From  5–9 September 2022, the MRC Epidemiology Unit will be holding its 10th Physical Activity Measurement Seminar at The Møller Institute in Cambridge, UK.

The course is primarily aimed at Research Assistants and PhD students interested or involved in the objective monitoring of free-living physical activity. However, anyone interested in this area of research is more than welcome to apply.

The seminar takes the format of a 5 day intensive residential course at the Møller Institute in Cambridge, is expected to attract delegates from all over the world.

Register to attend the Physical Activity Measurement Seminar 2022

A maximum of 26 places are available, and that the closing date for applications is Friday 6 May 2022.

Details of how to apply, as well as more information about the programme, venue, and cost of attendance, are available on the Physical Activity Measurement Seminar 2022 webpages.

About the Physical Activity Measurement Seminar

The course is a mixture of lectures, practical workshops and tutorials in the measurement of physical activity in the epidemiological setting, and aims to promote high quality data collection through understanding of the underlying principles of measurement and data analysis. The programme is designed to cover the whole process of methodological considerations, data collection (in the field and lab settings), operational issues and analysis and interpretation of data.

The course has a primary focus on the objective measurement of physical activity and key themes include the following:

• Accelerometry
• Heart rate monitoring
• Combined sensing (heart rate & movement)
• Individual calibration / fitness assessment
• Self-report measures

In addition, there will be a number of introductory lectures on other methods & concepts relating to the measurement of physical activity in the epidemiological setting.

Delegates will be encouraged to be interactive in demonstrations and workshops. There will be hands-on experience working with monitors, wearing monitors throughout the week, and opportunities for exploring, processing and analysing this data.