scholarly journals Prevalence of type 2 diabetes using Indian diabetes risk score and its risk factors in a rural area of Tamil Nadu, India

2017 ◽  
Vol 4 (8) ◽  
pp. 2778
Author(s):  
Sathiya Narayanan S. ◽  
Shankar S. ◽  
Padmini S. K.
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Rural Area ◽  
Risk Score ◽  
Tamil Nadu ◽  
Diabetes Risk ◽  
Risk Category ◽  
Screening Programs ◽  
Management Of Complications ◽  
Diabetes Risk Score

Background: Currently the number of cases of diabetes worldwide is estimated to be around 150 million. This number is predicted to double by 2025, with the greatest number of cases being expected in China and India. In countries like India, there is also a lack of awareness about the existing interventions for preventing diabetes and the management of complications. This underscores the need for mass awareness and screening programs to identify and overcome the burden due to diabetes in India. The aim and objectives of the study was to find out the people at risk of developing diabetes using a simple risk factor scoring in a rural area in Tamil NaduMethods: A community based cross-sectional study was carried out from June 2016 to August 2016 among 974 participants in the three rural blocks in Kancheepuram district of Tamil Nadu. A house to house visit was made and all population above 35 years of age, presenting on the day of survey were included in the study. Socio-demographic variables, risk factors were collected using a pre-tested structured questionnaire and High Risk Analysis for diabetes was done as per Indian Diabetes Risk Score (IDRS).Results: Out of 974 study subjects, 62 (6.34%) of them reported that they had diabetes. Based on the screening tool, 253 subjects were found to be in the high risk category (score >60). Proportion of subjects with high risk score in the self-reported diabetes group (58.07%) were high compared to apparently normal group (23.79%) and this difference was statistically significant (p<0.05) using Chi Square test.Conclusions: This study estimates the usefulness of simplified Indian diabetes risk score for identifying high risk diabetic subjects in the community. Use of the IDRS can make mass screening for diabetes in India more cost effective.

scholarly journals Assessment of risk of developing diabetes using Indian diabetes risk score in the urban field practice area of Rajarajeswari Medical College and Hospital, Bangalore

2019 ◽  
Vol 7 (1) ◽  
pp. 170
Author(s):  
Nazia N. Shaik ◽  
Swapna M. Jaswanth ◽  
Shashikala Manjunatha
Keyword(s):  
At Risk ◽  
High Risk ◽  
Risk Score ◽  
Diabetes Risk ◽  
Low Risk ◽  
Risk Category ◽  
Moderate Risk ◽  
Medical College ◽  
Field Practice ◽  
Diabetes Risk Score

Background: Diabetes is one of the largest global health emergencies of the 21st century. As per International Federation of Diabetes some 425 million people worldwide are estimated to have diabetes. The prevalence is higher in urban versus rural (10.2% vs 6.9%). India had 72.9 million people living with diabetes of which, 57.9% remained undiagnosed as per the 2017 data. The objectives of the present study were to identify subjects who at risk of developing Diabetes by using Indian diabetes risk score (IDRS) in the Urban field practice area of Rajarajeswari Medical College and Hospital (RRMCH).Methods: A cross sectional study was conducted using a Standard questionnaire of IDRS on 150 individuals aged ≥20 years residing in the Urban field practice area of RRMCH. The subjects with score <30, 30-50, >or =60 were categorized as having low risk, moderate risk and high risk for developing diabetes type-2 respectively.Results: Out of total 150 participants, 36 (24%) were in high-risk category (IDRS≥60), the majority of participants 61 (41%) were in the moderate-risk category (IDRS 30–50) and 53 (35%) participants were found to be at low-risk (<30) for diabetes. Statistical significant asssociation was found between IDRS and gender, literacy status, body mass index (p<0.0000l).Conclusions: It is essential to implement IDRS which is a simple tool for identifying subjects who are at risk for developing diabetes so that proper intervention can be carried out at the earliest to reduce the burden of diabetes.

scholarly journals Prediction of the risk of developing diabetes mellitus among Bangladeshi adults by using risk assessment score

2019 ◽  
Vol 10 (1) ◽  
pp. 40-47
Author(s):  
Nazma Akter
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Risk Assessment ◽  
Blood Glucose ◽  
High Risk ◽  
Risk Score ◽  
Diabetes Risk ◽  
High Blood Glucose ◽  
History Of ◽  
Diabetes Risk Score

Background: Diabetes mellitus (DM) is considered as one of the major health problems worldwide. The rising prevalence of type 2 diabetes mellitus (T2DM) in Bangladesh is primarily attributed to rapid urbanization and associated changes in lifestyle, such as sedentary lifestyle, higher calorie food intake and stressful life. Studies support the utilization of riskassessment scoring systems in quantifying individual’s risk for developing T2DM. Thus, a simple risk-assessment scoring system for early screening of T2DM among Bangladeshi adults will be beneficial to identify the high-risk adults and thus taking adequate preventive measures in combating DM.The purpose of the study was to calculate the risk assessment score of developing T2DM within 10 years among Bangladeshi adults. Methods: The cross-sectional observational study was carried out in the outpatient department (OPD) of Medicine, MARKS Medical College & Hospital, a tertiary care hospital in Dhaka, Bangladesh from February 2018 to July 2018 among randomly sampled 205 adult subjects. Subjects undiagnosed with diabetes mellitus and had previous history of high blood glucose during pregnancy or other health examination (i.e. impaired fasting glucose, impaired glucose tolerance or gestational diabetes mellitus) were included. From a review of literature regarding risk factors of developing DM in Bangladesh, the Finnish Diabetes Risk Score (FINDRISC) system was found to be more useful for the Bangladeshi adults. The Finnish Diabetes Risk Score (FINDRISC) questionnaire was used to collect the data including demographic characteristics and different risk factors and to calculate total risk score for predicting the risk of developing T2DM within 10 years. Results: Among 205 subjects, male and female were 57.1% and 42.9% respectively. The Mean (±SD) age of the study subjects was 37.64±1.07 years. In this study, both non-modifiable and modifiable risk factors showed statistically significant association with the FINDRISC among Bangladeshi adults (p<0.05). There was a significant association among FINDRISC with history of previous high blood glucose, and treated hypertensive Bangladeshi adults.33.65% of the Bangladeshi adults had slightly elevated diabetes risk score (DRS). This study predicts that 17.55% of the Bangladeshi adults may have moderate to high risk to develop T2DM within the consecutive 10 years. Conclusion: This study provides a simple, feasible, non-invasive and convenient screening FINDRISC tool that identifies individuals at risk of having T2DM. People with high risk of DM should be referred for early intervention and changes to a healthy lifestyle and primary prevention to prevent or delay the onset of T2DM. Birdem Med J 2020; 10(1): 40-47

scholarly journals Prediction of risk of type 2 diabetes mellitus using Indian diabetes risk score: a cross sectional study in urban field practice area of a medical college, Bagalkot

2018 ◽  
Vol 5 (7) ◽  
pp. 2853
Author(s):  
Basavaraj S. Mannapur ◽  
Bhagyalaxmi S. Sidenur ◽  
Ashok S. Dorle
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Cross Sectional Study ◽  
Diabetes Risk ◽  
Risk Category ◽  
Cross Sectional ◽  
Medical College ◽  
High Risk Category ◽  
Field Practice ◽  
Diabetes Risk Score

Background: Diabetes is considered as a global emergency where a person dies from diabetes every 6 seconds and diabetes is seen on 1 in 11 adults. Identification of individuals who are at risk is very much necessary to prevent diabetes in India. IDRS could also help to detect people at risk of having prediabetes. The objective of the study were to estimate the prevalence of diabetes mellitus in the age group of >20 years in urban field practice area of S.N. Medical college, Bagalkot and to identify high risk subjects using Indian diabetes risk score (IDRS).Methods: A cross sectional study was done in urban field practice area of S.N. Medical College among adults >20 years of age with sample size of 207. Systematic random sampling was used to select the subjects. Data was collected using standardised questionnaire which included socio-demographic profile, standard glucometer was used to measure random blood glucose for all participants. IDRS was used to ascertain the risk of developing diabetes. Data was analysed using Pearson’s Chi square test and Fischer exact.Results: The overall prevalence of diabetes was 14.1%. Among 206 subjects, 4.8% were in low risk category. 39.6% and 55.1% were in moderate and high risk category respectively. Total of 11 subjects were newly diagnosed in our study. Among them 10 subjects were in the high risk category and 1 was in the low risk category. Sensitivity of IDRS was 90%, specificity 50%, positive predictive value 43.8% and negative predictive value 96.74%..Conclusions: This study estimates the usefulness of simplified Indian diabetes risk score for identifying high risk diabetic subjects in the community. It can be used routinely in commu­nity-based screening to find out high risk people for diabetes so that proper intervention can be done to reduce the burden of the disease. 

scholarly journals Diabetes Risk Score in a Young Student Population in Jordan: A Cross-Sectional Study

2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Abdel-Ellah Al-Shudifat ◽  
Amjad Al-Shdaifat ◽  
Ahmad Ali Al-Abdouh ◽  
Mohammad Ibrahim Aburoman ◽  
Sara Mohammad Otoum ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Risk Score ◽  
Plasma Glucose ◽  
Risk Group ◽  
High Risk Group ◽  
Student Population ◽  
Diabetes Risk ◽  
Young Student ◽  
Diabetes Risk Score

Background. The Middle East is the home to the most obese population in the world, and type 2 diabetes mellitus is endemic in the region. However, little is known about risk factors for diabetes in the younger age groups. Methods. The Finnish Diabetes Risk Score (FINDRISC) is a simple, validated tool to identify persons at risk of diabetes. We investigated students at Hashemite University in Jordan with FINDRISC and measured fasting plasma glucose in those who were categorized in the high-risk group. Results. Overall, 1821 students (881 [48.4%] female) were included in the study. Risk factors for diabetes were common: 422 (23.2%) were overweight or obese and 497 (27.3%) had central obesity. Using the FINDRISC score, 94 (5.2%) students were at moderate risk and 32 (1.8%) at high risk of diabetes. The mean FINDRISC score was significantly higher in men than women (5.9 versus 5.4; p=0.002). Twenty-eight students in the high-risk group had a subsequent plasma glucose measurement, and 8 (29%) of them fulfilled the diagnostic criteria for diabetes. Conclusions. Risk factors for diabetes were common in a young student population in Jordan, suggesting that preventive measures should be initiated early in adulthood to turn the diabetes epidemic in the region.

scholarly journals Validation of the Finnish diabetes risk score (FINDRISC) for the Caucasian population of Siberia

2016 ◽  
Vol 19 (2) ◽  
pp. 113-118 ◽  
Author(s):  
Svetlana V. Mustafina ◽  
Oksana D. Rymar ◽  
Olga V. Sazonova ◽  
Liliya V. Shcherbakova ◽  
Michail I. Voevoda
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Risk Score ◽  
Adult Population ◽  
Risk Groups ◽  
Diabetes Risk ◽  
Receiver Operating Curve ◽  
Siberian Population ◽  
Cross Sectional ◽  
Diabetes Risk Score

Aim. A validation of the Finnish diabetes risk score (FINDRISC) was conducted among the Siberian population. FINDRISC was used to study the prevalence of risk factors for type 2 diabetes mellitus (T2DM) and to estimate the incidence of T2DM in high-risk groups during a 10-year observation period. Materials and methods. A total of 9,360 subjects aged between 45 and 69 years were enrolled in this cross-sectional, population-based study. FINDRISC was used to group 8,050 people without diabetes according to their risk for T2DM. Statistical analysis was performed using SPSS. Results. When a cutoff point of 11 was used to identify those with diabetes, sensitivity was 76. 0% and specificity was 60. 2%. The area under the receiver operating curve for diabetes was 0. 73 (0. 73 for men and 0. 70 for women). More than one-third (31. 7%) of the adult population of Novosibirsk was estimated to have medium, high or very high risk of developing T2DM in the next 10 years. Cases of T2DM estimated to occur during the 10 years of follow-up had significantly higher incidence of risk factors such as BMI ≥30 kg/m2, waist circumference 102 cm in men and 88 cm in women and a family history of T2DM and were more likely to take drugs to lower blood pressure. Conclusion. FINDRISC provided good results in our sample, and we recommend its use in the Siberian population. 

scholarly journals A diabetes risk score for Qatar utilizing a novel mathematical modeling approach to identify individuals at high risk for diabetes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Susanne F. Awad ◽  
Soha R. Dargham ◽  
Amine A. Toumi ◽  
Elsy M. Dumit ◽  
Katie G. El-Nahas ◽  
...  
Keyword(s):  
High Risk ◽  
Sensitivity And Specificity ◽  
Risk Score ◽  
Area Under The Curve ◽  
Diabetes Risk ◽  
Predictive Values ◽  
Predictive Variables ◽  
Comparable Performance ◽  
Representative Random Sample ◽  
Diabetes Risk Score

AbstractWe developed a diabetes risk score using a novel analytical approach and tested its diagnostic performance to detect individuals at high risk of diabetes, by applying it to the Qatari population. A representative random sample of 5,000 Qataris selected at different time points was simulated using a diabetes mathematical model. Logistic regression was used to derive the score using age, sex, obesity, smoking, and physical inactivity as predictive variables. Performance diagnostics, validity, and potential yields of a diabetes testing program were evaluated. In 2020, the area under the curve (AUC) was 0.79 and sensitivity and specificity were 79.0% and 66.8%, respectively. Positive and negative predictive values (PPV and NPV) were 36.1% and 93.0%, with 42.0% of Qataris being at high diabetes risk. In 2030, projected AUC was 0.78 and sensitivity and specificity were 77.5% and 65.8%. PPV and NPV were 36.8% and 92.0%, with 43.0% of Qataris being at high diabetes risk. In 2050, AUC was 0.76 and sensitivity and specificity were 74.4% and 64.5%. PPV and NPV were 40.4% and 88.7%, with 45.0% of Qataris being at high diabetes risk. This model-based score demonstrated comparable performance to a data-derived score. The derived self-complete risk score provides an effective tool for initial diabetes screening, and for targeted lifestyle counselling and prevention programs.

scholarly journals Performance of the Achutha Menon Centre Diabetes Risk Score in Identifying Prevalent Diabetes in Tamil Nadu, India

2017 ◽  
Vol 41 (5) ◽  
pp. 386 ◽  
Author(s):  
Anu Mary Oommen ◽  
Vinod Joseph Abraham ◽  
Thirunavukkarasu Sathish ◽  
V. Jacob Jose ◽  
Kuryan George
Keyword(s):  
Risk Score ◽  
Tamil Nadu ◽  
Diabetes Risk ◽  
Diabetes Risk Score

A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study (Preprint)

2018 ◽  
Author(s):  
Angela YM Leung ◽  
Xin Yi Xu ◽  
Pui Hing Chau ◽  
Yee Tak Esther Yu ◽  
Mike KT Cheung ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Risk Group ◽  
Mobile App ◽  
Diabetes Risk ◽  
Undiagnosed Diabetes ◽  
Risk Level ◽  
Optimal Cutoff ◽  
Diabetes Risk Score

BACKGROUND To decrease the burden of diabetes in society, early screening of undiagnosed diabetes and prediabetes is needed. Integrating a diabetes risk score into a mobile app would provide a useful platform to enable people to self-assess their risk of diabetes with ease. OBJECTIVE The objectives of this study were to (1) assess the profile of Diabetes Risk Score mobile app users, (2) determine the optimal cutoff value of the Finnish Diabetes Risk Score to identify undiagnosed diabetes and prediabetes in the Chinese population, (3) estimate users’ chance of developing diabetes within 2 years of using the app, and (4) investigate high-risk app users’ lifestyle behavior changes after ascertaining their risk level from the app. METHODS We conducted this 2-phase study among adults via mobile app and online survey from August 2014 to December 2016. Phase 1 adopted a cross-sectional design, with a descriptive analysis of the app users’ profile. We used a Cohen kappa score to show the agreement between the risk level (as shown in the app) and glycated hemoglobin test results. We used sensitivity, specificity, and area under the curve to determine the optimal cutoff value of the diabetes risk score in this population. Phase 2 was a prospective cohort study. We used a logistic regression model to estimate the chance of developing diabetes after using the app. Paired t tests compared high-risk app users’ lifestyle changes. RESULTS A total of 13,289 people used the app in phase 1a. After data cleaning, we considered 4549 of these as valid data. Most users were male, and 1811 (39.81%) had tertiary education or above. Among them, 188 (10.4%) users agreed to attend the health assessment in phase 1b. We recommend the optimal value of the diabetes risk score for identifying persons with undiagnosed diabetes and prediabetes to be 9, with an area under the receiver operating characteristic curve of 0.67 (95% CI 0.60-0.74), sensitivity of 0.70 (95% CI 0.58-0.80), and specificity of 0.57 (95% CI 0.47-0.66). At the 2-year follow-up, people in the high-risk group had a higher chance of developing diabetes (odds ratio 4.59, P=.048) than the low-risk group. The high-risk app users improved their daily intake of vegetables (baseline: mean 0.76, SD 0.43; follow-up: mean 0.93, SD 0.26; t81=–3.77, P<.001) and daily exercise (baseline: mean 0.40, SD 0.49; follow-up: mean 0.54, SD 0.50; t81=–2.08, P=.04). CONCLUSIONS The Diabetes Risk Score app has been shown to be a feasible and reliable tool to identify persons with undiagnosed diabetes and prediabetes and to predict diabetes incidence in 2 years. The app can also encourage high-risk people to modify dietary habits and reduce sedentary lifestyle.

Abstract 16337: A Risk Score That Predicts Recurrence of Neurally Mediated Syncope Using Electrocardiographic and Vectorcardiographic Parameters

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Calina-Patricia Tentea ◽  
Roxana Chiorescu ◽  
Sorin Crisan ◽  
Sorin Pop ◽  
Jeremy N Ruskin ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Risk Score ◽  
Frontal Plane ◽  
Left Ventricular ◽  
Low Risk ◽  
Risk Category ◽  
Intermediate Risk ◽  
Total Risk ◽  
Neurally Mediated Syncope

Introduction: We have previously demonstrated that isolated very low QRS voltage (VLV defined as ≤0.3mV) in the frontal leads on the electrocardiogram (ECG; Figure A), as well as flat QRS loops in the frontal plane on ECG-derived vectorcardiograms (VCG; Figure B) predict recurrence of neurally mediated syncope (NMS). This phenomenon is possibly related to a specific ventricular geometry and activation pattern. Hypothesis: The aim of this study was to attempt to incorporate these novel ECG and VCG risk factors for recurrence of syncope into a prognostic risk score. Methods: We included 215 patients (age 48±20years), with NMS and a median of 3 syncopal episodes. The patients were followed for a median of 10 months (IQR 4-20). To weigh the relative importance of the prognostic risk factors identified in multivariate Cox regression analysis we attributed a score of 1 point for HR 1.5-1.99, 2 points for HR 2.0-2.49, and 3 points for HR ≥ 2.5. The total risk score, was divided into three categories: low risk (0-2), intermediate risk (3-5) and high risk (≥6). Results: The multivariate analysis identified history of ≥ 2 syncopal events (HR 3.85, 95%CI 1.62-9.14), left ventricular end-diastolic diameter of < 39mm by echocardiography (HR 1.94, 95%CI 1.00-3.82), isolated VLV QRS in frontal leads (HR 2.60, 95%CI 1.37-4.86) and flat QRS VCG loops in frontal plane (HR 2.23, 95%CI 1.24-3.99) as independent predictors for NMS recurrence (all P < 0.05). The actuarial total syncope recurrence rate at 1 year was 54.6% (95%CI 38.2-72.6) in the high-risk score category, 25.3% (95%CI 16.8-37.1) in the intermediate risk category, and 6.2% (95%CI 2.2-16.2) in the low-risk category (log rank test P<0.0001; Figure C). The ROC curve showed an AUC of 0.77 for the predictive value of the total risk score. Conclusions: The risk of recurrence of NMS could be stratified using a risk score that incorporates novel ECG and VCG parameters in addition to more established clinical and echocardiographic variables.

scholarly journals Assessment of risk of type 2 diabetes mellitus among rural population in Karnataka by using Indian diabetes risk score

2017 ◽  
Vol 4 (4) ◽  
pp. 1056 ◽  
Author(s):  
Radha Ramaiah ◽  
Srividya Jayarama
Keyword(s):  
Physical Activity ◽  
Rural Area ◽  
Risk Score ◽  
Rural Areas ◽  
Lifestyle Modification ◽  
Public Health Problem ◽  
Diabetes Risk ◽  
Major Public Health Problem ◽  
Cross Sectional ◽  
Diabetes Risk Score

Background: Diabetes has emerged not only as a major public health problem, but also as a global societal catastrophe. Governments worldwide are struggling to meet the cost of the diabetic care. The proportion of people with diabetes is rapidly increasing in many countries, with the documented increase in low and middle income countries. With this background a study was planned with the objective of assessing the risk of diabetes among adults in a rural area using a simple diagnostic tool. Methods: A community based, cross-sectional study was done among 485 adults aged 20 years and above residing in a rural area of Karnataka. Data collection was done by household survey by direct interview using a pretested, structured questionnaire. The questionnaire had 2 parts with part one of socio-demographic variables and part two made up of Indian diabetes risk score (IDRS) questionnaire. IDRS was developed by Mohan et al and its parameters comprise of 2 modifiable (waist circumference, physical activity) and 2 non-modifiable risk factors (age, family history) for diabetes. Analysis was done with open Epi and Microsoft excel. Results: In the present study, according to IDRS, 14.84% of the study subjects had high risk of diabetes, 73.19% had moderate risk and 11.95% had no/low risk of diabetes. Conclusions: The risk of diabetes among adults is on rise in rural areas. Physical activity likes regular exercises, diet and lifestyle modification are some of the interventions that can reduce the risk of diabetes.

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