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      Personalized Virtual Reality Compared With Guided Imagery for Enhancing the Impact of Progressive Muscle Relaxation Training: Pilot Randomized Controlled Trial

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          Abstract

          Background

          Empirical evidence has shown that virtual reality (VR) scenarios can increase the effects of relaxation techniques, reducing anxiety by enabling people to experience emotional conditions in more vivid settings.

          Objective

          This pilot randomized controlled study aims to investigate whether the progressive muscle relaxation technique (PMRT) associated with a personalized scenario in VR promotes psychological well-being and facilitates the recall of relaxing images more than the standard complementary intervention that involves the integration of PMRT and guided imagery (GI).

          Methods

          On the basis of a longitudinal, between-subject design, 72 university students were randomly exposed to one of two experimental conditions: (1) standard complementary procedure (PMRT and GI exposure) and (2) experimental procedure (PMRT and personalized VR exposure). Individuals were assessed by a therapist before and after 7 training sessions based on measures investigating anxiety, depression, quality of life, coping strategies, sense of presence, engagement, and side effects related to VR exposure. Heart rate data were also collected.

          Results

          Differences in changes between the 2 groups after the in vivo PMRT session conducted by the psychotherapist (T1) were statistically significant for state anxiety ( F 1,67=30.56; P<.001) and heart rate ( F 1,67=4.87; P=.01). Individuals in the VR group obtained lower scores both before ( t 67=−2.63; P=.01; Cohen d=0.91) and after ( t 67=−7.23; P<.001; Cohen d=2.45) the relaxation session when it was self-administered by participants (T2). A significant reduction in perceived state anxiety at T1 and T2 was observed for both groups ( P<.001). After the VR experience, individuals reported feeling higher engagement in the experience than what was mentioned by participants in the GI group ( F 1,67=2.85; P=.03; η p 2=0.15), and they experienced the environment as more realistic ( F 1,67=4.38; P=.003; η p 2=0.21). No differences between groups regarding sense of presence were found ( F 1,67=1.99; P=.11; η p 2=0.11). Individuals exposed before to the VR scenario (T1) referred to perceiving the scenario recalled in-imagination at T2 as more realistic than what those in the GI group experienced ( F 1,67=3.21; P=.02; η p 2=0.12). The VR group had lower trait anxiety levels than the GI group after the relaxation session during session 7 (T2; t 67=−2.43; P=.02).

          Conclusions

          Personalized relaxing VR scenarios can contribute to improving relaxation and decreasing anxiety when integrated with PMRT as a complementary relaxation method.

          Trial Registration

          ClinicalTrials.gov NCT05478941; https://classic.clinicaltrials.gov/ct2/show/NCT05478941

          International Registered Report Identifier (IRRID)

          RR2-10.2196/44183

          Related collections

          Most cited references69

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            The psychometric properties of the Depression Anxiety Stress Scales (DASS) were evaluated in a normal sample of N = 717 who were also administered the Beck Depression Inventory (BDI) and the Beck Anxiety Inventory (BAI). The DASS was shown to possess satisfactory psychometric properties, and the factor structure was substantiated both by exploratory and confirmatory factor analysis. In comparison to the BDI and BAI, the DASS scales showed greater separation in factor loadings. The DASS Anxiety scale correlated 0.81 with the BAI, and the DASS Depression scale correlated 0.74 with the BDI. Factor analyses suggested that the BDI differs from the DASS Depression scale primarily in that the BDI includes items such as weight loss, insomnia, somatic preoccupation and irritability, which fail to discriminate between depression and other affective states. The factor structure of the combined BDI and BAI items was virtually identical to that reported by Beck for a sample of diagnosed depressed and anxious patients, supporting the view that these clinical states are more severe expressions of the same states that may be discerned in normals. Implications of the results for the conceptualisation of depression, anxiety and tension/stress are considered, and the utility of the DASS scales in discriminating between these constructs is discussed.
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              Grounded cognition rejects traditional views that cognition is computation on amodal symbols in a modular system, independent of the brain's modal systems for perception, action, and introspection. Instead, grounded cognition proposes that modal simulations, bodily states, and situated action underlie cognition. Accumulating behavioral and neural evidence supporting this view is reviewed from research on perception, memory, knowledge, language, thought, social cognition, and development. Theories of grounded cognition are also reviewed, as are origins of the area and common misperceptions of it. Theoretical, empirical, and methodological issues are raised whose future treatment is likely to affect the growth and impact of grounded cognition.
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                Author and article information

                Contributors
                Journal
                JMIR Ment Health
                JMIR Ment Health
                JMH
                JMIR Mental Health
                JMIR Publications (Toronto, Canada )
                2368-7959
                2024
                30 January 2024
                : 11
                : e48649
                Affiliations
                [1 ] Department of General Psychology University of Padova Padova Italy
                [2 ] Digital Health Research, Centre for Digital Health and Wellbeing Fondazione Bruno Kessler Trento Italy
                [3 ] Human Inspired Technology Research Centre (HIT) University of Padova Padova Italy
                [4 ] Padova Neuroscience Center University of Padova Padova Italy
                [5 ] Centre for Digital Health and Wellbeing Fondazione Bruno Kessler Trento Italy
                Author notes
                Corresponding Author: Susanna Pardini susanna.pardini@ 123456phd.unipd.it
                Author information
                https://orcid.org/0000-0002-6692-8923
                https://orcid.org/0000-0002-7080-0615
                https://orcid.org/0000-0001-9266-061X
                https://orcid.org/0000-0002-4418-2673
                https://orcid.org/0000-0002-1404-1423
                https://orcid.org/0000-0003-3471-2033
                https://orcid.org/0000-0002-4537-639X
                https://orcid.org/0000-0001-7061-2932
                Article
                v11i1e48649
                10.2196/48649
                10871070
                38289673
                1c19dfed-eda1-4ee3-9ebc-afa9dab882af
                ©Susanna Pardini, Silvia Gabrielli, Silvia Olivetto, Francesca Fusina, Marco Dianti, Stefano Forti, Cristina Lancini, Caterina Novara. Originally published in JMIR Mental Health (https://mental.jmir.org), 30.01.2024.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on https://mental.jmir.org/, as well as this copyright and license information must be included.

                History
                : 2 May 2023
                : 11 August 2023
                : 7 December 2023
                : 28 December 2023
                Categories
                Original Paper
                Original Paper

                digital health,progressive muscular relaxation technique,mental well-being,virtual reality therapy,anxiety,relaxation,e-therapy,ehealth,mobile phone

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