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Does visual manipulation of the lifted load within a virtual reality environment influence perceived exertion with resistance exercise?

Does visual manipulation of the lifted load within a virtual reality environment influence perceived exertion with resistance exercise in healthy female participants?

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12626000442303
Enrollment
3
Registered
2026-04-09
Start date
2026-03-20
Completion date
2026-07-31
Last updated
2026-04-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

The aim of this study is to provide proof of concept that the perceived exertion from exercising at a fixed intensity can be modified by manipulation of the observed load. We will address this aim by asking healthy participants to undertake a number of sets of a bilateral leg press exercises while wearing a VR headset, which blocks (occludes) the real-world environment from the user. The actual load will stay constant, but the load visualised in the VR headset will vary. Participants will be asked to rate the perceived exertion of the randomly presented conditions at the end of each set

Interventions

performance of a leg press exercise in a virtual reality environment in which the observed weight does not match the actual weight All testing occurs with supervision of a Physiotherapy honours student and an academic staff member. Participants will be seated in an incline leg press machine and the manual blocks on the machine adjusted to limit the range of knee flexion and extension to a pre-specified range. Participants will then practice performing the leg press movements with no additional l

performance of a leg press exercise in a virtual reality environment in which the observed weight does not match the actual weight All testing occurs with supervision of a Physiotherapy honours student and an academic staff member. Participants will be seated in an incline leg press machine and the manual blocks on the machine adjusted to limit the range of knee flexion and extension to a pre-specified range. Participants will then practice performing the leg press movements with no additional load on the machine (i.e., 50kg). Next, a virtual reality headset, which blocks the real world environment from the user, will be fitted with the participant seated in the machine. Through this headset the participant can view the leg press machine and a female model wearing similar clothes and shoes performing leg press exercises under different weight conditions. For each exercise the video shows the model performing five sets in time to a metronome. A standardised training regimen will then be used that helps the person learn how to use the hand controllers to navigate within the virtual environment. Two practice sets of performing the leg press task in time with the video image they observe in the headset in which actual and visualised load match will then occur as well as practice utilising the outcome measures at the completion of each set. The participant will then remove the headset and have any questions answered. Further familiarisation will occur if the participant does not feel confident to continue. Once the participant is confident to proceed, the formal testing will begin. Participants will be informed that the purpose of the study is to investigate the biomechanics of the leg press exercise under different loads, and whether this differs between the virtual and non-virtual environments. To this end, reflective markers will be placed over that lateral knee, hip and ankle of the person’s right leg and a video camera positioned on the right side of the leg press machine. Participants will be told that they will be asked to lift different weights that correspond to the weights seen on the video and we will compare the biomechanics of lifting in a virtual environment with biomechanical data already collected of lifting the same loads in a normal environment. The measurement of Rate of Perceived Exertion (RPE), Repetitions in Reserve (RIR) and muscular fatigue will be described as process variables to be controlled for when analysing biomechanical differences. The participant will be exposed to four different conditions, four times presented in a randomised, counterbalanced order. The unloaded leg press weight is 50 kg. In all conditions the actual load will be 70 kg (bar weight plus 20 kg added weight) so the four conditions are: A = 20kg on bar initially, observe the removal of 20kg so visualise a lift of 50kg (actual lift 70 kg) B= 0 kg on bar initially, observe the addition of 20 kg so visualise a lift of 70kg (actual lift 70 kg) C = 40Kg on bar initially, observe the removal of 20 kg so visualise a lift of 70 kg (actual lift 70 kg) D = 20 kg on bar initially, observe the addition of 20 kg, so visualise a lift of 90kg (actual lift 70 kg) Participants will perform five repetitions of a condition then immediately provide their RPE and RIR. The RPE and RIR scales are displayed in the headset after each repetition to facilitate this. After a two minutes rest, they will complete the next condition in the randomisation sequence and repeat the assessment process. After four conditions the participant will remove the head set and will be free to move around for five minutes. After this rest period another sequence of four conditions will occur using the same methodology as above. This will be then repeated two more times so that all participants complete all four conditions four times. Total testing time is approximately 60 minutes

Sponsors

The University of Notre Dame Australia
Lead SponsorUniversity

Study design

Allocation
Randomised controlled trial
Intervention model
Crossover
Primary purpose
Treatment

Eligibility

Sex/Gender
All
Age
18 Years to 40 Years
Healthy volunteers
Yes

Inclusion criteria

females 18 - 40 years of age currently healthy and pain free no recent history of lower limb pain, injury or surgery

Exclusion criteria

We will exclude people with risk factors for cyber sickness (previous significant cyber sickness, recent concussion, epilepsy, severe migraines, severe motion sickness, and balance disorders). We will exclude people with risk of lower limb injury (age over 40, recent or current musculoskeletal pain problem, injury or surgery, medically unwell, RPE over 8 for 60Kg load). We will exclude people who currently use a leg press machine for training more than 3 times a week

Outcome results

None listed

Source: ANZCTR · Data processed: Apr 17, 2026