37 results on '"Anjana, Ranjit M."'
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2. Heterogeneity in phenotype, disease progression and drug response in type 2 diabetes
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Nair, Anand Thakarakkattil Narayanan, Wesolowska-Andersen, Agata, Brorsson, Caroline, Rajendrakumar, Aravind Lathika, Hapca, Simona, Gan, Sushrima, Dawed, Adem Y., Donnelly, Louise A., McCrimmon, Rory, Doney, Alex S. F., Palmer, Colin N. A., Mohan, Viswanathan, Anjana, Ranjit M., Hattersley, Andrew T., Dennis, John M., and Pearson, Ewan R.
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- 2022
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3. Clinical utility of 30-min plasma glucose for prediction of type 2 diabetes among people with prediabetes: Ancillary analysis of the diabetes community lifestyle improvement program
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Jagannathan, Ram, Weber, Mary Beth, Anjana, Ranjit M., Ranjani, Harish, Staimez, Lisa R., Ali, Mohammed K., Mohan, Viswanathan, and Narayan, K.M. Venkat
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- 2020
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4. Lifetime risk of diabetes in metropolitan cities in India
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Luhar, Shammi, Kondal, Dimple, Jones, Rebecca, Anjana, Ranjit M., Patel, Shivani A., Kinra, Sanjay, Clarke, Lynda, Ali, Mohammed K., Prabhakaran, Dorairaj, Kadir, M. Masood, Tandon, Nikhil, Mohan, Viswanathan, and Narayan, K. M. Venkat
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- 2021
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5. Recent advances in artificial intelligence-assisted endocrinology and diabetes
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Oikonomakos, Ioannis T., primary, Anjana, Ranjit M., additional, Mohan, Viswanathan, additional, Steenblock, Charlotte, additional, and Bornstein, Stefan R., additional
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- 2023
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6. Associations Between Fruit and Vegetable Intake and Hypertension: Results From 143,091 Participants in the South Asia Biobank
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Lahiri, Anwesha, Imamura, Fumiaki, Kasturiratne, Anuradhani, Jha, Vinitaa, Katulanda, Prasad, Khawaja, Khadija I, Mridha, Malay K, Anjana, Ranjit M, Chambers, John C, and Forouhi, Nita G
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- 2024
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7. The changing patterns of cardiovascular diseases and their risk factors in the states of India: the Global Burden of Disease Study 1990–2016
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Prabhakaran, Dorairaj, Jeemon, Panniyammakal, Sharma, Meenakshi, Roth, Gregory A, Johnson, Catherine, Harikrishnan, Sivadasanpillai, Gupta, Rajeev, Pandian, Jeyaraj D, Naik, Nitish, Roy, Ambuj, Dhaliwal, R S, Xavier, Denis, Kumar, Raman K, Tandon, Nikhil, Mathur, Prashant, Shukla, D K, Mehrotra, Ravi, Venugopal, K, Kumar, G Anil, Varghese, Chris M, Furtado, Melissa, Muraleedharan, Pallavi, Abdulkader, Rizwan S, Alam, Tahiya, Anjana, Ranjit M, Arora, Monika, Bhansali, Anil, Bhardwaj, Deeksha, Bhatia, Eesh, Chakma, Joy K, Chaturvedi, Pankaj, Dutta, Eliza, Glenn, Scott, Gupta, Prakash C, Johnson, Sarah C, Kaur, Tanvir, Kinra, Sanjay, Krishnan, Anand, Kutz, Michael, Mathur, Manu R, Mohan, Viswanathan, Mukhopadhyay, Satinath, Nguyen, Minh, Odell, Christopher M, Oommen, Anu M, Pati, Sanghamitra, Pletcher, Martin, Prasad, Kameshwar, Rao, Paturi V, Shekhar, Chander, Sinha, Dhirendra N, Sylaja, P N, Thakur, J S, Thankappan, Kavumpurathu R, Thomas, Nihal, Yadgir, Simon, Yajnik, Chittaranjan S, Zachariah, Geevar, Zipkin, Ben, Lim, Stephen S, Naghavi, Mohsen, Dandona, Rakhi, Vos, Theo, Murray, Christopher J L, Reddy, K Srinath, Swaminathan, Soumya, and Dandona, Lalit
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- 2018
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8. The increasing burden of diabetes and variations among the states of India: the Global Burden of Disease Study 1990–2016
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Tandon, Nikhil, Anjana, Ranjit M, Mohan, Viswanathan, Kaur, Tanvir, Afshin, Ashkan, Ong, Kanyin, Mukhopadhyay, Satinath, Thomas, Nihal, Bhatia, Eesh, Krishnan, Anand, Mathur, Prashant, Dhaliwal, R S, Shukla, D K, Bhansali, Anil, Prabhakaran, Dorairaj, Rao, Paturi V, Yajnik, Chittaranjan S, Kumar, G Anil, Varghese, Chris M, Furtado, Melissa, Agarwal, Sanjay K, Arora, Megha, Bhardwaj, Deeksha, Chakma, Joy K, Cornaby, Leslie, Dutta, Eliza, Glenn, Scott, Gopalakrishnan, N, Gupta, Rajeev, Jeemon, Panniyammakal, Johnson, Sarah C, Khanna, Tripti, Kinra, Sanjay, Kutz, Michael, Muraleedharan, Pallavi, Naik, Nitish, Odell, Chrisopher M, Oommen, Anu M, Pandian, Jeyaraj D, Parameswaran, Sreejith, Pati, Sanghamitra, Prasad, Narayan, Raju, D Sreebhushan, Roy, Ambuj, Sharma, Meenakshi, Shekhar, Chander, Shukla, Sharvari R, Singh, Narinder P, Thakur, J S, Unnikrishnan, Ranjit, Varughese, Santosh, Xavier, Denis, Zachariah, Geevar, Lim, Stephen S, Naghavi, Mohsen, Dandona, Rakhi, Vos, Theo, Murray, Christopher J L, Reddy, K Srinath, Swaminathan, Soumya, and Dandona, Lalit
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- 2018
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9. Association of serum vitamin D levels and diabetic retinopathy in Asian Indians with type 2 diabetes
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Ashinne, Beteal, Rajalakshmi, Ramachandran, Anjana, Ranjit M., Narayan, K.M. Venkat, Jayashri, Ramamoorthy, Mohan, Viswanathan, and Hendrick, Andrew M.
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- 2018
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10. Human islet mass, morphology, and survival after cryopreservation using the Edmonton protocol
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Miranda, Priya M, Mohan, Viswanathan, Ganthimathy, Sekhar, Anjana, Ranjit M, Gunasekaran, S, Thiagarajan, Venkatachalam, Churchill, Thomas A, Kin, Tatsuya, Shapiro, AM James, and Lakey, Jonathan RT
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Diabetes ,Transplantation ,Autoimmune Disease ,Apoptosis ,Cell Survival ,Cryopreservation ,Glucagon ,Humans ,Insulin ,Islets of Langerhans ,Mitotic Index ,Necrosis ,Somatostatin ,Tissue Culture Techniques ,islet transplantation ,cryopreservation ,post-thaw culture ,islet isolation ,clinical phase ,pre-clinical phase ,ultrastructure TUNEL ,immunohistochemistry ,Medical Microbiology ,Medical Physiology - Abstract
The aim of this study was to assess recovery, cell death, and cell composition of post-thaw cultured human islets. Cryopreserved islets were provided by the Clinical Islet Transplant Program, Edmonton, Canada. Islets were processed using media prepared in accordance with Pre-Edmonton and Edmonton protocols. Cryopreserved islets were rapidly thawed and cultured for 24 h, 3 d, 5 d, and 7 d, following which they were processed for histology. Islet quantification, integrity, morphology and tissue turnover were studied via hematoxylin and eosin stained sections. Ultrastructure was studied by electron microscopy and endocrine cell composition by immunohistochemistry. Using the Pre-Edmonton protocol, islet recovery was 50.1% and islet survival was 50% at 24 h while for the Edmonton protocol, the islet recovery was 69.4% (p
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- 2013
11. Dietary changes in a diabetes prevention intervention among people with prediabetes: the Diabetes Community Lifestyle Improvement Program trial
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Ford, Christopher N., Weber, Mary Beth, Staimez, Lisa R., Anjana, Ranjit M., Lakshmi, Karthikeyan, Mohan, Viswanathan, Narayan, K. M. Venkat, and Harish, Ranjani
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- 2019
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12. Adapting and scaling a proven diabetes prevention program across 11 worksites in India: the INDIA-WORKS trial
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Weber, Mary Beth, primary, Rhodes, Elizabeth C., additional, Ranjani, Harish, additional, Jeemon, Panniyammakal, additional, Ali, Mohammed K., additional, Hennink, Monique M., additional, Anjana, Ranjit M., additional, Mohan, Viswanathan, additional, Narayan, K.M. Venkat, additional, and Prabhakaran, Dorairaj, additional
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- 2023
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13. Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study
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Dandona, Lalit, Dandona, Rakhi, Kumar, G Anil, Shukla, D K, Paul, Vinod K, Balakrishnan, Kalpana, Prabhakaran, Dorairaj, Tandon, Nikhil, Salvi, Sundeep, Dash, A P, Nandakumar, A, Patel, Vikram, Agarwal, Sanjay K, Gupta, Prakash C, Dhaliwal, R S, Mathur, Prashant, Laxmaiah, Avula, Dhillon, Preet K, Dey, Subhojit, Mathur, Manu R, Afshin, Ashkan, Fitzmaurice, Christina, Gakidou, Emmanuela, Gething, Peter, Hay, Simon I, Kassebaum, Nicholas J, Kyu, Hmwe, Lim, Stephen S, Naghavi, Mohsen, Roth, Gregory A, Stanaway, Jeffrey D, Whiteford, Harvey, Chadha, Vineet K, Khaparde, Sunil D, Rao, Raghuram, Rade, Kirankumar, Dewan, Puneet, Furtado, Melissa, Dutta, Eliza, Varghese, Chris M, Mehrotra, Ravi, Jambulingam, P, Kaur, Tanvir, Sharma, Meenakshi, Singh, Shalini, Arora, Rashmi, Rasaily, Reeta, Anjana, Ranjit M, Mohan, Viswanathan, Agrawal, Anurag, Chopra, Arvind, Mathew, Ashish J, Bhardwaj, Deeksha, Muraleedharan, Pallavi, Mutreja, Parul, Bienhoff, Kelly, Glenn, Scott, Abdulkader, Rizwan S, Aggarwal, Ashutosh N, Aggarwal, Rakesh, Albert, Sandra, Ambekar, Atul, Arora, Monika, Bachani, Damodar, Bavdekar, Ashish, Beig, Gufran, Bhansali, Anil, Bhargava, Anurag, Bhatia, Eesh, Camara, Bilali, Christopher, D J, Das, Siddharth K, Dave, Paresh V, Dey, Sagnik, Ghoshal, Aloke G, Gopalakrishnan, N, Guleria, Randeep, Gupta, Rajeev, Gupta, Subodh S, Gupta, Tarun, Gupte, M D, Gururaj, G, Harikrishnan, Sivadasanpillai, Iyer, Veena, Jain, Sudhir K, Jeemon, Panniyamamkal, Joshua, Vasna, Kant, Rajni, Kar, Anita, Kataki, Amal C, Katoch, Kiran, Khanna, Tripti, Khera, Ajay, Kinra, Sanjay, Koul, Parvaiz A, Krishnan, Anand, Kumar, Avdhesh, Kumar, Raman K, Kumar, Rashmi, Kurpad, Anura, Ladusingh, Laishram, Lodha, Rakesh, Mahesh, P A, Malhotra, Rajesh, Mathai, Matthews, Mavalankar, Dileep, Mohan BV, Murali, Mukhopadhyay, Satinath, Murhekar, Manoj, Murthy, G V S, Nair, Sanjeev, Nair, Sreenivas A, Nanda, Lipika, Nongmaithem, Romi S, Oommen, Anu M, Pandian, Jeyaraj D, Pandya, Sapan, Parameswaran, Sreejith, Pati, Sanghamitra, Prasad, Kameshwar, Prasad, Narayan, Purwar, Manorama, Rahim, Asma, Raju, Sreebhushan, Ramji, Siddarth, Rangaswamy, Thara, Rath, Goura K, Roy, Ambuj, Sabde, Yogesh, Sachdeva, K S, Sadhu, Harsiddha, Sagar, Rajesh, Sankar, Mari J, Sharma, Rajendra, Shet, Anita, Shirude, Shreya, Shukla, Rajan, Shukla, Sharvari R, Singh, Gagandeep, Singh, Narinder P, Singh, Virendra, Sinha, Anju, Sinha, Dhirendra N, Srivastava, R K, Srividya, A, Suri, Vanita, Swaminathan, Rajaraman, Sylaja, P N, Tandale, Babasaheb, Thakur, J S, Thankappan, Kavumpurathu R, Thomas, Nihal, Tripathy, Srikanth, Varghese, Mathew, Varughese, Santosh, Venkatesh, S, Venugopal, K, Vijayakumar, Lakshmi, Xavier, Denis, Yajnik, Chittaranjan S, Zachariah, Geevar, Zodpey, Sanjay, Rao, J V R Prasada, Vos, Theo, Reddy, K Srinath, Murray, Christopher J L, and Swaminathan, Soumya
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- 2017
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14. Evidence for the association between FTO gene variants and vitamin B12 concentrations in an Asian Indian population
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Surendran, Shelini, Jayashri, Ramamoorthy, Drysdale, Lauren, Bodhini, Dhanasekaran, Lakshmipriya, Nagarajan, Shanthi Rani, Coimbatore Subramanian, Sudha, Vasudevan, Lovegrove, Julie A., Anjana, Ranjit M., Mohan, Viswanathan, Radha, Venkatesan, Pradeepa, Rajendra, and Vimaleswaran, Karani S.
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- 2019
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15. Association of TCF7L2 Polymorphism with Diabetic Nephropathy in the South Indian Population
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Bodhini, Dhanasekaran, Chidambaram, Manickam, Liju, Samuel, Prakash, Visvanathan G., Gayathri, Vijay, Shanthirani, Coimbatore S., Ranjith, Unnikrishnan, Anjana, Ranjit M., Mohan, Viswanathan, and Radha, Venkatesan
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- 2015
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16. Comparing Type 2 Diabetes, Prediabetes, and Their Associated Risk Factors in Asian Indians in India and in the U.S.: The CARRS and MASALA Studies
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Gujral, Unjali P., Narayan, K.M. Venkat, Pradeepa, R. Ghua, Deepa, Mohan, Ali, Mohammed K., Anjana, Ranjit M., Kandula, Namratha R., Mohan, Viswanathan, and Kanaya, Alka M.
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- 2015
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17. Built Environment Correlates of Diabetes and Obesity: Methodology.
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Aarthi, Garudam R., Pradeepa, Rajendra, Mohan, Viswanathan, Venkatasubramanian, Padma, and Anjana, Ranjit M.
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OBESITY ,RESEARCH ,BUILT environment ,CROSS-sectional method ,DIABETES ,DIET ,PHYSICAL activity ,FIELDWORK (Educational method) ,T-test (Statistics) ,RESEARCH funding ,QUESTIONNAIRES ,DESCRIPTIVE statistics ,CHI-squared test ,STATISTICAL correlation ,STATISTICAL sampling ,DATA analysis software - Abstract
A city’s planning, design, and construction can have a profound influence on health, specifically on non-communicable diseases such as diabetes and obesity, which are often referred to as “diabesity.” This study describes the designs and methods to understand the relationship between food and physical activity environments on diabesity. Materials and Methods: This study was a community-based cross-sectional door-to-door survey conducted as part of a large National Institute of Health and Care Research-funded surveillance project. For this study, two wards in Chennai were selected randomly. In each ward, five community enumeration blocks were selected using systematic random sampling technique. A consecutive sampling approach was used to select the study participants. Two categories of data were collected: (1) health data and (2) built environment (BE) data. Health and lifestyle questionnaires, anthropometric, and biochemical data were collected from all the study participants. For categorizing BE, an online questionnaire was developed using the KoBo toolbox to collect information about food and physical activity environments, as well as geographic locations. Expected Outcome: This study is expected to reveal data on the relationship between food and physical activity environments and diabesity. It will help policy-makers to understand the importance of access to healthy foods and spaces for physical activity in prevention and control of diabesity. It can also enable community-based interventions to improve health outcomes and help urban planners to plan cities that promote active lifestyles for its residents. [ABSTRACT FROM AUTHOR]
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- 2022
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18. Lifetime risk of diabetes in metropolitan cities in India
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Luhar, Shammi, primary, Kondal, Dimple, additional, Jones, Rebecca, additional, Anjana, Ranjit M., additional, Patel, Shivani A., additional, Kinra, Sanjay, additional, Clarke, Lynda, additional, Ali, Mohammed K., additional, Prabhakaran, Dorairaj, additional, Kadir, M. Masood, additional, Tandon, Nikhil, additional, Mohan, Viswanathan, additional, and Narayan, K. M. Venkat, additional
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- 2020
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19. Data Resource Profile: Understanding the patterns and determinants of health in South Asians - South Asia Biobank
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Song, Peige, primary, Gupta, Ananya, additional, Goon, Ian Y, additional, Hasan, Mehedi, additional, Mahmood, Sara, additional, Page, Polly, additional, Pradeepa, Rajendra, additional, Siddiqui, Samreen, additional, Silva, Wnurinham, additional, Aarthi, Garudam R, additional, Afzal, Saira, additional, Day, Sophie E, additional, Frost, Gary S, additional, Holmes, Bridget A, additional, Kamalesh, Rajan, additional, Kusuma, Dian, additional, Miraldo, Marisa, additional, Pineda, Elisa, additional, Hersch, Fred, additional, Rai, Baldeesh K, additional, Sarker, Malabika, additional, Sassi, Franco, additional, Valabhji, Jonathan, additional, Wareham, Nick J, additional, Ahmed, Sajjad, additional, Anjana, Ranjit M, additional, Brage, Soren, additional, Forouhi, Nita G, additional, Jha, Sujeet, additional, Kasturiratne, Anuradhani, additional, Katulanda, Prasad, additional, Khawaja, Khadija I, additional, Loh, Marie, additional, Mridha, Malay K, additional, Wickremasinghe, Ananda R, additional, Kooner, Jaspal S, additional, and Chambers, John C, additional
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- 2020
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20. The impact of phenotype, ethnicity and genotype on progression of type 2 diabetes mellitus
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Thakarakkattil Narayanan Nair, Anand, primary, Donnelly, Louise A., additional, Dawed, Adem Y., additional, Gan, Sushrima, additional, Anjana, Ranjit M., additional, Viswanathan, Mohan, additional, Palmer, Colin N. A., additional, and Pearson, Ewan R., additional
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- 2020
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21. Rising rural body-mass index is the main driver of the global obesity epidemic in adults
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Bixby, Honor, Bentham, James, Zhou, Bin, Di Cesare, Mariachiara, Paciorek, Christopher J, Bennett, James E, Taddei, Cristina, Stevens, Gretchen A, Rodriguez-Martinez, Andrea, Carrillo-Larco, Rodrigo M, Khang, Young-Ho, Sorić, Maroje, Gregg, Edward W, Miranda, J Jaime, Bhutta, Zulfiqar A, Savin, Stefan, Sophiea, Marisa K, Iurilli, Maria LC, Solomon, Bethlehem D, Cowan, Melanie J, Riley, Leanne M, Danaei, Goodarz, Bovet, Pascal, Chirita-Emandi, Adela, Hambleton, Ian R, Hayes, Alison J, Ikeda, Nayu, Kengne, Andre P, Laxmaiah, Avula, Li, Yanping, McGarvey, Stephen T, Mostafa, Aya, Neovius, Martin, Starc, Gregor, Zainuddin, Ahmad A, Abarca-Gómez, Leandra, Abdeen, Ziad A, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Hamid, Zargar, Abubakar Garba, Jamila, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Agdeppa, Imelda A, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Naser, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, AlBuhairan, Fadia, AlDhukair, Shahla, Al-Hazzaa, Hazzaa M, Ali, Mohamed M, Ali, Osman, Alkerwi, Ala'a, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A, Ängquist, Lars H, Anjana, Ranjit M, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assunção, Maria CF, Aung, May Soe, Auvinen, Juha, Avdicová, Mária, Azevedo, Ana, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R, Barbagallo, Carlo M, Barceló, Alberto, Tan, Eng Joo, Bixby, Honor, Bentham, James, Zhou, Bin, Di Cesare, Mariachiara, Paciorek, Christopher J, Bennett, James E, Taddei, Cristina, Stevens, Gretchen A, Rodriguez-Martinez, Andrea, Carrillo-Larco, Rodrigo M, Khang, Young-Ho, Sorić, Maroje, Gregg, Edward W, Miranda, J Jaime, Bhutta, Zulfiqar A, Savin, Stefan, Sophiea, Marisa K, Iurilli, Maria LC, Solomon, Bethlehem D, Cowan, Melanie J, Riley, Leanne M, Danaei, Goodarz, Bovet, Pascal, Chirita-Emandi, Adela, Hambleton, Ian R, Hayes, Alison J, Ikeda, Nayu, Kengne, Andre P, Laxmaiah, Avula, Li, Yanping, McGarvey, Stephen T, Mostafa, Aya, Neovius, Martin, Starc, Gregor, Zainuddin, Ahmad A, Abarca-Gómez, Leandra, Abdeen, Ziad A, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Hamid, Zargar, Abubakar Garba, Jamila, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Agdeppa, Imelda A, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Naser, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, AlBuhairan, Fadia, AlDhukair, Shahla, Al-Hazzaa, Hazzaa M, Ali, Mohamed M, Ali, Osman, Alkerwi, Ala'a, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A, Ängquist, Lars H, Anjana, Ranjit M, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assunção, Maria CF, Aung, May Soe, Auvinen, Juha, Avdicová, Mária, Azevedo, Ana, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R, Barbagallo, Carlo M, Barceló, Alberto, and Tan, Eng Joo
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- 2019
22. Assessment of optical coherence tomography angiography and multifocal electroretinography in eyes with and without nonproliferative diabetic retinopathy.
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Srinivasan, Sangeetha, Sivaprasad, Sobha, Rajalakshmi, Ramachandran, Anjana, Ranjit M., Malik, Rayaz A., Kulothungan, Vaitheeswaran, Raman, Rajiv, and Bhende, Muna
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OPTICAL coherence tomography ,DIABETIC retinopathy ,ELECTRORETINOGRAPHY ,TYPE 2 diabetes ,ANGIOGRAPHY - Abstract
Purpose: To examine (i) the retinal structure and function using optical coherence tomography angiography (OCTA) and multifocal electroretinography (mfERG), respectively, in eyes with and without nonproliferative diabetic retinopathy (NPDR), (ii) and their interrelationship between retinal structure (OCTA) and function (mfERG) in the two groups independently. Methods: This was a prospective observational study. One hundred twenty-one eligible participants with type 2 diabetes with No DR (n = 89), or with mild or moderate NPDR (n = 32) underwent ophthalmic examination, ultrawide field-view fundus photography, OCTA, and mfERG. Group differences were assessed using a Mann-Whitney U test. Correlations were assessed using Spearman's rho. Results: There were no significant differences in OCTA measures between the two groups. The mfERG P1 implicit times (rings 1-6) were significantly delayed and P1 response densities in rings 5 and 6 were significantly lower in participants with NPDR compared to those with No DR. In those with No DR, P1 implicit times in almost all rings were delayed in relation to lower vessel density and perfusion (maximum variance noted was 13%). In individuals with NPDR, the P1 response density in rings 2 and 3 showed a positive nonsignificant correlation with macular perfusion. Conclusion: In those with diabetes with No DR, retinal neuronal function is influenced by lower macular vessel density and perfusion. The retinal neuronal function is abnormal in individuals with NPDR compared to those with No DR and is not correlated with OCT angiometric measures, suggesting the likelihood of a different retinal structural correlate. [ABSTRACT FROM AUTHOR]
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- 2021
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23. India: Health of the Nation's States - The India State-level Disease Burden Initiative
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Hay, Simon Iain, Abdulkader, Rizwan S., Ashkan Afshin, Agarwal, Sanjay K., Aggarwal, Ashutosh N., Aggarwal, Rakesh, Anurag Agrawal, Albert, Sandra, Ambekar, Atul, Anjana, Ranjit M., Arora, Monika, Narendra K. Arora, Arora, Rashmi, Shally Awasthi, Damodar Bachani, Balakrishnan, Kalpana, Anup Barman, Baruah, Kalpana, Bavdekar, Ashish, Shahina Begum, Gufran Beig, Bhansali, Anil, Deeksha Bhardwaj, Anurag Bhargava, Eesh Bhatia, Bienhoff, Kelly, Brooker, Simon, Chadha, Vineet, Chakma, Joy Kumar, H.K. Chaturvedi, Chaturvedi, Pankaj, Chopra, Arvind, D.J. Christopher, Dandona, Lalit, Dandona, Rakhi, Shyamashree Das, Siddharth K. Das, A.P. Dash, Puneet Dewan, Sagnik Dey, Subhojit Dey, R.S. Dhaliwal, A.C. Dhariwal, Dhillon, Preet K., Dhingra, Neeraj, Dikshit, Rajesh, Dutta, Eliza, Fitzmaurice, Christina, Furtado, Melissa, Gakidou, Emmanuela, P. Gangadharan, Parthasarathi Ganguly, Gething, Peter, Alakendu Ghosh, Ghosh, Raj S., Ghoshal, Aloke G., Glenn, Scott, Saurabh Goel, N. Gopalakrishnan, Randeep Guleria, Gupta, Prakash C., Gupta, Rajeev, R.K. Das Gupta, Subodh S. Gupta, Gupta, Tarun, M.D. Gupte, G. Gururaj, S. Harikrishnan, N.K. Hase, Hay, Simon I., Hota, Manoranjan, Iyer, Harish, Iyer, Veena, Saurabh Jain, Jain, Sudhir K., P. Jambulingam, K.S. James, M.S. Jawahar, P. Jeemon, Jose, Jacob, P.L. Joshi, Tushar K. Joshi, Vasna Joshua, Juneja, Atul, Kannan, Ravi, Kant, Lalit, Kant, Rajni, Kapil, Umesh, Kar, Anita, Chittaranjan Kar, Kassebaum, Nicholas J., Kataki, Amal C., Katoch, Kiran, Kaur, Tanvir, Khanna, Tripti, Khaparde, Sunil D., Khasnobis, Pradeep, Khera, Ajay, Kinra, Sanjay, Parvaiz A. Koul, Krishnan, Anand, Kumar, Anil, Avdhesh Kumar, G. Anil Kumar, Kumar, Raman K., Kumar, Rashmi, R. Vijai Kumar, Kumar, Sanjiv, Sathish Kumar, Kumar, Sunil, Anura V. Kurpad, Hmwe H. Kyu, Laishram Ladusingh, Lal, Shiv, Avula Laxmaiah, Lim, Stephen S., Lobo, Derek, Lodha, Rakesh, Thingnganing Longvah, Madala, Jayaram, P.A. Mahesh, Malhotra, Rajesh, Matthews Mathai, Mathew, Ashish J., Mathew, Joseph L., Mathur, Manu R., Mathur, Prashant, Dileep Mavalankar, Mehendale, Sanjay, Mehrotra, Ravi, Menon, Geetha R., Mohamed, Ahmed J., B.V. Murali Mohan, Mukherjee, Ajit, Satinath Mukhopadhyay, Muraleedharan, Pallavi, Murhekar, Manoj, Murray, Christopher J.L., G.V.S. Murthy, Mutreja, Parul, Naghavi, Mohsen, Nitish Naik, Nair, Sanjeev, Saritha Nair, Sreenivas A. Nair, Lipika Nanda, A. Nandakumar, Nongmaithem, Romi S., Oommen, Anu M., Pandey, Arvind, Pandey, Rajendra, Jeyaraj D. Pandian, Sapan Pandya, Sreejith Parameswaran, Patel, Vikram, Sanghamitra Pati, Paul, Vinod K., C. Ponnuraja, Dorairaj Prabhakaran, Kameshwar Prasad, Prasad, Narayan, Purwar, Manorama, Kirankumar Rade, Rahi, Manju, Rahim, Asma, Raina, Neena, Sreebhushan Raju, Siddarth Ramji, Thara Rangaswamy, Paturi V. Rao, Raghuram Rao, Rasaily, Reeta, Goura K. Rath, H.K.T. Raza, K. Srinath Reddy, Reiner, Robert C., C.R. Revankar, Roth, Gregory A., Rout, Sarit K., Ambuj Roy, Roy, Nupur, Sabde, Yogesh, K.S. Sachdeva, Harsiddha Sadhu, Sagar, Rajesh, Damodar Sahu, Sundeep Salvi, Parag Sancheti, Sankar, Mari J., Dipika Saraf, Sarmukaddam, Sanjeev B., Selvaraj, Sakthivel, P.K. Sen, Seshadri, Suresh, B. Sesikeran, Sharma, Meenakshi, Sharma, Rajendra, Ravendra K. Sharma, R.S. Sharma, Shekhar, Chander, Shet, Anita, D.K. Shukla, Shukla, Rajan, Sharvari R. Shukla, Gagandeep Singh, Jitenkumar Singh, Singh, Lucky, Singh, Manjula, Singh, Narinder P., Singh, Neeru, Singh, Shalini, Virendra Singh, Sinha, Anju, Dhirendra N. Sinha, V. Sreenivas, R.K. Srivastava, P.K. Srivastava, A. Srividya, Stanaway, Jeffrey D., R. Sujatha, Dipika Sur, Suri, Vanita, Rajaraman Swaminathan, Soumya Swaminathan, L. Swasticharan, P.N. Sylaja, Babasaheb Tandale, Tandon, Nikhil, J.S. Thakur, Kavumpurathu R. Thankappan, Thomas, Nihal, G.S. Toteja, Suryakant Tripathi, Srikanth Tripathy, K. Vaitheeswaran, Valecha, Neena, Varghese, Chris M., Varughese, Santosh, S. Venkatesh, K. Venugopal, Vijayakumar, Lakshmi, R.N. Visweswara, Vos, Theo, Haidong Wang, Whiteford, Harvey, Williams, Joan E., Xavier, Denis, Geetika Yadav, Chittaranjan S. Yajnik, Geevar Zachariah, and Zodpey, Sanjay
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- 2017
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24. Dietary changes in a diabetes prevention intervention among people with prediabetes: the Diabetes Community Lifestyle Improvement Program trial
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Ford, Christopher N., primary, Weber, Mary Beth, additional, Staimez, Lisa R., additional, Anjana, Ranjit M., additional, Lakshmi, Karthikeyan, additional, Mohan, Viswanathan, additional, Narayan, K. M. Venkat, additional, and Harish, Ranjani, additional
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- 2018
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25. Health Effects of Overweight and Obesity in 195 Countries over 25 Years
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Afshin, Ashkan, Forouzanfar, Mohammad H., Reitsma, Marissa B., Sur, Patrick, Estep, Kara, Lee, Alex, Marczak, Laurie, Mokdad, Ali H., Moradi-Lakeh, Maziar, Naghavi, Mohsen, Salama, Joseph S., Vos, Theo, Abate, Kalkidan H., Abbafati, Cristiana, Ahmed, Muktar B., Al-Aly, Ziyad, Alkerwi, Ala'a, Al-Raddadi, Rajaa, Amare, Azmeraw T., Amberbir, Alemayehu, Amegah, Adeladza K., Amini, Erfan, Amrock, Stephen M., Anjana, Ranjit M., Arnlov, Johan, Asayesh, Hamid, Banerjee, Amitava, Barac, Aleksandra, Baye, Estifanos, Bennett, Derrick A., Beyene, Addisu S., Biadgilign, Sibhatu, Biryukov, Stan, Bjertness, Espen, Boneya, Dube J., Campos-Nonato, Ismael, Carrero, Juan J., Cecilio, Pedro, Cercy, Kelly, Ciobanu, Liliana G., Cornaby, Leslie, Damtew, Solomon A., Dandona, Lalit, Dandona, Rakhi, Dharmaratne, Samath D., Duncan, Bruce B., Eshrati, Babak, Esteghamati, Alireza, Feigin, Valery L., Fernandes, Joao C., Furst, Thomas, Gebrehiwot, Tsegaye T., Gold, Audra, Gona, Philimon N., Goto, Atsushi, Habtewold, Tesfa D., Hadush, Kokeb T., Hafezi-Nejad, Nima, Hay, Simon I., Horino, Masako, Islami, Farhad, Kamal, Ritul, Kasaeian, Amir, Katikireddi, Srinivasa V., Kengne, Andre P., Kesavachandran, Chandrasekharan N., Khader, Yousef S., Khang, Young-Ho, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun J., Kinfu, Yohannes, Kosen, Soewarta, Ku, Tiffany, Defo, Barthelemy Kuate, Kumar, G. Anil, Larson, Heidi J., Leinsalu, Mall, Liang, Xiaofeng, Lim, Stephen S., Liu, Patrick, Lopez, Alan D., Lozano, Rafael, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah C., Mazidi, Mohsen, McAlinden, Colm, McGarvey, Stephen T., Mengistu, Desalegn T., Mensah, George A., Mensink, Gert B. M., Mezgebe, Haftay B., Mirrakhimov, Erkin M., Mueller, Ulrich O., Noubiap, Jean J., Obermeyer, Carla M., Ogbo, Felix A., Owolabi, Mayowa O., Patton, George C., Pourmalek, Farshad, Qorbani, Mostafa, Rafay, Anwar, Rai, Rajesh K., Ranabhat, Chhabi L., Reinig, Nikolas, Safiri, Saeid, Salomon, Joshua A., Sanabria, Juan R., Santos, Itamar S., Sartorius, Benn, Sawhney, Monika, Schmidhuber, Josef, Schutte, Aletta E., Schmidt, Maria I., Sepanlou, Sadaf G., Shamsizadeh, Moretza, Sheikhbahaei, Sara, Shin, Min-Jeong, Shiri, Rahman, Shiue, Ivy, Roba, Hirbo S., Silva, Diego A. S., Silverberg, Jonathan I., Singh, Jasvinder A., Stranges, Saverio, Swaminathan, Soumya, Tabares-Seisdedos, Rafael, Tadese, Fentaw, Tedla, Bemnet A., Tegegne, Balewgizie S., Terkawi, Abdullah S., Thakur, J. S., Tonelli, Marcello, Topor-Madry, Roman, Tyrovolas, Stefanos, Ukwaja, Kingsley N., Uthman, Olalekan A., Vaezghasemi, Masoud, Vasankari, Tommi, Vlassov, Vasiliy V., Vollset, Stein E., Weiderpass, Elisabete, Werdecker, Andrea, Wesana, Joshua, Westerman, Ronny, Yano, Yuichiro, Yonemoto, Naohiro, Yonga, Gerald, Zaidi, Zoubida, Zenebe, Zerihun M., Zipkin, Ben, Murray, Christopher J. L., Afshin, Ashkan, Forouzanfar, Mohammad H., Reitsma, Marissa B., Sur, Patrick, Estep, Kara, Lee, Alex, Marczak, Laurie, Mokdad, Ali H., Moradi-Lakeh, Maziar, Naghavi, Mohsen, Salama, Joseph S., Vos, Theo, Abate, Kalkidan H., Abbafati, Cristiana, Ahmed, Muktar B., Al-Aly, Ziyad, Alkerwi, Ala'a, Al-Raddadi, Rajaa, Amare, Azmeraw T., Amberbir, Alemayehu, Amegah, Adeladza K., Amini, Erfan, Amrock, Stephen M., Anjana, Ranjit M., Arnlov, Johan, Asayesh, Hamid, Banerjee, Amitava, Barac, Aleksandra, Baye, Estifanos, Bennett, Derrick A., Beyene, Addisu S., Biadgilign, Sibhatu, Biryukov, Stan, Bjertness, Espen, Boneya, Dube J., Campos-Nonato, Ismael, Carrero, Juan J., Cecilio, Pedro, Cercy, Kelly, Ciobanu, Liliana G., Cornaby, Leslie, Damtew, Solomon A., Dandona, Lalit, Dandona, Rakhi, Dharmaratne, Samath D., Duncan, Bruce B., Eshrati, Babak, Esteghamati, Alireza, Feigin, Valery L., Fernandes, Joao C., Furst, Thomas, Gebrehiwot, Tsegaye T., Gold, Audra, Gona, Philimon N., Goto, Atsushi, Habtewold, Tesfa D., Hadush, Kokeb T., Hafezi-Nejad, Nima, Hay, Simon I., Horino, Masako, Islami, Farhad, Kamal, Ritul, Kasaeian, Amir, Katikireddi, Srinivasa V., Kengne, Andre P., Kesavachandran, Chandrasekharan N., Khader, Yousef S., Khang, Young-Ho, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun J., Kinfu, Yohannes, Kosen, Soewarta, Ku, Tiffany, Defo, Barthelemy Kuate, Kumar, G. Anil, Larson, Heidi J., Leinsalu, Mall, Liang, Xiaofeng, Lim, Stephen S., Liu, Patrick, Lopez, Alan D., Lozano, Rafael, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah C., Mazidi, Mohsen, McAlinden, Colm, McGarvey, Stephen T., Mengistu, Desalegn T., Mensah, George A., Mensink, Gert B. M., Mezgebe, Haftay B., Mirrakhimov, Erkin M., Mueller, Ulrich O., Noubiap, Jean J., Obermeyer, Carla M., Ogbo, Felix A., Owolabi, Mayowa O., Patton, George C., Pourmalek, Farshad, Qorbani, Mostafa, Rafay, Anwar, Rai, Rajesh K., Ranabhat, Chhabi L., Reinig, Nikolas, Safiri, Saeid, Salomon, Joshua A., Sanabria, Juan R., Santos, Itamar S., Sartorius, Benn, Sawhney, Monika, Schmidhuber, Josef, Schutte, Aletta E., Schmidt, Maria I., Sepanlou, Sadaf G., Shamsizadeh, Moretza, Sheikhbahaei, Sara, Shin, Min-Jeong, Shiri, Rahman, Shiue, Ivy, Roba, Hirbo S., Silva, Diego A. S., Silverberg, Jonathan I., Singh, Jasvinder A., Stranges, Saverio, Swaminathan, Soumya, Tabares-Seisdedos, Rafael, Tadese, Fentaw, Tedla, Bemnet A., Tegegne, Balewgizie S., Terkawi, Abdullah S., Thakur, J. S., Tonelli, Marcello, Topor-Madry, Roman, Tyrovolas, Stefanos, Ukwaja, Kingsley N., Uthman, Olalekan A., Vaezghasemi, Masoud, Vasankari, Tommi, Vlassov, Vasiliy V., Vollset, Stein E., Weiderpass, Elisabete, Werdecker, Andrea, Wesana, Joshua, Westerman, Ronny, Yano, Yuichiro, Yonemoto, Naohiro, Yonga, Gerald, Zaidi, Zoubida, Zenebe, Zerihun M., Zipkin, Ben, and Murray, Christopher J. L.
- Abstract
BACKGROUND Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain. METHODS We analyzed data from 68.5 million persons to assess the trends in the prevalence of overweight and obesity among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body-mass index (BMI), according to age, sex, cause, and BMI in 195 countries between 1990 and 2015. RESULTS In 2015, a total of 107.7 million children and 603.7 million adults were obese. Since 1980, the prevalence of obesity has doubled in more than 70 countries and has continuously increased in most other countries. Although the prevalence of obesity among children has been lower than that among adults, the rate of increase in childhood obesity in many countries has been greater than the rate of increase in adult obesity. High BMI accounted for 4.0 million deaths globally, nearly 40% of which occurred in persons who were not obese. More than two thirds of deaths related to high BMI were due to cardiovascular disease. The disease burden related to high BMI has increased since 1990; however, the rate of this increase has been attenuated owing to decreases in underlying rates of death from cardiovascular disease. CONCLUSIONS The rapid increase in the prevalence and disease burden of elevated BMI highlights the need for continued focus on surveillance of BMI and identification, implementation, and evaluation of evidence-based interventions to address this problem.
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- 2017
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26. The Stepwise Approach to Diabetes Prevention: Results From the D-CLIP Randomized Controlled Trial
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Weber, Mary Beth, primary, Ranjani, Harish, additional, Staimez, Lisa R., additional, Anjana, Ranjit M., additional, Ali, Mohammed K., additional, Narayan, K.M. Venkat, additional, and Mohan, Viswanathan, additional
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- 2016
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27. Prevalence of Glucose Intolerance Among Children and Adolescents in Urban South India (ORANGE-2)
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Ranjani, Harish, primary, Sonya, Jagadesan, additional, Anjana, Ranjit M., additional, and Mohan, Viswanathan, additional
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- 2013
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28. Noninvasive Type 2 Diabetes Screening: Clinical Evaluation of SCOUT DS in an Asian Indian Cohort
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Mohan, Viswanathan, primary, Rani, C.S. Shanthi, additional, Regin, Bhaskaran S., additional, Balasubramanyam, Muthuswamy, additional, Anjana, Ranjit M., additional, Matter, Nathaniel I., additional, Poongothai, Subramani, additional, Deepa, Mohan, additional, and Pradeepa, Rajendra, additional
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- 2013
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29. Physical activity and inactivity patterns in India – results from the ICMR-INDIAB study (Phase-1) [ICMR-INDIAB-5].
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Anjana, Ranjit M., Pradeepa, Rajendra, Das, Ashok K., Deepa, Mohan, Bhansali, Anil, Joshi, Shashank R., Joshi, Prashant P., Dhandhania, Vinay K., Rao, Paturi V., Sudha, Vasudevan, Subashini, Radhakrishnan, Unnikrishnan, Ranjit, Madhu, Sri V., Kaur, Tanvir, Mohan, Viswanathan, and Shukla, Deepak K.
- Subjects
- *
PREVENTION of obesity , *ANALYSIS of variance , *CHI-squared test , *QUESTIONNAIRES , *RECREATION , *RESEARCH funding , *STATISTICS , *DATA analysis , *SOCIOECONOMIC factors , *BODY mass index , *SEDENTARY lifestyles , *PHYSICAL activity , *DATA analysis software - Abstract
Background The rising prevalence of diabetes and obesity in India can be attributed, at least in part, to increasing levels of physical inactivity. However, there has been no nationwide survey in India on physical activity levels involving both the urban and rural areas in whole states of India. The aim of the present study was to assess physical activity patterns across India - as part of the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study. Methods Phase 1 of the ICMR-INDIAB study was conducted in four regions of India (Tamilnadu, Maharashtra, Jharkhand and Chandigarh representing the south, west, east and north of India respectively) with a combined population of 213 million people. Physical activity was assessed using the Global Physical Activity Questionnaire (GPAQ) in 14227 individuals aged ≥ 20 years [urban- 4,173; rural- 10,054], selected from the above regions using a stratified multistage design. Results Of the 14227 individuals studied, 54.4% (n = 7737) were inactive (males: 41.7%), while 31.9% (n = 4537) (males: 58.3%) were active and 13.7% (n = 1953) (males: 61.3%) were highly active. Subjects were more inactive in urban, compared to rural, areas (65.0% vs. 50.0%; p < 0.001). Males were significantly more active than females (p < 0.001). Subjects in all four regions spent more active minutes at work than in the commuting and recreation domains. Absence of recreational activity was reported by 88.4%, 94.8%, 91.3% and 93.1% of the subjects in Chandigarh, Jharkhand, Maharashtra and Tamilnadu respectively. The percentage of individuals with no recreational activity increased with age (Trend χ2: 199.1, p < 0.001). Conclusions The study shows that a large percentage of people in India are inactive with fewer than 10% engaging in recreational physical activity. Therefore, urgent steps need to be initiated to promote physical activity to stem the twin epidemics of diabetes and obesity in India. [ABSTRACT FROM AUTHOR]
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- 2014
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30. Data Resource Profile: Understanding the patterns and determinants of health in South Asians-the South Asia Biobank.
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Song, Peige, Gupta, Ananya, Goon, Ian Y, Hasan, Mehedi, Mahmood, Sara, Pradeepa, Rajendra, Siddiqui, Samreen, Frost, Gary S, Kusuma, Dian, Miraldo, Marisa, Sassi, Franco, Wareham, Nick J, Ahmed, Sajjad, Anjana, Ranjit M., Brage, Soren, Forouhi, Nita G, Jha, Sujeet, Kasturiratne, Anuradhani, Katulanda, Prasad, and Khawaja, Khadija I
- Subjects
SOUTH Asians ,HEALTH facilities ,THERAPEUTICS ,MEDICAL sciences ,CARDIOVASCULAR diseases ,BODY composition ,ARRHYTHMIA ,RESEARCH ,TISSUE banks ,RESEARCH methodology ,MEDICAL cooperation ,EVALUATION research ,COMPARATIVE studies - Published
- 2021
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31. Lower versus Higher Glycemic Criteria for Diagnosis of Gestational Diabetes.
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Painter, Rebecca C., van Rijn, Bas B., Bossuyt, Patrick M. M., Smith, Gordon C. S., Sovio, Ulla, Rhoads, George G., Mohan, Viswanathan, Unnikrishnan, Ranjit, and Anjana, Ranjit M.
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- *
HYPERGLYCEMIA , *GESTATIONAL diabetes , *GLUCOSE tolerance tests - Published
- 2022
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32. Lifetime risk of diabetes in metropolitan cities in India
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Viswanathan Mohan, Dorairaj Prabhakaran, Nikhil Tandon, Shivani A. Patel, Lynda Clarke, Rebecca Jones, Ranjit Mohan Anjana, K.M. Venkat Narayan, Shammi Luhar, Sanjay Kinra, Masood Kadir, Dimple Kondal, Mohammed K. Ali, Luhar, Shammi [0000-0002-1080-8893], Kondal, Dimple [0000-0002-1417-9510], Anjana, Ranjit M [0000-0002-4843-1374], Patel, Shivani A [0000-0003-0082-5857], Kinra, Sanjay [0000-0001-6690-4625], Ali, Mohammed K [0000-0001-7266-2503], Prabhakaran, Dorairaj [0000-0002-3172-834X], Kadir, M Masood [0000-0002-1029-4490], Tandon, Nikhil [0000-0003-4604-1986], Mohan, Viswanathan [0000-0001-5038-6210], Narayan, KM Venkat [0000-0001-8621-5405], and Apollo - University of Cambridge Repository
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Adult ,Male ,South asia ,Time Factors ,Endocrinology, Diabetes and Metabolism ,Population ,India ,030209 endocrinology & metabolism ,Risk Assessment ,Article ,Disease-Free Survival ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Age Distribution ,Life Expectancy ,Risk Factors ,Diabetes mellitus ,Internal Medicine ,Diabetes Mellitus ,Prevalence ,Medicine ,Urban ,Humans ,030212 general & internal medicine ,Obesity ,Sex Distribution ,education ,Body mass index ,Cardiometabolic risk ,education.field_of_study ,business.industry ,Incidence ,Diabetes ,Urban Health ,Diabetes-free life expectancy ,Middle Aged ,Models, Theoretical ,medicine.disease ,Metropolitan area ,Lifetime risk ,Markov Chains ,Metropolitan cities ,Life expectancy ,Female ,business ,Demography - Abstract
Aims/hypothesis We aimed to estimate the lifetime risk of diabetes and diabetes-free life expectancy in metropolitan cities in India among the population aged 20 years or more, and their variation by sex, age and BMI. Methods A Markov simulation model was adopted to estimate age-, sex- and BMI-specific lifetime risk of developing diabetes and diabetes-free life expectancy. The main data inputs used were as follows: age-, sex- and BMI-specific incidence rates of diabetes in urban India taken from the Centre for Cardiometabolic Risk Reduction in South Asia (2010–2018); age-, sex- and urban-specific rates of mortality from period lifetables reported by the Government of India (2014); and prevalence of diabetes from the Indian Council for Medical Research INdia DIABetes study (2008–2015). Results Lifetime risk (95% CI) of diabetes in 20-year-old men and women was 55.5 (51.6, 59.7)% and 64.6 (60.0, 69.5)%, respectively. Women generally had a higher lifetime risk across the lifespan. Remaining lifetime risk (95% CI) declined with age to 37.7 (30.1, 46.7)% at age 60 years among women and 27.5 (23.1, 32.4)% in men. Lifetime risk (95% CI) was highest among obese Indians: 86.0 (76.6, 91.5)% among 20-year-old women and 86.9 (75.4, 93.8)% among men. We identified considerably higher diabetes-free life expectancy at lower levels of BMI. Conclusions/interpretation Lifetime risk of diabetes in metropolitan cities in India is alarming across the spectrum of weight and rises dramatically with higher BMI. Prevention of diabetes among metropolitan Indians of all ages is an urgent national priority, particularly given the rapid increase in urban obesogenic environments across the country.
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- 2020
33. Moderate-to-vigorous physical activity changes in a diabetes prevention intervention randomized trial among South Asians with prediabetes - The D-CLIP trial.
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Ford, Christopher N., Do, Whitney L., Weber, Mary Beth, Narayan, K.M. Venkat, Ranjani, Harish, Anjana, R.M, Beth Weber, Mary, Venkat Narayan, K M, Harish, Ranjani, and Anjana, Ranjit M
- Subjects
- *
SOUTH Asians , *PREDIABETIC state , *PHYSICAL activity , *RANDOM effects model , *DIABETES , *DIABETES prevention , *RESEARCH , *RESEARCH methodology , *ARTHRITIS Impact Measurement Scales , *MEDICAL cooperation , *EVALUATION research , *COMPARATIVE studies , *RANDOMIZED controlled trials , *EXERCISE , *IMPACT of Event Scale , *HEALTH promotion - Abstract
Aims: The Diabetes Community Lifestyle Improvement Program (D-CLIP) was a lifestyle education program to prevent diabetes in South Asians with prediabetes. This paper examines the impact of the D-CLIP intervention on moderate-to-vigorous intensity physical activity (MVPA).Methods: This randomized controlled trial to prevent diabetes included 573 individuals with prediabetes from Chennai, India. The intervention was designed to increase MVPA to ≥150 minutes per week. MVPA was measured by questionnaire at baseline, six, 12, 18, 24, 30 and 36 months of follow-up. Random effects models were used to examine the relationship between treatment group and odds of reporting ≥150 weekly minutes of MVPA and to examine the impact of the intervention on weekly MVPA.Results: With the exception of the proportion of respondents at baseline with a high waist circumference, selected sample characteristics did not differ at baseline between the intervention and control groups. The intervention significantly (p < 0.05) increased the proportion of respondents who reported ≥150 weekly minutes of MVPA by 28.5%, 13.6% and 14.0% at six, 12 and 18 months respectively. Mean minutes of weekly MVPA significantly (p < 0.05) increased by an additional 56.7, 34.3, 23.6 and 24.3 minutes/week at six, 12, 18, and 24 months, respectively.Conclusion: The D-CLIP intervention significantly increased MVPA at six, 12 and 18 months of follow-up. Interventions to prevent diabetes in South Asians with prediabetes can significantly increase MVPA in this population. [ABSTRACT FROM AUTHOR]- Published
- 2021
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34. Adapting and scaling a proven diabetes prevention program across 11 worksites in India: the INDIA-WORKS trial.
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Weber MB, Rhodes EC, Ranjani H, Jeemon P, Ali MK, Hennink MM, Anjana RM, Mohan V, Narayan KV, and Prabhakaran D
- Abstract
Background: Delivery of proven structured lifestyle change education for reducing the burden of cardiometabolic diseases such as diabetes at worksites could overcome barriers to program adoption and improve sustainability and reach of these programs; however, tailoring to the worksite setting is essential., Methods: The Integrating Diabetes Prevention in Workplaces (INDIA-WORKS) study tested the implementation and effectiveness of a multi-level program for reducing cardiometabolic disease risk factors at eleven large and diverse worksites across India. Herein, we describe and classify program adaptations reported during in-depth interviews and focus group discussions with worksite managers, program staff, peer educators involved in program delivery, and program participants and drop-outs. We used thematic analysis to identify key themes in the data and classified reported program adaptations using the FRAME classification system., Results: Adaptations were led by worksite managers, peer educators, and program staff members. They occurred both pre- and during program implementation and were both planned (proactive) and unplanned (proactive and reactive). The most frequently reported adaptations to the individual-level intervention were curriculum changes to tailor lessons to the local context, make the program more appealing to the workers at the site, or add exercise options. Other content adaptations included improvements to the screening protocol, intervention scheduling, and outreach plans to tailor participant recruitment and retention to the sites. Environment-level content adaptations included expanding or leveraging healthy food and exercise options at the worksites. Challenges to adaptation included scheduling and worksite-level challenges. Participants discussed the need to continue adapting the program in the future to continue making it relevant for worksite settings and engaging for employees., Conclusion: This study describes and classifies site-specific modifications to a structured lifestyle change education program with worksite-wide health improvements in India. This adds to the literature on implementation adaptation in general and worksite wellness in India, a country with a large and growing workforce with, or at risk of, serious cardiometabolic diseases. This information is key for program scale-up, dissemination, and implementation in other settings., Trial Registration: Clinicaltrial.gov NCT02813668, registered June 27, 2016., Competing Interests: Competing interests The authors declare that they have no competing interests
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- 2023
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35. Lower versus Higher Glycemic Criteria for Diagnosis of Gestational Diabetes.
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Mohan V, Unnikrishnan R, and Anjana RM
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- Pregnancy, Female, Humans, Glucose Tolerance Test, Diabetes, Gestational diagnosis, Hyperglycemia
- Published
- 2022
- Full Text
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36. Health Effects of Overweight and Obesity in 195 Countries over 25 Years.
- Author
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Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, Marczak L, Mokdad AH, Moradi-Lakeh M, Naghavi M, Salama JS, Vos T, Abate KH, Abbafati C, Ahmed MB, Al-Aly Z, Alkerwi A, Al-Raddadi R, Amare AT, Amberbir A, Amegah AK, Amini E, Amrock SM, Anjana RM, Ärnlöv J, Asayesh H, Banerjee A, Barac A, Baye E, Bennett DA, Beyene AS, Biadgilign S, Biryukov S, Bjertness E, Boneya DJ, Campos-Nonato I, Carrero JJ, Cecilio P, Cercy K, Ciobanu LG, Cornaby L, Damtew SA, Dandona L, Dandona R, Dharmaratne SD, Duncan BB, Eshrati B, Esteghamati A, Feigin VL, Fernandes JC, Fürst T, Gebrehiwot TT, Gold A, Gona PN, Goto A, Habtewold TD, Hadush KT, Hafezi-Nejad N, Hay SI, Horino M, Islami F, Kamal R, Kasaeian A, Katikireddi SV, Kengne AP, Kesavachandran CN, Khader YS, Khang YH, Khubchandani J, Kim D, Kim YJ, Kinfu Y, Kosen S, Ku T, Defo BK, Kumar GA, Larson HJ, Leinsalu M, Liang X, Lim SS, Liu P, Lopez AD, Lozano R, Majeed A, Malekzadeh R, Malta DC, Mazidi M, McAlinden C, McGarvey ST, Mengistu DT, Mensah GA, Mensink GBM, Mezgebe HB, Mirrakhimov EM, Mueller UO, Noubiap JJ, Obermeyer CM, Ogbo FA, Owolabi MO, Patton GC, Pourmalek F, Qorbani M, Rafay A, Rai RK, Ranabhat CL, Reinig N, Safiri S, Salomon JA, Sanabria JR, Santos IS, Sartorius B, Sawhney M, Schmidhuber J, Schutte AE, Schmidt MI, Sepanlou SG, Shamsizadeh M, Sheikhbahaei S, Shin MJ, Shiri R, Shiue I, Roba HS, Silva DAS, Silverberg JI, Singh JA, Stranges S, Swaminathan S, Tabarés-Seisdedos R, Tadese F, Tedla BA, Tegegne BS, Terkawi AS, Thakur JS, Tonelli M, Topor-Madry R, Tyrovolas S, Ukwaja KN, Uthman OA, Vaezghasemi M, Vasankari T, Vlassov VV, Vollset SE, Weiderpass E, Werdecker A, Wesana J, Westerman R, Yano Y, Yonemoto N, Yonga G, Zaidi Z, Zenebe ZM, Zipkin B, and Murray CJL
- Subjects
- Adult, Body Mass Index, Cardiovascular Diseases complications, Cardiovascular Diseases mortality, Child, Female, Global Health, Humans, Male, Obesity complications, Overweight complications, Overweight epidemiology, Pediatric Obesity epidemiology, Prevalence, Obesity epidemiology
- Abstract
Background: Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain., Methods: We analyzed data from 68.5 million persons to assess the trends in the prevalence of overweight and obesity among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body-mass index (BMI), according to age, sex, cause, and BMI in 195 countries between 1990 and 2015., Results: In 2015, a total of 107.7 million children and 603.7 million adults were obese. Since 1980, the prevalence of obesity has doubled in more than 70 countries and has continuously increased in most other countries. Although the prevalence of obesity among children has been lower than that among adults, the rate of increase in childhood obesity in many countries has been greater than the rate of increase in adult obesity. High BMI accounted for 4.0 million deaths globally, nearly 40% of which occurred in persons who were not obese. More than two thirds of deaths related to high BMI were due to cardiovascular disease. The disease burden related to high BMI has increased since 1990; however, the rate of this increase has been attenuated owing to decreases in underlying rates of death from cardiovascular disease., Conclusions: The rapid increase in the prevalence and disease burden of elevated BMI highlights the need for continued focus on surveillance of BMI and identification, implementation, and evaluation of evidence-based interventions to address this problem. (Funded by the Bill and Melinda Gates Foundation.).
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- 2017
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37. Global Account of Barriers and Facilitators of Physical Activity Among Patients with Diabetes Mellitus: A Narrative Review of the Literature.
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Adeniyi AF, Anjana RM, and Weber MB
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- Communication Barriers, Culture, Geography, Global Health, Humans, Knowledge, Life Style, Diabetes Mellitus epidemiology, Diabetes Mellitus therapy, Exercise psychology
- Abstract
Background: With diabetes rates escalating globally, there is the need for a better integration of all aspects of diabetes care for improved population outcomes. An understanding, not only of regional but global literature on physical activity barriers and its facilitators is important if healthcare providers and policy makers are to create programs tailored to their populations., Objectives: Herein, we report the results of a narrative review of the global barriers and facilitators of physical activity for patients with diabetes mellitus., Methodology: An in-depth literature search was conducted to identify English-language studies that examined physical activity barriers and associated facilitators among patients with diabetes mellitus. Major electronic literature databases that were searched included Google Scholar, PubMed, Hub-Med, and Highwire., Results: Studies were available from Africa, Asia, Australia, Europe, and, predominantly North America. A total of 34 predominantly internal barriers emerged globally. The most commonly reported were time constrains, fear of provoking additional disorders, exercise venue and weather related barriers. Facilitators of physical activity were reported for most of the internal barriers (e.g. time constraints, lack of knowledge etc) while the external barriers (e.g. weather, environmental pollution etc) received only a minimal attention., Conclusions: Globally, patients with diabetes are confronted with an enormous number of physical activity barriers. Unlike the robust solutions proffered for the internal barriers, the literature is largely silent about solutions to the external barriers, which though fewer, may be highly influential. Additional data is needed to better understand physical activity behaviors in populations outside of North America.
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- 2016
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