Cited by 35Obesity, Physical Activity, DietPhysical Activity and HealthEducational Games and Gamification

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

Open access
Comeras-Chueca, Cristina, Villalba-Heredia, Lorena, Pérez-Llera, Marcos, Lozano-Berges, Gabriel, Marín-Puyalto, Jorge, Vicente-Rodríguez, Germán, Matute-Llorente, Ángel, Casajús, José A. +1 more·2020·International Journal of Environmental Research and Public Health

Abstract

(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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/ijerph17186714

Cites

64 of 64 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Playing AVGs can elicit physical activity levels of moderate intensity.

    “Several studies have also demonstrated that playing AVGs can elicit physical activity levels of moderate intensity [72, 75, 76] and have found associations with improvements in body composition, including positive effects on body mass index and body fat percentage [76, 77].”
  • Playing AVGs has been associated with improvements in body composition, including positive effects on body mass index and body fat percentage.

    “Several studies have also demonstrated that playing AVGs can elicit physical activity levels of moderate intensity [72, 75, 76] and have found associations with improvements in body composition, including positive effects on body mass index and body fat percentage [76, 77].”

    From Health Benefits of Video Games in Adolescents and Young Adults (2026) · cites this paper as [76]

    The Results (§3.3) compare energy expenditure by BMI status, while the Conclusions (§5) report moderate-intensity activity and increased energy expenditure. Neither passage reports changes in BMI or body fat percentage from playing AVGs. Searches for body composition, BMI improvements, and body fat percentage found no passage supporting the attributed effects. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Comeras-Chueca, C., Villalba-Heredia, L., Pérez-Llera, M., Lozano-Berges, G., Marín-Puyalto, J., Vicente-Rodríguez, G., Matute-Llorente, Á., Casajús, J. A., & González-Agüero, A.
Affiliations
  • Universidad de Zaragoza (ES)
  • Faculty of Health and Sport Science (FCSD), Department of Physiatry and Nursing, Universidad de Zaragoza, 50009 Zaragoza, Spain
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2020-09-15
Volume
17
Issue
18
Pages
6714
ISSN
1660-4601 (ISSN-L)
OpenAlex
W3085390197
Cited by
35
References
64
Citations by year
2026: 5 · 2025: 4 · 2024: 7 · 2023: 4 · 2022: 10 · 2021: 5
FWCI
3.56
Type
journal article
Language
en
Open access
Locations
  • International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Zaguan (University of Zaragoza Repository) (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Ministerio de Economía, Industria y Competitividad, Gobierno de España (DEP2017-85194-P)
  • Gobierno de Aragón (DGA IIU/2023/2017)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Social Sciences › Psychology › Developmental and Educational Psychology › Educational Games and Gamification
Keywords
exergames, energy expenditure, childhood obesity, childhood overweight, gender differences, exercise intervention, Kinect sensor, Nintendo Wii, heart rate monitoring, VO2max, fat-free mass
MeSH terms
Body Weight, Child, Energy Metabolism, Female, Humans, Male, Obesity, Sex Factors, Exercise, Video Games, Overweight

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review