University of Cambridge > Talks.cam > MRC Epidemiology and CEDAR Seminars > Tackling obesity with Big Data – Seminar 16/03/16 – methods & models

Tackling obesity with Big Data – Seminar 16/03/16 – methods & models

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Paul Browne.

ESRC Strategic Network: tackling obesity with Big Data, Seminar 2 – methods and models

This is the second of four seminars held by the ESRC Obesity Strategic Network, to explore how Big Data can best be used to understand and tackle obesity.The seminar will be presented by:

Adam Drewnowski, School of Public Health, University of Washington
Darren Greenwood, Leeds Institute of Cardiovascular and Metabolic Medicine
James Woodcock, CEDAR & MRC Epidemiology Unit, University of Cambridge
Robin Lovelace, School of Geography, University of Leeds

The panel discussion with be facilitated by Seraphim Alvanides, and include the seminar speakers along with Sandy Tubeuf and Daniel Lewis.

Full agenda and booking at www.cdrc.ac.uk/research/march-2016/

For further information contact Michelle Morris m.morris@leeds.ac.uk / 0113 343 0883

About the network

Increasing volumes of ‘data’ about individual behaviours are becoming available through social media, mobile phone geotagging, store loyalty cards and purchasing transaction data . There are many opportunities to use these data to benefit society. One key example is to better understand how the environment in which we live influences our behaviours leading to health concerns such as overweight and obesity. A better understanding of these complex interactions offers scope for designing interventions to addressing this significant ‘wicked’ challenge.

Obesity continues to be a problem in the UK with the most recent figures reporting 67% of men and 57% of women classed as overweight or obese. Overweight and obesity are serious health concerns and are risk factors for other non-communicable diseases such as cardiovascular disease, type 2 diabetes, hypertension, osteoarthritis and certain cancers. In many places the environment in which we live makes it easy to gain weight. For example, fast food outlets are regularly closer to our homes and workplaces than supermarkets with healthier food choices, and it is often safer or more convenient to drive to work rather than walk. These factors encourage individuals to eat unhealthy foods and be sedentary rather than physically active, contributing to weight gain and subsequent overweight and obesity. This setting has been termed an ‘obesogenic environment’.

In order to promote healthier eating and more physical activity; groups of professionals need to work together to better understand how to modify these environmental influences so that it is easier to eat a good diet and be more active These groups of professionals include researchers with an interest in diet and physical activity as well as involved with promoting active travel, reducing crime and improving retail planning. Real changes also need the involvement of local government, planning organisations, retailers, charities and health practitioners. Experts in data analytics are required to harness the volumes of information available and use these in a meaningful way.

This network aims to do just that – bring together many different types of researchers with policy makers, retail and third sector organisations to work collaboratively in order to plan how to make best use of the large volumes of data now available to inform research, policy and practice in the prevention of obesity.

A network like this is a prime example of how the whole is far greater than the sum of its parts and together there is great potential to make a difference.

More at www.cdrc.ac.uk

This talk is part of the MRC Epidemiology and CEDAR Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2020 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity