Workshops Preview

We’re excited to share a preview of a few sessions taking place at the ISMPB Workshop. Registration is open now! 

Compositional data analysis (CoDA) in time-use epidemiology

Join this workshop, and learn more about:

  • Analysis and interpretation of physical behavior time-use
  • The ‘whys and hows’ of CoDA

Durations and patterns of physical behaviors-  sedentary behavior, physical activities, and sleeping form a finite whole, typically expressed in terms of percentages of a 24-hour day or some other reference total. Consequently, increasing time spent on one behavior inevitably decrease time in at least one other behavior; thus  these behaviors are intrinsically co-dependent and collinear. This special kind of constrained data needs to be analyzed and understood using a particular procedures; compositional data analysis (CoDA).

Although promising, CoDA has only recently been introduced within the field of physical activity epidemiology and occupational health. Therefore, at this workshop we will

  • Introduce the theoretical concept of CoDA and discuss why time-use data of physical behaviors is compositional
  • Discuss why CoDA is recommended for analysis of physical behavior data
  • Explain the basic steps of CoDA with the main focus on the hands-on aspect of these procedures
  • Provide examples of physical behavior studies using CoDA and the interpretation of such results

Discuss how (and if) CoDA can help answer your research questions related to your own work

Physical behavior profiles determined on basis of repeated measurements within individuals

 

Join this workshop, and learn more about

  • Analysis and interpretation of physical behavior profiles
  • Latent class analysis and latent class growth modeling

Introduction to the workshop

Research on objective measurements of physical behavior often results in huge data sets of multiple variables, and measures are often obtained at repeated occasions. Analysis and interpretation of physical behavior data in relation to health and intervention strategies are obvious challenges. In this case, identifying sub-groups of individuals with distinct activity profiles is a useful tool for examining complex activity patterns, including change in activity patterns over time.

In this workshop, we will:

  • Discuss how latent class analysis and latent class growth modeling can be used to capture sub-groups of individuals with distinct profiles of physical behaviors both in cross sectional and repeated measures data.
  • Present why analysis of physical behavior profiles is useful, explain briefly how it is done, and give illustrative examples from the literature.

Program overview

09:15 – 09:30

Welcome


09:30 – 10:30

Keynote - Andreas Holtermann, University of Southern Denmark: Public and Occupational physical activity research – why different, when is the same

How much time people spend on different behaviors over the day is of great importance for their wellbeing and health. The research on physical activity and health started by the studies of Morris and Paffenbarger on the physical activity at work. Afterwards, the focus shifted to investigating physical activity during commuting, sports and leisure time. Since these very first studies, the research has either been limited to a) investigating the health effects of physical activity in a single domain (often claiming “independence” from the other domains), or b) not incorporating the very different context, constraints and characteristics of the physical activity in the different domains. This has led the research in public and occupational physical activity and health to operate in different “silos”, with different taxonomy, scientific journals, conferences, findings and guidelines.

10:30 – 11:00

Morning Coffee Break


11:00-12:30

Workshops (Part 1):

Assessing physical activity using motion sensors for beginners– data collection, data handling and basic data reporting

Örjan Ekblom, The Swedish School of Sport and Health Sciences


Compositional Data Analysis - when and how

Nidhi Gupta, The National Research Centre for the Working Environment

Charlotte Lund Rasmussen, National Research Centre for the Working Environment


 

12:30-13:30

Lunch Break


13:30-15:00

Workshops (Part 2):

Assessing physical activity using motion sensors for beginners– data collection, data handling and basic data reporting

Örjan Ekblom, The Swedish School of Sport and Health Sciences


Compositional Data Analysis - when and how

Nidhi Gupta, The National Research Centre for the Working Environment

Charlotte Lund Rasmussen, National Research Centre for the Working Environment


15:00-15:30

Afternoon Coffee Break


15:30-17:30

Oral Sessions

More information coming soon…

17:45-18:30

Social run, Town walk


19:00-22:00

Reception with buffet

09:00 – 10:00

Keynote - Paul Jarle Mork, Norwegian University of Science and Technology: A general population perspective on physical behaviour and sleep: The Norwegian HUNT study

More information coming soon…

10:00 – 10:30

Morning Coffee Break


10:30-12:00

Poster Session

More information coming soon…

12:00-13:00

Lunch Break


13:00-14:45

Workshop:

Physical behavior profiles determined on basis of repeated measurements within individuals

David Hallman, Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, Faculty of Health and Occupational Studies, University of Gävle

15:00-16:00

Closing Remarks

What’s new, what’s next? What have we learned and where are we going?

Svend Erik Mathiesen, Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, Faculty of Health and Occupational Studies, University of Gävle