A4 Article in conference proceedings
Survival of the Fittest? Examining Lapsing Behaviour in the Context of Elderly People and the Use of Physical Activity Tracker Applications (2022)

Makkonen, M., Kari, T., & Frank, L. (2022). Survival of the Fittest? Examining Lapsing Behaviour in the Context of Elderly People and the Use of Physical Activity Tracker Applications. In Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS 2022) (pp. 1448-1457). University of Hawai'i at Manoa. Proceedings of the Annual Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2022.180

JYU authors or editors

Publication details

All authors or editors: Makkonen, Markus; Kari, Tuomas; Frank, Lauri

Parent publication: Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS 2022)

Conference:

Place and date of conference: Maui, HI, USA, 3.-7.1.2022

eISBN: 978-0-9981331-5-7

Journal or series: Proceedings of the Annual Hawaii International Conference on System Sciences

ISSN: 1530-1605

eISSN: 2572-6862

Publication year: 2022

Pages range: 1448-1457

Publisher: University of Hawai'i at Manoa

Publication country: United States

Publication language: English

DOI: https://doi.org/10.24251/HICSS.2022.180

Persistent website address: http://hdl.handle.net/10125/79512

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/79383

Abstract

Physical activity (PA) tracker applications have been proposed as one potential solution to the increasingly prevalent physical inactivity problem among elderly people, but their long-term potential is limited by the frequent lapses in their use. In this study, our objective is to promote the understanding of the lapsing behaviour of PA tracker applications among elderly people. More specifically, we are interested in how gender, age, and household type as well as initial PA level and technology readiness (TR) affect the risk of lapsing. As the data for the study, we use actual PA tracker application usage data as well as survey data, which were both collected in our ongoing research program and are analysed by using survival analysis. We find lapsing behaviour to be affected mainly by initial PA level as well as to some degree by TR and gender but not by age and household type.

Keywords: older people; ageing; elderly; physical activeness; activity (properties); moving; physical training; physical fitness; tracking; measuring instruments (indicators); measuring instruments (devices); technology; applications (computer programmes); attitudes; health promotion; health effects

Free keywords: terveysteknologia

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2022

Preliminary JUFO rating: 1