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| ID | Type | Description | Link |
|---|---|---|---|
| 000005739 | Registry Identifier | Swiss National Clinical Trial Portal (SNCTP) |
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The aim of our study is to investigate the effects of landscapes during gait therapy. The investigators will evaluate the impacts of restorative landscapes as they occur in urban, rural and forest environments. Older people will experience those landscapes using virtual reality (VR) goggles during their gait training. The investigators expect the landscapes to have an effect on the following three aspects: (1) stress reduction, (2) restoration of attention and (3) change in gait parameters. For this purpose, volunteers who are currently inpatient in one of our study centers and already participating in gait therapy will be assigned to a group. The control group will receive the standard therapy. The participants of the intervention groups will receive five additional VR training sessions to the standard therapy. In these sessions, the participants will walk through urban, rural and forest landscapes and perform balance improvement exercises. The five training sessions will take place within ten days. Allocation to the control or intervention groups and their landscapes is random. At the start and end of participation, tests defining stress levels and gait parameters are carried out so that comparisons can be made between before and after treatment. The goal of the study is to find out which type of landscape supports restoration and can therefore contribute to greater gait stability. The investigators expect that improved gait stability will be promoted by stress reduction and increased attention induced by the virtual environments. The investigators are investigating the consequences of repeated application of virtual landscapes and the relationship between the effect of the landscape and the preferences and habits of the study participants.
In this study, the investigators aim to investigate the effectiveness of using restorative landscape environments during gait training to improve walking performance in older people with gait instability. The investigators will examine the effect of different landscape types (urban, rural, forest) on attention restoration and stress recovery based on a study protocol that defines the exact procedures to be used. The landscape scenes shown are prepared to be displayed in any head-mounted display (HMD). Thus, this training is not device specific. As a means to provide training in a virtual landscape the investigators will use as hardware a PC suitable for VR applications and a HTC Vive Pro Eye, which is a commercially available HMD widely used for gaming and for research projects on landscape perception. It can be used with a wireless adapter so that no cable connection between HMD and PC is required, which is more comfortable but not mandatory for conducting this study. This HMD has further the advantage of an included eye-tracker; however, eye-trackers can be adapted to other HMDs as well. The investigators investigate the general effects that virtual landscapes have on stress recovery, attention restoration, and subsequent changes in gait parameters. The results of this study allow us to draw generalizable conclusions about the creation of virtual landscapes that are ideal for supporting gait stability training.
This study examines the effectiveness of training sessions in one of three virtual scenes of different landscape types (urban, rural, and forest) in older adults with instability in gait compared to the usual care for gait instability. Training content and difficulty will be adapted to the individual's physical abilities. Before and after the intervention phase and during the training sessions, various low-risk measurements will be performed, including heart rate variability (HRV), electrodermal activity (EDA), recording of gait parameters, eye-tracking, and standardized interviews to assess recovery and stress management, landscape perception, and balance confidence.
This study contributes to basic research investigating how training in virtual landscapes can promote the improvement of gait stability by contributing to stress reduction as well as recovery of attention, and by providing safe environments for training close to everyday life.
World's population is ageing. This comes along with increasing health-related costs. While it is well known that experiencing landscapes can promote human restoration and foster human health, older people with physical impairments have limited access to landscapes. Therefore, recent research is investigating the benefits of simulated landscapes, in particular with regard to the restorative value of experiencing virtual landscapes. Furthermore, virtual reality (VR) is increasingly implemented in physical rehabilitation to improve walking ability, because it provides new motivating means for performing required exercises in controlled and save environments. Yet, highly immersive high-fidelity VR landscape environments are not employed in such settings although there is great potential to significantly alter the effectiveness of training interventions through their additional restorative effects. Further, it is still unclear which specific landscape elements in an environment foster or hinder the effect of restoration. The influence of the content characteristics of the VR environments needs to be further investigated, linking them to physiological responses, perceptions as well as to meanings and values they have for people.
Therefore, the main goal of the study "REGaitVR RCT" is (1) to investigate the effectiveness of using restorative landscape environments during gait training to improve walking performance in older people with gait instability, and (2) to analyse the effect of the meaning of landscape elements and psychophysiological responses on restoration. To this end, the investigators will examine the effect of different immersive VR landscape types (urban, rural, forest) on attention restoration and stress recovery, and subsequent changes in gait parameters of older people with gait instability in a randomized controlled pilot trial.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| forest | Experimental | virtual reality (VR) assisted gait therapy in a forest landscape |
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| urban | Experimental | virtual reality (VR) assisted gait therapy in a urban landscape |
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| rural | Experimental | virtual reality (VR) assisted gait therapy in a rural landscape |
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| control | No Intervention | standard gait therapy |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Forest | Other | Participants in the intervention groups will receive 5 VR training sessions over 10 days in addition to their usual care. Each participant will wear the HMD for 25 minutes in each of this training sessions, whereby he or she will first sit for 5 minutes looking at a forest-landscape. This is followed by 20 minutes of independent exploration of the virtual environment by walking. Depending on the user's gait stability, walking aids (such as walking sticks or rollators) may be used. This phase aims at keeping the participant walking. |
| Measure | Description | Time Frame |
|---|---|---|
| Gait Stability | The German version of the Activities-specific Balance Confidence (ABC) Scale is used to assess balance self-confidence in older people. Self-report of fear of falling correlates with performance on the blindfolded and one-legged tests, and in addition, fear of falling can lead to activity limitation, resulting in a decline in physical performance. It has a 11-point response scale (no confidence 0% - 100% completely confident) and the overall score it calculated by summing the scores and dividing by the number of items (16). Cut-off scores are < 50% (lower level of physical functioning), 50-80% (moderate level) and > 80% (high level), a score smaller than 67% indicated a risk for falling. The ABC scale can be complected within 5-10 minutes.It could show an internal consistency of the ABC scale of 0.94 and a test-retest reliability of 0.85 (95% CI, 0.68, 0.93). | at day 0 and day 11 |
| Measure | Description | Time Frame |
|---|---|---|
| Variability (Gait Parameter) | [%] Defined as the coefficient of variation in cycle time, greater variability in step time may be a predictor of future falls. Fallers have significantly greater gait variability than non-fallers, who have comparable results to young subjects. | day 0 - 11 |
| Speed (Gait Parameter) |
| Measure | Description | Time Frame |
|---|---|---|
| Age (Demographic data) | Age have been shown to influence heart rate responses to stress. Gait is affected by age. | day 0 |
| Height (Demographic data) | Gait is affected by height. |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Laura Schalbetter, MSc. | Contact | +41 (0)44 633 34 25 | schalaur@ethz.ch | |
| Ulrike Wissen Hayek, Dr. | Contact | +41 (0)44 633 30 07 | ulrike.wissen@ethz.ch |
| Name | Affiliation | Role |
|---|---|---|
| Ulrike Wissen Hayek, Dr. | ETH Zürich | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Spitäler Schaffhausen | Not yet recruiting | Schaffhausen | Canton of Schaffhausen | 8208 | Switzerland |
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| ID | Term |
|---|---|
| D065928 | Forests |
| ID | Term |
|---|---|
| D017753 | Ecosystem |
| D004777 | Environment |
| D055669 | Ecological and Environmental Phenomena |
| D001686 | Biological Phenomena |
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This is a randomized, multi-arm (4-arm), open-label pilot controlled trial with an allocation ratio of 1:1:1:1 (per intervention group (urban, rural, forest) : control). The study setup is multicentric (Geriatrische Klinik St. Gallen, Spitäler Schaffhausen, Spital Zollikerberg).
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| Urban | Other | Participants in the intervention groups will receive 5 VR training sessions over 10 days in addition to their usual care. Each participant will wear the HMD for 25 minutes in each of this training sessions, whereby he or she will first sit for 5 minutes looking at an urban-landscape. This is followed by 20 minutes of independent exploration of the virtual environment by walking. Depending on the user's gait stability, walking aids (such as walking sticks or rollators) may be used. This phase aims at keeping the participant walking. |
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| Rural | Other | Participants in the intervention groups will receive 5 VR training sessions over 10 days in addition to their usual care. Each participant will wear the HMD for 25 minutes in each of this training sessions, whereby he or she will first sit for 5 minutes looking at a rural-landscape. This is followed by 20 minutes of independent exploration of the virtual environment by walking. Depending on the user's gait stability, walking aids (such as walking sticks or rollators) may be used. This phase aims at keeping the participant walking. |
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[m/s] Fallers have a slower mean forward walking speed. Older people with slow walking speeds (≤ 1.3 m/s) are almost 8 times more likely to fall. |
| day 0 - 11 |
| Asymmetry (Gait Parameter) | [%] Gait asymmetry increases with age and has been identified as a factor associated with falls in older adults. It is greater in people at risk of falling than in those who do not fall. Asymmetry is inversely correlated with preferred walking speed, and asymmetric gait is positively correlated with fall risk and dependence in activities of daily living. | day 0 - 11 |
| Stance (Gait Parameter) | [%] The greater the variability in the proportion of the cycle in which the foot touches the ground, the greater the change for future mobility disability. | day 0 - 11 |
| Max. Heel Clearance (Gait Parameter) | [m] The height of the foot during the swing phase appears to be an important gait parameter related to the risk of falling, as insufficient clearance can directly lead to stumbling, which is a major cause of falls in the elderly. Clearance parameters are a significant predictor of falls. | day 0 - 11 |
| 1-Minute-Sit-to-Stand Test (1-Min-STST) | It is a measure for mobility related functions and physical performance often used to access older people. It is a simple and quick exercise to assess the functional status of a patient and the gesture of getting up is an essential everyday activity. The test will be conducted according to the protocol of Hollier (2022, https://www.pcrs-uk.org/sites/default/files/2022-December-PCRU-1-MSTST.pdf). Reference Values of the sit-to-stand test given by Strassmann et al. 2013 (DOI: 10.1007/s00038-013-0504-z) | at day 0 and day 11 |
| Perceived Restorativeness Scale (PRS) (Attention Restoration) | The operationalization of the Attention Restoration Theory (ART) can be found in the Perceived Restorativeness Scale (PRS) from Hartig et al. (1996). This scale is a valid and reliable measure of quality in restoration in different environments and has proved the sensitivity to theoretically relevant differences between environments. This self-report measurement is used in the majority of studies where researchers wanted to quantify restoration of environment. Answers can be given from 0 (not true at all) to 10 (Completely true).The scale has 26 items which can be divided into 7 categories: being away (max. point: 30), coherence (max. point: 24), compatibility (max. point: 30), fascination (max. point: 36), familiarity (max. point: 6), preference (max. point: 12), scope (may. point: 18). The investigators will use the German translation from Cervinka et al. (2016). | day 0 - 11 |
| Perceived Stress Scale (PSS) (Stress Reduction) | To measure the stress level of patients in hospital the investigators will use the self-reported Perceived Stress Scale (PSS) which is the most widely used scale for measuring the perception of stress of an individual. The 10-item scale is easy to understand and the scoring is from 1 (Never) to 5 (Very Often). We will use the German version of the PSS-10 translated and verified by Schneider et al. (2020). A score from 10 to 50 can be reached.
EDA can be measured with only two electrodes on the skin surface. The investigators will use the Empatica E4 wristband for the measurement. | day 0 - 11 |
| Skin Conductance Levels (SCL) (Stress Reduction) | As a non-invasive method, Electrodermal Activity (EDA) measurements is used widely for detecting stress and emotions [101] as it is controlled by the autonomic nervous system. It's a real-time measurement, related to the level of physiological arousal. It is a widely used method in attention restoration studies (VR and real). The two components, tonic and phasic, can be used to analyse two different characteristics. The tonic, also called skin conductance level (SCL), is related to the slow-changing signals. Stress Recovery can be shown by an lower level of skin conductance fluctuations. EDA can be measured with only two electrodes on the skin surface. The investigators will use the Empatica E4 wristband for the measurement. | day 0 - 11 |
| Non-Specific Skin Conductance Responses (NS-SCRs) (Stress Reduction) | As a non-invasive method, Electrodermal Activity (EDA) measurements is used widely for detecting stress and emotions as it is controlled by the autonomic nervous system. It's a real-time measurement, related to the level of physiological arousal. It is a widely used method in attention restoration studies (VR and real). The two components, tonic and phasic, can be used to analyse two different characteristics. the phasic component, also called skin conductance response (SCR), can be associated with a stimulus. NS-SCRs is used for epoch-based studies and can indicate an overall arousal; there usually expressed as average of intervals with responses per unit of time; The mean amplitude of NS-SCR can indicate a change in the level of stress. During rest we have 1-3 NS-SCRs/min, whereas we can have over 20 NS-SCRs/min in high arousal situations. EDA can be measured with only two electrodes on the skin surface. The investigators will use the Empatica E4 wristband for the measurement. | day 0 - 11 |
| Event-related Skin Conductance Responses (ER-SCRs) (Stress Reduction) | For quantifying the response to a given stimulus (used in stimulus-driven studies). EDA can be measured with only two electrodes on the skin surface. The investigators will use the Empatica E4 wristband for the measurement. | day 0 - 11 |
| Standard deviation of all NN (normal-to-normal) intervals (SDNN) (Heart Rate Variability (HRV), Stress Reduction) | The fluctuation of the length of heart beat intervals, also called Heart Rate Variability (HRV) represents the ability of the heart to respond to stimuli (physiological and environmental). Several studies have shown, that HRV is a good indicator of stress as well as perceived valence (i.e., like or dislike) of image content. The measurement is non-invasive and can be done with the Empatica E4 wristband as well. SDNN is the index of physiological resilience against stress | day 0 - 11 |
| Root Mean Square of Successive Differences (RMSSD) (Heart Rate Variability (HRV), Stress Reduction) | The fluctuation of the length of heart beat intervals, also called Heart Rate Variability (HRV) represents the ability of the heart to respond to stimuli (physiological and environmental). Several studies have shown, that HRV is a good indicator of stress as well as perceived valence (i.e., like or dislike) of image content. The measurement is non-invasive and can be done with the Empatica E4 wristband as well. RMSSD is known as the value for the body's ability to recover, the greater this number, the better. | day 0 - 11 |
| LF/HF-ratio (Heart Rate Variability (HRV), Stress Reduction) | The fluctuation of the length of heart beat intervals, also called Heart Rate Variability (HRV) represents the ability of the heart to respond to stimuli (physiological and environmental). Several studies have shown, that HRV is a good indicator of stress as well as perceived valence (i.e., like or dislike) of image content. The measurement is non-invasive and can be done with the Empatica E4 wristband as well. The ratio of the power in low frequency range (0.04Hz and 0.15Hz) to the power in high frequency range (0.15Hz and 0.4Hz) can indicate changes in stress levels | day 0 - 11 |
| Heart Rate change (ΔHR) (Meaning / Valence of Landscapes) | In addition, HRV is an indicator of perceived valence (i.e., like or dislike) of image content. Pre- and post-stimulus Inter-Beat Intervals (IBIs) are combined to construct a heart rate change time course with respect to the mean pre-stimulus heart rate (= baseline value). Immediate, dramatic deceleration in heart rate has been associated with negatively valent stimuli, whereas positively valent stimuli come along with an immediate deceleration followed by a slight acceleration before decelerating again. | day 1 - 10 |
| Questionnaire / structured interview on landscape preferences and meanings ascribed to landscapes (Meaning / Valence of Landscapes) | Further, qualitative interviews will be used to gain further insight into individual landscape preferences and valuation, bonds and relations to the perceived landscapes, as well as meanings and feelings people associate with the landscapes: Where they live? Where have they used to live? Do they have access to the landscapes? Do they spend time there? | day 0 |
| Gaze patterns | To understand the process of observation and to connect the single changes in HRV and EDA with what the user is focusing at in the virtual reality scene, the investiagtors will use eye-tracking to record the eye movements. Using eye tracking helps to understand the visual attention and arousal of the user, due to analysing the fixations within a scene. Analysing the duration of fixations can help to interpret greater interest and emotional arousal. Lower numbers of fixations and saccades and longer fixation durations are observed in natural scenes compared to urban views. Additionally the environmental components of the restorative benefits can be explored using eye tracking. The investigators will use the HMD HTC Vive Pro Eye VR with integrated eye tracking powered by Tobii (120Hz Frequency, 0.5°-1.1° Accuracy). For the recording we will use scripts provided by Chamberlain et al. (2023). | day 1 - 10 |
| day 0 |
| Weight (Demographic data) | Gait is affected by weight | day 0 |
| Gender (Demographic data) | These data will be used to analyse the study results for differences in gender. Gender have been shown to influence heart rate responses to stress | day 0 |
| Education (Demographic data) | These data will be used to analyse the study results for differences in other relevant participant characteristics | day 0 |
| Diagnosis and reason for gait stability training | These data will be used to analyse the study results for differences in reasons for training in gait stability | day 0 |
| Time since last fall | A history of falls may increase fear of falling, which in turn can lead to gait abnormalities | day 0 |
| Geriatrische Klinik St. Gallen | Not yet recruiting | Sankt Gallen | Canton of St. Gallen | 9000 | Switzerland |
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| Spital Zollikerberg | Recruiting | Zollikerberg | Canton of Zurich | 8125 | Switzerland |
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| D004778 |
| Environment and Public Health |