Abstract
Chronic kidney disease (CKD) is one of the major non-communicable diseases in India, yet there is a lack of nationally representative studies. The present study aimed to correlate certain demographic factors like tobacco use, alcohol use, the use of clean fuel, economic condition, obesity, and diabetes with CKD burden. National Family Health Survey 4 (2015–2016), Global Adult Tobacco Survey 2: India 2016–2017, and India: Health of the Nation’s States were used as data sources. Spearman correlation coefficient, scatter plot, and multivariate linear regression were used for analysis, considering state as a unit. Obesity and diabetes were significantly correlated with CKD burden (r = 0.452, p = 0.012 and r = 0.789, p = 0.000, respectively). Even after multivariate regression, they were found significant predictors for CKD burden. For reducing the burden of CKD, emphasis should be given to early diagnosis and management of diabetes and lifestyle modification.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
