André Henriksen
Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
Gunnar Hartvigsen
Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway / Norwegian Centre for E-health Research, University Hospital of North Norway (UNN), Tromsø, Norway
Laila Arnesdatter Hopstock
Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway / Department of Health and Care Sciences, UiT The Arctic University of Norway, Tromsø, Norway
Sameline Grimsgaard
Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
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Published in: Proceedings from The 15th Scandinavian Conference on Health Informatics 2017 Kristiansand, Norway, August 29–30, 2017
Linköping Electronic Conference Proceedings 145:5, p. 28-35
Published: 2018-01-04
ISBN: 978-91-7685-364-1
ISSN: 1650-3686 (print), 1650-3740 (online)
Regularly conducted population cohort studies contribute important new knowledge to medical research. A high participation rate is required in these types of studies in order to claim representativeness and validity of study results. Participation rates are declining worldwide, and re-searchers are challenged to develop new data collection strategies and tools to motivate people to participate.
The last years of advances in sensor and mobile technology, and the widespread use of activity trackers and smart watches, have made it possible to privately collect physical activity data, in a cheap, easy and prolonged way. The unstructured way of collecting this data can have other applications than just showing users their activity trends.
In this paper, we describe our plans for how to use these pervasive sensors as new tools for collecting data on physical activity, in a way that can motivate participants to share more information, for a longer time period and with a renewed motivation to participate in a population study.
Cohort studies, Motor Activity, Fitness Trackers, Heart Rate, Photoplethysmograph
