Acute effects of virtual reality treadmill training on gait and cognition in older adults: A randomized controlled trial

The effectiveness of digital technology interventions for cognitive function in older adults: a systematic review and meta-analysis of randomized controlled trials

Digital technology interventions (DTIs) are seen as promising interventions to prevent or delay cognitive decline in older adults, yet evidence from reviews is not conclusive. The aim of this study is to explore the effectiveness of DTIs in improving older adults' cognitive function while taking study design and intervention characteristics as moderators. We searched the PubMed, Embase, CINAHL, PsycINFO, and Scopus databases up to May 26, 2023. Only randomized controlled trials examined the effects of DTIs on cognitive function were included in our study. Standardized mean difference (SMD) and 95% confidence interval for outcomes were applied in meta-analyses and subgroup analyses. A risk of bias assessment was also conducted. Overall, 23 eligible studies with a total sample size of 1454 participants were included. We found that DTIs significantly improved global cognitive function (SMD = 0.479), attention and processing speed (SMD = 0.488), executive function (SMD = 0.287), immediate recall (SMD = 0.266), and working memory (SMD = 0.307). Our subgroup analyses revealed that DTIs were more effective for cognitively impaired subjects, and DTIs with specific intervention characteristics, such as the inclusion of cognitive standard tasks, virtual reality-based interventions, specialized settings, professional guidance, low/medium-density training, > 24 sessions, and sessions lasting > 30 min, were more effective for different cognitive domains. This study supported the effectiveness of DTIs in improving cognitive function in older adults aged 60 years old and over, which may be influenced by study design and intervention characteristics. These findings have important implications for clinical dementia prevention and treatment strategies targeted at specific cognitive domains.

Analysis of Gait Kinematics in Smart Walker-Assisted Locomotion in Immersive Virtual Reality Scenario

The decline in neuromusculoskeletal capabilities of older adults can affect motor control, independence, and locomotion. Because the elderly population is increasing worldwide, assisting independent mobility and improving rehabilitation therapies has become a priority. The combination of rehabilitation robotic devices and virtual reality (VR) tools can be used in gait training to improve clinical outcomes, motivation, and treatment adherence. Nevertheless, VR tools may be associated with cybersickness and changes in gait kinematics. This paper analyzes the gait parameters of fourteen elderly participants across three experimental tasks: free walking (FW), smart walker-assisted gait (AW), and smart walker-assisted gait combined with VR assistance (VRAW). The kinematic parameters of both lower limbs were captured by a 3D wearable motion capture system. This research aims at assessing the kinematic adaptations when using a smart walker and how the integration between this robotic device and the VR tool can influence such adaptations. Additionally, cybersickness symptoms were investigated using a questionnaire for virtual rehabilitation systems after the VRAW task. The experimental data indicate significant differences between FW and both AW and VRAW. Specifically, there was an overall reduction in sagittal motion of 16%, 25%, and 38% in the hip, knee, and ankle, respectively, for both AW and VRAW compared to FW. However, no significant differences between the AW and VRAW kinematic parameters and no adverse symptoms related to VR were identified. These results indicate that VR technology can be used in walker-assisted gait rehabilitation without compromising kinematic performance and presenting potential benefits related to motivation and treatment adherence.

The effect of virtual reality treadmill training on obstacle crossing parameters in older adults

With increased age, walking without tripping requires greater cognitive demand. Therefore, it may be beneficial for training interventions to address and incorporate aspects of cognitive load. The purpose of this study was to compare a semi-immersive virtual reality treadmill training (VRTT) and conventional treadmill training (CTT) on obstacle clearance and trip hazard in older adults. Obstacle clearance parameters were measured with foot-mounted inertial measurement units (IMUs) and a Zeno pressure walkway. All data were processed and analyzed through custom Matlab scripts. Obstacle step height mean decreased (p = .003) in the lead limb following both training interventions. Additional significant changes were found in pre- and post-obstacle distance mean following both training interventions. Furthermore, significant correlations were found between demographic, cognitive, and functional mobility assessments and changes in dependent measures. The findings suggest that both the VRTT and CTT interventions may provide a reduction in trip risk in older adults, although through different methods.

Enhancing Brain Health and Well-Being in Older Adults: Innovations in Lifestyle Interventions

PURPOSE OF REVIEW

This article will provide clinicians with guidance on helping older adult patients make lifestyle changes to enhance brain health and well-being.

RECENT FINDINGS

Evidence suggests that physical activity might be helpful in improving cognitive functioning. The data on the benefits of cognitive activity is inconsistent and not as robust. The MediDiet, DASH, and MIND diets have been associated with better cognitive health. Sleep hygiene and cognitive behavioral therapies are considered first line evidence-based treatments for insomnia and the maintenance of healthy sleep patterns. Mindfulness based interventions have been shown to reduce anxiety, depression, and stress, and can help some older adults manage pain more constructively. Evidence-based information regarding the four topics of exercise, nutrition, sleep, and mindfulness is reviewed, so that clinicians may be better able to optimize care for their older adult patients.

Effectiveness of sensor-based interventions in improving gait and balance performance in older adults: systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Sensor-based interventions (SI) have been suggested as an alternative rehabilitation treatment to improve older adults' functional performance. However, the effectiveness of different sensor technologies in improving gait and balance remains unclear and requires further investigation.

METHODS

Ten databases (Academic Search Premier; Cumulative Index to Nursing and Allied Health Literature, Complete; Cochrane Central Register of Controlled Trials; MEDLINE; PubMed; Web of Science; OpenDissertations; Open grey; ProQuest; and Grey literature report) were searched for relevant articles published up to December 20, 2022. Conventional functional assessments, including the Timed Up and Go (TUG) test, normal gait speed, Berg Balance Scale (BBS), 6-Minute Walk Test (6MWT), and Falling Efficacy Scale-International (FES-I), were used as the evaluation outcomes reflecting gait and balance performance. We first meta-analyzed the effectiveness of SI, which included optical sensors (OPTS), perception sensors (PCPS), and wearable sensors (WS), compared with control groups, which included non-treatment intervention (NTI) and traditional physical exercise intervention (TPEI). We further conducted sub-group analysis to compare the effectiveness of SI (OPTS, PCPS, and WS) with TPEI groups and compared each SI subtype with control (NTI and TPEI) and TPEI groups.

RESULTS

We scanned 6255 articles and performed meta-analyses of 58 selected trials (sample size = 2713). The results showed that SI groups were significantly more effective than control or TPEI groups (p < 0.000) in improving gait and balance performance. The subgroup meta-analyses between OPTS groups and TPEI groups revealed clear statistically significant differences in effectiveness for TUG test (mean difference (MD) = - 0.681 s; p < 0.000), normal gait speed (MD = 4.244 cm/s; p < 0.000), BBS (MD = 2.325; p = 0.001), 6MWT (MD = 25.166 m; p < 0.000), and FES-I scores (MD = - 2.036; p = 0.036). PCPS groups also presented statistically significant differences with TPEI groups in gait and balance assessments for normal gait speed (MD = 4.382 cm/s; p = 0.034), BBS (MD = 1.874; p < 0.000), 6MWT (MD = 21.904 m; p < 0.000), and FES-I scores (MD = - 1.161; p < 0.000), except for the TUG test (MD = - 0.226 s; p = 0.106). There were no statistically significant differences in TUG test (MD = - 1.255 s; p = 0.101) or normal gait speed (MD = 6.682 cm/s; p = 0.109) between WS groups and control groups.

CONCLUSIONS

SI with biofeedback has a positive effect on gait and balance improvement among a mixed population of older adults. Specifically, OPTS and PCPS groups were statistically better than TPEI groups at improving gait and balance performance, whereas only the group comparison in BBS and 6MWT can reach the minimal clinically important difference. Moreover, WS groups showed no statistically or clinically significant positive effect on gait and balance improvement compared with control groups. More studies are recommended to verify the effectiveness of specific SI. Research registration PROSPERO platform: CRD42022362817. Registered on 7/10/2022.

Global Cognition, Gender, and Level of Education Predict Dual-Task Gait Speed Variability Metrics in Older Adults

INTRODUCTION

The purpose of this study was to determine if demographic variables and measures of cognitive function, functional mobility, self-reported balance self-efficacy, and self-reported physical activity can predict gait speed variability during single-task walking (STGSCV), during cognitive-motor dual-tasking (DTGSCV), and dual-task effect on gait speed variability (DTEGSCV) in older adults.

METHODS

In 62 older adults, demographics were recorded and cognitive function (including the Montreal Cognitive Assessment, MoCA), functional mobility, balance self-efficacy (Activities-specific Balance Confidence Scale, ABC), and self-reported physical activity (Physical Activity Scale for the Elderly, PASE) were assessed. Three linear regression models were used to determine whether the functional mobility tests, PASE score, ABC score, and tests of cognitive function predicted gait speed variability outcomes (STGSCV, DTGSCV, DTEGSCV), with demographics included as covariates.

RESULTS

MoCA score (p = 0.003), gender (p = 0.040), and years of education (p = 0.010) significantly predicted DTGSCV (R2 = 0.297, p = 0.002). MoCA score (p = 0.008) and years of education (p < 0.001) also significantly predicted DTEGSCV. Despite a significant regression model (R2 = 0.316, p = 0.001), there were no significant individual predictors of STGSCV.

CONCLUSION

Older adults with lower cognitive function scores, according to the MoCA, and higher levels of education demonstrate larger gait speed variability during dual-tasking and may be at increased risk of real-world mobility issues or falling.

Extended reality to assess post-stroke manual dexterity: contrasts between the classic box and block test, immersive virtual reality with controllers, with hand-tracking, and mixed-reality tests

BACKGROUND

Recent technological advancements present promising opportunities to enhance the frequency and objectivity of functional assessments, aligning with recent stroke rehabilitation guidelines. Within this framework, we designed and adapted different manual dexterity tests in extended reality (XR), using immersive virtual reality (VR) with controllers (BBT-VR-C), immersive VR with hand-tracking (BBT-VR-HT), and mixed-reality (MD-MR).

OBJECTIVE

This study primarily aimed to assess and compare the validity of the BBT-VR-C, BBT-VR-HT and MD-MR to assess post-stroke manual dexterity. Secondary objectives were to evaluate reliability, usability and to define arm kinematics measures.

METHODS

A sample of 21 healthy control participants (HCP) and 21 stroke individuals with hemiparesis (IHP) completed three trials of the traditional BBT, the BBT-VR-C, BBT-VR-HT and MD-MR. Content validity of the different tests were evaluated by asking five healthcare professionals to rate the difficulty of performing each test in comparison to the traditional BBT. Convergent validity was evaluated through correlations between the scores of the traditional BBT and the XR tests. Test-retest reliability was assessed through correlations between the second and third trial and usability was assessed using the System Usability Scale (SUS). Lastly, upper limb movement smoothness (SPARC) was compared between IHP and HCP for both BBT-VR test versions.

RESULTS

For content validity, healthcare professionals rated the BBT-VR-HT (0[0-1]) and BBT-MR (0[0-1]) as equally difficult to the traditional BBT, whereas they rated BBT-VR-C as more difficult than the traditional BBT (1[0-2]). For IHP convergent validity, the Pearson tests demonstrated larger correlations between the scores of BBT and BBT-VR-HT (r = 0.94;p < 0.001), and BBT and MD-MR (r = 0.95;p < 0.001) than BBT and BBT-VR-C (r = 0.65;p = 0.001). BBT-VR-HT and MD-MR usability were both rated as excellent, with median SUS scores of 83[57.5-91.3] and 83[53.8-92.5] respectively. Excellent reliability was found for the BBT-VR-C (ICC = 0.96;p < 0.001), BBT-VR-HT (ICC = 0.96;p < 0.001) and BBT-MR (ICC = 0.99;p < 0.001). The usability of the BBT-VR-C was rated as good with a median SUS of 70[43.8-83.8]. Upper limb movements of HCP were significantly smoother than for IHP when completing either the BBT-VR-C (t = 2.05;p = 0.043) and the BBT-VR-HT (t = 5.21;p < 0.001).

CONCLUSION

The different XR manual tests are valid, short-term reliable and usable tools to assess post-stroke manual dexterity.

TRIAL REGISTRATION

https://clinicaltrials.gov/ct2/show/NCT04694833 ; Unique identifier: NCT04694833, Date of registration: 11/24/2020.

Comparison of Exergames Versus Conventional Exercises on the Health Benefits of Older Adults: Systematic Review With Meta-Analysis of Randomized Controlled Trials

BACKGROUND

Conventional exercises (CEs) can provide health benefits for older adults, but the long-term exercise adherence rate is low. As an emerging, stimulating, and self-motivating strategy, exergames (EGs) are defined as combinations of exercises and games that users carry out through physical actions. They can promote exercise, but the health effects of EGs versus CEs on the physical function and mental health (cognitive function, depression, and quality of life) of older adults remain controversial.

OBJECTIVE

The aim of the study is to compare the health benefits of EGs versus those of CEs for the physical function and mental health of older adults.

METHODS

A comprehensive search was conducted from the earliest available date to February 2023 in the following 6 databases: PubMed, Web of Science, Embase, Cochrane, CINAHL, and PsycINFO. All English-language randomized controlled trials comparing the effects of EGs versus those of CEs on the physical function and mental health of older adults, with nearly same physical activity between the 2 interventions, were included. Risk of bias was independently evaluated by 2 authors using the Cochrane risk of bias in randomized trials tool. Two authors independently extracted data. We followed the Cochrane Handbook of Systematic Reviews of Interventions to process and analyze the data for meta-analysis. Standardized mean differences (SMDs) and 95% CIs were used for continuous data, and random models were used for analyses.

RESULTS

We included 12 studies consisting of 919 participants in total. Of these, 10 studies were eventually included in the meta-analysis. The results showed that EGs versus CEs exhibited no significant differences in physical (P=.13; τ2=0.31; χ26=26.6; I2=77%; SMD=0.37; 95% CI -0.11 to 0.86) or cognitive function (P=.63; τ2=0.01; χ23=3.1; I2=4%; SMD=0.09; 95% CI -0.27 to 0.44) effects.

CONCLUSIONS

Our findings indicate no significant difference between EGs and CEs in improving the physical function and cognitive function of older adults. Future studies are required to compare the effects of EGs versus those of CEs on cognitive function according to cognitive status, quantify the "dose-effect" relationship between EGs and health benefits, and evaluate the effects of different types and devices of EGs with regard to the health benefits of older adults.

TRIAL REGISTRATION

PROSPERO CRD42022322734; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=322734.

Vibration motor stimulation device in smart leggings that promotes motor performance in older people

Globally, accelerated aging is taking place alongside increased life expectancy of the population. This poses a challenge to maintaining autonomy and independence as people age but preventing falls and disabilities. Currently, there are few specific technologies on the market that are focused on the rehabilitation and promotion of autonomy in older adults. This study presents the development of a prototype (Myoviber®) of a low-cost, wearable everyday garment, designed to stimulate the lower limbs by the application of focal muscle vibration and incorporating technical textile qualities. The presented approach is proactive and preventive, maintaining functionality for the elderly while integrating electronic technology into an everyday garment. For this, a comprehensive study was carried out that included the design of the leggings through anthropometric analyses, the development of vibration devices at a stable frequency located in the knee extensor muscle and a smart belt with wireless connection, and the optimization of the battery autonomy. The development of the prototype was carried out through the construction of a vibratory device, which was validated with biomechanical evaluations. The results show an increase in the functional capacity of the lower limbs, in relation to motor tasks such as postural balance and gait in older people.