Daily steps are associated with walking ability in hospitalized patients with sub-acute stroke

Mechanism evaluation of a digitally enabled rehabilitation intervention for people in aged care and neurological rehabilitation: mediation analysis of the AMOUNT trial

PURPOSE

To investigate potential mechanisms of a digital rehabilitation intervention associated with improved mobility among adults undertaking rehabilitation.

MATERIALS AND METHODS

Causal mediation analysis of the AMOUNT trial (ACTRN12614000936628). Participants were randomised to digitally-enabled rehabilitation (virtual reality video games, activity monitors, and handheld computer devices prescribed by a physiotherapist) and usual care or usual care alone. Outcomes were mobility (Short Physical Performance Battery; continuous version; range 0-3), physical activity (average steps per day), and quality of life (EQ-5D-5L; utility score; range 0-1) measured at 6-months post-randomisation. Hypothesised mediators included mobility, physical activity, cognition, balance confidence, pain, activity and participation, and computer self-efficacy, assessed at 3-weeks post-randomisation.

RESULTS

216 participants with complete data were included. Three-week sit-to-stand ability mediated 6-month mobility (indirect effect 0.09 points, 95%CI 0.03-0.16), explaining 48% of the intervention's effect. Dynamic single-leg-stance balance mediated physical activity (indirect effect 345 steps per day, 95%CI 63-678) and composite mobility mediated quality of life (indirect effect 0.03 points, 95%CI 0.00-0.05).

CONCLUSION

Digital rehabilitation outcomes appear to be mediated through sit-to-stand ability, dynamic single-leg-stance balance, and overall mobility. While future research is required to better understand these mediators, our findings recommend sit-to-stand training as a core element of digital rehabilitation interventions targeting mobility.

Influences on the physical activity behaviour of inpatients after stroke outside of staff-led rehabilitation sessions: a systematic review

OBJECTIVE

To use behavioural science frameworks to synthesise evidence on the factors influencing physical activity of patients hospitalised after stroke outside of staff-led rehabilitation sessions.

DATA SOURCES

A systematic review of qualitative and mixed-methods studies. MEDLINE, PsycINFO, CINAHL, and AMED were searched from inception to October 2024 for studies that explored influences on the physical activity of patients hospitalised after stroke.

REVIEW METHODS

Data were coded with reference to the Theoretical Domains Framework and the COM-B ('capability', 'opportunity', 'motivation' and 'behaviour') model. Thematic analysis was used to group data extracts into themes within each Theoretical Domains Framework domain. Risk of bias was assessed using the Mixed Methods Appraisal Tool.

RESULTS

We identified 17 studies. There was no significant risk of bias concerns. We identified 19 themes across eight Theoretical Domains Framework domains and all COM-B model categories. The most frequently recognised themes were found in three Theoretical Domains Framework domains: Environmental Context and Resources (themes: 1 -- availability of sufficient skilled staff to facilitate physical activity; 2 - design and use of the physical environment; 3 - lack of opportunities or incentives; 4 - passivity and institutionalisation; 5 - perceived and actual rules and culture of the ward); Skills (theme: physical impairments); and Social Influences (theme: activity influenced by family and friends).

CONCLUSIONS

The review highlights the complexity of the influences on the physical activity of patients hospitalised after stroke outside of staff-led rehabilitation sessions. It is likely multi-component interventions addressing a number of influences will be required to effectively improve physical activity. PROSPERO ID: CRD42022383506.

Cutoff values of motor and cognitive measures for predicting and discriminating levels of activities of daily living after stroke: a scoping review

The various assessments performed by rehabilitation professionals not only indicate the patient's current functional status but can also help determine the future status (prediction) or the ability to perform untested tasks (discrimination). In particular, the cutoff values are the simplest predictive and discriminative tool that can be widely used in clinical practice. The purpose of this scoping review was to summarize the current literature on cutoff values of motor and cognitive function for predicting or discriminating levels of activities of daily living after stroke. A literature search was conducted using the PubMed, CINAHL, and Scopus databases. The creation of the search criteria, primary screening of titles and abstract, and secondary screening by full-text review were performed by two rehabilitation professionals. A total of 54 articles were included. The summary of the cutoff values for prediction based on longitudinal studies revealed that an NIHSS score ≤8 and mRMI score ≥19 at acute hospitalization can predict good functional independence and walking independence, respectively, indicating reliable cutoff values. Cutoff values for predicting specific ADLs, such as toilet use or dressing, were not reported, which was a potential research gap identified in this review. Alternatively, the summary of the cutoff values for discrimination based on cross-sectional studies revealed that 288-367.5 m on the 6-min walk test and 25.5-27.6 points on the FMA-LL can discriminate community and noncommunity walkers. Considering the difference between prediction and discrimination, the reliable predicted cutoff values revealed in this review are useful for planning an intervention based on early prediction. Conversely, cutoff values for discrimination can estimate different performances with simpler test, or use as target values during rehabilitation.

Changes in physical activity level during hospitalization in patients with stroke and those with fracture: a prospective longitudinal study

[Purpose] To examine changes in physical activity levels between admission and discharge in patients hospitalized after stroke and fracture. [Participants and Methods] Patients with stroke (n=36) or fracture (n=41) wore an accelerometer during the daytime for three days after admission and before discharge. Physical activity was divided into sedentary behavior (SB), light-intensity (LIPA), and moderate-to-vigorous (MVPA), and then compared between hospital admission and discharge using the Wilcoxon signed-rank test. The characteristics of patients with or without changes in SB during hospitalization were compared using the Mann-Whitney U test. [Results] The median LIPA time in patients after stroke and fracture increased from 107.5 and 106.7 minutes on admission to 122.0 and 127.3 minutes at discharge, and the median MVPA time increased from 2.7 and 0.7 minutes on admission to 4.2 and 2.7 minutes at discharge, respectively. In particular, LIPA in non-therapy time increased for patients both after stroke and fracture. No differences in characteristics were observed between with or without changes in SB regardless of differences in diagnoses. [Conclusion] These findings indicate that while physical activity levels increased during hospitalization, they remained below World Health Organization recommendations for MVPA, and patient characteristics alone may not account for increased activity levels.

Association of Malnutrition With Physical Activity Intensity in Patients With Subacute Stroke

OBJECTIVE

To investigate the relationship between nutritional status measured by the Global Leadership Initiative on Malnutrition (GLIM) criteria and the intensity of physical activity, and to determine the association between these factors and the activities of daily living (ADLs) in patients with subacute stroke during hospitalization.

DESIGN

A cross-sectional study.

SETTING

The study was conducted in the rehabilitation unit at a neurosurgical hospital.

PARTICIPANTS

One hundred and twenty-eight patients with subacute stroke (N=128).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Nutritional status was assessed using GLIM criteria. Sedentary behavior (SB), light-intensity physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA) were measured using an accelerometer. Multiple regression analysis was used to investigate the relationship between nutritional status and intensity of physical activity. Moreover, the association of nutritional status and physical activity intensity with ADLs was determined using multiple regression analysis and mediation analysis.

RESULTS

Malnutrition was associated with SB time (B = 16.241, P=.009) and LIPA time (B = -17.656, P=.002), but not MVPA time (B = -0.472, P=.776). SB time (B = -0.063, P=.009) and LIPA time (B = 0.093, P<.001) were associated with functional independence measure for motor function, while MVPA time (B = -0.080, P=.379) was not. SB time (coefficient = -10.785, P<.001) and LIPA time (coefficient = -12.054, P<.001) were significant mediators between nutrition status and ADLs.

CONCLUSIONS

Malnutrition was associated with a SB time and LIPA time, but not MVPA time, in patients with sub-acute stroke. SB and LIPA times were associated with ADLs and mediated between nutrition status and ADLs in these patients. The association of nutritional status on physical activity and ADLs should be considered in stroke rehabilitation.

Wearable Leg Movement Monitoring System for High-Precision Real-Time Metabolic Energy Estimation and Motion Recognition

Comprehensive and quantitative assessment of human physical activity in daily life is valuable for healthcare, especially for those who suffer from obesity and neurological disorders or are at high risk of dementia. Common wearable devices, e.g., smartwatches, are insufficient and inaccurate for monitoring highly dynamic limb movements and assessing human motion. Here, we report a new wearable leg movement monitoring system incorporating a custom-made motion sensor with machine learning algorithm to perceive human motion accurately and comprehensively during diverse walking and running actions. The system enables real-time multimodal perceptions of personal identity, motion state, locomotion speed, and energy expenditure for wearers. A general law of extracting real-time metabolic energy from leg movements is verified although individual gaits show differences. In addition, we propose a novel sensing configuration combining unilateral lower leg movement velocity with its angular rate to achieve high accuracy and good generalizability while simplifying the wearable system. Advanced performances in personal identification (accuracy of 98.7%) and motion-state recognition (accuracy of 93.7%) are demonstrated. The wearable system also exhibites high-precision real-time estimations of locomotion speed (error of 3.04% to 9.68%) and metabolic energy (error of 4.18% to 14.71%) for new subjects across various time-varying conditions. The wearable system allows reliable leg movement monitoring and quantitative assessment of bodily kinematic and kinetic behaviors during daily activities, as well as safe identity authentication by gait parameters, which would greatly facilitate smart life, personal healthcare, and rehabilitation training.