Ciravegna, F. orcid.org/0000-0001-5817-4810, Gao, J., Ireson, N. et al. (3 more authors) (2019) Active 10: Brisk walking to support regular physical activity. In: Proceedings of 13th EAI International Conference on Pervasive Computing Technologies for Healthcare. PervasiveHealth 2019, 20-23 May 2019, Trento, Italy. ACM , pp. 11-20. ISBN 978-1-4503-6126-2
Abstract
We describe a methodology and a technology supporting an intervention carried out by Public Health England (PHE) to encourage physically inactive people (doing less than 30 minutes' physical activity per week) to initiate regular physical activity via 10 minutes of daily brisk walking. The intervention is designed to encourage the inclusion of short bouts of continuous brisk walking in everyday activities such as shopping or commuting. To this extent a behaviour change mobile application, Active 10, was developed and distributed freely for Android and iOS. The app was downloaded over 620,000 times and our server infrastructure has collected nearly a billion data points between March 2017 and January 2019. The paper describes the rationale for Active 10, the application supporting the intervention, the data architecture and the data collection approach. Then we discuss the complexity of developing a health tracking technology with such large number of users, producing a significant volume of data. Finally, we describe a preliminary data analysis, focussing on a cohort of 129,010 users who used the app for over 8 weeks: 73% of these users achieved less than ten minutes of brisk walking per day during the first week; by the end of the 8th week this subset of users showed, on average, a 10-fold increase in brisk walking. The most inactive section of the cohort, the 54% of users who showed virtually no brisk walking activity during week 1, seems to achieve the greatest proportional increase, and by the end of week 8 they appear to meet, on average, 10 minutes of continuous brisk walking per day. The increase is more evident within the 15% of the cohort who kept the app for over six months: on average a 12% increase in average activity was observed in this group with no sign of decline.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Authors. This is an author-produced version of a paper subsequently published in Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Wellbeing and lifestyle support; digital interventions and health behaviour change |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 688082 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 30 Apr 2019 15:18 |
Last Modified: | 19 Jun 2019 09:44 |
Status: | Published |
Publisher: | ACM |
Refereed: | Yes |
Identification Number: | 10.1145/3329189.3329208 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145438 |