ArticleMental health and physical activity2016
Wearable Devices and Smartphones for Activity Tracking Among People with Serious Mental Illness.
Article in Mental health and physical activity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 9 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
52 citing papers in PubMed, 9 syntheses or guidelines pooled it, 134 citations in OpenAlex.
- Digital phenotyping for mental health conditions: a systematic review of implementation and application.Frontiers in digital health · 2026Pooled it
- A systematic review of users experiences of using digital interventions within psychosis: a thematic synthesis of qualitative research.Social psychiatry and psychiatric epidemiology · 2025Pooled it
- Barriers and Facilitators of User Engagement With Digital Mental Health Interventions for People With Psychosis or Bipolar Disorder: Systematic Review and Best-Fit Framework Synthesis.JMIR mental health · 2025Pooled it
- Utility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review.JMIR mental health · 2025Pooled it
- Digital health behaviour change interventions in severe mental illness: a systematic review.Psychological medicine · 2023Pooled it
- Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Perspectives of People Who Are Overweight and Obese on Using Wearable Technology for Weight Management: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Experiences of mobile health in promoting physical activity: A qualitative systematic review and meta-ethnography.PloS one · 2018Pooled it
- Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review.Journal of medical Internet research · 2017Pooled it
- Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture.JMIR mHealth and uHealth · 2024Trial
- Smart Wearable Device Users' Behavior Is Essential for Physical Activity Improvement.International journal of behavioral medicine · 2022Trial
- Group Lifestyle Intervention With Mobile Health for Young Adults With Serious Mental Illness: A Randomized Controlled Trial.Psychiatric services (Washington, D.C.) · 2022Trial
- Smart wearable devices as a psychological intervention for healthy lifestyle and quality of life: a randomized controlled trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021Trial
- Determinants of Digital Health Resource Utilization Among Individuals With Self-Reported Bipolar Disorder in Germany-A Cross-Sectional Study Based on the Andersen Model.Bipolar disorders · 2026Article
- Assessing the Use of Wearable Mobile-Monitoring Devices Among Individuals With Serious Mental Illness: Qualitative Acceptability and Feasibility Study.Journal of medical Internet research · 2026Article
- Digital tools for assessing bipolar disorder: A scoping review of the current landscape.Neuroscience applied · 2026Article
- Using Step Trackers Among Older People Receiving Aged Care Services Is Feasible and Acceptable: A Mixed-Methods Study.Healthcare (Basel, Switzerland) · 2025Article
- Challenges and standardisation strategies for sensor-based data collection for digital phenotyping.Communications medicine · 2025Review
- The role of public and patient involvement in designing a web-based, physical activity application for individuals with severe mental illness.Research involvement and engagement · 2025Article
- App- and Wearable-Based Remote Monitoring for Patients With Myasthenia Gravis and Its Specialists: Feasibility and Usability Study.JMIR formative research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
introductionPeople with serious mental illness, including schizophrenia spectrum and mood disorders, are more physically inactive than people from the general population. Emerging wearable devices and smartphone applications afford opportunities for promoting physical activity in this group. This exploratory mixed methods study obtained feedback from participants with serious mental illness to assess the acceptability of using wearable devices and smartphones to support a lifestyle intervention targeting weight loss.
methodsParticipants with serious mental illness and obesity enrolled in a 6-month lifestyle intervention were given Fitbit activity tracking devices and smartphones to use for the study. Participants completed quantitative post-intervention usability and satisfaction surveys, and provided qualitative feedback regarding acceptability of using these devices and recommendations for improvement through in-depth interviews.
resultsEleven participants wore Fitbits for an average of 84.7% (SD=18.1%) of the days enrolled in the study (median=93.8% of the days enrolled, interquartile range=83.6-94.3%). Participants were highly satisfied, stating that the devices encouraged them to be more physically active and were useful for self-monitoring physical activity and reaching daily step goals. Some participants experienced challenges using the companion mobile application on the smartphone, and recommended greater technical support, more detailed training, and group tutorials prior to using the devices. DISCUSSION: Participants' perspectives highlight the feasibility and acceptability of using commercially available mHealth technologies to support health promotion efforts targeting people with serious mental illness. This study offers valuable insights for informing future research to assess the effectiveness of these devices for improving health outcomes in this high-risk group.
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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.