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Investigating Measurement Equivalence of Smartphone Sensor–Based Assessments: Remote, Digital, Bring-Your-Own-Device Study

Investigating Measurement Equivalence of Smartphone Sensor–Based Assessments: Remote, Digital, Bring-Your-Own-Device Study

The measurement equivalence properties were studied on 6 active tests, including the Information Processing Speed (IPS), Information Processing Speed Digit-Digit (IPS DD), Pinching Test (PT), Static Balance Test (SBT), U-Turn Test (UTT) and 2-Minute Walk Test (2 MWT; Table 1). These active tests could be performed up to once daily (PT, SB, UTT, and 2 MWT) or up to once weekly (IPS and IPS DD). Active tests included in the analysis.

Lito Kriara, Frank Dondelinger, Luca Capezzuto, Corrado Bernasconi, Florian Lipsmeier, Adriano Galati, Michael Lindemann

J Med Internet Res 2025;27:e63090

Building Strong Foundations: Nonrandomized Interventional Study of a Novel, Digitally Delivered Fall Prevention Program for Older Adults

Building Strong Foundations: Nonrandomized Interventional Study of a Novel, Digitally Delivered Fall Prevention Program for Older Adults

We used a quasi-experimental design to determine the efficacy of digitally delivered exercise for improving physical function specific to balance, postural control, and muscular strength among older adults at low or moderate risk of falling.

David Wing, Jeanne F Nichols, Hava Shoshana Barkai, Olivia Culbert, Daniel Moreno, Michael Higgins, Anna O'Brien, Mariana Perez, Hope Davey, Ryan Moran

JMIR Aging 2025;8:e68957

Exergame (ExerG)-Based Physical-Cognitive Training for Rehabilitation in Adults With Motor and Balance Impairments: Usability Study

Exergame (ExerG)-Based Physical-Cognitive Training for Rehabilitation in Adults With Motor and Balance Impairments: Usability Study

The Exer G incorporates a range of physical-cognitive training elements, including balance, coordination, and dual-tasking exercises, which are crucial for rehabilitation [14]. The development of the Exer G followed an interdisciplinary, iterative approach, involving collaboration between game designers, rehabilitation experts, and primary end users (PEUs; patients) and secondary end users (SEUs; therapists) [15].

Silvia Herren, Barbara Seebacher, Sarah Mildner, Yanick Riederer, Ulrike Pachmann, Nija Sonja Böckler, Stephan Niedecken, Sabrina Alicia Sgandurra, Leo Bonati, Isabella Hotz, Alexandra Schättin, Roman Jurt, Christian Brenneis, Katharina Lenfert, Frank Behrendt, Stefan Schmidlin, Lennart Nacke, Corina Schuster-Amft, Anna Lisa Martin-Niedecken

JMIR Serious Games 2025;13:e66515

Remote Monitoring of Chemotherapy-Induced Peripheral Neuropathy by the NeuroDetect iOS App: Observational Cohort Study of Patients With Cancer

Remote Monitoring of Chemotherapy-Induced Peripheral Neuropathy by the NeuroDetect iOS App: Observational Cohort Study of Patients With Cancer

Smartphone and wearable sensor-based technology have been increasingly used to advance the detection and monitoring of various diseases [10], for example, smartphone apps can monitor gait and balance changes and provide valuable insights for patients with progressive Parkinson disease [11].

Ciao-Sin Chen, Michael P Dorsch, Sarah Alsomairy, Jennifer J Griggs, Reshma Jagsi, Michael Sabel, Amro Stino, Brian Callaghan, Daniel L Hertz

J Med Internet Res 2025;27:e65615

A 4-Week Mobile App–Based Telerehabilitation Program vs Conventional In-Person Rehabilitation in Older Adults With Sarcopenia: Randomized Controlled Trial

A 4-Week Mobile App–Based Telerehabilitation Program vs Conventional In-Person Rehabilitation in Older Adults With Sarcopenia: Randomized Controlled Trial

Balance was assessed using the Berg Balance Scale (BBS) and the Timed Up-and-Go Test (TUGT). The BBS evaluated 14 tasks, with each task scored from 0 (unable to complete) to 4 (completed independently), and the total score represented the sum of all individual task scores. The TUGT assessed functional mobility and fall risk by timing how long it took a participant to rise from a chair, walk a short distance (3 m), turn, walk back, and sit down again.

Lu Zhang, Ying Ge, Wowa Zhao, Xuan Shu, Lin Kang, Qiumei Wang, Ying Liu

J Med Internet Res 2025;27:e67846

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

The fourth covariate was the response outcome variables themselves: balance and walking. Three categorical variables were considered: control, intervention, and outcome variable (balance/walking). Each of these variables was fitted separately. R software (R Foundation) [54], specifically the “metafor” package [55], was used to fit the models. The analysis of categorical variables (in this case, balance and walking) is a special case of a linear model, which indicates level differences.

Maria Krohn, Aki Rintala, Jaakko Immonen, Tuulikki Sjögren

J Med Internet Res 2024;26:e59136

Feasibility of Measuring Smartphone Accelerometry Data During a Weekly Instrumented Timed Up-and-Go Test After Emergency Department Discharge: Prospective Observational Cohort Study

Feasibility of Measuring Smartphone Accelerometry Data During a Weekly Instrumented Timed Up-and-Go Test After Emergency Department Discharge: Prospective Observational Cohort Study

Mobility, which includes gait and balance functions, requires the integration of sensory input, motor planning, and coordination. Gait alterations and balance issues are common in individuals aged 65 years and older [5,6] and both significantly increase the risk of falls [7]. RPM of gait and balance in home settings may identify mobility problems that are not readily apparent in controlled settings [8].

Brian Suffoletto, David Kim, Caitlin Toth, Waverly Mayer, Sean Glaister, Chris Cinkowski, Nick Ashenburg, Michelle Lin, Michael Losak

JMIR Aging 2024;7:e57601