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Mobile Apps and Wearable Devices for Cardiovascular Health: Narrative Review

Mobile Apps and Wearable Devices for Cardiovascular Health: Narrative Review

These devices track various health metrics including heart rate, heart rate variability (HRV), blood oxygen levels, sleep patterns, and physical activity using photoplethysmography or electrocardiogram (ECG) technology to detect atrial fibrillation (AFib) [10,11]. For example, a study by Guo et al [12] involving over 187,000 users identified 265,139 potential AFib cases among 424 users using the smartwatch.

Gauri Kumari Chauhan, Patrick Vavken, Christine Jacob

JMIR Mhealth Uhealth 2025;13:e65782

Multilevel Factors and Indicators of Atypical Neurodevelopment During Early Infancy in Japan: Prospective, Longitudinal, Observational Study

Multilevel Factors and Indicators of Atypical Neurodevelopment During Early Infancy in Japan: Prospective, Longitudinal, Observational Study

Correlation analysis revealed that relatively strong correlations between factors within the same period were observed between similar factors such as maternal physical and mental status, sleep difficulties in children, and inflammatory cytokines. However, correlations between factors with different observation periods were more limited than correlations within the same period. Our analytical method does not pursue a causal relationship.

Daigo Kato, Akiko Okuno, Tetsuo Ishikawa, Shoji Itakura, Shinji Oguchi, Yoshiyuki Kasahara, Kenji Kanenishi, Yuzo Kitadai, Yoshitaka Kimura, Naoki Shimojo, Kazushige Nakahara, Akiko Hanai, Hiromichi Hamada, Haruta Mogami, Seiichi Morokuma, Kazuhiro Sakurada, Yukuo Konishi, Eiryo Kawakami

JMIR Pediatr Parent 2025;8:e58337

Effect of Home-Based Virtual Reality Training on Upper Extremity Recovery in Patients With Stroke: Systematic Review

Effect of Home-Based Virtual Reality Training on Upper Extremity Recovery in Patients With Stroke: Systematic Review

Traditional rehabilitation approaches, such as physical therapy and occupational therapy, have been the mainstay of treatment for poststroke upper extremity recovery. However, these methods often face limitations, including the availability of trained therapists, high costs, and the lack of engaging and motivating exercises for patients [3]. These challenges become even more pronounced in home-based settings, where supervision and resources are often more limited [4].

Jiaqi Huang, Yixi Wei, Ping Zhou, Xiaokuo He, Hai Li, Xijun Wei

J Med Internet Res 2025;27:e69003

Modernizing the Staging of Parkinson Disease Using Digital Health Technology

Modernizing the Staging of Parkinson Disease Using Digital Health Technology

Cross-referenced list of device sensors and capabilities that allow for feature collection relating to each neurocognitive function in addition to important auxiliary information. a HCI: human-computer interaction. b Not applicable. c PPG: photoplethysmography. d EDA: electrodermal activity.

John Michael Templeton, Christian Poellabauer, Sandra Schneider, Morteza Rahimi, Taofeek Braimoh, Fhaheem Tadamarry, Jason Margolesky, Shanna Burke, Zeina Al Masry

J Med Internet Res 2025;27:e63105

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

We added a third empirically derived framework for evaluating “presence” in virtual reality (ie, realness, involvement, and spatial “physical” presence) [54,55]. We synthesized these into 4 constructs: realness (ie, similar to a real-world situation); cognitive authenticity (ie, real mental activities and decisions); variability (ie, case-to-case variation and spontaneous responses); and involvement (ie, user engaged and immersed).

David A Cook, Joshua Overgaard, V Shane Pankratz, Guilherme Del Fiol, Chris A Aakre

J Med Internet Res 2025;27:e68486

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

These measures significantly disrupted daily routines, leading to an approximate 28% decrease in physical activity (PA) levels globally, an increase in sedentary behaviors, and substantial challenges to mental health [2-8]. A systematic review highlighted the beneficial effects of PA on physical and mental health during the first year of the COVID-19 pandemic [9]. The review found that engaging in regular PA helped to mitigate the negative impact of pandemic-induced stress [9].

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

Older Adults’ Perspectives on Participating in a Synchronous Online Exercise Program: Qualitative Study

Older Adults’ Perspectives on Participating in a Synchronous Online Exercise Program: Qualitative Study

Physical activity (PA) guidelines are not met by ≈85% of older adults in Canada [1,2]. The Canadian Society for Exercise Physiology recommends that older adults participate in 150 minutes of moderate-to-vigorous PA and 2 bouts of strengthening exercise each week [3], similar to the World Health Organization guidelines [4].

Giulia Coletta, Kenneth S Noguchi, Kayla Beaudoin, Angelica McQuarrie, Ada Tang, Rebecca Ganann, Stuart M Phillips, Meridith Griffin

JMIR Aging 2025;8:e66473

Wearable Activity Tracker–Based Interventions for Physical Activity, Body Composition, and Physical Function Among Community-Dwelling Older Adults: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Wearable Activity Tracker–Based Interventions for Physical Activity, Body Composition, and Physical Function Among Community-Dwelling Older Adults: Systematic Review and Meta-Analysis of Randomized Controlled Trials

For example, 2 systematic reviews suggested that wearable activity tracker–based interventions had a positive effect on improving physical activity levels among older adults [27,28]. Similarly, another recent systematic review revealed that wearable activity trackers significantly increased daily steps and physical activity among older adults, particularly when combined with other interventions [29].

Ran Li, Yangan Li, Lu Wang, Lijuan Li, Chenying Fu, Danrong Hu, Quan Wei

J Med Internet Res 2025;27:e59507