Tandon, N and Anjana, R M and Mohan, V and Kaur, Tanvir and Afshin, Ashkan and Ong, Kanyin and Mukhopadhyay, Satinath and Thomas, Nihal and Bhatia, Eesh and Krishnan, Anand and Mathur, Prashant and Dhaliwal, R S and Shukla, D K and Bhansali, Anil and Prabhakaran, Dorairaj and Rao, Paturi V and Yajnik, Chittaranjan S and Kumar, G Anil and Varghese, Chris M and Furtado, Melissa and Agarwal, Sanjay K and Arora, Megha and Bhardwaj, Deeksha and Chakma, Joy K and Cornaby, Leslie and Dutta, Eliza and Glenn, Scott and Gopalakrishnan, N and Gupta, Rajeev and Jeemon, Panniyammakal and Johnson, Sarah C and Khanna, Tripti and Kinra, Sanjay and Kutz, Michael and Muraleedharan, Pallavi and Naik, Nitish and Odell, Chrisopher M and Oommen, Anu M and Pandian, Jeyaraj D and Parameswaran, Sreejith and Pati, Sanghamitra and Prasad, Narayan and Raju, D Sreebhushan and Roy, Ambuj and Sharma, Meenakshi and Shekhar, Chander and Shukla, Sharvari R and Singh, Narinder P and Thakur, J S and Unnikrishnan, Ranjit and Varughese, Santosh and Xavier, Denis and Zachariah, Geevar and Lim, Stephen S and Naghavi, Mohsen and Dandona, Rakhi and Vos, Theo and Murray, Christopher J L and Reddy, K Srinath and Swaminathan, Soumya and Dandona, Lalit (2018) The increasing burden of diabetes and variations among the states of India: the Global Burden of Disease Study 1990–2016. The Lancet Global Health, 6 (12). e1352. ISSN 2214109X
Background The burden of diabetes is increasing rapidly in India but a systematic understanding of its distribution and time trends is not available for every state of India. We present a comprehensive analysis of the time trends and heterogeneity in the distribution of diabetes burden across all states of India between 1990 and 2016. Methods We analysed the prevalence and disability-adjusted life-years (DALYs) of diabetes in the states of India from 1990 to 2016 using all available data sources that could be accessed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, and assessed heterogeneity across the states. The states were placed in four groups based on epidemiological transition level (ETL), defined on the basis of the ratio of DALYs from communicable diseases to those from non-communicable diseases and injuries combined, with a low ratio denoting high ETL and vice versa. We assessed the contribution of risk factors to diabetes DALYs and the relation of overweight (body-mass index 25 kg/m² or more) with diabetes prevalence. We calculated 95% uncertainty intervals (UIs) for the point estimates.
|Uncontrolled Keywords:||Global burden|
|Divisions:||Department of Diabetology|
|Deposited By:||surendar radha|
|Deposited On:||12 Dec 2018 15:30|
|Last Modified:||12 Dec 2018 15:30|
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