The Effects of Heart Rate Monitoring on Ratings of Perceived Exertion and Attention Allocation in Individuals of Varying Fitness Levels

Braun-Trocchio, Robyn; Williams, Ashlynn; Harrison, Kaitlyn; Warfield, Elizabeth; Renteria, Jessica

doi:10.3389/fspor.2021.798941

Cited by 3 publications

(3 citation statements)

References 36 publications

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“…Furthermore, RPE corresponds to the HR range of a healthy young male (60-−200 beats/min) and HR can be predicted by multiply the RPE value by 10. Recently, Braun-Trocchio et al ( 8 ) found that participants' HR and RPE both increased linearly with time and effort during a stepping task. This finding demonstrates that estimations of an individual's RPE can be reliably obtained using HR values.…”

Section: Introductionmentioning

confidence: 99%

Actual vs. perceived exertion during active virtual reality game exercise

Stewart

Villaneuva²,

Hahn³

et al. 2022

Front. Rehabilit. Sci.

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BackgroundVirtual exercise has become more common as emerging and converging technologies make active virtual reality games (AVRGs) a viable mode of exercise for health and fitness. Our lab has previously shown that AVRGs can elicit moderate to vigorous exercise intensities that meet recommended health benefit guidelines. Dissociative attentional focuses during AVRG gameplay have the potential to widen the gap between participants' perception of exertion and actual exertion.ObjectiveThe aim of this study was to determine actual exertion (AEx) vs. perceived exertion (PEx) levels during AVRGs by measuring heart rate (HR) and ratings of perceived exertion (RPE) in two different settings.Materials and methodsHR and RPE were collected on participants (N = 32; age 22.6 ± 2.6) during 10 min of gameplay in LabS and GymS using the HTC VIVE with the following games played: Fruit Ninja VR (FNVR), Beat Saber (BS), and Holopoint (HP).ResultsParticipants exhibited significantly higher levels of AEx compared to reported PEx for all three AVRGs (Intensity): FNVR [AEx = 11.6 ± 1.8 (Light), PEx = 9.0 ± 2.0 (Very Light)], BS [AEx = 11.3 ± 1.7 (Light), PEx = 10.3 ± 2.1 (Very Light)], HP [AEx = 13.1 ± 2.3 (Somewhat Hard), PEx = 12.3 ± 2.4 (Light–Somewhat Hard)]. Additionally, participants playing in the GymS experienced significantly higher levels of AEx [12.4 ± 2.3 (Light–Somewhat Hard)] and PEx [10.8 ± 2.5 (Very Light–Light)] compared to the LabS [AEx = 11.6 ± 1.8 (Light), PEx = 10.3 ± 2.6 (Very Light–Light)].ConclusionPerceptions of exertion may be lower than actual exertion during AVRG gameplay, and exertion levels can be influenced by the setting in which AVRGs are played. This may inform VR developers and health clinicians who aim to incorporate exercise/fitness regimens into upcoming ‘virtual worlds' currently being developed at large scales (i.e., the “metaverse”).

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Section: Introductionmentioning

confidence: 99%

Actual vs. perceived exertion during active virtual reality game exercise

Stewart

Villaneuva²,

Hahn³

et al. 2022

Front. Rehabilit. Sci.

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“…Also, sleep quality could be a confounding variable that may influence the relationship between examined variables [48] but which could not be evaluated here. Likewise, a direct measure of heart rate response during the 20 m incremental shuttle run test (Course Navette test) could be a relevant indicator of an individual's physical fitness level [49]. Both should be considered in future studies.…”

Section: Limitations and Future Perspectivesmentioning

confidence: 99%

Lifestyle Behaviours, Self-Esteem and Academic Performance in Primary Education Students—A Structural Equation Model According to Sex and School Type

Villodres,

Salvador-Pérez,

Chacón-Cuberos

et al. 2023

Children

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(1) Background: The present study aimed to examine the relationship between physical activity (PA), screen time (ST), maximal oxygen uptake (VO2max), Mediterranean diet (MD) adherence, self-esteem (SE) and academic performance (AP) in primary education students. In order to address this aim, an explanatory model was developed to examine the existing relationships between PA, ST, VO2max, MD adherence, SE and AP. Further, the proposed structural model was examined via multi-group analysis as a function of sex and school type. (2) Methods: A non-experimental, descriptive, comparative and cross-sectional study was designed with a total sample of 269 Spanish students (11.29 ± 0.62). Validated questionnaires were administered to collect data on study variables. (3) Results: Relative to boys, girls reported better academic grades and showed a stronger positive relationship between MD adherence and AP, MD adherence and PA, and VO2max and SE. Likewise, girls showed a stronger negative relationship between ST and VO2max, and ST and MD adherence. At the same time, mixed funding school (MFS) students reported higher PA engagement than state school (SS) students. However, SS students reported better MD adherence, ST and AP than MFS students. Further, a stronger positive relationship was found in SS students between MD adherence or VO2max and SE than in MFS students. Also, within the former group, ST was more negatively related to MD adherence and VO2max. (4) Conclusions: Scientific and educational communities must develop future strategies that consider potential determinants in order to target more desirable outcomes.

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“…Wearable smartwatches and fitness trackers have tremendously grown in commercial popularity within the last two decades (Braun-Trocchio et al, 2022). It is no secret that wearable technology companies continually add and utilize more sensors in their devices (Ringuet-Riot et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

An Examination of WHOOP Fitness Bands in College Athletics

Romano,

Etim-Andy

2023

JCSS

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Wearable technology is novice and beneficial in its ability to retrieve real-time data with minimal hindrance to the performance and mobility of its users. WHOOP fitness band capture physiological metrics and turns them into three metrics: strain, sleep, and recovery. These metrics allow for personalized and monitoring of training metrics to help guide workload. WHOOP bands were distributed to 56 division II collegiate athletes participating in three sports: softball (15), women's lacrosse (15), and baseball (25). Women’s Lacrosse indicated a negative correlation between the hours of sleep players received the day before a game and their respiratory rate during their game (r = -0.55) and a positive correlation between the hours of exercise the day before a game and the respiratory between hours of sleep the day before and respiratory rate the day of the game (r = -0.46) and a moderate negative correlation between hours of exercise the day before a game and the respiratory rate the day of the game (r = -0.55). Baseball showed indicated a negative correlation between sleep quality the night before the game and duration of exercise the day of the game (r = -0.61). In our examination of performance metrics for three Division II athletic teams using WHOOP fitness strap, it was found that variables differed between teams. Coaches can use WHOOP fitness bands to assist in training and recovering by monitoring pre-game training load, intensity, and sleep.

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The Effects of Heart Rate Monitoring on Ratings of Perceived Exertion and Attention Allocation in Individuals of Varying Fitness Levels

Cited by 3 publications

References 36 publications

Actual vs. perceived exertion during active virtual reality game exercise

Actual vs. perceived exertion during active virtual reality game exercise

Lifestyle Behaviours, Self-Esteem and Academic Performance in Primary Education Students—A Structural Equation Model According to Sex and School Type

An Examination of WHOOP Fitness Bands in College Athletics

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