ArticleJMIR mHealth and uHealth2019
The Use of Wearable Activity Trackers Among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
103 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Perceptions of Adults Aged 50 Years and Older Regarding the Use of Wearable mHealth Technologies to Promote Physical Activity: Systematic Review and Meta-Ethnography.JMIR mHealth and uHealth · 2026Pooled it
- Effects of digital multimodal interventions on objectively measured physical activity in older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Patient and Carer-Related Facilitators and Barriers to the Adoption of Assistive Technologies for the Care of Older Adults: Systematic Review.JMIR aging · 2025Pooled it
- Enhancing Enrollment and Adherence in Long-Term Wearable Research on Dementia: Qualitative Systematic Review and Meta-Synthesis.JMIR aging · 2025Pooled it
- A scoping review of the feasibility, usability, and efficacy of digital interventions in older adults concerning physical activity and/or exercise.Frontiers in aging · 2025Pooled it
- Older Adults' Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis.JMIR mHealth and uHealth · 2021Pooled it
- Effectiveness of the Support From Community Health Workers and Health Care Professionals on the Sustained Use of Wearable Monitoring Devices Among Community-Dwelling Older Adults: Feasibility Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- The Effect of a Consumer-Based Activity Tracker Intervention on Accelerometer-Measured Sedentary Time Among Retirees: A Randomized Controlled REACT Trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Trial
- The Combined Effects of Sports Smart Bracelet and Multi-Component Exercise Program on Exercise Motivation among the Elderly in Macau.Medicina (Kaunas, Lithuania) · 2021Trial
- Hawthorne Effect in Screening Ambulatory Activity Status Using Wearable Pedometers Varies Across Age Groups.AJPM focus · 2026Article
- Community-Dwelling Older Adults' Experience With Activity Trackers: Effects of Monitoring Physical Activity.Journal of gerontological nursing · 2026Article
- The LURN Urinary Urgency and Lifestyle Wearable Tracker (ULTra) study: Design and feasibility.Continence (Amsterdam, Netherlands) · 2026Article
- Perceptions of care home residents, families and staff about wearable devices: a scoping review.European geriatric medicine · 2026Article
- Article
- Preferences and user experience of wearable devices in cardiac rehabilitation: a systematic review and mixed-methods synthesis protocol.Systematic reviews · 2026Article
- Night Watch: A Survey of Older Adult Sleep-Tracking.Behavioral sciences (Basel, Switzerland) · 2026Article
- Article
- Digital Phenotyping via Passive Network Traffic Monitoring: Prospective Observational Study in University Students.JMIR formative research · 2026Observational
- Social factors, wearable activity tracker use frequency, and physical activity patterns among U.S. older adults: findings from a national cross-sectional survey.BMC geriatrics · 2026Article
- Patient-Perceived Factors Influencing Physical Activity Sensor Use in Stroke Prevention and Rehabilitation: Systematic Review of Qualitative Studies Using Thematic Synthesis.JMIR rehabilitation and assistive technologies · 2026Review
43 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWearable activity trackers offer the opportunity to increase physical activity through continuous monitoring. Viewing tracker use as a beneficial health behavior, we explored the factors that facilitate and hinder long-term activity tracker use, applying the transtheoretical model of behavior change with the focus on the maintenance stage and relapse.
objectiveThe aim of this study was to investigate older adults' perceptions and uses of activity trackers at different points of use: from nonuse and short-term use to long-term use and abandoned use to determine the factors to maintain tracker use and prevent users from discontinuing tracker usage.
methodsData for the research come from 10 focus groups. Of them, 4 focus groups included participants who had never used activity trackers (n=17). These focus groups included an activity tracker trial. The other 6 focus groups (without the activity tracker trial) were conducted with short-term (n=9), long-term (n=11), and former tracker users (n=11; 2 focus groups per user type).
resultsThe results revealed that older adults in different tracker use stages liked and wished for different tracker features, with long-term users (users in the maintenance stage) being the most diverse and sophisticated users of the technology. Long-term users had developed a habit of tracker use whereas other participants made an effort to employ various encouragement strategies to ensure behavior maintenance. Social support through collaboration was the primary motivator for long-term users to maintain activity tracker use. Short-term and former users focused on competition, and nonusers engaged in vicarious tracker use experiences. Former users, or those who relapsed by abandoning their trackers, indicated that activity tracker use was fueled by curiosity in quantifying daily physical activity rather than the desire to increase physical activity. Long-term users saw a greater range of pros in activity tracker use whereas others focused on the cons of this behavior.
conclusionsThe results suggest that activity trackers may be an effective technology to encourage physical activity among older adults, especially those who have never tried it. However, initial positive response to tracker use does not guarantee tracker use maintenance. Maintenance depends on recognizing the long-term benefits of tracker use, social support, and internal motivation. Nonadoption and relapse may occur because of technology's limitations and gaining awareness of one's physical activity without changing the physical activity level itself.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.