Examining Energy Expenditure in Youth Using XBOX Kinect: Differences by Player Mode

Barkman, Jourdin; Pfeiffer, Karin A.; Diltz, Allie; Peng, Wei

doi:10.1123/jpah.2016-0016

Cited by 13 publications

(18 citation statements)

References 8 publications

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“…In accordance with the findings obtained in this study, previous studies that used the Nintendo Wii (Wii Sports or Just Dance), Xbox Kinect (Kinect Sports or Kinect Adventures), and Dance Dance Revolution reported similar results, with a higher energy expenditure in boys than in girls. Most of the previous studies that investigated AVG used an indirect calorimetry by using a portable metabolic analyzer to measure energy expenditure [ 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 ], but also a SenseWear ® armband was used [ 55 , 56 , 57 ]. Other studies monitored activity using accelerometers or recorded heart rate and estimated energy expenditure [ 58 , 59 , 60 ].…”

Section: Discussionmentioning

confidence: 99%

Assessment of Active Video Games’ Energy Expenditure in Children with Overweight and Obesity and Differences by Gender

Comeras-Chueca

Villalba-Heredia

Pérez-Llera

et al. 2020

IJERPH

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(1) Background: Childhood obesity has become a main global health problem and active video games (AVG) could be used to increase energy expenditure. The aim of this study was to investigate the energy expenditure during an AVG intervention combined with exercise, differentiating by gender. (2) Methods: A total of 45 children with overweight or obesity (19 girls) performed an AVG intervention combined with exercise. The AVG used were the Xbox Kinect, Nintendo Wii, dance mats, BKOOL cycling simulator, and Nintendo Switch. The energy expenditure was estimated from the heart rate recorded during the sessions and the data from the individual maximal tests. (3) Results: The mean energy expenditure was 315.1 kilocalories in a one-hour session. Participants spent the most energy on BKOOL, followed by Ring Fit Adventures, Dance Mats, Xbox Kinect, and the Nintendo Wii, with significant differences between BKOOL and the Nintendo Wii. Significant differences between boys and girls were found, but were partially due to the difference in weight, VO2max, and fat-free mass. (4) Conclusions: The energy expenditure with AVG combined with multi-component exercise was 5.68 kcal/min in boys and 4.66 kcal/min in girls with overweight and obesity. AVG could be an effective strategy to increase energy expenditure in children and adolescents with overweight and obesity.

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Section: Discussionmentioning

confidence: 99%

Assessment of Active Video Games’ Energy Expenditure in Children with Overweight and Obesity and Differences by Gender

Comeras-Chueca

Villalba-Heredia

Pérez-Llera

et al. 2020

IJERPH

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“…Energy costs of physical activities were extracted from recent publications in JPAH ( 22 – 33 ). BMR was estimated by the Schofield prediction equation ( 21 ) and used to compute MET y values.…”

Section: Methodsmentioning

confidence: 99%

A Youth Compendium of Physical Activities

Butte

Watson

Ridley

et al. 2018

Medicine &Amp; Science in Sports &Amp; Exercise

248

107

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Purpose A Youth Compendium of Physical Activities (Youth Compendium) was developed to estimate the energy costs of physical activities using data on youth only. Methods Based on a literature search and pooled data of energy expenditure measurements in youth, the energy costs of 196 activities were compiled in 16 activity categories to form a Youth Compendium of Physical Activities. To estimate the intensity of each activity, measured oxygen consumption (V̇O2) was divided by basal metabolic rate (Schofield age-, sex- and mass-specific equations) to produce a youth MET (METy). A mixed linear model was developed for each activity category to impute missing values for age ranges with no observations for a specific activity. Results This Youth Compendium consists of METy values for 196 specific activities classified into 16 major categories for four age groups, 6–9, 10–12, 13–15, and 16–18 years. METy values in this Youth Compendium were measured (51%) or imputed (49%) from youth data. Conclusion This Youth Compendium of Physical Activities uses pediatric data exclusively, addresses the age-dependency of METy and imputes missing METy values and thus represents advancement in the physical activity research and practice. This Youth Compendium will be a valuable resource for stakeholders interested in evaluating interventions, programs, and policies designed to assess and encourage physical activity in youth.

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“…Most studies involving exergames investigated the acute and chronic effects on caloric expenditure (Barkman et al, 2016), motor aspects (Collado-Mateo et al, 2017), and cognitive function (Garcia et al, 2016; Stanmore et al, 2017) in different healthy and clinical populations (Dos Santos Mendes et al, 2012; Collado-Mateo et al, 2017). However, less is known about the physiological responses during an exergame session, especially regarding oxygen uptake () and heart rate (HR).…”

Section: Introductionmentioning

confidence: 99%

Profiling exercise intensity during the exergame Hollywood Workout on XBOX 360 Kinect®

Viana

Vancini

Vieira

et al. 2018

PeerJ

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BackgroundDespite the increasing popularity of exergame practice and its promising benefits in counteracting physical inactivity, limited research has been performed to document the physiological responses during an exergame session. This study aims (i) to investigate the responses of heart rate (HR) and oxygen uptake () during an exergame session and to compare with HR and measured during joystick session and (ii) to compare HR and obtained during exergame and joystick session with those HR and associated with first and second ventilatory thresholds (VT1 and VT2, respectively) obtained during a maximal graded exercise test.MethodsA total of 39 participants performed a maximal graded exercise test to determine maximal oxygen uptake (), VT1, and VT2. On separate days, participants performed an exergame and traditional sedentary game (with a joystick) sessions. The time that participants remained with HR and below the VT1, between the VT1 and VT2 and above the VT2 were calculated to determine exercise intensity.ResultsHeart rate and were below VT1 during 1,503 ± 292 s (86.1 ± 16.7%) and 1,610 ± 215 s (92.2 ± 12.3%), respectively. There was an increase in HR and as a function of exergame phases, since HR mean values in the ‘warm-up’ period (119 ± 13 bpm) were lower than the ‘main phase’ (136 ± 15 bpm) and ‘cool-down’ periods (143 ± 15 bpm) (p < 0.001). Regarding values, the ‘warm-up’ (25.7 ± 2.9 mL.kg−1.min−1) were similar to the ‘main phase’ (25.1 ± 2.8 mL.kg−1.min−1) (p > 0.05) and lower than the ‘cool-down’ (28.0 ± 4.8 mL.kg−1.min−1) (p < 0.001). For all times of the joystick session, average HR and were below the VT1 levels.ConclusionExergames can be classified as light to moderate exercise. Thus, exergames could be an interesting alternative to traditional forms of exercise.

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Examining Energy Expenditure in Youth Using XBOX Kinect: Differences by Player Mode

Cited by 13 publications

References 8 publications

Assessment of Active Video Games’ Energy Expenditure in Children with Overweight and Obesity and Differences by Gender

Assessment of Active Video Games’ Energy Expenditure in Children with Overweight and Obesity and Differences by Gender

A Youth Compendium of Physical Activities

Profiling exercise intensity during the exergame Hollywood Workout on XBOX 360 Kinect®

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