Kishan Bakrania

2016 AFPGR Participant

 

'Associations of mutually exclusive categories of physical activity and sedentary time with markers of cardiometabolic health in English adults: a cross-sectional analysis of the Health Survey for England'

About Kishan
Kishan Bakrania is a research student based at the Leicester Diabetes Centre who is currently working towards completing his doctoral degree in Epidemiology. Kishan is supervised by: Prof. Kamlesh Khunti, Dr. Thomas Yates, Dr. Charlotte Edwardson, Prof. Melanie Davies and Dr. Laura Gray. Profile portrait image
About My Research

My PhD is based on exploring novel approaches for analysing physical activity and sedentary behaviour data more effectively, and generating new hypotheses for experimental investigation via further examining the associations between measures of physical activity, sedentary behaviour and health. In brief, this project will assess innovative measurement techniques and help fill several epidemiological gaps in the knowledge - which will improve our overall understanding, and provide a deeper insight into the relationships shared between physical activity, sedentary behaviour and health (cardiometabolic diseases, cognitive function, mortality, etc.). These objectives will be achieved via exploiting a number of large multifaceted datasets (Health Survey for England, UK Biobank, etc.) which will allow for more powerful and valid associations to be established, with the possibility of developing and delivering significant public healthcare recommendations.

Research Findings

Bakrania K, Edwardson CL, Bodicoat DH, et al. Associations of mutually exclusive categories of physical activity and sedentary time with markers of cardiometabolic health in English adults: a cross-sectional analysis of the Health Survey for England. BMC Public Health 2016;16:25. doi:10.1186/s12889-016-2694-9. PMID:26753523.

O'Donovan G, Bakrania K, Ghouri N, et al. Nonexercise Equations to Estimate Fitness in White European and South Asian Men. Med Sci Sports Exerc 2016;48(5):854-9. doi:10.1249/MSS.0000000000000836. PMID: 26694847.

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