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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

It is the average of a participant’s confidence (in percentages) in their ability to walk 4000; 6000; 8000; 10,000; or 12,000 steps daily, as measured via a questionnaire. SR was measured using the Japanese version of the 12-item Physical Activity Self-Regulation Scale (PASR-12) [11]. It is the sum of 12 questions, each rated 1‐5, amounting to a total score range of 12‐60. We analyzed measurements using means and standard deviations.

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

JMIR Form Res 2025;9:e60221

Detecting Freezing of Gait in Parkinson Disease Using Multiple Wearable Sensors Sets During Various Walking Tasks Relative to Medication Conditions (DetectFoG): Protocol for a Prospective Cohort Study

Detecting Freezing of Gait in Parkinson Disease Using Multiple Wearable Sensors Sets During Various Walking Tasks Relative to Medication Conditions (DetectFoG): Protocol for a Prospective Cohort Study

Among the various motor symptoms, freezing of gait (Fo G), defined as a “brief and episodic absence or marked reduction in the forward progression of the feet despite the intention to walk” [4], is one of the most disabling symptoms of PD. In advanced and severe forms of PD, Fo G occurs in 50% to 80% of cases [5]. Fo G is correlated with PD severity and disease duration [6]. It increases the risk of falls [7] and loss of independence and affects patients’ quality of life [8].

Sébastien Cordillet, Sophie Drapier, Frédérique Leh, Audeline Dumont, Florian Bidet, Isabelle Bonan, Karim Jamal

JMIR Res Protoc 2025;14:e58612

Cadence-Based Pedometer App With Financial Incentives to Enhance Moderate-to-Vigorous Physical Activity: Development and Single-Arm Feasibility Study

Cadence-Based Pedometer App With Financial Incentives to Enhance Moderate-to-Vigorous Physical Activity: Development and Single-Arm Feasibility Study

An example illustrating the progress of the challenge is presented in the middle of the figure (in this case, indicating the need to walk 1084 steps within 10 minutes and 22 seconds). Upon successful completion of the challenge, the app announces its accomplishment. The second component allows users to check their current incentives earned during the study (Figure 1 B). We used a loss-framed financial incentive design for this component.

Kosuke Hayashi, Hiromitsu Imai, Ichiro Oikawa, Yugo Ishihara, Hirokazu Wakuda, Iori Miura, Shingo Uenohara, Asuka Kuwae, Megumi Kai, Ken'ichi Furuya, Naoto Uemura

JMIR Form Res 2024;8:e56376

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

The current digital aids for learning to walk with crutches do not provide the comprehensive support that a physiotherapist can offer [7,8]. Some crutches equipped with sensors can monitor proper use, but there are currently no commercially available systems that provide simultaneous guidance and assessment, which puts a strain on the resources of physiotherapists. This study aims to evaluate the efficacy of a custom-designed gait training assistant (GTA) in teaching the proper use of crutches.

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

JMIR Hum Factors 2024;11:e51898

Using In-Shoe Inertial Measurement Unit Sensors to Understand Daily-Life Gait Characteristics in Patients With Distal Radius Fractures During 6 Months of Recovery: Cross-Sectional Study

Using In-Shoe Inertial Measurement Unit Sensors to Understand Daily-Life Gait Characteristics in Patients With Distal Radius Fractures During 6 Months of Recovery: Cross-Sectional Study

The inclusion criteria involved having the ability to walk without any support, no history of lower-extremity injury, and no known neuromuscular disorders or neurophysiological problems that may affect gait. Fragility fractures were defined as those that followed a fall from standing height or less. We excluded patients with DRF due to traffic or industrial accidents or multiorgan injuries.

Akiko Yamamoto, Eriku Yamada, Takuya Ibara, Fumiyuki Nihey, Takuma Inai, Kazuya Tsukamoto, Tomohiko Waki, Toshitaka Yoshii, Yoshiyuki Kobayashi, Kentaro Nakahara, Koji Fujita

JMIR Mhealth Uhealth 2024;12:e55178

Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study

Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study

The hourly walk data of the 5 prior weeks were used to predict the outcome (ie, whether the participant will walk or not during the next 3 hours). The following 6 sets of algorithms were used: logistic regression, radial basis function support vector machine [25], XGBoost [26], multilayered perceptron [27], decision tree, and random forest [28] (Figure 1). We used the implementation of the open-source projects named “scikit-learn” [29], Keras [30], XGBoost [26,31], and “Sci-Keras” [32] for each algorithm.

Junghwan Park, Gregory J Norman, Predrag Klasnja, Daniel E Rivera, Eric Hekler

JMIR Mhealth Uhealth 2023;11:e44296