINDRISC) and 0.752 (simpFINDRISC). The differences between the FINDRISC and the modifications were not statistically significant (p=0.172). The performance of all 3 risk score calculators in the screening for UDD in the Philippines was good and may be useful in populations having similar characteristics. Considering the setting and resource constraints, the simpFINDRISC is preferred. Continue reading >>

Findrisc Diabetes Risk Calculator

Findrisc Diabetes Risk Calculator

AS: Aortic Valve Area (Cont)Estimate aortic valve area AS: Aortic Valve Area (DVI)Estimate aortic valve area AS: Aortic Valve Area (Gorlin)Estimate aortic valve area AS: Aortic Valve Area (Hakki)Estimate aortic valve area Surgery in Asymptomatic Aortic StenosisAssess timing of surgery in severe, asymptomatic aortic stenosis Aortic Stenosis Risk ScoreEstimate risk of cardiovascular events in patients with aortic stenosis HCM Risk-SCDAssess risk of sudden cardiac death and need for ICD in hypertrophic cardiomyopathy ADviSED - Aortic Dissection Detection Risk Score Plus D-Dimer for Aortic SyndromesRule out aortic dissection and other aortic syndromes Bleeding Risk in Atrial Fibrillation: OBRIThe Outpatient Bleeding Risk Index (OBRI) estimates risk of bleeding in AF while on oral anticoagulation. CHADS2 Score for AFAssess risk of stroke in atrial fibrillation CHA2DS2-VASc Score for AFReplacement for CHADS2 for stroke prediction in atrial fibrillation Bleeding Risk in Atrial Fibrillation: HAS-BLED ScoreUnderstand the risk of bleeding from anticoagulation in atrial fibrillation Warfarin Bleeding Risk - ElderlyEstimate 90 day risk of bleeding in patients on warfarin who are >65 years Bleeding Risk in Atrial Fibrillation: ATRIA Estimate bleeding risk for patients on warfarin. Bleeding Risk in Atrial Fibrillation: OBRIThe Outpatient Bleeding Risk Index (OBRI) estimates risk of bleeding in AF while on oral anticoagulation. CRUSADE Score for Post-MI Bleeding RiskEstimate bleeding risk after NSTEMI. Bleeding Risk in Atrial Fibrillation: HAS-BLED ScoreUnderstand the risk of bleeding from anticoagulation in atrial fibrillation Warfarin Bleeding Risk - ElderlyEstimate 90 day risk of bleeding in patients on warfarin who are >65 years MR: Quantification (PISA) MR: Quantification (Volum Continue reading >>

Validation Of The Finnish Diabetes Risk Score (findrisc) Questionnaire For Screening For Undiagnosed Type 2 Diabetes, Dysglycaemia And The Metabolic Syndrome In Greece - Em|consulte

Validation Of The Finnish Diabetes Risk Score (findrisc) Questionnaire For Screening For Undiagnosed Type 2 Diabetes, Dysglycaemia And The Metabolic Syndrome In Greece - Em|consulte

Received:24June2010; accepted:7September2010 Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece Validation du questionnaire finlandais calculant un score de risque de diabte (FINDRISC) pour le dpistage du diabte de type 2, des anomalies de la glycorgulation et du syndrome mtabolique en Grce , S.Liatis a , S.Grammatikou a , D.Perrea b , C.Stathi a , P.Tsiligros a , N.Katsilambros a , b aFirst Department of Propaedeutic Medicine, Athens University Medical School, Laiko General Hospital, 17, Ag. Thoma street, 11527 Athens, Greece bLaboratory for Experimental Surgery and Surgical Research, Christeas Hall, University of Athens Medical School, Athens, Greece Corresponding author. Tel.: +30 213 2061061; fax: +30 210 7791839. The present study aimed to validate the Finnish Type 2 Diabetes Risk Score (FINDRISC) questionnaire for its ability to predict the presence of any glucose homoeostasis abnormalities and the metabolic syndrome (MetS) in the Greek population. Validation was performed on a sample of individuals who had agreed to participate in a screening program for type 2 diabetes (T2D) prevention (the Greek part of the DEPLAN study), using both FINDRISC and oral glucose tolerance tests (OGTT). Impaired fasting glucose (IFG) was defined as a fasting plasma glucose level of 6.16.9mmol/L, and impaired glucose tolerance (IGT) as a 2-h plasma glucose of 7.811.0mmol/L. The predictive value of the FINDRISC was cross-sectionally evaluated using the area under the receiver operating characteristic (AUROC) curve method. A total of 869 individuals (379 men, aged 56.210.8 years) were screened from the general population living in the city and suburbs of Athens. OGTT re Continue reading >>

Adapting Existing Diabetes Risk Scores For An Asian Population: A Risk Score For Detecting Undiagnosed Diabetes In The Mongolian Population

Adapting Existing Diabetes Risk Scores For An Asian Population: A Risk Score For Detecting Undiagnosed Diabetes In The Mongolian Population

Adapting existing diabetes risk scores for an Asian population: a risk score for detecting undiagnosed diabetes in the Mongolian population Most of the commonly used diabetes mellitus screening tools and risk scores have been developed with American or European populations in mind. Their applicability, therefore, to low and middle-income countries remains unquantified. Simultaneously, low and middle-income countries including Mongolia are currently witnessing rising diabetes prevalence. This research aims to develop and validate a diabetes risk score for the screening of undiagnosed type 2 diabetes mellitus in the Mongolian adult population. Blood glucose measurements from 1018 Mongolians, as well as information on demography and risk factors prevalence was drawn from 2009 STEPS data. Existing risk scores were applied, measuring sensitivity using area under ROC-curves. Logistic regression models were used to identify additional independent predictors for undiagnosed diabetes. Finally, a new risk score was developed and Hosmer-Lemeshow tests were used to evaluate the agreement between the observed and predicted prevalence. The performance of existing risk scores to identify undiagnosed diabetes was moderate; with the area under ROC curves between 6164 %. In addition to well-established risk factors, three new independent predictors for undiagnosed diabetes were identified. Incorporating these into a new risk score, the area under ROC curves increased to 77 % (95 % CI 71 %82 %). Existing European or American diabetes risk tools cannot be adopted in Asian countries without prior validation in the specific population. With this in mind, a low-cost, reliable screening tool for undiagnosed diabetes was developed and internally validated for Mongolians. The potential for cost Continue reading >>

Finnish Diabetes Risk Score Identifies Benefits Of Lifestyle Intervention

Finnish Diabetes Risk Score Identifies Benefits Of Lifestyle Intervention

Finnish Diabetes Risk Score Identifies Benefits of Lifestyle Intervention This article is intended for primary care clinicians, endocrinologists, diabetologists, and other specialists who care for patients at risk for type 2 diabetes. The goal of this activity is to provide medical news to primary care clinicians and other healthcare professionals in order to enhance patient care. Upon completion of this activity, participants will be able to: Describe the efficacy of the Finnish Diabetes Risk Score in identifying high-risk groups that would benefit from intensive lifestyle intervention to prevent type 2 diabetes. Describe the efficacy of other risk factors in identifying high-risk groups that would benefit from intensive lifestyle intervention to prevent type 2 diabetes. As an organization accredited by the ACCME, Medscape, LLC requires everyone who is in a position to control the content of an education activity to disclose all relevant financial relationships with any commercial interest. The ACCME defines "relevant financial relationships" as financial relationships in any amount, occurring within the past 12 months, including financial relationships of a spouse or life partner, that could create a conflict of interest. Medscape, LLC encourages Authors to identify investigational products or off-label uses of products regulated by the US Food and Drug Administration, at first mention and where appropriate in the content. Disclosure: Laurie Barclay, MD, has disclosed no relevant financial relationships. Disclosure: Brande Nicole Martin has disclosed no relevant financial information. Disclosure: Laurie Barclay, MD, has disclosed no relevant financial relationships. Medscape, LLC is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to p Continue reading >>

The Finnish Diabetes Risk Score Did Not Perform Well As A Screening Tool For Type 2 Diabetes

The Finnish Diabetes Risk Score Did Not Perform Well As A Screening Tool For Type 2 Diabetes

The Finnish Diabetes Risk Score did not perform well as a screening tool for type 2 diabetes A recent UK Health Technology Assessmen t pointed out the problems with screening for type 2 diabetes. However, research continues into the performance of tools to detect type 2. On the basis of this paper, we wont be changing that advice any time soon. This community screening study was undertaken in urban settings in the Philippines. A stratified random sample was taken of registered health service users, who were invited to participate. Trained researchers gave them the FINDRISC questionnaire, and diabetes status was measured using a blood glucose test. The gold standard of diagnosis was from two separate fasting blood glucose tests. The thresholds were: Prediabetes: FBG 100-125 mg/dl (5.6-6.9 mmol/l) or 2h OGTT > 140-199 mg/dl (7.8-11 mmol/l) Diabetes: FBG 126 mg/dl (7.0 mmol/l) or 2h OGTT > 200 mg/dl (11.1 mmol/l) Two modifications were made to the FINDRISC questionnaire to particularise it to the local population (e.g. by adjusting body size norms). These were assessed separately. 1,789 people took part. They all had FINDRISC assessments and a preliminary blood glucose test. 491 of them were selected for further glucose testing on the basis of this test showing elevated blood glucose. The researchers compared the FINDRISC scores against the likelihood of having diabetes and calculated Area Uncer the Curve (AUC) for the FINDRISC instrument in diagnosing diabetes. They also measured the likelihood ratios (LR) of specific levels of cut-off for the FINDRISC score. These were: Continue reading >>

The Finnish Diabetes Risk Score (findrisc) And Increased Body Weight | Pekar | Journal Of Medical Science

The Finnish Diabetes Risk Score (findrisc) And Increased Body Weight | Pekar | Journal Of Medical Science

The Finnish Diabetes Risk Score (FINDRISC) and increased body weight Joanna Pekar, Rafa Mazur, Magorzata Kozilewicz, Aleksandra Jwiak, Anna Olszewska, Katarzyna Skrzyska-Dziduszko Introduction. The Finnish Diabetes Risk Score (FINDRISC) assesses the 10-year type 2 diabetes risk in adults by identifying individuals with overweight or obesity, inadequate physical activity, poor nutrition, or afamily or personal history of hyperglycaemia. Aim. The objective of the study was to analyse the effect of FINDRISC components, particularly overweight/obesity, on the total FINDRISC score of randomly selected individuals. Material and methods. The study was conducted in 2015 on 91 individuals 45 women and 46 men. We determined FINDRISC score and measured blood pressure twice. The results were analysed in STATISTICA 10 at p<0.05. Results. Thirty subjects (32.97%) were overweight (BMI 2529.9kg/m2) and 12 (13.19%) were obese (BMI >= 30kg/m2); 25 (27.47%) had high waist circumference (M: 94102cm; F: 8088cm) and 24 (26.37%) abdominal obesity (M: >102cm; F: >88cm). Individuals with overweight/obesity, high waist circumference or abdominal obesity had significantly higher FINDRISC scores than those with normal body weight and waist circumference. Obese individuals showed astrong tendency (p=0.06) towards higher FINDRISC scores than overweight individuals, but no similar difference was noted between high waist circumference and abdominal obesity. Overweight and obese subjects had significantly higher blood pressure, but with no difference between them. Individuals with abdominal obesity, but not those with high waist circumference, had significantly higher blood pressure. Conclusions. Diabetes risk is increased by high waist circumference, but does not continue to increase with waist circu Continue reading >>

Relationship Between Finnish Diabetes Risk Score And Metabolic Syndrome, Vitamin D And Insulin Resistance In Women.

Relationship Between Finnish Diabetes Risk Score And Metabolic Syndrome, Vitamin D And Insulin Resistance In Women.

Allied Journal of Clinical Pathology Research Research Article - Allied Journal of Clinical Pathology Research (2017) Volume 1, Issue 1 Relationship between Finnish diabetes risk score and metabolic syndrome, vitamin d and insulin resistance in women. Nalbant A * , Aydn A, Eker S, Onmez A, Tamer A and Cinemre H Department of Internal Medicine, Sakarya University, Turkey Citation: Nalbant A, Aydin A, Eker S, et al. Relationship between Finnish diabetes risk score and metabolic syndrome, vitamin d and insulinresistance in women. Allied J Clinicl Path. 2017;1(1):4-8. Visit for more related articles at Allied Journal of Clinical Pathology Research Objective: The Finnish Diabetes Risk Score (FINDRISC) is thought to be associated with cardiovascular risk factors separately from type 2 diabetes. We aimed to evaluate the relationship between FINDRISC and metabolic syndrome, vitamin D and insulin resistance in this study. Methods: 115 women were recruited to study. Patients were divided into 5 groups according to FINDRISC score. Metabolic syndrome was assessed in patients with FINDRISC scores, body mass index (BMI), fasting blood glucose (FBG), HbA1c, insulin resistance index (HOMA-IR), high density lipoprotein cholesterol (HDL), triglyceride (TG), systolic and diastolic hypertension. Results: The mean age of the patients was 30.5 9 years, BMI was 32.4 6.2 kg/m2, waist circumference was 98 13 cm. HDL: 46.6 9, HOMA-IR: 3.6 2. There were (n=34) patients with metabolic syndrome and (n=81) patients without metabolic Syndrome. Patients were divided into 5 groups according to FINDRISC score. There was a significant positive correlation between metabolic syndrome and FINDISC score (Pearson Chi-square r=0.350, P=0.001). There was a significant difference between FINDRISC score and age, Continue reading >>

Evaluation Of The Finnish Diabetes Risk Score (findrisc) As A Screening Tool For The Metabolic Syndrome

Evaluation Of The Finnish Diabetes Risk Score (findrisc) As A Screening Tool For The Metabolic Syndrome

Evaluation of the Finnish Diabetes Risk Score (FINDRISC) as a Screening Tool for the Metabolic Syndrome 1Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran 2Department of Epidemiology and Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran 1Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran 2Department of Epidemiology and Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran Address correspondence to: Mohsen Janghorbani, e-mail: [email protected] Received 2014 Jan 10; Revised 2014 Jan 20; Accepted 2014 Feb 2. Copyright 2013, SBDR - Society for Biomedical Diabetes Research This article has been cited by other articles in PMC. OBJECTIVES: Traditionally, the Finnish Diabetes Risk Score (FINDRISC) questionnaire is a screening tool to estimate risk of type 2 diabetes. In this study, we evaluated the ability of FINDRISC to predict the development of the metabolic syndrome (MetS) in an Iranian population without diabetes and MetS. METHODS: A total of 1,010 first-degree relatives of consecutive patients with type 2 diabetes, 30-70 years old (274 men and 736 women), without diabetes and MetS, were examined and followed up over 8.0 1.6 years (mean SD) for MetS incidence. The incidence of MetS was examined across quartiles of FINDRISC, and a receiver operating characteristic (ROC) curve was plotted to assess the discrimination. At baseline and through follow-ups, participants underwent a standard 75 g 2-hour oral glucose tolerance test (OGTT). Data for determining FINDRISC were available from each participant. RESULTS: During 8,089 person-years of follow-up, 69 men and 209 women without Continue reading >>

Preventing Chronic Disease | Screening Performance Of Diabetes Risk Scores Among Asians And Whites In Rural Kerala, India - Cdc

Preventing Chronic Disease | Screening Performance Of Diabetes Risk Scores Among Asians And Whites In Rural Kerala, India - Cdc

Screening Performance of Diabetes Risk Scores Among Asians and Whites in Rural Kerala, India This page was updated on July 11, 2013, to incorporate the corrections in Vol. 10 Thirunavukkarasu Sathish, MBBS, MPH; Srinivasan Kannan, PhD; Sankara P. Sarma, PhD; Kavumpurathu Raman Thankappan, MD, MPH Suggested citation for this article: Sathish T, Kannan S, Sarma SP, Thankappan KR. Screening Performance of Diabetes Risk Scores Among Asians and Whites in Rural Kerala, India. [Erratum appears in Prev Chronic Dis 2013;10. .] Prev Chronic Dis 2012;10:120131. DOI: . We compared the screening performance of risk scores for Asians and whites for diabetes, dysglycemia, and metabolic syndrome. Our subjects were 451 people aged 15 to 64 years who participated in a cohort study from May 2003 through September 2010 in a rural area of the Thiruvananthapuram district of Kerala, India. All outcome measures showed overlap in the range of area under the receiver operating characteristic curves of Asian and white diabetes risk scores (DRSs). Asian and white DRSs performed similarly in rural India. Although mass screening for diabetes is not practical or recommended, selective screening through risk scores is feasible, convenient, and cost effective. Most diabetes risk scores (DRSs) have been developed and validated among whites (17); evidence on their screening performance in Asians is limited (8,9). We compared the screening performance of Asian and white DRSs for diabetes, dysglycemia, and metabolic syndrome in rural India. In 2003, a large-scale cross-sectional survey on risk factors for noncommunicable diseases was conducted among 7,449 people aged 15 to 64 years in urban, slum, and rural areas of the Thiruvananthapuram district of Kerala, India (10). From the rural sample of the survey Continue reading >>

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