ArticleJournal of medical Internet research2024
Patterns of Ownership and Usage of Wearable Devices in the United States, 2020-2022: Survey Study.
Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Oura Ring Behavioral Feedback Intervention for Alcohol Reduction in Young Adults: User Experience Evaluation of a Pilot Randomized Trial.Journal of medical Internet research · 2025Trial
- Understanding the interplay of social context and physiology on psychological outcomes in trauma-exposed adolescents: a protocol and baseline data report.European journal of psychotraumatology · 2026Article
- A smart watch crosses the threshold into clinical practice-or not quite yet?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026Article
- Precision transfusion medicine in the omics era.Blood · 2026Review
- DOSE: An open-source, iOS watch-based tool for experience sampling.PLOS digital health · 2026Article
- Demographic and Socioeconomic Factors Associated with Fitbit Ownership in the NIHInternational journal of environmental research and public health · 2026Article
- The All of Us Research Program's wearables dataset.Nature medicine · 2026Article
- Can consumer wearables support outpatient health monitoring for patients with post-acute infection syndromes? A systematic umbrella review of accuracy, validity, and clinical utility data.PLOS digital health · 2026Article
- Wearable Devices and Data Sharing in the US.JAMA network open · 2026Article
- Correlates of Fitness Tracker Ownership and Use in Cancer Survivors: Cross-Sectional Survey.JMIR cancer · 2026Article
- Clinician Perspectives on Integrating Mobile Sensor Data Into Cancer Care: Mixed Methods Study.JMIR cancer · 2026Article
- Effect of Wearable Activity Tracker Social Behaviors on Physical Activity and Exercise Self-Efficacy: Real-World Pilot Study.JMIR formative research · 2026Article
- Sharing Patient-Generated Health Data: The Role of Healthcare Quality, Mistrust, and Discrimination Across Race-Gender Identities.Journal of racial and ethnic health disparities · 2026Article
- Digital hypertension in 2024-2025: emerging evidence and future directions.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Review
- Association between lifestyle and combined general and abdominal obesity in Korean adults during the pre-pandemic and pandemic periods: using the Korea National Health and Nutrition Examination Survey (2019-2020).BMC public health · 2026Article
- Challenges and potential of using digital biomarkers in healthcare and clinical trials.Communications medicine · 2026Review
- 11 million days of longitudinal wearable data reveal novel future health insights.medRxiv : the preprint server for health sciences · 2026Article
- Objective Biobehavioral Measures Reflect Burnout States and Temporal Changes in a Nursing Population: A Prospective Observational Assessment.Nursing reports (Pavia, Italy) · 2026Article
- HybridSense-LLM: A Structured Multimodal Framework for Large-Language-Model-Based Wellness Prediction from Wearable Sensors with Contextual Self-Reports.Bioengineering (Basel, Switzerland) · 2026Article
- Patient engagement with consumer wearable devices in the electronic health record.Frontiers in digital health · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundAlthough wearable technology has become increasingly common, comprehensive studies examining its ownership across different sociodemographic groups are limited.
objectiveThe aims of this study were to (1) measure wearable device ownership by sociodemographic characteristics in a cohort of US consumers and (2) investigate how these devices are acquired and used for health-related purposes.
methodsData from the Rock Health Digital Health Consumer Adoption Survey collected from 2020 to 2022 with 23,974 US participants were analyzed. The sample was US Census-matched for demographics, including age, race/ethnicity, gender, and income. The relationship between sociodemographic factors and wearable ownership was explored using descriptive analysis and multivariate logistic regression.
resultsOf the 23,974 respondents, 10,679 (44.5%) owned wearables. Ownership was higher among younger individuals, those with higher incomes and education levels, and respondents living in urban areas. Compared to those aged 18-24 years, respondents 65 years and older had significantly lower odds of wearable ownership (odds ratio [OR] 0.18, 95% CI 0.16-0.21). Higher annual income (≥US $200,000; OR 2.27, 95% CI 2.01-2.57) and advanced degrees (OR 2.23, 95% CI 2.01-2.48) were strong predictors of ownership. Living in rural areas reduced ownership odds (OR 0.65, 95% CI 0.60-0.72). There was a notable difference in ownership based on gender and health insurance status. Women had slightly higher ownership odds than men (OR 1.10, 95% CI 1.04-1.17). Private insurance increased ownership odds (OR 1.28, 95% CI 1.17-1.40), whereas being uninsured (OR 0.41, 95% CI 0.36-0.47) or on Medicaid (OR 0.75, 95% CI 0.68-0.82) decreased the odds of ownership. Interestingly, minority groups such as non-Hispanic Black (OR 1.14, 95% CI 1.03-1.25) and Hispanic/Latine (OR 1.20, 95% CI 1.10-1.31) respondents showed slightly higher ownership odds than other racial/ethnic groups.
conclusionsOur findings suggest that despite overall growth in wearable ownership, sociodemographic divides persist. The data indicate a need for equitable access strategies as wearables become integral to clinical and public health domains.
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