Utility of Consumer Physical Activity Trackers as an Intervention Tool in Cardiovascular Disease Prevention and Treatment
Abstract
Consumer activity trackers have grown in popularity over the last few years. These devices are typically worn on the hip or wrist and provide the user with information about physical activity measures such as steps taken, energy expenditure, and time spent in moderate to vigorous physical activity. The consumer may also use the computer interface (e.g. device websites, smartphone applications) to monitor and track achievement of PA goals and compete with other users. This review will describe some of the most popular consumer devices and discuss the user feedback tools. We will also present the limited evidence available about the accuracy of these devices and highlight how they have been used in cardiovascular disease management. We conclude with some recommendations for future research, focusing on how consumer devices might be used to assess effectiveness of various cardiovascular treatments.
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Noninvasive, consumer-grade wearables are affordable for consumers.
“they are generally unobtrusive, less expensive than gold standard research devices [4], comfortable to wear [5], and affordable for consumers [6].”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [6]
Some factors discussed in other research were not or only briefly mentioned in the included studies, especially technical and legal aspects such as data security, data synching, and export.
“Some factors discussed in other research were not or only briefly mentioned in the included studies [6,29,31], but should also be reflected, especially technical and legal aspects, such as data security [224], data synching, and export.”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [6]
Consumer-grade wearable devices may provide a novel method to generate objective, highly-resolved individual data monitoring physiological parameters such as heart rate, physical activity and sleep duration, and this data may facilitate research on climate change-induced extreme weather events and health outcomes in low-resource contexts.
“Consumer-grade wearable devices may provide a novel method to generate objective, highly-resolved individual data monitoring physiological parameters, such as hr, physical activity and sleep duration. This data may facilitate further research to consider aspects of climate change-induced extreme weather events on health outcomes in populations in low-resource contexts [36–38].”
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- Authors
- Hickey, A. M., & Freedson, P. S.
- Affiliations
- University of Massachusetts Amherst (US)
- Corresponding author
- Freedson, Patty S.
- Venue
- Progress in Cardiovascular Diseases
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 58
- Issue
- 6
- Pages
- 613-619
- ISSN
- 0033-0620 (ISSN-L)
- OpenAlex
- W2292246146
- Cited by
- 77
- References
- 42
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 11 · 2020: 13 · 2019: 12 · 2018: 10 · 2017: 10 · 2016: 2
- FWCI
- 1.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Progress in Cardiovascular Diseases (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › 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
- wearable devices, cardiovascular disease prevention, cardiovascular care, physical activity monitoring, device accuracy, mobile application, step counting, energy expenditure, moderate-to-vigorous physical activity, treatment efficacy assessment
- MeSH terms
- Fitness Trackers, Cardiovascular Diseases, Consumer Behavior, Humans, Health Knowledge, Attitudes, Practice, Motor Activity, Patient Acceptance of Health Care, Preventive Health Services, Risk Factors, Self Care, Exercise, Treatment Outcome, Patient Satisfaction, Telemedicine, Risk Assessment, Risk Reduction Behavior, Actigraphy, Sedentary Behavior, Mobile Applications
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