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An App-Based Remote Patient Monitoring System With Wrist and In-Ear Wearables in Gastrointestinal Oncology: Prospective Feasibility Pilot Study

An App-Based Remote Patient Monitoring System With Wrist and In-Ear Wearables in Gastrointestinal Oncology: Prospective Feasibility Pilot Study

The vision is that patients will connect personal wearables to a monitoring system and provide low-threshold data for monitoring. This approach is expected to improve adherence and economic outcomes in the future and enable rapid adaptation to technical innovations in wearables. For this purpose, a new RPM system—bw Health App—was created with e PROs and connected commercial wrist and in-ear wearables.

Lara Kohn, Veit Scheble, Philip Storz, Anita Müller, Selcan Behiye Ulas, Fee Schmitt, Christian Thies, Nisar Malek

JMIR Cancer 2025;11:e64184

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A Dual In-Person and Remote Assessment Approach to Developing Digital End Points Relevant to Autism and Co-Occurring Conditions: Protocol for a Multisite Observational Study

A Dual In-Person and Remote Assessment Approach to Developing Digital End Points Relevant to Autism and Co-Occurring Conditions: Protocol for a Multisite Observational Study

Suitably large datasets are readily produced by wearables, as well as through video, audio, and natural language recording, and can now be processed much more efficiently than via traditional approaches such as manual coding. Together, such technology may enable efficient measurement with relatively low burden to participants and high ecological validity.

Isabel Yorke, Charlotte A Boatman, Akash Roy Choudhury, Bethany Oakley, Pauline Conde, Heet Sankesara, Yatharth Ranjan, Zulqarnain Rashid, Judith Dineley, Johnny Downs, Christopher H Chatham, Nicholas Cummins, Amos Folarin, Eva Loth, Jan Buitelaar, Declan Murphy, Richard Dobson, Emily Simonoff

JMIR Res Protoc 2025;14:e71145

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Relationship Between Activity Tracker Metrics and the Physical Activity Index and Their Association With Cardiometabolic Phenotypes, Subclinical Atherosclerosis, and Cardiac Remodeling: Cross-Sectional Study

Relationship Between Activity Tracker Metrics and the Physical Activity Index and Their Association With Cardiometabolic Phenotypes, Subclinical Atherosclerosis, and Cardiac Remodeling: Cross-Sectional Study

Consumer health wearables are being rapidly adopted by the general population. Surveys have shown that up to 60% of the population own and use wearable devices [1-3]. Physical activity information is the most common measurement provided by current wearable devices. In addition, wearable-reported physical activity data have been studied and validated in various settings to ensure accuracy [4,5].

Weiting Huang, Mark Kei Fong Wong, Enver De Wei Loh, Tracy Koh, Alex Weixian Tan, Xiayan Shen, Onur Varli, Siew Ching Kong, Calvin Woon Loong Chin, Swee Yaw Tan, Jonathan Jiunn Liang Yap, Eddie Yin Kwee Ng, Khung Keong Yeo

JMIR Mhealth Uhealth 2025;13:e71213

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Exploring the Value of Continuous Plantar Temperature Monitoring for Diabetic Foot Health Management: Observational, Prospective Cohort Study

Exploring the Value of Continuous Plantar Temperature Monitoring for Diabetic Foot Health Management: Observational, Prospective Cohort Study

Reference 12: Monitoring of dynamic plantar foot temperatures in diabetes with personalised 3D-printed wearables Reference 13: Artificial intelligence, wearables and remote monitoring for heart failure: current andwearablesApps, Mobile, Wearables for Diabetes

Maryam Hajizadeh, Emily Matijevich, Emily Bray, Evan Minty, Brock Liden

JMIR Mhealth Uhealth 2025;13:e73187

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The Moderating Effect of Atypical Events on the Relationship Between Heart Rate and Stress in Medical Residents Working in an Intensive Care Unit: Longitudinal, Observational Daily Diary Study

The Moderating Effect of Atypical Events on the Relationship Between Heart Rate and Stress in Medical Residents Working in an Intensive Care Unit: Longitudinal, Observational Daily Diary Study

The commercialization of wearable computing devices (ie, wearables) has allowed for an affordable and unobtrusive mechanism to procure longitudinal physiological data [9]. Smartphone apps offer a convenient apparatus to conduct ecological momentary assessments (EMAs) that instantly capture snapshots of users’ behaviors and experiences via personal devices [10].

Ruibei Li, Ujjwal Pasupulety, Wellington Chang, Adam C Frank

JMIR Form Res 2025;9:e67822

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Smartphone Apps and Wearables for Health Parameters in Young Adulthood: Cross-Sectional Study

Smartphone Apps and Wearables for Health Parameters in Young Adulthood: Cross-Sectional Study

Table 3 ranks and details the most used mobile apps and wearables by brand and further divides them into specific spheres of interest (ie, PA, diet, and mental health). Ranking by brand of the most used mobile apps and wearables (n=376).

Gaia Leuzzi, Mirko Job, Aldo Scafoglieri, Marco Testa

JMIR Hum Factors 2025;12:e64629

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Design and Evaluation of a Digital Health App (SingaporeWALK) for Active Aging: Pre-Post Intervention Study

Design and Evaluation of a Digital Health App (SingaporeWALK) for Active Aging: Pre-Post Intervention Study

While mobile health (m Health) applications show potential, such as exergaming platforms to enhance physical activity [7] or wearables for mobility monitoring [8], most fail to accommodate the unique requirements of older adult users. Common shortcomings include cognitively demanding interfaces, lack of multilingual support, and fragmented features that neglect the synergistic relationship between physical, nutritional, and psychological health [9].

Huanyu Bao, Sowmiya Meena Siva Subramanian, Sai Ganesh Sarvotham Pai, Navrag B Singh, Kai Zhe Tan, Tan Phat Pham, Feihong Pan, Yin-Leng Theng, Edmund Lee

JMIR Form Res 2025;9:e68937

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Comparison of Sleep Features Across Smartphone Sensors, Actigraphy, and Diaries Among Young Adults: Longitudinal Observational Study

Comparison of Sleep Features Across Smartphone Sensors, Actigraphy, and Diaries Among Young Adults: Longitudinal Observational Study

Specifically, the maximum battery life for most research-grade wearables is up to ~4 weeks, which limits longer-term phenotyping. By comparison, smartphone sensors (ie, mobile accelerometry) are already integrated into participants’ lives and therefore provide a naturalistic, unobtrusive, and scalable way to monitor daily sleep health (ie, onset and duration) in real-time over longer time periods without requiring participants to integrate an extra apparatus, such as a wearable.

Jaclyn S Kirshenbaum, Ryann N Crowley, Melissa D Latham, David Pagliaccio, Randy P Auerbach, Nicholas B Allen

JMIR Form Res 2025;9:e67455

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