Prabhakaran, Dorairaj and Jeemon, Panniyammakal and Sharma, Meenakshi and Roth, Gregory A and Johnson, Catherine and Harikrishnan, Sivadasanpillai and Gupta, Rajeev and Pandian, Jeyaraj D and Naik, Nitish and Roy, Ambuj and Dhaliwal, R S and Xavier, Denis and Kumar, Raman K and Tandon, Nikhil and Mathur, Prashant and Shukla, D K and Mehrotra, Ravi and Venugopal, K and Kumar, G Anil and Varghese, Chris M and Furtado, Melissa and Muraleedharan, Pallavi and Abdulkader, Rizwan S and Alam, Tahiya and Anjana, R M and Arora, Monika and Bhansali, Anil and Bhardwaj, Deeksha and Bhatia, Eesh and Chakma, Joy K and Chaturvedi, Pankaj and Dutta, Eliza and Glenn, Scott and Gupta, Prakash C and Johnson, Sarah C and Kaur, Tanvir and Kinra, Sanjay and Krishnan, Anand and Kutz, Michael and Mathur, Manu R and Mohan, V and Mukhopadhyay, Satinath and Nguyen, Minh and Odell, Christopher M and Oommen, Anu M and Pati, Sanghamitra and Pletcher, Martin and Prasad, Kameshwar and Rao, Paturi V and Shekhar, Chander and Sinha, Dhirendra N and Sylaja, P N and Thakur, J S and Thankappan, Kavumpurathu R and Thomas, Nihal and Yadgir, Simon and Yajnik, Chittaranjan S and Zachariah, Geevar and Zipkin, Ben 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 changing patterns of cardiovascular diseases and their risk factors in the states of India: the Global Burden of Disease Study 1990–2016. The Lancet Global Health, 6 (12). e1339. ISSN 2214109X
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Abstract
BACKGROUND: The burden of cardiovascular diseases is increasing in India, but a systematic understanding of its distribution and time trends across all the states is not readily available. In this report, we present a detailed analysis of how the patterns of cardiovascular diseases and major risk factors have changed across the states of India between 1990 and 2016. METHODS: We analysed the prevalence and disability-adjusted life-years (DALYs) due to cardiovascular diseases and the major component causes in the states of India from 1990 to 2016, using all accessible data sources as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016. We placed states into four groups based on epidemiological transition level (ETL), defined using 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 heterogeneity in the burden of major cardiovascular diseases across the states of India, and the contribution of risk factors to cardiovascular diseases. We calculated 95% uncertainty intervals (UIs) for the point estimates.
| Item Type: | Article |
|---|---|
| Official URL/DOI: | http://dx.doi.org/10.1016/S2214-109X(18)30407-8 |
| Uncontrolled Keywords: | Cardiovascular Diseases; |
| Subjects: | Diabetes |
| Divisions: | Department of Diabetology |
| ID Code: | 1115 |
| Deposited By: | surendar radha |
| Deposited On: | 12 Dec 2018 15:24 |
| Last Modified: | 12 Dec 2018 15:24 |
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