Physiological and Metabolic Requirements, and User-Perceived Exertion of Immersive Virtual Reality Exergaming Incorporating an Adaptive Cable Resistance System: An Exploratory Study

Hu, Jonathan; Browne, Jonathan D.; Arnold, Michael L.; Robinson, A.J.; Heacock, Marin F.; Ku, Richard; Mologne, Mitchell S.; Baum, Gracie R.; Ikemiya, Kayla; Neufeld, Eric V.; Dolezal, Brett A.

doi:10.1089/g4h.2021.0031

Cited by 5 publications

(12 citation statements)

References 44 publications

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“…Games with increased effort and complexity and body motion sensing games are assigned Specific Activity code 22200 (active video game, motion sensing game/using upper-body, light-to-moderate effort; 3.0 METs) or Specific Activity code 22360 (conditioning/exercise virtual reality fitness, vigorous-intensity; 9.8 METs). 31 …”

Section: Discussionmentioning

confidence: 99%

2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities

Herrmann,

Willis,

Ainsworth

et al. 2024

Journal of Sport and Health Science

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Section: Discussionmentioning

confidence: 99%

2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities

Herrmann,

Willis,

Ainsworth

et al. 2024

Journal of Sport and Health Science

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“…A portable, lightweight (~800g) metabolic analyzer (PNOE, Palo Alto, CA), which has been previously validated ( Tsekouras et al, 2019 ) and successfully utilized in exercise research ( Browne et al, 2020 ; Robinson et al, 2020 ; Hu et al, 2021 ), was used to determine participants cardiovascular fitness (or aerobic capacity; VO 2 max) via an incremental, symptom-limited maximal treadmill exercise test. The PNOE was attached by a shoulder harness to the participants’ upper back while wearing a standard facemask and head support (Hans Rudolph, Inc., Shawnee, KS).…”

Section: Methodsmentioning

confidence: 99%

Lifestyle Modification Using a Wearable Biometric Ring and Guided Feedback Improve Sleep and Exercise Behaviors: A 12-Month Randomized, Placebo-Controlled Study

et al. 2021

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Purpose: Wearable biometric monitoring devices (WBMD) show promise as a cutting edge means to improve health and prevent disease through increasing accountability. By regularly providing real-time quantitative data regarding activity, sleep quality, and recovery, users may become more aware of the impact that their lifestyle has on their health. The purpose of this study was to examine the efficacy of a biometric tracking ring on improving sleep quality and increasing physical fitness over a one-year period.Methods: Fifty-six participants received a biometric tracking ring and were placed in one of two groups. One group received a 3-month interactive behavioral modification intervention (INT) that was delivered virtually via a smartphone app with guided text message feedback (GTF). The other received a 3-month non-directive wellness education control (CON). After three months, the INT group was divided into a long-term feedback group (LT-GTF) that continued to receive GTF for another nine months or short-term feedback group (ST-GTF) that stopped receiving GTF. Weight, body composition, and VO2max were assessed at baseline, 3months, and 12months for all participants and additionally at 6 and 9months for the ST-GTF and LT-GTF groups. To establish baseline measurements, sleep and physical activity data were collected daily over a 30-day period. Daily measurements were also conducted throughout the 12-month duration of the study.Results: Over the first 3months, the INT group had significant (p<0.001) improvements in sleep onset latency, daily step count, % time jogging, VO2max, body fat percentage, and heart rate variability (rMSSD HRV) compared to the CON group. Over the next 9months, the LT-GTF group continued to improve significantly (p<0.001) in sleep onset latency, daily step count, % time jogging, VO2max, and rMSSD HRV. The ST-GTF group neither improved nor regressed over the latter 9months except for a small increase in sleep latency.Conclusion: Using a WBMD concomitantly with personalized education, encouragement, and feedback, elicits greater change than using a WBMD alone. Additionally, the improvements achieved from a short duration of personalized coaching are largely maintained with the continued use of a WBMD.

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“…While the effects of this study's IVR exergaming platform have been studied within the realm of laboratory-based fitness and performance measures, the effects on field-based fitness measures are lacking (Hu et al, 2021;Viana et al, 2021;Gomez et al, 2022;Mologne et al, 2022). The few prior studies that have been conducted show improvements in agility, balance, and speed as a result of exergaming interventions in populations such as the elderly, those with cognitive disabilities, and those with cancer diagnoses (Smits-Engelsman et al, 2017;de Oliveira et al, 2020;Peng et al, 2020).…”

Section: Introductionmentioning

confidence: 97%

“…Exergames, especially in conjunction with immersive virtual reality (IVR), aim to attenuate perceived exertion while maximizing exercise enjoyment, all while increasing motivation during the workout (Bonetti et al, 2010;Bronner et al, 2016;McClure and Schofield, 2020). Prior studies within this laboratory have shown the efficacy of IVR exergaming within both the commercial and home fitness sectors in young, apparently healthy populations (18-35 years) (Hu et al, 2021;Gomez et al, 2022;Mologne et al, 2022). Hu et al showed that even a 30-min workout with the IVR exergame platform provided a highly intense workout, with mean average heart rate of 176 bpm, a mean max heart rate of 188 bpm, and a mean of 12.9 METs per session, without high levels of perceived exertion (Hu et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Prior studies within this laboratory have shown the efficacy of IVR exergaming within both the commercial and home fitness sectors in young, apparently healthy populations (18-35 years) (Hu et al, 2021;Gomez et al, 2022;Mologne et al, 2022). Hu et al showed that even a 30-min workout with the IVR exergame platform provided a highly intense workout, with mean average heart rate of 176 bpm, a mean max heart rate of 188 bpm, and a mean of 12.9 METs per session, without high levels of perceived exertion (Hu et al, 2021). A subsequent study revealed that the IVR exergame platform elicited myoelectric activity on par with traditional cable resistance training (Gomez et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Field-based fitness measures improve via an immersive virtual reality exergaming platform: a randomized controlled trial

Mologne,

Yamamoto,

Viggiano

et al. 2024

Front. Virtual Real.

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While there has been a recent onslaught of traditional lab-based fitness measures in immersive virtual reality (IVR) exergaming research, there remains a paucity in the field-based fitness domain, which refers to assessments made outside a formal laboratory setting which are easier, cheaper, and have more practical application. This study aimed to assess changes in field-based fitness tests including the 1-mile run, 20-m dash, multiple single-leg hop-stabilization test, Abalakov jump, and 5-10-5 Pro Agility test during a 1-month workout protocol and to compare differences between groups assigned to either an IVR machine-directed exergaming platform or a traditional, self-directed cable-resistance training control (SELF). Eighteen (7 females) college-aged participants with little resistance training experience were randomized to IVR or SELF and worked out thrice weekly for 4 weeks (12 sessions). Wilcoxon rank-sum tests were performed for continuous variables to assess significance. Compared to SELF, the IVR group had significantly better performance improvements in 20 m dash (−0.1s vs. 0.0s, p = 0.022), 5-10-5 Pro Agility Test (−0.1s vs. −0.0s, p = 0.003), Abalakov Jump (5.8 cm vs. 2.0 cm, p = 0.0013), 1-Mile Run (−11.0s vs. −2.0s, p = 0.008), and Multiple Single-Leg Hop-Stabilization Test with their dominant (−9.0s vs. 1.0s, p = 0.0015) and non-dominant (−8.0s vs. 1.0s, p = 0.003) legs. This training study demonstrates that IVR exergaming, more so than those that traditionally resistance train (SELF), can improve many field-based fitness components including agility, balance and stability, speed/acceleration, cardiovascular endurance, and lower-body power.

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Physiological and Metabolic Requirements, and User-Perceived Exertion of Immersive Virtual Reality Exergaming Incorporating an Adaptive Cable Resistance System: An Exploratory Study

Cited by 5 publications

References 44 publications

2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities

2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities

Lifestyle Modification Using a Wearable Biometric Ring and Guided Feedback Improve Sleep and Exercise Behaviors: A 12-Month Randomized, Placebo-Controlled Study

Field-based fitness measures improve via an immersive virtual reality exergaming platform: a randomized controlled trial

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