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Personalized mHealth Intervention (StepAdd) for Increasing Physical Activity in Japanese Patients With Type 2 Diabetes: Secondary Analysis of Social Cognitive Theory Measurements of a Single-Arm Pilot Study

Personalized mHealth Intervention (StepAdd) for Increasing Physical Activity in Japanese Patients With Type 2 Diabetes: Secondary Analysis of Social Cognitive Theory Measurements of a Single-Arm Pilot Study

Analysis of RCTs has proven that increased walking causes clinically significant improvements to glycemic control among patients with diabetes [7,8]. The Step Add pilot results show overall causality—the intervention caused the desired behavior and health improvement. This secondary analysis seeks to use SCT measurements to understand the factors underlying the behavioral change, both to inform future analyses of the Step Add RCT results and to improve the design of future interventions.

Kayo Waki, Syunpei Enomoto, Toshimasa Yamauchi, Masaomi Nangaku, Kazuhiko Ohe

JMIR Form Res 2025;9:e60221

Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data

Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data

Two research objectives were compared for this aim: (1) the evaluation of average daily step count and (2) the evaluation of average heart rate while walking. Heart rate while walking can be an indicator of cardiac health and exercise intensity [24-26]. To obtain heart rate while walking, we used Fitbit’s number of steps taken in a minute and isolated instances where that value was above 80 steps taken in a minute. That indicated a high likelihood for an individual to be on a walk [27].

Loubna Baroudi, Ronald Fredrick Zernicke, Muneesh Tewari, Noelle E Carlozzi, Sung Won Choi, Stephen M Cain

JMIR Mhealth Uhealth 2025;13:e46149

Step Count Accuracy of the Life Plus Connected Watch at Different Localizations and Speeds in Healthy Adults, Patients With Cardiovascular Disease, and Patients With Peripheral Artery Disease: Step Count Validation Study in Laboratory Settings

Step Count Accuracy of the Life Plus Connected Watch at Different Localizations and Speeds in Healthy Adults, Patients With Cardiovascular Disease, and Patients With Peripheral Artery Disease: Step Count Validation Study in Laboratory Settings

Exclusion criteria were volunteers and patients unable to walk independently, patients with PAD at chronic limb–threatening ischemia stage, and patients with walking limitations due to other pathologies. The ability to walk on a treadmill for 3 minutes at different paces was reported by all the patients recruited. None of the patients or healthy adults underwent any surgical procedures in the 3 months preceding the treadmill walking sessions.

Anne-Noëlle Heizmann, Edouard Ollier, Pierre Labeix, Ivan Goujon, Frédéric Roche, Claire Le Hello

JMIR Form Res 2025;9:e58964

The Effectiveness of Therapeutic Exercise Interventions With Virtual Reality on Balance and Walking Among Persons With Chronic Stroke: Systematic Review, Meta-Analysis, and Meta-Regression of Randomized Controlled Trials

The Effectiveness of Therapeutic Exercise Interventions With Virtual Reality on Balance and Walking Among Persons With Chronic Stroke: Systematic Review, Meta-Analysis, and Meta-Regression of Randomized Controlled Trials

Increasing evidence shows that people with chronic stroke have slower walking speeds and reduced walking endurance compared with the healthy older age adult population [7]. Walking activity is lowest among individuals with stroke who experience the greatest balance impairments, highlighting the need to study the often-neglected chronic stroke population separately [8].

Maria Krohn, Aki Rintala, Jaakko Immonen, Tuulikki Sjögren

J Med Internet Res 2024;26:e59136

Effects of a Mobile App to Promote Social Participation on Older Adults: Randomized Controlled Trial

Effects of a Mobile App to Promote Social Participation on Older Adults: Randomized Controlled Trial

It tracks the user’s movements using GPS and displays the walking distance, step counts, walked route, and number of locations visited on a map along with the step counts. This enables self-monitoring of social participation and physical activity. The app uses a specific classification algorithm based on the user’s average step count, number of places visited, and number of days spent outside.

Kenjiro Kawaguchi, Atsushi Nakagomi, Kazushige Ide, Katsunori Kondo

J Med Internet Res 2024;26:e64196

Implementation and Evaluation of a Gait Training Assistant for the Use of Crutches: Usability Study

Implementation and Evaluation of a Gait Training Assistant for the Use of Crutches: Usability Study

Walking on crutches is a clearly structured movement sequence. However, the teaching of this skill requires significant staff resources. The projected increase in the number of elective orthopedic surgeries in the future is exacerbating the already persistent shortage of specialized health care personnel [5], which has been further intensified by the COVID-19 pandemic and the associated restrictions on physical contact [6].

Milan Anton Wolf, Leon Sauerwald, Felix Kosmalla, Florian Daiber, Antonio Krüger, Stefan Landgraeber

JMIR Hum Factors 2024;11:e51898

The Effect of Walking on Depressive and Anxiety Symptoms: Systematic Review and Meta-Analysis

The Effect of Walking on Depressive and Anxiety Symptoms: Systematic Review and Meta-Analysis

More importantly, previous meta-analyses lacked detailed information on other forms of walking that can provide mental health benefits, such as indoor and outdoor walking, individual and group walking, walking facilitated by equipment (eg, pedometers), and nonfacilitated walking.

Zijun Xu, Xiaoxiang Zheng, Hanyue Ding, Dexing Zhang, Peter Man-Hin Cheung, Zuyao Yang, King Wa Tam, Weiju Zhou, Dicken Cheong-Chun Chan, Wenyue Wang, Samuel Yeung-Shan Wong

JMIR Public Health Surveill 2024;10:e48355

Cardiac Health Assessment Using a Wearable Device Before and After Transcatheter Aortic Valve Implantation: Prospective Study

Cardiac Health Assessment Using a Wearable Device Before and After Transcatheter Aortic Valve Implantation: Prospective Study

Not all TAVI patients benefit from improved physical activity, as assessed by a 6-minute walking test (6 MWT) or the Qo L questionnaire [3,4], nor does physical activity change the incidence of aortic stenosis [5]. Nevertheless, improvement in, for example, the baseline 6 MWT distance in TAVI studies can be a marker for better survival [6,7]. However, these tests could be influenced by other factors and comorbidities such as peripheral vascular disease for the 6 MWT or depression for the Qo L questionnaire.

Rob Eerdekens, Jo Zelis, Herman ter Horst, Caia Crooijmans, Marcel van 't Veer, Danielle Keulards, Marcus Kelm, Gareth Archer, Titus Kuehne, Guus Brueren, Inge Wijnbergen, Nils Johnson, Pim Tonino

JMIR Mhealth Uhealth 2024;12:e53964

Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study

Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study

Participants will visit their local physiotherapy practice 4 times, once every 5 weeks, for in-clinic assessments of walking capacity, cognitive functioning, daily functioning, and specific disease symptoms. Data collection during each visit will take approximately 2 hours. During the in-clinic assessments, participants will wear 2 different wearable sensor devices; the Verily Study Watch on 1 wrist and the Modus Step Watch on the ankle.

Debbie de Graaf, Nienke M de Vries, Tessa van de Zande, Janneke J P Schimmel, Sooyoon Shin, Nathan Kowahl, Poulami Barman, Ritu Kapur, William J Marks Jr, Alex van 't Hul, Bastiaan Bloem

JMIR Res Protoc 2024;13:e55452