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Changes in Physical Activity, Heart Rate, and Sleep Measured by Activity Trackers During the COVID-19 Pandemic Across 34 Countries: Retrospective Analysis

Changes in Physical Activity, Heart Rate, and Sleep Measured by Activity Trackers During the COVID-19 Pandemic Across 34 Countries: Retrospective Analysis

In addition, inactive individuals were reported to have lower well-being scores and higher levels of depression and anxiety than moderately active and active individuals. A large-scale meta-analysis of data for 1,853,610 adults revealed that the rates of severe COVID-19 were 34% lower, the risk of hospitalization was 36% lower, and COVID-related mortality was 43% lower in participants regularly engaging in PA than in their inactive peers [10].

Bastien Wyatt, Nicolas Forstmann, Nolwenn Badier, Anne-Sophie Hamy, Quentin De Larochelambert, Juliana Antero, Arthur Danino, Vincent Vercamer, Paul De Villele, Benjamin Vittrant, Thomas Lanz, Fabien Reyal, Jean-François Toussaint, Lidia Delrieu

J Med Internet Res 2025;27:e68199

Considering Theory-Based Gamification in the Co-Design and Development of a Virtual Reality Cognitive Remediation Intervention for Depression (bWell-D): Mixed Methods Study

Considering Theory-Based Gamification in the Co-Design and Development of a Virtual Reality Cognitive Remediation Intervention for Depression (bWell-D): Mixed Methods Study

Briefly, participants comprising individuals with lived experience of depression (n=15) and clinicians (n=12) were interviewed, and the results were transcribed and coded followed by thematic analysis. The demographic and clinical characteristics of these end users are described in our previous paper.

Mark Hewko, Vincent Gagnon Shaigetz, Michael S Smith, Elicia Kohlenberg, Pooria Ahmadi, Maria Elena Hernandez Hernandez, Catherine Proulx, Anne Cabral, Melanie Segado, Trisha Chakrabarty, Nusrat Choudhury

JMIR Serious Games 2025;13:e59514

User Experience With a Personalized mHealth Service for Physical Activity Promotion in University Students: Mixed Methods Study

User Experience With a Personalized mHealth Service for Physical Activity Promotion in University Students: Mixed Methods Study

Flyers were posted in high-traffic areas on the university campuses, such as the cafeteria and the library. Additionally, first-year students from the Faculty of Social Work and Health were personally approached at a welcome event for new students. Due to low participation, students were also approached at a campus café. The latter method of reaching out to students proved to be the most effective.

Silke Wittmar, Tom Frankenstein, Vincent Timm, Peter Frei, Nicolas Kurpiers, Stefan Wölwer, Axel Georg Meender Schäfer

JMIR Form Res 2025;9:e64384

Health Care Professionals’ Perspectives on Using eHealth Tools in Advanced Home Care: Qualitative Interview Study

Health Care Professionals’ Perspectives on Using eHealth Tools in Advanced Home Care: Qualitative Interview Study

The 2 tools chosen for the evaluation were a mobile documentation tool and a mobile preconsultation form. The tools were chosen for their complementary nature and potential to capture a wide range of HCP-patient interactions. While the mobile documentation tool was used by the HCP, or collaboratively by HCP and patients, during in-person visits, the mobile preconsultation form was completed independently by patients at home.

Eric Vincent Rivas, Ulf Lesley, Nadia Davoody

JMIR Hum Factors 2025;12:e60582

An Integrated Platform Combining Immersive Virtual Reality and Physiological Sensors for Systematic and Individualized Assessment of Stress Response (bWell): Design and Implementation Study

An Integrated Platform Combining Immersive Virtual Reality and Physiological Sensors for Systematic and Individualized Assessment of Stress Response (bWell): Design and Implementation Study

Using these extracted values, several widgets (Figure 2) were implemented in the 2 existing layers of the b Well user interface (UI): test administrator UI and participant UI. The first widget was part of the Emteq Labs plugin package and was used to display EMG amplitude (Figure 2 A). The same widget also provided the administrator with an indication of sensor contact. Good contacts were represented by green dots on the widget, while bad contacts were represented by gray dots.

Budhachandra Khundrakpam, Melanie Segado, Jesse Pazdera, Vincent Gagnon Shaigetz, Joshua A Granek, Nusrat Choudhury

JMIR Form Res 2025;9:e64492

The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study

The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study

The leaf examples were presented in 2 formats: images and feature charts. Results revealed that providing visual explanations enhanced trust and confidence in participants’ decision-making. Interestingly, the feature charts were designed with intentional omissions of detailed explanations of features to prevent information overload.

Jin Yong Kim, Vincent D Marshall, Brigid Rowell, Qiyuan Chen, Yifan Zheng, John D Lee, Raed Al Kontar, Corey Lester, Xi Jessie Yang

JMIR Hum Factors 2025;12:e60273

Mesenchymal Stem Cell Therapy for Acute Myocardial Infarction: Protocol for a Systematic Review and Meta-Analysis

Mesenchymal Stem Cell Therapy for Acute Myocardial Infarction: Protocol for a Systematic Review and Meta-Analysis

English-only original articles published before June 15, 2023, were included; case reports, abstract-only articles, systematic reviews, meta-analyses, animal studies, commentaries, position papers, opinions, and editorials were excluded from the meta-analysis. Studies enrolling adult patients aged 18 years and older with acute MI who received MSC therapy within 1 month of MI were included.

Michael Vincent DiCaro, Brianna Yee, KaChon Lei, Kavita Batra, Buddhadeb Dawn

JMIR Res Protoc 2025;14:e60591

The Evolution of Uroflowmetry and Bladder Diary and the Emerging Trend of Using Home Devices From Hospital to Home

The Evolution of Uroflowmetry and Bladder Diary and the Emerging Trend of Using Home Devices From Hospital to Home

Strong correlations were observed between this system and conventional uroflowmetry for parameters such as Qmax, voided volume, voiding time, and time to Qmax. Additionally, an AI model was used to analyze and predict 6 predefined patterns of uroflow curves, aiding in diagnosing voiding dysfunction with an accuracy of approximately 98%. This relatively low-cost system is suitable for automatic home urinary monitoring and enables repeated uroflow monitoring of patients outside health care institutions.

Ming-wei Li, Yao-Chou Tsai, Stephen Shei-Dei Yang, Yuan-Hung Pong, Yu-Ting Tsai, Vincent Fang-Sheng Tsai

Interact J Med Res 2025;14:e66694