Virtual Reality Fitness (VRF) for Behavior Management During the COVID-19 Pandemic: A Mediation Analysis Approach.

BACKGROUND: During the COVID-19 pandemic, cellphone health apps and virtual reality fitness for treating neurological disorders such as Parkinson's were beneficial. Virtual reality has been used to treat PTSD, depression, anxieties, dementia, ADHD, dyslexia, and pain control in various settings. Virtual reality exercise has been studied for its effects on biological, mental, rehabilitation, behavior, and attitude management.
PURPOSE: This research aimed to find out the role of virtual reality fitness (VRF) for behavior management during the COVID-19 pandemic concerning the demographic characteristics of the study participants and the use of fitness and health apps.
METHODS: The population for the current study was Chinese residents across China who were in home isolation during the early pandemic in China. According to the study objective, a convenience sampling method was used to collect the primary data through an online survey. SPSS-25 statistical software was used to analyze the demographic information and clean and prepare the data to test all proposed hypotheses. The proposed research framework was examined using the structural equation modeling (SEM) approach through SmartPLS 3.0 software.
RESULTS: The structural equation model analysis shows that all the proposed hypotheses (H1: β = 0.137, t = 10.454, p = <0.000; H2: β = 0.256, t = 16.824, p = <0.000; H3: β = 0.418, t = 27.827, p = <0.000; H4: β = 0.133, t = 8.913, p = <0.000; H5: β = 0.076, t = 4.717, p = <0.000; H6: β = 0.162, t = 10.532, p = <0.000; H7: β = 0.384, t = 26.645, p = <0.000) are confirmed.
CONCLUSION: Fitness and health apps with virtual reality fitness play a substantial role in improving the overall quality of life and positively influencing behavior and attitude.

Introduction

The Cambridge Dictionary defines virtual reality (VR) as “a combination of visuals and audio computer - generated that appear to depict a location or a scenario in which a human can participate1”. Virtual reality applications have been created for various objectives, including pleasure, learning, commerce, and medical. Virtual reality has been employed to promote mental wellbeing in various settings. Stress, fears, shock, anorexia nervosa, alcohol misuse, social phobia, post-traumatic anxiety, dementia, chronic depression, psychotic, despair, and dyslexia have all been successfully treated with VR-based techniques, according to recent studies.2,3 Electronic media’s reducing prices and expanding ease and strength are causing a transformation in medicine, and technological advances are influencing how we give and get treatment. In an empirically based atmosphere, virtual reality can be used to test neural correlates, feelings, and actions. The detailed presentation and monitoring of continuous visual inputs underpin VR’s accuracy. Furthermore, virtual worlds can deliver precise estimation by simulating circumstances that blend the safety of experimental data with the realism of everyday life.4 People may experience a great deal of embodiment (the emotional experience of “being in it”) in interactive virtual scenarios, another key added advantage of virtual reality.5

Virtual reality allows for modifying the surroundings, which can modify the ambient factors that cause discomfort in individuals with mental illnesses, promoting learning to manage their issues6 effectively.6 In treating depressive illnesses, virtual reality therapy is becoming more common. Conversely, the minimal study has been conducted on the effects of virtual training on stress and depressed behaviors. Virtually training helps relieve anxious and depression-related feelings. Positive benefits, such as vitality and pleasure, rose after virtual reality training, while detrimental consequences (such as exhaustion and stress) decreased.7 Children undergoing surgery might benefit from an immersive virtual game to simulate a preparatory operation. The kids in the virtual reality enrichment group played a five-minute game. They witnessed the surgical treatment and an aesthetic initiation in a digital world one hour before entering the surgery theatre. The results showed that students in the gaming group had much fewer anxiety symptoms than the control subjects. Furthermore, children in the stimulation condition had a clause during an aesthetic initiation. The full impact of gaming and virtual reality immersion helped decrease stress in pediatric patients.8

Conventional psychological therapies have lately been changed to digital or telemedicine versions to increase access to psychological services.9 Online psychological self-help therapies can be delivered anywhere, removing logistical and geographical limitations to care delivery. Consequently, they are frequently less costly and time-consuming than traditional treatments, resulting in a reduced burden on the health system and considerable improvements in identity procedures. Virtual reality also plays a vital role in the e-rehabilitation of various diseases patients such as Parkinson disease (PD)10–13. Virtual reality (VR) in interactive computer games and exergaming can be utilized as a supplement to traditional therapy methods. Virtual reality activities could be used as a supplement to traditional activities to improve joint mobility and neuroplasticity. Virtual reality-based activities could help people improve their motor skills by mixing physical and cognitive instruction in a pleasant and engaging way.14 WHO announced several preventive measures for active living during the isolation period of the COVID-19, including physical exercise, health monitoring, wearing a mask, frequently washing hands, and avoiding unnecessary travel.15,16 Covid-19 impacts people’s emotional and physical health and an elevated factor of loneliness in their lives due to a lack of interaction with other social beings. They also mention how digital technology reduces lockdown loneliness; various online technologies have been employed in pandemics to keep the globe running. More technologies and social applications are being developed during the epidemic to combat loneliness. The employment of these technologies has both positive and negative aspects. Many people lack sufficient knowledge and access to digital technology, necessitating action by providing them with skills and access.17,18

COVID-19 and Psychological Health

Multiple researchers have discovered a high incidence of disease outbreak depressive symptomatology and mental trauma due to this outbreak.19 The higher incidence of worry and pressure diseases could be entirely due to the outbreak, such as anxieties of contracting the virus or generalized feelings of uncertainty.20 According to a meta-analysis of prior coronavirus illnesses, a negative state, panic, disorientation, and decreased cognition were usual signs of the active infection of past coronavirus illnesses. Patients should heal from mental conditions without suffering mental illness if SARS-CoV-2 follows the same path as earlier coronaviruses.21 Anxiety is a psychiatric illness marked by anxious thoughts, tense feelings, and body effects, including elevated blood pressure.22 Home quarantine due to restrictions and lockdown measures has been connected to feelings of insecurity about the future and a fear of new and undiscovered infectious agents, culminating in excessively high anxiousness.23 Furthermore, stress is linked to weariness and poor performance among healthcare workers, but boredom and loneliness are linked to rage, irritation, and bearing the brunt of confinement constraints.24 The socio-psychological effects of the COVID-19 pandemic have been revealed now. If not treated promptly and adequately with appropriate evidence-based interventions, it might have long-term negative health effects.25 Virtual reality fitness therapy has significant positive impacts on wellbeing. The impact of virtual reality-based therapies on anxiety concentrates primarily on virtual reality training, with virtual reality workouts in treating chronic diseases receiving little attention. Virtual reality training involves the addition of virtual reality abilities to conventional workout equipment such as bicycles and treadmills. Specifically, some new fitness machines include incorporated detectors that synchronize with a PC or games system, allowing players to participate in strenuous physical effort on the machine while also playing virtual reality games. Virtual reality combined with workout equipment (a.k.a. virtual reality fitness) has been shown to improve the psychological advantages of activity and raise the likelihood of lengthy commitment to exercise by workers and health experts.26 The trend of using fitness and health apps increased among the Chinese during the COVID-19 pandemic compared to before the COVID-19 pandemic (46.18% February 2019 and 89.28% February 2020).27 Patients who have conquered COVID-19 may benefit from virtual reality for physical rehabilitation and psychological assistance.28

Statement of the Study

Isolation is unusual among those who participate in social activities, and socially active people have better physical health than those who do not.29 During the COVID-19 pandemic, the computer revolution has unquestionably become essential for lowering and mitigating communal, medical, and emotional dangers and managing the brief and long influence of social separation and lockdown isolation.30 By incorporating gaming into eHealth systems, health records and behavioral changes can be made more engaging and fun.31 Virtual reality has been used to treat PTSD, depression, anxieties, dementia, ADHD, dyslexia, and pain control in various settings.32 Virtual reality exercise has been studied for its effects on biological, mental, and rehabilitative results. Virtual reality, for instance, has been suggested as a way to improve the lower extremity purpose of stroke victims.33 Virtual reality exercise has also been demonstrated to improve the balance skills of stroke patients, Parkinson’s diabetics, and youngsters with downs syndrome.34 Anxiety and depression can be treated with various approaches, including medications, activity, mindfulness, and cognitive-behavioral therapy. This research aimed to find out the role of virtual reality fitness (VRF) for behavior management during the COVID-19 pandemic concerning the demographic characteristics of the study participants and the use of fitness and health apps. Figure 1 shows the proposed relationship of the study variables and hypotheses are given below;

Figure 1

Proposed Hypotheses of the Study Conceptual Framework.

Study Hypotheses

H1: Gender has a positive association with the use of virtual reality fitness during the COVID-19 lockdown

H2: Age has a positive association with the use of virtual reality fitness during the COVID-19 lockdown

H3: Education has a positive association with the use of virtual reality fitness during the COVID-19 lockdown

H4: Occupation has a positive association with the use of virtual reality fitness during the COVID-19 lockdown

H5: Marital status has a positive association with the use of virtual reality fitness during the COVID-19 lockdown

H6: The use of fitness and health apps has a significant impact on behavior and attitude management during the COVID-19 lockdown

H7: The use of virtual reality fitness has significant impacts on behavior and attitude management during the COVID-19 lockdown

Materials and Methods

The current study was conducted in China and was exploratory in nature. The study adhered to the World Medical Helsinki Policy’s principles. Soochow University’s Ethical Committee in Suzhou, Jiangsu, approved the study before the final data collection. The participant’s participation in the study was voluntary, and informed consent was taken from the study participants prior to the study commencement.

Study Design

A convenience sampling technique was used for the collection the primary data. A population-based online cross-sectional survey () was conducted between January and March 2020. Before conducting the final survey, a pre-testing was done on 75 respondents to assess the response rate. Some questions were modified after pre-testing to get the best response rate. After the data quality check, 4300 participants’ responses were considered.

Survey Measures

The primary data was collected using a well-designed questionnaire. The questionnaire was based upon close-ended, open-ended, and Likert scale questions.

Demographic Information

Demographic questions were related to gender (male, female), age (18–19, 20–29, 30–39, 40–49, 50–59, 60 + years old), education (primary school, middle school, high school, technical and vocational college graduate, university graduate, and others) and occupation (self-employed, private companies employees, government employee, student and others).

Fitness and Health Apps

Physical activity is a natural medicine against different diseases and makes the human body’s immune system strong. WHO announced particular guidelines for physical activity during the lockdown period for staying active at home.35 Physical activity-related questions were about participation in physical activity (never, rarely, sometimes, often and always), frequency of physical activity during the COVID-19 lockdown (less than once a week, one time or more per week, every day), the place for physical activity during the COVID-19 lockdown (outdoor (in house lawns), indoor (in the room of the house) and others), duration of physical activity during the COVID-19 lockdown (less than 30 minutes, 30 to 60 minutes and 60 minutes or more) and the primary purpose of physical activity using fitness apps (anaerobic exercise, aerobic training, running and cardio fitness).

Virtual Reality Fitness (VRF) for Behavior and Attitude Management During the COVID-19

Immersive, non-immersive, and interactive virtual reality are the three varieties of virtual reality. Immersive virtual reality uses face showcases, muscle motion sensors, actual visuals, and sophisticated interface devices (eg, devoted earphones) to make an entirely virtual environment for the user. In contrast, non-immersive virtual reality uses a big-screen TV display and needs a correlating keypad, gamepad, and gamepad.7 In terms of behavior change tactics, an examination of popular applications found that most app descriptions detailed no more than four.31 Some fitness technology initiatives for behavior change are beneficial, despite a lack of theory and behavior change procedures. Technology that tracks behavior over time and displays the user’s behavior trends in a visual format, for example, has been demonstrated to have a favorable impact on health behavior.36 Virtual reality fitness for behavior and attitude management during the COVID-19 questions (The use of fitness and health apps are positively influencing the behavior and attitude during the COVID-19 isolation; Virtual reality fitness is helpful to maintain psychological wellbeing; Virtual reality fitness is beneficial in healthy and active living and the use of virtual reality fitness influence the behavior and attitude positively during the COVID-19) were asked to assess the role of virtual reality fitness for behavior and attitude among the study participants in relation with demographic information.

Data Analysis

SPSS-25 statistical software was used to present descriptive statistics of the study participants related to their demographic information (N-4300). The proposed research framework was examined using the structural equation modeling (SEM) approach for this work, and the SEM approach was employed through SmartPLS 3.0 software. SEM technique using partial least squares (PLS) was chosen in preferences for constructs and indicators.37 The SEM technique is used to measure the model assessment through discriminant and convergent validity and calculate average variance extracted values for each construct using factor loadings. Therefore, it is a multivariate analysis method to analyze the multiple relationships between variables of the conceptual model.

Results

Descriptive Statistics

Table 1 statistics show that most of the study participants (51.04%) were female and (48.95%) were male. Age distribution shows that majority of the study participants were 20–29(40.72%), 30–39(25.23%), 40–49 (19.0%), 18–19 (10.53%) and 60+ (4.74%) old. The educational division shows that a major proportion of the study participants were university graduates (30.58%), technical and vocational college graduates (26.49%), high school (23.81%), middle school (9.62%), others (4.77%), and primary school (4.72%). Occupation statistics show that the majority of the respondents were private companies employees (41.77%), students (19.79%), self-employed (17.42%), government employees (12.77%), no occupation (6.98%), retired (0.95%), and others (0.32%). Marital division shows that a major proportion of the study participants were married (62.95%) while (34.60%) were unmarried and (2.44%) others.

Table 1

Background Information of the Study Participants (N-4300)

Variables	Categorization	Frequency/Percentage
Gender	Male	2105 (48.95%)
	Female	2195 (51.04%)
Age	18–19	453 (10.53%)
	20–29	1751 (40.72%)
	30–39	1085 (25.23%)
	40–49	437 (19.0%)
	50–59	370 (8.60%)
	60+	204 (4.74%)
Education	Primary School	203 (4.72%)
	Middle School	414 (9.62%)
	High School	1024 (23.81%)
	Technical and Vocational College Graduate	1139 (26.49%)
	University Graduate	1315 (30.58%)
	Others	205 (4.77%)
Occupation	Self-employed	749 (17.42%)
	Private Companies Employee	1796 (41.77%)
	Government Employee	549 (12.77%)
	Student	851 (19.79%)
	Retired	41 (0.95%)
	No occupation	300 (6.98%)
	Others	14 (0.32%)
Marital Status	Married	2707(62.95%)
	Unmarried(single)	1488(34.60%)
	Others	105(2.44%)

Multivariate Analysis

Measurement of the Research Framework

Cronbach alpha values were used to assess the reliability of the factors and questions included in the online survey. Cronbach alpha values calculated were 0.930, 1, 1,1,1,1, 0.937, and 0.934. (See Table 2). According to Nunnally38 above 0.70 document the standardized value of Cronbach alpha for measuring the reliability. According to the standard, each factor’s Cronbach alpha is considered reliable. Confirmatory factor analysis (CFA) was used to determine the study model’s convergent and discriminant validity. According to Campbell & Fiske,39 construct validity is grounded on the multitrait-multimethod matrix used to assess convergent techniques. The composite reliability (CR) standard range value is higher than 0.70. Each construct CR values were estimated as 0.950, 1, 1,1,1,1, 0.955 and 0.953. Factor loading levels were consistently over the 0.60 criterion in this study. The standard range of average variance extracted is 0.50. The AVE values of this work are 0.826, 1, 1,1,1,1, 0.841, and 0.836, which are higher than the usual range. Discriminant validity was used to measure and describe constructs that were not theoretically related to one another. Additionally, discriminant validation provides proof of all measurements about the dissimilarity of all components. Discriminant validity involves a statistical evaluation of not statistically connected components to other factors when determining the correspondence of measures. The correlation between constructs and the Square Root of AVE values of a factor can be used to determine DV. The correlation between constructs and the Square Root of AVE values of a factor can be used to determine DV. The square root of the AVE values should be used to calculate correlations. According to the DV analysis (see Table 3), all square roots of AVEs are higher than correlation values, indicating a favorable evaluation. The multicollinearity of all elements was also examined using the variation influence factor (VIF) value. VIF must be less than ten, and a number of five is considered satisfactory. The VIF values for all formative constructs in this study are less than 5, indicating that multicollinearity is not an issue.

Table 2

Display the Measurement of Research Model with Convergent Validity (N-4300)

Constructs	Items	Loadings	VIF	Cα	SCR	AVE
Behavior and Attitude Management	BAM1	0.904	3.178	0.930	0.950	0.826
	BAM2	0.914	3.451
	BAM3	0.908	3.291
	BAM4	0.911	3.379
Gender	DI1	1.000	1.000	1.000	1.000	1.000
Age	DI2	1.000	1.000	1.000	1.000	1.000
Education	DI3	1.000	1.000	1.000	1.000	1.000
Occupation	DI4	1.000	1.000	1.000	1.000	1.000
Marital Status	DI5	1.000	1.000	1.000	1.000	1.000
Fitness and health Apps	FHA1	0.944	5.031	0.937	0.955	0.841
	FHA2	0.911	3.547
	FHA3	0.902	3.201
	FHA4	0.910	3.462
Virtual Reality Fitness	VRF1	0.910	3.377	0.934	0.953	0.836
	VRF2	0.915	3.527
	VRF3	0.916	3.613
	VRF4	0.916	3.519

Table 3

Display Discriminant Validity Analysis (N-4300)

Constructs	Age	BAM	Education	FHA	Gender	Marital Status	Occupation	VRF
Age	1.000
BAM	0.292	0.909
Education	0.257	0.413	1.000
FHA	0.334	0.575	0.443	0.917
Gender	0.376	0.356	0.342	0.356	1.000
Marital Status	0.268	0.345	0.417	0.351	0.409	1.000
Occupation	0.392	0.396	0.510	0.432	0.433	0.630	1.000
VRF	0.337	0.555	0.451	0.410	0.373	0.375	0.451	0.914

Abbreviations: BAM, Behavior and attitude management; FHA, Fitness and health apps; VRF, Virtual reality fitness.

Structural Equation Model

The current study used structural equation modeling to examine all of the hypotheses offered (SEM). The SEM technique was implemented using the smart-PLS 3.3.0 package. This study’s model fitness used the standardized-root-mean-square-residual (SRMR), chi-square, and normed fit index (NFI). Model fitness is determined using the SRMR value, a standardized-residuals index by comparing observed covariance and hypothesized matrices. A range of SRMR values of 0.08 or less can be employed. According to the results, the estimated SRMR value is 0.041, which is acceptable as a good model fit. The NFI value is 0.969, and chi-square (χ2) shows the value of 1702.878, as shown in Table 4.

Table 4

Model Fit Summary (N-4300)

Statistical Tests	Estimated Model
SRMR	0.041
d_ULS	0.258
d_G	0.069
Chi-Square	1702.878
NFI	0.969

Abbreviations: SRMR, standardized-root-mean-square-residual; d_ULS, unweighted least squares discrepancy; d_G, geodesic discrepancy; NFI, normed fit index.

The significance level of the presented hypotheses was determined using the standard beta. The beta value demonstrates how individual variables might differ from one another. Each relationship’s standardized beta (β) value was determined according to the hypothesized study model (see Table 5). The significant impacts of endogenous latent variables will be considered high if beta (β) values are high and significant. T-statistics were also utilized to check the relevance of each path’s beta value. The beta (β) value was obtained using the bootstrapping technique, which was used to determine the relevance of proposed links and analyze and evaluate their significance. Table 5 andFigure 2 show this work’s proposed structural model relationships and (β) statistics. Figure 3 shows the smartPLS-bootstrapping t-values of the study variables.

Table 5

Final Results for Standard Beta, T-Statistics and P-values (N-4300)

Hypothesis’s	Std. Beta (β)	T-Statistics	P-values	Decision
Age -> VRF	0.137	10.454	0.000	Confirmed
Education -> VRF	0.256	16.824	0.000	Confirmed
Fitness and health Apps -> BAM	0.418	27.827	0.000	Confirmed
Gender -> VRF	0.133	8.913	0.000	Confirmed
Marital Status -> VRF	0.076	4.717	0.000	Confirmed
Occupation -> VRF	0.162	10.532	0.000	Confirmed
Virtual Reality Fitness -> BAM	0.384	26.645	0.000	Confirmed

Abbreviations: VRF, Virtual reality fitness; BAM, Behavior and attitude.

Figure 2

SmartPLS SEM Results.

Figure 3

PLS-bootstrapping T-values.

The results for (H1: β = 0.137, t = 10.454, p = <0.000; H2: β = 0.256, t = 16.824, p = <0.000) statistically reveals that age and education has a significant positive impact on VRF. H3 results (β = 0.418, t = 27.827, p = <0.000) proved that fitness and health apps have a significant positive impact on BAM. The results for H4 statistically document that gender reveals a significant positive impact on VRF. According to results, H4 is supported with (β = 0.133, t = 8.913, p = <0.000) which claimed a positive association between gender and VRF. The results for H5 statistically document that marital status reveals a significant positive impact on VRF. According to results, H5 is supported with (β = 0.076, t = 4.717, p = <0.000), which claimed a positive association between marital status and VRF. The results for H6 statistically document that occupation reveals a significant positive impact on virtual reality fitness. According to results, H6 is supported with (β = 0.162, t = 10.532, p = <0.000) which claimed a positive association between occupation and VRF. The results for H7 statistically document that virtual reality fitness reveals a significant positive impact on BAM. According to results, H7 is supported with (β = 0.384, t = 26.645, p = <0.000) which claimed a positive association between VRF and BAM.

Discussion

As a tool for treating, virtual reality treatment enables individuals to amplify repetitive work and increase vision and hearing input, more exciting than traditional physical therapy while posing no serious threat or physical issues.40 Virtual reality fitness therapies can be adjusted to the clients’ needs to reduce anxiety and sadness symptoms in many circumstances. Until now, developing technologies in health promotion have piqued the public’s curiosity. Virtual reality is undoubtedly the most exciting and technically sophisticated of the new technologies that could potentially aid in the therapy of anxiety.41 More extended quarantine periods have been linked to poor mental health, including traumatic stress. Quarantine length is a significant factor of stress. Persons who have been in confinement for more than one week have demonstrated substantially more comment psychological stress than those who have been in confinement for less than ten days.42 Growing virtual reality fitness features may help steer users toward more ideal emotions even when they are not actively managing their emotional states.43 Our study results show that VRF and various demographic factors include age, education, gender, marital status, and occupation. The intention and influence of using technology for different socio-psychological and health issues are based on various factors such as performance and perceived usefulness. These factors with demographic paradigm shape our attitude towards the use of technology such as VRF and mHealth apps for health wellbeing.44 “People of all ages have been affected by the COVID-19 lockdown around the world. Strain, despair, impatience, restlessness, panic, perplexity, rage, irritation, and apathy have increased due to isolation and stress. Individuals, who have used VR technology during lockdown to relax, exercise more enthusiastically, and have a better outlook on life.45

According to the latest theory of human essentials in COVID-19 detention, unfamiliarity emphasizes several conditions, including satiating immediate physical needs, as well as the need for identity, affiliation, and social position; as a result, fear, anxiety, and frustration are all negative mental health consequences, and people are more likely to develop depression as a result.46 The mechanisms of how to persuade others to modify their behavior are explained by social cognitive theory. It implies that people do not need to try a new activity on their own; instead, we learn through watching others, with the environment, behavior, and individual thinking as of primary influences on the learning experience. When people watch a model do a task, they remember the outcome and use it to influence subsequent actions.47 The findings of our study are according to prior research and show that fitness and health apps positively impact attitude and behavior through physical exercise. The use of health and fitness apps for physical activity and wellbeing increased during the COVID-19 pandemic isolation. Exercise is a natural medicine for the human body to improve socio-psychological and physical health wellbeing. According to biological theories, exercise boosts the body’s temperature, endocrine, and corticosteroid function and stimulates the release of certain transmitters like endorphins, according to biological theories.48 Acute aerobic workouts are demonstrated to help reduce ego stress from anxious lab stimuli in men, and state anxiety was decreased dramatically in adult males immediately after a 20-minute exercise session which is further helpful in behavior and attitude management.49 Various studies results indicate that interventions for psychological health management are using VRF techniques effectively to treat autism, anxiety, depression, stress, bipolar disorder, substance abuse, schizophrenia, and panic disorders.2,3 VRF is the best technique for the self-management of mental and behavioral health. Anxiety and depression in the mental health paradigm are the most common disorders worldwide, which can be effectively managed through VRF.50,51

Virtual reality is a new technology that allows us to investigate ways to better engage people with health messaging and employ this novel method to promote healthy behaviors and advance new theories. Immersive surroundings technology replaces sensory information we receive in the real world with 3-dimensional views of the simulated space, rational responses, and real-time synchronization of one’s behaviors to create engaging, credible, and carefully regulated worlds that seem real to the users. As an advanced type of human interaction, virtual reality allows people to engage with and immerse themselves in PC virtual environments, allowing them to have a completely new physiological, mental, and social revolution. Virtual reality allows consumers to receive medical therapies or instruction as actively participating in an elevated, dynamic, and individualized virtual world, rather than as inert spectators.52 Statistical findings of our study reported that virtual reality fitness has a positive role in behavior and attitude management during the COVID-19 pandemic isolation. Similar results reported in many studies and state that virtual reality exercise has been acknowledged as a new way to encourage strength training and healthy behaviors in recent years. It is now being utilized more frequently in health promotion. Virtual reality fitness has been shown to improve the psychological effects of exercise and raise the likelihood of lengthy exercise adherence.53 Virtual reality has expanded the spectrum of psychological treatment, for example, in treating phobias.54 COVID-19 related psychiatric anguish affects a particular demographic group specifically and the interrupted psycho-social or mental health services due to the COVID-19 lockdown.55 A personalized avatar in VR is a unique feature that significantly impacts psychological health. Users can communicate with other users in real-time in virtual worlds, which are represented by personalized avatars. Avatar therapy through VRF can be helpful to maintain positive behavior during the stressful time of the COVID-19. VRET has grown in popularity as a treatment for anxiety and depression, with a growing body of evidence indicating that it is a beneficial technique for managing panic and stress symptoms.56

Conclusion

Virtual reality fitness is a relatively new technology that can be used to connect with fitness. The user is engaged in a world that displays and simulates helpful, familiar, or novel visual/auditory stimuli, which is why virtual reality is used in conjunction with exercising. Virtual reality applications have been created for various objectives, including pleasure, entertainment, commerce, and medical. In a variety of settings, virtual reality has been utilized to benefit users’ mental health. Anxiety, phobias, stress, eating disorders, substance misuse, severe anxiety, comment stress disorder, schizophrenic, chronic depression, insanity, sadness, and autistic have all been treated successfully with VR-based techniques. The COVID-19 pandemic impacted human beings’ socio-economic and psychological wellbeing negatively. The negative impacts of the COVID-19 pandemic also have drastic effects on isolated people’s behavior and attitude. Fitness and health apps with virtual reality fitness play a significant role in improving the overall quality of life and positively influencing behavior and attitude. Virtual reality fitness, mixed reality (AR), and computer games (VGs) appear to be some of the most attractive technology solutions for combating COVID-19ʹs mental health effects. VRF is the latest intervention to promote overall psychological wellbeing and VR fitness prescribing supplements or replacing traditional psychiatric care.

Limitations and Future Scope of the Study

The population for the current study was Chinese residents (+18 years old) across China who were in home isolation during the early pandemic in China and used virtual reality fitness (VRF) for behavior and attitude management. According to the study’s purpose and nature, under the non-probability sampling (NPS) strategy, the convenience sampling approach was adopted for the data collection. Convenience sampling results are difficult to repeat, and the current study’s findings are not applicable to the whole population. The Chinese government recently announced the “Internet Plus Exercise” policy for active living and wellbeing. In the light of our study findings, future research can be conducted to assess the impact of Chinese government policy “Internet Plus Exercise,” which can be a fascinating future research scope of the current study.