Research project Method development of physical activity measurement
Short description
This is a large research project inkluding several different studies with different collaborators. The aim is to improve measurement of physical activity using accelerometer data.
This is performed by developing the processing of raw accelerometer data to reliable measures of physical activity, as well exploring new statistical methods to investigate associations between patterns of physical activity and cardiometabolic health. The goal is to develop new objective physical activity recommendation considering individual characteristics such as sex, age and fitness-level, i.e. more precise recommendations This research project uses different datasets in order to target the aim and goal from laboratory experiments, field studies with doubly labeled water as reference for physical activity and from various large population cohorts such as SCAPIS, iFAMILY and Bunkeflo. The research project is performed in collaboration researchers at the Swedish School of Sport and Health Sciences (GIH), Uppsala University (UU), Umeå University (UMU) and Lund University (LU), as well as with Elten safety shoes.
Participants
- Associate Professor Daniel Arvidsson
- Professor Mats Börjesson
- Professor Stefan Grau
- Professor Lauren Lissner (and the iFAMILY consortium)
- PhD student Jonatan Fridolfsson
- PhD student Pia Skovdahl
- Professor Örjan Ekblom (GIH)
- Associate Professor Elin Ekblom-Bak (GIH)
- Peter Palm (UU)
- Pasan Hettiarachchi (UU)
- Professor Magnus Svartengren (UU)
- Associate Professor Patrik Wennberg (UMU)
- Frida Bergman (UMU)
- Associate Professor Magnus Dencker (LU)