Objective: To summarize the status and characteristics of the available evidence, research gaps, and future research priorities for preventing falls in stroke patients through balance training.
Methods: We used a scoping review framework. A systematic search of PUBMED, Embase, and Cochrane databases for main articles was conducted. Our study only included articles that on balance training and fall-related indicators in stroke patients. Two researchers independently screened the literature according to the inclusion and exclusion criteria. The data of demographic, clinical characteristics, intervention, sample, and outcome indicators were extracted. The characteristics and limitations of the included literature were comprehensively analyzed.
Results: Of the 1,058 studies, 31 were included. The methods of balance training include regular balance training, Tai Chi, Yoga, task balance training, visual balance training, multisensory training, aquatic balance training, perturbation-based balance training, cognitive balance training, system-based balance training, and robot-assisted balance training. The commonly used outcome measures include clinical balance test, such as Berg balance scale (BBS), Timed Up-and-Go Test (TUG), Fall Risk Index assessment (FRI), Fall Efficacy Scale score (FES), and instrumented balance tests.
Conclusion: This scoping review summarizes the existing primary research on preventing falls in stroke patients by balance training. Based on the summary of the existing evidence, the characteristics of balance training and their relation to falls in stroke patients were found. The future researches should explore how to develop personalized training program, the sound combination of various balance training, to more effectively prevent falls.
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http://dx.doi.org/10.3389/fneur.2024.1167954 | DOI Listing |
J Prof Nurs
March 2025
Maryville University, 650 Maryville University Dr, Town and Country, MO 63141, United States of America.
Background: Current nursing instructional methods inadequately prepare students for complex healthcare settings, exacerbating challenges in new graduate competency and transition to practice. The introduction of standardized competencies marks a substantial shift in nursing education, posing a considerable challenge for faculty implementing these changes.
Purpose: This study examined the experiences of faculty implementing a competency-based education program utilizing The Essentials: Core Competencies for Professional Nursing Education (2021) in undergraduate Bachelor of Science in Nursing (BSN) education programs.
Complement Ther Med
March 2025
Dr. Burhan Nalbantoğlu State Hospital, Neurology Department, Nicosia, Northern Cyprus TR-10 Mersin, Turkey. Electronic address:
Objectives: To examine the effect of integrated motor learning clinical pilates protocol we developed for patients with Parkinson's Disease (pwPD) on providing enduring motor skills in walking, balance, reaction time, cadence, and functional mobility at 3-months follow-up.
Design: A parallel-group, randomized controlled trial (RCT).
Setting: XXX Medical Center, XXX, and XXX Physiotherapy and Rehabilitation Center, Nicosia.
Arch Gerontol Geriatr
March 2025
School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China. Electronic address:
Background: Insulin resistance (IR) is strongly related to non-alcoholic fatty liver disease (NAFLD). Triglyceride-glucose (TyG) index serves as a novel substitute indicator for IR. However, research on the effect of TyG index on NAFLD remains sparse.
View Article and Find Full Text PDFRedox Biol
March 2025
Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom; Danish Centre for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, DK-9220, Denmark; Medical University of Bialystok, Bialystok, Poland. Electronic address:
Objectives: To evaluate the roles of oxidative balance score (OBS) in staging and mortality risk of cardiovascular-kidney-metabolic syndrome (CKM).
Methods: Data of this study were from the National Health and Nutrition Examination Survey 1999-2018. We performed cross-sectional analyses using multinomial logistic regression to investigate the relationship between OBS and CKM staging.
Neural Netw
March 2025
School of Computer Technology and Engineering, Changchun Institute of Technology, Changchun, China; College of Artificial Intelligence Technology, Changchun Institute of Technology, Changchun, China. Electronic address:
Distributed machine learning in mobile adhoc networks faces significant challenges due to the limited computational resources of devices, non-IID data distribution, and dynamic network topology. Existing approaches often rely on centralized coordination and stable network conditions, which may not be feasible in practice. To address these issues, we propose an adaptive distributed multi-task learning framework called ADAMT for efficient image recognition in resource-constrained mobile ad hoc networks.
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