Abstract
Background/Objectives
The study considers the problem of the inclusion of people with obesity in the context of the growing role of computer-based work. Negative stereotypes about people with obesity still hold even when they are irrelevant in tasks that require little physical activity.
Subjects/Methods
Using data from the realm of competitive video gaming (eSports) and image recognition-based metric of body mass index metric derived from artificial intelligence, we examine the individual performance depending on weight. The sample includes 821 players and 127,533 player performance observations.
Results
For shorter tasks, individuals with normal weight performed better than individuals with obesity. For longer tasks, however, people with Class III (severe) obesity outperformed all others, and their advantage increased with task duration.
Conclusions
Our findings shed light on an understanding of how actually body features are related to objective individual performance in a competitive context.
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Data availability
The data that support the findings of this study is publicly available in HarvardDataVerse, https://doi.org/10.7910/DVN/M8ELYQ. We deleted all information that identified individuals.
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Acknowledgements
For assisting us in getting the data we are thankful to Eduard Gabdukaev.
Funding
Iuliia Naidenova and Petr Parshakov acknowledge the support of the Basic Research Program at the National Research University Higher School of Economics (HSE University).
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Parshakov, P., Naidenova, I., Assanskiy, A. et al. Obesity and individual performance: the case of eSports. Int J Obes 46, 1518–1526 (2022). https://doi.org/10.1038/s41366-022-01142-y
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DOI: https://doi.org/10.1038/s41366-022-01142-y