A Study on the Stress-Relieving Effects of Green VR Environments: A Volunteer Study

A Study on the Stress-Relieving Effects of Green VR Environments: A Volunteer Study - A Study on the Stress-Relieving Effects of Green VR Environments

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000059448

Enrollment

Registered

2025-10-18

Start date

2025-10-18

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Dental Anesthesiology

Interventions

This study involves applying a stress load to the same subject and measuring each parameter before and after the stress load, whilst the subject is at rest. This study subjects the same participants t

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Healthy adults (American Society of Anesthesiologists physical status classification (ASA-PS classification of 1 or 2))

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

Measure	Time frame
1) Measurement of biochemical stress markers (minimally invasive): Saliva samples are collected from subjects before and after the VR experience. Using the SOMA CUBE Reader, concentrations of salivary cortisol, secretory immunoglobulin A (sIgA), secretory immunoglobulin G (sIgG), and amylase are measured. Changes in these biomarkers will be analysed to evaluate alterations in stress responses and immune responses following VR intervention. 2) Measurement of peripheral vascular resistance (non-invasive): Using the WatchPad 300, changes in peripheral vascular resistance will be continuously measured before, during, and after the VR experience. Additionally, non-invasive continuous estimated cardiac output (esCCO) will be used to continuously measure changes in cardiac output (esCCO) before, during, and after the VR experience. Pulse wave transmission time (PWTT), an indicator of peripheral vasoconstriction, will also be calculated. These measurements will quantify the effects of the green VR environment on cardiac function and vascular tone. 3) Heart rate variability analysis (non-invasive): Using my Beat, record and analyse heart rate variability (HRV) before, during, and after the VR experience to evaluate changes in sympathetic/parasympathetic balance. Objectively assess the impact of VR intervention on the autonomic nervous system through fluctuations in HRV parameters (e.g., LF/HF ratio). 4) Tissue blood flow and oxygenation measurement (non-invasive): Using NIRO200nx, continuously measure changes in cerebral blood flow and oxygenation before, during, and after the VR experience. Record changes in blood flow dynamics in the prefrontal cortex due to green VR exposure from variations in tissue oxygenation index (TOI) and tissue haemoglobin index (nTHI), and evaluate the impact on the central nervous system in the stress response.	—

Measure

Time frame

1) Measurement of biochemical stress markers (minimally invasive): Saliva samples are collected from subjects before and after the VR experience. Using the SOMA CUBE Reader, concentrations of salivary cortisol, secretory immunoglobulin A (sIgA), secretory immunoglobulin G (sIgG), and amylase are measured. Changes in these biomarkers will be analysed to evaluate alterations in stress responses and immune responses following VR intervention. 2) Measurement of peripheral vascular resistance (non-invasive): Using the WatchPad 300, changes in peripheral vascular resistance will be continuously measured before, during, and after the VR experience. Additionally, non-invasive continuous estimated cardiac output (esCCO) will be used to continuously measure changes in cardiac output (esCCO) before, during, and after the VR experience. Pulse wave transmission time (PWTT), an indicator of peripheral vasoconstriction, will also be calculated. These measurements will quantify the effects of the green VR environment on cardiac function and vascular tone. 3) Heart rate variability analysis (non-invasive): Using my Beat, record and analyse heart rate variability (HRV) before, during, and after the VR experience to evaluate changes in sympathetic/parasympathetic balance. Objectively assess the impact of VR intervention on the autonomic nervous system through fluctuations in HRV parameters (e.g., LF/HF ratio). 4) Tissue blood flow and oxygenation measurement (non-invasive): Using NIRO200nx, continuously measure changes in cerebral blood flow and oxygenation before, during, and after the VR experience. Record changes in blood flow dynamics in the prefrontal cortex due to green VR exposure from variations in tissue oxygenation index (TOI) and tissue haemoglobin index (nTHI), and evaluate the impact on the central nervous system in the stress response.

—

Countries

Japan

Contacts

Public ContactHIDETAKA KURODA

KANAGAWA DENTAL UNIVERSITY Department of Anesthesiology, Division of Dental Anesthesiology

kuroda@kdu.ac.jp0468228751

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026