ArticleJMIR mHealth and uHealth2017
User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04592796 (Observational Study About Sleep Quality and Its Impact on Daily Life of Nursing-home Residents, Through the Use of Wearable Technologies), which is not on this map. Cited by 89 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.
Observational Study About Sleep Quality and Its Impact on Daily Life of Nursing-home Residents, Through the Use of Wearable Technologies
Who cites it
89 citing papers in PubMed, 6 syntheses or guidelines pooled it, 189 citations in OpenAlex.
- 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
- Emerging technologies and vulnerabilities in older adults with cognitive impairments: a systematic review of qualitative evidence.BMC geriatrics · 2026Pooled it
- Effectiveness of exercise based on wearable electronic devices on lower limb strength and balance in older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis.Journal of medical Internet research · 2022Pooled it
- Older Adults' Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis.JMIR mHealth and uHealth · 2021Pooled it
- Clinical Applications of Mobile Health Wearable-Based Sleep Monitoring: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- A Social Group-Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers Among Middle-Aged and Older Adults: Cluster Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- Acceptability and Feasibility of Implementing Accelorometry-Based Activity Monitors and a Linked Web Portal in an Exercise Referral Scheme: Feasibility Randomized Controlled Trial.Journal of medical Internet research · 2019Trial
- Acceptability and utility of, and preference for wearable activity trackers amongst non-metropolitan cancer survivors.PloS one · 2018Trial
- Fall Risk Identification with Innovative Technologies for Aging in Place: A Clinical Needs Assessment Study.Canadian geriatrics journal : CGJ · 2026Article
- Digital tools for cognitive healthcare: Exploring perceptions of an everyday function app among midlife and older adults.Applied psychology. Health and well-being · 2026Article
- Acceptability of Technologies to Support Early Dementia Detection: Qualitative Study With the Boston University Alzheimer's Disease Center Cohort.Journal of medical Internet research · 2026Article
- Emerging Technologies and Vulnerabilities in Older Adults Without Cognitive Impairments: Systematic Review of Qualitative Evidence.Interactive journal of medical research · 2026Review
- IoT-enabled solutions for paediatric diabetes: examining consumer readiness and adoption factors.Frontiers in digital health · 2026Article
- Self-Reported Acceptance of a Wearable Activity Monitor in Persons With Stroke: Usability Study.JMIR cardio · 2025Article
- Predicting Social Frailty in Older Adults Using Fitbit-Derived Circadian and Heart Rate Biomarkers: Cross-Sectional Study.JMIR formative research · 2025Article
- Comparing the Accuracy of Different Wearable Activity Monitors in Patients With Lung Cancer and Providing Initial Recommendations: Protocol for a Pilot Validation Study.JMIR research protocols · 2025Article
- Association between sleep and physical activity data, and depressive symptoms in Thai elderly.PloS one · 2025Article
- Telemedicine-based exercise intervention in cancer survivors: a non-randomized controlled trial.Scientific reports · 2024Article
- Efficacy of a Wearable Activity Tracker With Step-by-Step Goal-Setting on Older Adults' Physical Activity and Sarcopenia Indicators: Clustered Trial.Journal of medical Internet research · 2024Article
29 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
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWearable activity trackers are newly emerging technologies with the anticipation for successfully supporting aging-in-place. Consumer-grade wearable activity trackers are increasingly ubiquitous in the market, but the attitudes toward, as well as acceptance and voluntary use of, these trackers in older population are poorly understood.
objectiveThe aim of this study was to assess acceptance and usage of wearable activity trackers in Canadian community-dwelling older adults, using the potentially influential factors as identified in literature and technology acceptance model.
methodsA mixed methods design was used. A total of 20 older adults aged 55 years and older were recruited from Southwestern Ontario. Participants used 2 different wearable activity trackers (Xiaomi Mi Band and Microsoft Band) separately for each segment in the crossover design study for 21 days (ie, 42 days total). A questionnaire was developed to capture acceptance and experience at the end of each segment, representing 2 different devices. Semistructured interviews were conducted with 4 participants, and a content analysis was performed.
resultsParticipants ranged in age from 55 years to 84 years (mean age: 64 years). The Mi Band gained higher levels of acceptance (16/20, 80%) compared with the Microsoft Band (10/20, 50%). The equipment characteristics dimension scored significantly higher for the Mi Band (P<.05). The amount a participant was willing to pay for the device was highly associated with technology acceptance (P<.05). Multivariate logistic regression with 3 covariates resulted in an area under the curve of 0.79. Content analysis resulted in the formation of the following main themes: (1) smartphones as facilitators of wearable activity trackers; (2) privacy is less of a concern for wearable activity trackers, (3) value proposition: self-awareness and motivation; (4) subjective norm, social support, and sense of independence; and (5) equipment characteristics matter: display, battery, comfort, and aesthetics.
conclusionsOlder adults were mostly accepting of wearable activity trackers, and they had a clear understanding of its value for their lives. Wearable activity trackers were uniquely considered more personal than other types of technologies, thereby the equipment characteristics including comfort, aesthetics, and price had a significant impact on the acceptance. Results indicated that privacy was less of concern for older adults, but it may have stemmed from a lack of understanding of the privacy risks and implications. These findings add to emerging research that investigates acceptance and factors that may influence acceptance of wearable activity trackers among older adults.
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Registered trials
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.