The Assessment of Readiness for Mobility Transition (ARMT) questionnaire assesses individuals' emotional and attitudinal readiness related to mobility as they age. This study aimed to examine the reliability and validity of the Japanese version of the ARMT (ARMT-J). The ARMT-J and related variables were administered to 173 patients and staff members undergoing rehabilitation at hospitals in Japan. Construct validity was first examined using confirmatory factor analysis (CFA) to confirm cross-cultural validity. For structural validity, the optimal number of factors was confirmed using a Velicer's minimum average partial test and parallel analysis, followed by exploratory factor analysis (EFA). Finally, a CFA was performed using the most appropriate model. Internal consistency, test-retest reliability, standard error of measurement (SEM), and smallest detectable change (SDC) were assessed for reliability. The CFA fit for the factor structure of the original ARMT was low. Therefore, the EFA was conducted with two to four factors. The optimal factor structure was three factors, with a Cronbach's alpha coefficient and Cohen's weighted kappa coefficient of 0.85 and 0.76, respectively. The intraclass correlation coefficient (ICC) of the test-retest was 0.93, the SEM was 0.72, and the SDC was 2.00. The model fit was good for the ARMT-J, with a three-factor structure.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656332PMC
http://dx.doi.org/10.3390/ijerph192113957DOI Listing

Publication Analysis

Top Keywords

readiness mobility
12
reliability validity
8
validity japanese
8
japanese version
8
assessment readiness
8
mobility transition
8
factor analysis
8
factor structure
8
reliability
4
version assessment
4

Similar Publications

A Fully Printable Strain Sensor Enabling Highly-Sensitive Wireless Near-Field Interrogation.

Adv Sci (Weinh)

January 2025

Mechanical Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia.

Wireless, passive, and flexible strain sensors can transform structural health monitoring across various applications by eliminating the need for wired connections and active power sources. Such sensors offer the dual benefits of operational simplicity and high-function adaptability. Herein, a novel wireless sensor is fabricated using radio frequency (RF) technology for passive, wireless measurement of mechanical strains.

View Article and Find Full Text PDF

Background: Recognizing ACL injuries on the field and in the office can be very challenging in awake and apprehensive patients. Despite high specificity, many published "pivot-shift" techniques have limited acceptance mainly because of unsatisfactory sensitivity. We describe in detail, four specific modifications and provide a critical review of our clinical experiences to empower the new user's readiness to master a novel screening procedure for ACL disruption.

View Article and Find Full Text PDF

For individuals with Duchenne or Becker muscular dystrophy (DMD and BMD, respectively), transitioning to adulthood presents significant challenges. Although considerable attention has been given to facilitating medical transitions due to the complexity of these conditions, less focus has been placed on other aspects of the transition, such as achieving independence. This study assessed the transition needs of people with DMD or BMD, exploring various domains including health, education, employment, living arrangements, transportation, daily activities, and independent personal life.

View Article and Find Full Text PDF

Real-Time Freezing of Gait Prediction and Detection in Parkinson's Disease.

Sensors (Basel)

December 2024

School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

Freezing of gait (FOG) is a walking disturbance that can lead to postural instability, falling, and decreased mobility in people with Parkinson's disease. This research used machine learning to predict and detect FOG episodes from plantar-pressure data and compared the performance of decision tree ensemble classifiers when trained on three different datasets. Dataset 1 ( = 11) was collected in a previous study.

View Article and Find Full Text PDF

Background: Meniscal allograft transplantation (MAT) is indicated in the setting of anterior cruciate ligament (ACL) reconstruction to restore proper arthrokinematics and load distribution for the meniscus-deficient knee. Objective outcomes after ACL reconstruction with concomitant MAT in athletic populations are scarcely reported and highly variable.

Purpose: To compare patient outcomes using an objective functional performance battery, self-reported outcome measures, and return-to-sport rates between individuals undergoing ACL reconstruction with concomitant MAT and a matched group undergoing isolated ACL reconstruction.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!