The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
USE OF CONSUMER WEARABLE DEVICES TO PROMOTE PHYSICAL ACTIVITY: A REVIEW OF HEALTH INTERVENTION STUDIES
Open accessAbstract
BACKGROUND: Although many wearable devices for monitoring and tracking physical activity are available to consumers, relatively few research studies have been conducted to determine their efficacy in promoting health. METHODS: In this article, data on the use of consumer wearable devices in promoting healthy behaviors are summarized based upon bibliographic searches in PubMed and Psychology and Behavioral Sciences Collection with relevant search terms through September 2016. RESULTS: A total of 274 articles were identified in the bibliographic searches. By screening abstracts or full-text articles, six pre/post test trials and seven randomized controlled trials were identified. In initial trials, consumer wearable devices have been shown to increase physical activity and help users lose weight. However, the number of studies completed to date is small and limited by small sample sizes, short study durations, and uncertain generalizability of the findings. CONCLUSIONS: Future studies should utilize randomized controlled trial research designs, larger sample sizes, and longer study periods to better establish the efficacy of wearable devices in promoting physical activity. Additional research is needed to determine the feasibility and effectiveness of wearable devices in promoting physical activity and weight loss in community settings including communities affected by health disparities. Studies focusing on children and adolescents are also needed.
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“However, these strategies are often resource-intensive and time-consuming, factors that limit long-term adherence and usually not feasible in routine clinical care [15].”
From Can consumer wearable activity tracker-based interventions improve physical activity and cardiometabolic health in patients with chronic diseases? A systematic review and meta-analysis of randomised controlled trials (2020) · cites this paper as [15]
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“In addition, conclusions are not based on randomised controlled trials [14, 22] and most of reviews did not (or partly) report a cardiometabolic risk profile [15, 19, 20, 23].”
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“In addition, these types of interventions are often labor and resource intensive [18].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [18]
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“For generating insights with the wearables devices data, we deemed n = 150 as sufficient, as reported in the literature [49].”
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“Thearticle [6] also discusses the application of the wearable devices in the promotion of the physical activities.”
Metadata
- Authors
- Department of Clinical and Digital Health Sciences, C. O. A. H. S., Coughlin, S. S., & Stewart, J.
- Affiliations
- Augusta University (US)
- Corresponding author
- Coughlin, Steven S
- Venue
- Journal of Environment and Health Science
- Publisher
- Ommega Online Publishers
- Published
- 2016
- Volume
- 2
- Issue
- 6
- Pages
- 1-6
- ISSN
- 2378-6841 (ISSN-L)
- PMC
- PMC5395205
- OpenAlex
- W2583266938
- Cited by
- 137
- References
- 36
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 4 · 2023: 20 · 2022: 21 · 2021: 23 · 2020: 25 · 2019: 17 · 2018: 11 · 2017: 3
- FWCI
- 8.32
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- JOURNAL OF ENVIRONMENT AND HEALTH SCIENCE (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion, cc-by)
- Funders
- National Heart, Lung, and Blood Institute (R29HL044904)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- consumer wearable devices, physical activity promotion, physical activity monitoring, weight loss, health interventions, health behavior change, health disparities, children and adolescents
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