Users' experiences of wearable activity trackers: a cross-sectional study
Open accessAbstract
BACKGROUND: Wearable activity trackers offer considerable promise for helping users to adopt healthier lifestyles. This study aimed to explore users' experience of activity trackers, including usage patterns, sharing of data to social media, perceived behaviour change (physical activity, diet and sleep), and technical issues/barriers to use. METHODS: A cross-sectional online survey was developed and administered to Australian adults who were current or former activity tracker users. Results were analysed descriptively, with differences between current and former users and wearable brands explored using independent samples t-tests, Mann-Whitney, and chi square tests. RESULTS: Participants included 200 current and 37 former activity tracker users (total N = 237) with a mean age of 33.1 years (SD 12.4, range 18-74 years). Fitbit (67.5%) and Garmin devices (16.5%) were most commonly reported. Participants typically used their trackers for sustained periods (5-7 months) and most intended to continue usage. Participants reported they had improved their physical activity (51-81%) more commonly than they had their diet (14-40%) or sleep (11-24%), and slightly more participants reported to value the real time feedback (89%) compared to the long-term monitoring (78%). Most users (70%) reported they had experienced functionality issues with their devices, most commonly related to battery life and technical difficulties. CONCLUSIONS: Results suggest users find activity trackers appealing and useful tools for increasing perceived physical activity levels over a sustained period.
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Wearable activity trackers are affordable, visually appealing, user-friendly, and encourage lifestyle physical activity, reducing barriers associated with more structured physical activity.
“Wearable activity trackers offer an appealing, low-cost tool to address physical inactivity.”
From Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses. (2022) · cites this paper as [4]
The Conclusions describe trackers as appealing tools for intervening on physical activity, and report that most users perceived an increase in their activity. The paper does not describe trackers as low-cost; the Discussion instead says they are far more expensive than conventional pedometers. (LLM, conf=0.88)
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- Authors
- Maher, C., Ryan, J., Ambrosi, C., & Edney, S.
- Affiliations
- University of South Australia (AU)
- Corresponding author
- Maher, Carol
- Venue
- BMC Public Health
- Published
- 2017-11-15
- Volume
- 17
- Issue
- 1
- Pages
- 880-880
- ISSN
- 1471-2458 (ISSN-L)
- PMC
- PMC5688726
- OpenAlex
- W2770689260
- Cited by
- 180
- References
- 14
- Citations by year
- 2026: 7 · 2025: 19 · 2024: 18 · 2023: 24 · 2022: 18 · 2021: 30 · 2020: 28 · 2019: 29 · 2018: 7
- FWCI
- 28.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Australasian Journal of Paramedicine (submittedVersion, cc-by)
- National University of Singapore (submittedVersion)
- UniSA Research Outputs Repository (University of South Australia) (submittedVersion, cc-by)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- University of South Australia
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- wearable activity trackers, user experience, physical activity, diet, sleep, real-time feedback, battery life, Fitbit, Garmin, technology adoption, health behavior change
- MeSH terms
- Fitness Trackers, Wearable Electronic Devices, Adolescent, Adult, Aged, Australia, Cross-Sectional Studies, Diet, Female, Humans, Male, Middle Aged, Surveys and Questionnaires, Sleep, Health Behavior, Exercise, Young Adult, Social Media
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