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Introduction: Diabetes is a major health problem in the world causing significant morbidity and mortality. Currently, 77 million people in India and 463 million people are living with diabetes across the world, and this number is expected to rise to 101 million in India and 578 million globally by 2030. The key to reduce the morbidity and mortality is early diagnosis and management. The Madras Diabetes Research Foundation (MDRF) has developed an Indian Diabetes Risk Score (IDRS) to identify people who are at risk of developing diabetes or are undiagnosed. Thus, we conducted a study to calculate the IDRS of people from Central India and identify those who are at risk of getting diabetes. Methods: A total of 1,500 patients or attendants, aged 18 to 60 years (mean age 41.2 years), visiting the Endocrinology clinic, and not diagnosed with diabetes earlier were included in the study after taking proper consent and IDRS was calculated. Results: The male-to-female ratio was 914:586. The mean IDRS was 51.29 in our population with 35.93%, 18.2% and 45.87% of screened subjects having a score of <30, 30-60 and ?60, respectively. Conclusion: Forty-five percent people of the population was at high risk of diabetes as estimated by IDRS, which proved to be an effective and economical tool to identify persons at increased risk of diabetes and diagnose the undiagnosed cases and start early management to reduce the morbidity and mortality.
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Background & objectives: Screening of individuals for early detection and identification of undiagnosed diabetes can help in reducing the burden of diabetic complications. This study aimed to evaluate the performance of Madras Diabetes Research Foundation (MDRF)-Indian Diabetes Risk Score (IDRS) to screen for undiagnosed type 2 diabetes in a large representative population in India. Methods: Data were acquired from the Indian Council of Medical Research–INdia DIABetes (ICMR–INDIAB) study, a large national survey that included both urban and rural populations from 30 states/union territories in India. Stratified multistage design was followed to obtain a sample of 113,043 individuals (94.2% response rate). MDRF-IDRS used four simple parameters, viz. age, waist circumference, family history of diabetes and physical activity to detect undiagnosed diabetes. Receiver operating characteristic (ROC) with area under the curve (AUC) was used to assess the performance of MDRF-IDRS. Results: We identified that 32.4, 52.7 and 14.9 per cent of the general population were under high-, moderate- and low-risk category of diabetes. Among the newly diagnosed individuals with diabetes [diagnosed by oral glucose tolerance test (OGTT)], 60.2, 35.9 and 3.9 per cent were identified under
ABSTRACT
Introduction: Diabetes is a major health problem in the world causing significant morbidity and mortality. Currently, 77 million people in India and 463 million people are living with diabetes across the world, and this number is expected to rise to 101 million in India and 578 million globally by 2030. The key to reduce the morbidity and mortality is early diagnosis and management. The Madras Diabetes Research Foundation (MDRF) has developed an Indian Diabetes Risk Score (IDRS) to identify people who are at risk of developing diabetes or are undiagnosed. Thus, we conducted a study to calculate the IDRS of people from Central India and identify those who are at risk of getting diabetes. Methods: A total of 1,500 patients or attendants, aged 18 to 60 years (mean age 41.2 years), visiting the Endocrinology clinic, and not diagnosed with diabetes earlier were included in the study after taking proper consent and IDRS was calculated. Results: The male-to-female ratio was 914:586. The mean IDRS was 51.29 in our population with 35.93%, 18.2% and 45.87% of screened subjects having a score of <30, 30-60 and ?60, respectively. Conclusion: Forty-five percent people of the population was at high risk of diabetes as estimated by IDRS, which proved to be an effective and economical tool to identify persons at increased risk of diabetes and diagnose the undiagnosed cases and start early management to reduce the morbidity and mortality.
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Introduction: India is diabetic capital of world, with maximum number of diabetic patients. There is large burden of undetected diabetic cases in community. There is increasing risk of diabetes in urban as well as rural areas, because of illiteracy, lack of awareness, low socioeconomic status and unhealthy life style. We have developed Modified Indian Diabetes Risk Score (MIDRS) to detect high risk individuals likely to be benefited by lifestyle interventions in preventing or delaying Type 2 diabetes. Screening for diabetes was carried out from urban and rural community ofMethods: Unjha Taluka district Mehsana Gujarat state. The sample size was 989. MIDRS (Modified Indian Diabetes Risk Score) tool comprising of five modifiable (BMI, waist circumference, physical activity, calorie intake and personal habits) and three non-modifiable risk factors (age, family history and h/o hypertension) for diabetes was used to assess the risk of diabetes. Anthropometry data was obtained. Conformation of diabetes was done using blood sugar levels on fasting and post prandial 2 hours venous sample. Mean and SD for age of study subjects were 42.6 + 15.4years, BMI 25.9 +Results: 3.9 kg/m2, waist hip ratio (females) 0.87 + 0.07 cm, waist hip ratio (males) 0.87 + 0.07 cm, waist circumference (females) 87.6 + 9.8 cm, waist circumference (males) 88.9 + 10.1cm, SBP 134.6 + 20.5 mm Hg and DBP 83.6 + 12.1 mm Hg. MIDRS predicted the risk of diabetes mellitus with sensitivity of 90% and specificity of 71.6% in individuals with score >60. Mean MIDRS score is 52.9. MIDRS can be used as an effective tool for detect high risk individuals likely toConclusion: be benefited by lifestyle interventions in preventing or delaying Type 2 diabetes.
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Background: Diabetes is an insidious public health problem. India has the second largest number of adults living with diabetes worldwide (77 million). Indian Diabetes Risk Score (IDRS) is a simple, cost-effective and feasible tool for mass screening programme at community level. Aim & Objective: To assess diabetes risk in adults aged 30 years and above and to identify high risk subjects for screening undiagnosed diabetes in an urban population of Meerut. Settings and Design: Community based cross-sectional study. Methods and Material: All adults who were ?30 years of age and non-diabetic were interviewed using pre-designed, pre-tested questionnaire for their socio-demographic profile and lifestyle. Fasting Blood glucose of all study subjects were done to screen undiagnosed diabetics. Statistical analysis used: Centers for Disease Control (CDC), Epi Info TM 7.2.3.1 was used. Pearson’s Chi Square were applied. Results: 33.4% were found to have high diabetes risk. Risk of diabetes increases with age. 7.6% of the study subjects were found to be diabetic and were unaware of their diabetic status. Physical inactivity and increasing waist circumference were found to be significantly associated with risk of diabetes. Diabetes risk was also significantly associated with positive family history. Conclusions: Screening and early identification of high risk individuals would help in early diagnosis and treatment to prevent or to delay the onset of diabetes mellitus and its complications.
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Background: Cardiac autonomic function is altered in type 2 diabetes mellitus (T2DM) individuals. It is evidenced by decreased heart rate variability (HRV). Decreased HRV results in cardiac autonomic neuropathy and increased risk for sudden cardiac death. Identifying individuals with high risk for T2DM can be an important approach to prevent or delay T2DM complications. In India, the Indian Diabetes Risk Score (IDRS) questionnaire was developed for screening Indian population. To the best of our knowledge, there are no data available evaluating HRV among adults with different risk levels for T2DM (categorized using IDRS). Aim and Objective: In our study, we evaluated HRV among adults with different risk levels for T2DM. Materials and Methods: This study was done in the Department of Physiology, MAPIMS. It is a cross-sectional study done on 130 male and female staffs, attenders, and laboratory technicians working in MAPIMS. All the participants will be asked to complete the IRDS questionnaire. Then, based on the IRDS score, they are divided into Groups I, II, and III. In all the three groups, 5 min short-term HRV will be recorded using RMS Polyrite. Data were analyzed by SPSS 20.0 version software. One-way ANOVA was used to find any statistical difference between the groups. Correlations between the variables were done using Pearson correlation test. Results: Statistically significant (P < 0.05) difference in HRV between different risk levels for diabetes was determined by one-way ANOVA and the post hoc (Dunn’s) test revealed that HRV levels were significantly reduced in high risk, moderate risk when compared to mild risk group. Conclusion: HRV levels reduced as the risk for diabetes increased, that is, HRV negatively correlated with the risk score.
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Background: Diabetes mellitus is a metabolic syndrome due to insulin deficiency, characterized by hyperglycaemia. Indian diabetes risk score (IDRS) is the most commonly used one to determine the risk status. However there is lot of inconvenience and possible errors in measuring the waist circumference to determine the IDRS, hence the study was planned to evaluate if neck circumference could replace waist circumference in determining the diabetes risk.Methods: This cross sectional study was conducted among 300 study participants fulfilling the eligible criteria. Socio-demographic variables, parameters required for determining the IDRS was assessed, in addition, neck circumference (NC) was measured using standard protocol. Another risk score was calculated by replacing waist circumference (WC) with neck circumference and scoring was named as IDRS-NC. Pearson correlation and Wilcoxan sign rank test was done to find out the relationship between WC and NC and also to determine if IDRS-NC could replace IDRS.Results: Out of 300 study population, majority of the participants are in the age group of <35 years 129 (43%) and around 2/3rd of the participants were females. Among the study participants proportion of participants belonging to low risk, medium risk and high risk assessed using IDRS and IDRS-NC was 18.7%, 41%, 40.3% and 31.7%, 38%, 30.3% respectively. There was a strong positive correlation (r=0.837) between the neck circumference and waist circumference. Wilcoxan sign rank test was significant between the 2 scores having a p value of <0.05.Conclusions: In our study there was a positive correlation between neck circumference and waist circumference.
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Background: Globally, people living with diabetes were estimated to be 422 million in year 2014. In India, an estimated 7.8% have diabetes. Early detection and prompt treatment for diabetes is key to achieve sustained control and prevent complications. The Indian diabetic risk score (IDRS) is one of simple screening tool to find the risk for diabetes in the community of filed practice area of teaching hospital.Methods: A community based cross sectional study was conducted in urban and rural field practice area during the period of 1st January to 30th September 2018. As per global health report on diabetes, World Health Organization 2016, prevalence of diabetes in India was found to be 7.8%. Considering allowable error as 20% sample size was 1183 which was rounded up to 1200 with 600 each in urban and rural field practice area. The data was collected with bio- data and IDRS questionnaire which includes age, physical exercise, waist circumference and family history of diabetes.Results: Total 1200 Study participants were included in the study. It was observed that 821 (68.41%) were female participants and 379 (31.59%) were male participants. High risk for diabetes was observed in 329 (27.42%) participants. Among the high-risk participants, 194 (58.96%) were from the urban area and 135 (41.04%) were from the rural area. The association between increasing BMI with high IDRS was observed and found statistically significant. High blood pressure was observed among the participants having high IDRS and findings were statistically significant.Conclusions: This simplified IDRS is cost-effective tool to screen the community on large scale.