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Using Personalized Intervention Criteria in a Mobile Just-in-Time Adaptive Intervention for Increasing Physical Activity in University Students: Pilot Study

Using Personalized Intervention Criteria in a Mobile Just-in-Time Adaptive Intervention for Increasing Physical Activity in University Students: Pilot Study

Physical activity was measured using a wrist-worn wearable activity monitor (Fitbit Inspire 2). The active monitor estimates sedentary time (minutes), lightly active time (minutes), fairly active time (minutes), very active time (minutes), calories (kcal), steps (n), and distance moved (m). Steps are calculated by the 3-axis accelerometer, while distance moved is automatically calculated based on the number of steps and the participant’s stride length.

Mai Ikegaya, Jerome Clifford Foo, Taiga Murata, Kenta Oshima, Jinhyuk Kim

JMIR Hum Factors 2025;12:e66750

Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review

Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review

Eligible studies involved participants diagnosed with UD, BD, or HC and used portable or wearable digital devices such as smartphone apps, wearable sensors, or audio or visual recordings. The studies were required to either compare digital phenotyping results with diagnostic outcomes from professional medical evaluations, compare UD with BD, or perform a classification task involving UD, BD, and HC.

Rongrong Zhong, XiaoHui Wu, Jun Chen, Yiru Fang

J Med Internet Res 2025;27:e72229

Identifying Optimal Wearable Devices for Monitoring Mobility in Hospitalized Older Adults: Feasibility, Acceptability, and Validity Study

Identifying Optimal Wearable Devices for Monitoring Mobility in Hospitalized Older Adults: Feasibility, Acceptability, and Validity Study

Wearable technology provides a direct means of assessing and monitoring mobility, by gathering continuous information on patients’ physical activities and mobility patterns. This capability would allow practitioners to create and monitor tailored mobility care for each patient, which may improve functional outcomes. Several wearable monitors have been validated in healthy individuals including among older adults living in the community [9,10].

Paulo Nascimento, Renata Kirkwood, Lauren E Griffith, Mylinh Duong, Cody Cooper, Yujiao Hao, Rong Zheng, Samir Raza, Marla Beauchamp

JMIR Aging 2025;8:e64372

Wearable Devices in Remote Cardiac Rehabilitation With and Without Weekly Online Coaching for Patients With Coronary Artery Disease: Randomized Controlled Trial

Wearable Devices in Remote Cardiac Rehabilitation With and Without Weekly Online Coaching for Patients With Coronary Artery Disease: Randomized Controlled Trial

The primary objectives of this pilot study were to evaluate the efficacy of this system in improving exercise capacity and adherence through continuous and interactive communication between health care providers and patients and to clarify the synergistic effects of OLC on the use of wearable devices. We hypothesized that the combination of wearable devices and OLC would result in greater improvements in exercise capacity and adherence than those achieved through the use of wearable devices alone.

Ryota Nishio, Tomotaka Dohi, Miho Yokoyama, Taisuke Nakade, Norihito Takahashi, Yuichi Chikata, Hirohisa Endo, Hiroki Nishiyama, Iwao Okai, Hiroshi Iwata, Shinya Okazaki, Katsumi Miyauchi, Hiroyuki Daida, Tohru Minamino

JMIR Mhealth Uhealth 2025;13:e63797

Health Care 2025: How Consumer-Facing Devices Change Health Management and Delivery

Health Care 2025: How Consumer-Facing Devices Change Health Management and Delivery

After nearly 15 years of commercial availability, consumer-facing wearable devices are owned by one in three Americans and now have medical-grade diagnostic technology [1]. Since the COVID-19 pandemic especially, these devices have exploded in popularity, offering the average consumer basic information about their health and habits.

Simon Trinh, Devin Skoll, Leslie Ann Saxon

J Med Internet Res 2025;27:e60766

Digital, Personalized Clinical Trials Among Older Adults, Lessons Learned From the COVID-19 Pandemic, and Directions for the Future: Aggregated Feasibility Data From Three Trials Among Older Adults

Digital, Personalized Clinical Trials Among Older Adults, Lessons Learned From the COVID-19 Pandemic, and Directions for the Future: Aggregated Feasibility Data From Three Trials Among Older Adults

Wearable devices used in remote health research have been shown to be effective in monitoring older adults with chronic conditions, and patients at risk for cardiovascular events, and in providing accurate assessment, behavior tracking, stress monitoring, diagnosis, disease management, biomarkers, and several other variables [14-16].

Lindsay Arader, Danielle Miller, Alexandra Perrin, Frank Vicari, Ciaran P Friel, Elizabeth A Vrany, Ashley M Goodwin, Mark Butler

J Med Internet Res 2025;27:e54629

Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study

Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study

Similarly to the EPICURE study, Lu et al [7] conducted retrospective analysis on a smaller patient cohort of 23 patients which combined a mixed-methods approach, of retrospective questionnaires and interviews with real time activity sensing using wearable devices. Our results indicate that digital tools can also help to motivate cardiac patients, without exposing patients to additional distress.

Fabian Wiesmüller, David Haag, Mahdi Sareban, Karl Mayr, Norbert Mürzl, Michael Porodko, Christoph Puelacher, Lisa-Marie Moser, Marco Philippi, Heimo Traninger, Stefan Höfer, Josef Niebauer, Günter Schreier, Dieter Hayn

JMIR Mhealth Uhealth 2025;13:e57413

Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study

Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study

The National Institute of Health and Care Excellence has conditionally recommended some wearable devices for remote monitoring of PD. However, the exact role, indication, and type of device is unclear, and evidence on the use of wearable devices is limited [6]. The cost, burden on patients and services, and effectiveness to improve clinical outcomes have not yet been assessed.

Tasmin Alanna Rookes, Amit Batla, Megan Armstrong, Gareth Ambler, Kate Walters, Anette Schrag

JMIR Form Res 2025;9:e63704

Acceptability and Effectiveness of a Fully Web-Based Nutrition and Exercise Program for Individuals With Chronic Disease During COVID-19: Randomized Controlled Trial

Acceptability and Effectiveness of a Fully Web-Based Nutrition and Exercise Program for Individuals With Chronic Disease During COVID-19: Randomized Controlled Trial

The requirement of being an exercise graduate reflected concerns over the safety and complexity of participants having to learn exercise in an entirely web-based environment on top of new tasks (eg, wearable device, learning to use the Heal-Me app, nutrition tracking, and participating in home-based digital physical function assessments) all during the time of COVID-19.

Puneeta Tandon, Kathleen P Ismond, Graeme Purdy, Christofer Cruz, Evelyn Etruw, Kirsten Suderman, Ashley Hyde, Michael Stickland, John C Spence, Dale C Lien, Rahima Bhanji, Carla M Prado, Antonio Miguel-Cruz, Anil A Joy, Maryna Yaskina, Margaret L McNeely

J Med Internet Res 2025;27:e57537

Reliability of Average Daily Steps Measured Through a Consumer Smartwatch in Parkinson Disease Phenotypes, Stages, and Severities: Cross-Sectional Study

Reliability of Average Daily Steps Measured Through a Consumer Smartwatch in Parkinson Disease Phenotypes, Stages, and Severities: Cross-Sectional Study

Wearable devices, including smartwatches, could represent a useful option to estimate daily steps in an unobtrusive, ecological way [15]. Moreover, wearables are widely available on the market, easily used by the general population, and enable unobtrusive continuous long-term data collection [16]. However, since these devices are usually tested in healthy populations, knowledge of the validity and reliability of collected data is generally limited when applied to different groups of patients.

Edoardo Bianchini, Domiziana Rinaldi, Lanfranco De Carolis, Silvia Galli, Marika Alborghetti, Clint Hansen, Antonio Suppa, Marco Salvetti, Francesco Ernesto Pontieri, Nicolas Vuillerme

JMIR Form Res 2025;9:e63153