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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="healthcare" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">96</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"/><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>Indian Diabetic Risk Score- A Tool For Predicting Risk Of Undiagnosed Type 2 Diabetes Mellitus&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Saleem1</surname><given-names>Sheikh Mohd</given-names></name></contrib><contrib contrib-type="author"><name><surname>Raina2</surname><given-names>Adnan Firdous</given-names></name></contrib><contrib contrib-type="author"><name><surname>Khan3</surname><given-names>S. Muhammad Salim</given-names></name></contrib><contrib contrib-type="author"><name><surname>Jan4</surname><given-names>Shah Sumaya</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>10</day><month>02</month><year>2017</year></pub-date><volume/><issue/><fpage>39</fpage><lpage>42</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Objectives: The objective of the study was to assess the performance of the Indian Diabetic Risk Score (IDRS) questionnaire for detecting and predicting risk of Type 2 diabetes mellitus (T2DM) in patients attending a primary health centre.&#13;
Material and Methods: We conducted a cross-sectional study comprising 1530 adult participants, age (__ampersandsigngt;20 yrs) attending Outpatient department of a primary health centre located at Harwan, district Srinagar without a diagnosis of Type 2 diabetes mellitus. The risk of developing Type 2 diabetes mellitus was assessed using the validated and widely used Indian diabetic risk score. Total Risk Score of each participant was analysed and compared.&#13;
Results: Data on 1530 participants with unknown diabetes mellitus were analysed with the mean age of 51.5 years, majority 54% females, 64.18% belonging to nuclear family and majority were from lower middle socio economic status. Around 99.73% were non vegetarian population with 19.15% having smoking habits. According to Indian diabetic risk score of Madras diabetic research federation the study population were classified to be low, medium and high risk for developing type 2 diabetes were 70.4%, 19.5% and 10.1% respectively.&#13;
Conclusion: The IDRS questionnaire designed by Madras Diabetic Research Foundation is a useful screening tool to identify unknown Type 2 diabetes mellitus. The questionnaire is a reliable, valuable and easy to use screening tool which can be used in a primary care setup and better convince people at high risk of Type 2 diabetes mellitus to take action towards healthier lifestyle habits.&#13;
</p></abstract><kwd-group><kwd>Indian diabetic risk score; Type 2 diabetes mellitus; Prediabetes; Screening; Saleem IDRS</kwd></kwd-group></article-meta></front></article>
