ObjectiveTo investigate the association of physical activity and balance ability with disability, and to further examine the mediating role of balance ability in the relationship between physical activity and disability. MethodsBased on data from 2021 to 2023 National Health and Nutrition Examination Survey (NHANES) cycle, a multivariable Logistic regression model was constructed to evaluate the independent association of physical activity and balance ability with disability, with covariates adjusted in four steps. An interaction model was further developed to assess the multiplicative interaction between physical activity and balance ability. Mediation analysis was performed using the Baron and Kenny three-step approach to examine the mediating role of balance ability, and the proportion of the mediation effect was calculated. The significance of the mediation effect was assessed using the Delta method, and robustness was verified through the Bootstrap method with a fixed random seed. Multiple sensitivity analyses were conducted to ensure the stability of the results. ResultsA total of 3 902 participants were included, with a prevalence of disability of 17.7%. Multivariable regression analysis showed that, after adjusting for all covariates, both light-intensity physical activity (LIPA) (OR = 0.489, 95%CI 0.380 to 0.629, P < 0.001) and high-intensity physical activity (HIPA) (OR = 0.493, 95%CI 0.371 to 0.656, P < 0.001) were significantly associated with a reduced risk of disability, whereas impaired balance ability was significantly associated with an increased risk (OR = 1.579, 95%CI 1.266 to 1.970, P < 0.001). The interaction effect analysis showed that the interaction between physical activity and balance ability were not significant (P > 0.05), however, the main effect of LIPA remained robust (β = -0.597, SE = 0.221, OR = 0.550, P = 0.007), while impaired balance ability was significantly associated with an increased risk of disability (β = 0.577, SE = 0.231, OR = 1.780, P = 0.012). The mediation analysis further indicated that balance ability played a robust mediating role in the association between LIPA and disability, with a mediation proportion of 21.1%. The indirect effect (a × b) was statistically significant (P < 0.001), and the 95% confidence intervals derived from the bootstrap method did not include zero. ConclusionPhysical activity and balance ability are significantly associated with disability, and balance ability may mediate the relationship between physical activity and disability, highlighting its potential value in disability risk assessment and intervention strategies.

ObjectiveTo identify the multidimensional factors influencing balance dysfunction in middle-aged and older adults, providing evidence-based support for the precise identification of high-risk individuals and the formulation of fall prevention strategies. MethodsDrawing upon the 2015 follow-up data from the China Health and Retirement Longitudinal Study (CHARLS), participants aged ≥ 45 years were selected. Information on demographic characteristics, lifestyle habits, and health status was collected. Balance function was assessed using the full-tandem stance test. Logistic regression models were employed to analyze influencing factors and their correlation with Five Times Sit to Stand Test (FTSST) time. ResultsFemale (OR = 1.958, 95% CI: 1.706 to 2.247), age (OR = 1.035, 95% CI: 1.030 to 1.040), depressive state (OR = 1.151, 95% CI: 1.050 to 1.262), hypertension (OR = 1.115, 95% CI: 1.015 to 1.225), diabetes (OR = 1.587, 95% CI: 1.390 to 1.813), history of stroke (OR = 1.582, 95% CI 1.289 to 1.942), sarcopenia (OR = 1.273, 95% CI 1.080 to 1.500) and impaired activity daily living (OR = 1.306, 95% CI 1.142 to 1.493) were risk factors for balance function, while being able to complete FTSST (OR = 0.411, 95% CI 0.341 to 0.496) and having a high cognitive level (OR = 0.974, 95% CI 0.965 to 0.983) were protective factors for balance function. Among those able to complete the FTSST, longer FTSST completion time increased the risk of balance impairment after adjusting for confounding factors (Q2: OR = 1.287, 95%CI 1.116 to 1.485; Q3: OR = 1.517, 95%CI 1.321 to 1.745; Q4: OR = 1.857, 95%CI 1.615 to 2.137). ConclusionBalance function in middle-aged and older adults is influenced by multiple factors, with FTSST performance showing a significant negative correlation with balance impairment.

ObjectiveTo investigate the effect of lower extremity exoskeleton robots on balance and walking function of patients with post-stroke cerebellar ataxia. MethodsA total of 60 patients with post-stroke cerebellar ataxia in Beijing Bo'ai Hospital from October, 2022 to October, 2024 were selected, and randomly divided into control group (n = 30) and exoskeleton group (n = 30) randomly. Both groups were given conventional exercise training, including trunk control training, rotation axis training and Frenkel training; the exoskeleton group received additional training with lower limb exoskeleton robots, for four weeks. Before and after treatment, the Gait Watch three-dimensional gait analyzer and the Holden Functional Ambulation Classification (HFAC) were used to evaluate the walking spatiotemporal parameters such as walking speed, walking frequency and step length deviation, as well as the walking ability. Berg Balance Scale (BBS) and the International Cooperative Ataxia Rating Scale (ICARS) were used to access the balance and ataxia functions, respectively. ResultsAfter treatment, the walking speed, walking frequency and step length deviation of both groups improved (|t| > 19.676, P < 0.001), the BBS score improved (|t| > 29.032, P < 0.001), and the ICARS scores decreased (t > 33.192, P < 0.001) in both groups, and they were better in the exoskeleton group than in the control group (|t| > 2.284, P < 0.05). There was no significant difference in the improvement rate of HFAC between two groups (P > 0.05). ConclusionLower extremity exoskeleton robots can effectively improve the balance and walking function of patients with post-stroke cerebellar ataxia.

ObjectiveTo explore the effect of elbow-wrist functional orthosis on plantar pressure distribution and balance function in stroke patients with hemiplegia. MethodsFrom June, 2024 to April, 2025, 60 patients with post-stroke hemiplegia were recruited from Huashan Hospital, Fudan University, and Shanghai Hebin Rehabilitation Hospital. They were randomly divided into control group (n = 30) and intervention group (n = 30). The control group received routine neurological rehabilitation, while the intervention group received additional training with an elbow-wrist functional orthosis on the affected side, for eight weeks. Before and after intervention, the Modified Ashworth Scale (MAS) of the elbow joint, plantar pressure symmetry index (SI), plantar contact area and mean plantar pressure were recorded, and balance and mobility were assessed using the Berg Balance Scale (BBS), Timed Up & Go Test (TUGT) and 10-Meter Walk Test (10MWT). ResultsTwo cases dropped out in the control group. After treatment, MAS grades of the elbow joint, forefoot SI, affected side plantar pressure area, BBS scores, TUGT and 10MWT of both groups improved (|Z| > 3.969, |t| > 3.528, P < 0.01), while the hindfoot SI and average pressure of the affected foot improved in the intervention group (∣t∣ > 4.264, P < 0.001). Except for TUGT and 10MWT, the intervention group was superior to the control group (∣Z∣ > 2.030, ∣t∣ > 2.096, P < 0.05). ConclusionThe elbow-wrist functional orthosis can enhance balance function in stroke patients with hemiplegia by reducing upper-limb spasticity, optimizing center-of-gravity distribution, and improving postural control.

ObjectiveTo conduct a theoretical study on the medical-rehabilitation integration. MethodsStarting from the background, objectives and content of the medical-rehabilitation integration, this study analyzed its innovative points from the dimensions of conceptual innovation, organizational innovation, model innovation and technological innovation. Results and ConclusionThe medical-rehabilitation integration is an innovation in medical services that takes conceptual innovation as the forerunner, organizational innovation as the foundation, model innovation as the carrier and technological innovation as the core.

ObjectiveTo analyze the research status and development trends of non-pharmacological therapies for post-stroke spasticity (PSS) over the past two decades. MethodsRelevant literatures on non-pharmacological rehabilitation of PSS published from January, 2004 to June, 2024 were retrieved from Web of Science Core Collection. CiteSpace 6.3.R6 and VOSviewer 1.6.18 were used for visualization analysis. ResultsA total of 780 publications were included. The annual number of publications showed an overall upward trend. China, the USA, and Italy contributed the highest number of publications. The Hong Kong Polytechnic University and researcher Noureddin Nakhostin Ansari were identified as the most influential institution and author, respectively. High-frequency keywords and cluster labels included electric stimulation, transcranial magnetic stimulation, robot and acupuncture. ConclusionOver the past 20 years, researches on non-pharmacological therapies for PSS have remained active, with hotspots focusing on diverse interventions such as electrical stimulation, magnetic stimulation and robot-assisted therapy.

ObjectiveTo analyze the application trends and research hotspots of neurological rehabilitation over the past decade. MethodsRelevant literatures on neurological rehabilitation published between January, 2015 and December, 2024 were retrieved from the Web of Science Core Collection database. Citespace 6.3.R1 was used for visualization analysis. ResultsA total of 8 727 articles were included, among which 1 117 were from China, with an overall upward trend in annual publication volume in both contexts. The United States was the most productive country, and Harvard University was the most prolific institution. The top three high-frequency keywords globally were spinal cord injury, neurological rehabilitation and virtual reality, whereas the top three high-frequency keywords in China were spinal cord injury, ischemic stroke and brain-computer interface. In recent years, bursting keywords in global included functional neurological disorder, artificial intelligence and deep learning, while bursting keywords in China were neurological function and machine learning. ConclusionOver the past ten years, the volume of global and Chinese researches on neurological rehabilitation has continued to increase. Neurological disorders such as stroke, spinal cord injury, traumatic brain injury and neurodegenerative diseases are the hotspots in this field. The application of emerging technologies, including artificial intelligence, virtual reality, and brain-computer interfaces, is driving the advancement of neurological rehabilitation.

ObjectiveTo analyze the research status, hotspots and development trends in the application of virtual reality (VR) technology in managing negative emotions and postoperative rehabilitation of perioperative patients over the past decade. MethodsLiteratures related to the application of VR technology in managing negative emotions and postoperative rehabilitation of perioperative patients were retrieved from Web of Science Core Collection database and CNKI, covering the period from January, 2015 to August, 2025, and CiteSpace 6.3.R1 was used for bibliometric analysis. ResultsA total of 267 English literatures and 130 Chinese literatures were included, with the annual number of publications showing an upward trend. The United States was the country with the largest number of publications in English literatures, and Erasmus University Rotterdam was the institution with the largest number of publications. High-frequency keywords included virtual reality, pain, surgery, anxiety and distraction. Research hotspots mainly focused on functional exercise, negative emotions, pain management and multimodal intervention strategies. English researches were deepening towards virtual reality exposure therapy, mechanism exploration and personalized schemes, while Chinese researches focused more on the verification of rehabilitation effects. ConclusionResearches on the application of VR technology in the management of perioperative patients are rapidly developing, with research hotspots shifting from single technology application to multimodal and personalized integrated intervention. Future research should focus on exploring its intervention mechanisms, personalized schemes and the breadth of cross-departmental applications.

ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.