Pontin, F orcid.org/0000-0002-7143-8718, Lomax, N orcid.org/0000-0001-9504-7570, Clarke, G et al. (1 more author) (2021) Socio-demographic Determinants of Physical Activity and App Usage from Smartphone Data. Social Science and Medicine, 284. 114235. ISSN 0277-9536
Abstract
The increasing ubiquity of smartphones provides a potential new data source to capture physical activity behaviours. Though not designed as a research tool, these secondary data have the potential to capture a large population over a more extensive spatial area and with longer temporality than current methods afford. This paper uses one such secondary data source from a commercial app designed to incentivise activity. We explore the new insights these data provide, alongside the sociodemographic profile of those using physical activity apps, to gain insight into both physical activity behaviour and determinants of app usage in order to evaluate the suitability of the app in providing insights into the physical activity of the population. We find app usage to be higher in females, those aged 25–50, and users more likely to live in areas where a higher proportion of the population are of a lower socioeconomic status. We ascertain longer-term patterns of app usage with increasing age and more male users reaching physical activity guideline recommendations despite longer daily activity duration recorded by female users. Additionally, we identify key weekly and seasonal trends in physical activity. This is one of the first studies to utilise a large volume of secondary physical activity app data to co-investigate usage alongside activity behaviour captured.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | Crown Copyright © 2021 Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Smartphone; Physical activity; Socio-demographic; Big data |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Funding Information: | Funder Grant number ESRC (Economic and Social Research Council) ES/N00941X/1 ESRC (Economic and Social Research Council) ES/S007164/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Aug 2021 08:51 |
Last Modified: | 09 Aug 2021 08:51 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.socscimed.2021.114235 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:176784 |