Evaluation of Madras Diabetes Research Foundation-Indian Diabetes Risk Score in detecting undiagnosed diabetes in the Indian population: Results from the Indian Council of Medical Research-INdia DIABetes population-based study (INDIAB-15)
dc.contributor.author | Deepa, Mohan | en_US |
dc.contributor.author | Elangovan, Nirmal | en_US |
dc.contributor.author | Venkatesan, Ulagamathesan | en_US |
dc.contributor.author | Das, Hiranya Kumar | en_US |
dc.contributor.author | Jampa, Lobsang | en_US |
dc.contributor.author | Adhikari, Prabha | en_US |
dc.contributor.author | Joshi, Prashant P. | en_US |
dc.contributor.author | Budnah, Richard O. | en_US |
dc.contributor.author | Suokhrie, Vizolie | en_US |
dc.contributor.author | John, Mary | en_US |
dc.contributor.author | Tobgay, Karma Jigme | en_US |
dc.contributor.author | Subashini, Radhakrishnan | en_US |
dc.contributor.author | Pradeepa, Rajendra | en_US |
dc.contributor.author | Anjana, Ranjit Mohan | en_US |
dc.contributor.author | Mohan, Viswanathan | en_US |
dc.contributor.author | Kaur, Tanvir | en_US |
dc.contributor.author | Dhaliwal, Rupinder Singh | en_US |
dc.date.accessioned | 2023-08-19T04:51:48Z | |
dc.date.available | 2023-08-19T04:51:48Z | |
dc.date.issued | 2023-04 | |
dc.description.abstract | 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 | en_US |
dc.identifier.affiliations | Departments of | en_US |
dc.identifier.affiliations | Epidemiology | en_US |
dc.identifier.affiliations | Research Operations & Diabetes Complications | en_US |
dc.identifier.affiliations | Biostatistics, Madras Diabetes Research Foundation | en_US |
dc.identifier.affiliations | Department of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialities Centre, Chennai, Tamil Nadu | en_US |
dc.identifier.affiliations | Regional Medical Research Centre, ICMR NE Region, Dibrugarh, Assam | en_US |
dc.identifier.affiliations | Directorate of Health Services, Naharlagun, Arunachal Pradesh | en_US |
dc.identifier.affiliations | Department of Epidemiology, Yenepoya Medical College, Yenepoya University Campus, Deralakatte, Karnataka | en_US |
dc.identifier.affiliations | Department of General Medicine, All India Institute of Medical Sciences, Nagpur, Maharashtra | en_US |
dc.identifier.affiliations | Directorate of Health Services (MI), Shillong, Meghalaya | en_US |
dc.identifier.affiliations | Directorate of Health & Family Welfare, Government of Nagaland, Kohima, Nagaland | en_US |
dc.identifier.affiliations | Deparment of Internal Medicine, Christian Medical College & Hospital, Ludhiana, Punjab | en_US |
dc.identifier.affiliations | Department of Health Care, Human Services & Family Welfare, Government of Sikkim, Gangtok, Sikk | en_US |
dc.identifier.citation | Deepa Mohan, Elangovan Nirmal, Venkatesan Ulagamathesan, Das Hiranya Kumar, Jampa Lobsang, Adhikari Prabha, Joshi Prashant P., Budnah Richard O., Suokhrie Vizolie, John Mary, Tobgay Karma Jigme, Subashini Radhakrishnan, Pradeepa Rajendra, Anjana Ranjit Mohan, Mohan Viswanathan, Kaur Tanvir, Dhaliwal Rupinder Singh. Evaluation of Madras Diabetes Research Foundation-Indian Diabetes Risk Score in detecting undiagnosed diabetes in the Indian population: Results from the Indian Council of Medical Research-INdia DIABetes population-based study (INDIAB-15). Indian Journal of Medical Research. 2023 Apr; 157(4): 239-249 | en_US |
dc.identifier.issn | 0971-5916 | |
dc.identifier.place | India | en_US |
dc.identifier.uri | https://imsear.searo.who.int/handle/123456789/223529 | |
dc.language | en | en_US |
dc.publisher | Wolters Kluwer – Medknow | en_US |
dc.relation.issuenumber | 4 | en_US |
dc.relation.volume | 157 | en_US |
dc.source.uri | https://doi.org/10.4103/ijmr.ijmr_2615_21 | en_US |
dc.subject | Asian Indians | en_US |
dc.subject | high-risk group | en_US |
dc.subject | Indian Diabetes Risk Score | en_US |
dc.subject | screening | en_US |
dc.subject | type 2 diabetes | en_US |
dc.subject | undiagnosed diabetes | en_US |
dc.title | Evaluation of Madras Diabetes Research Foundation-Indian Diabetes Risk Score in detecting undiagnosed diabetes in the Indian population: Results from the Indian Council of Medical Research-INdia DIABetes population-based study (INDIAB-15) | en_US |
dc.type | Journal Article | en_US |
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