BODY COMPOSITION OF CYBERSPORTS PLAYERS, IT SPECIALISTS AND UNTRAINED PERSONS

Luts Yu. P., Fedorchuk S. V., Oliinyk T. M., Kutsenko T. V.

BODY COMPOSITION OF CYBERSPORTS PLAYERS, IT SPECIALISTS AND UNTRAINED PERSONS


Show/Download

About the author:

Luts Yu. P., Fedorchuk S. V., Oliinyk T. M., Kutsenko T. V.

Heading:

SPORT MEDICINE

Type of article:

Scientific article

Annotation:

The article analyses the characteristics of body composition in relation to the lifestyle of esports athletes, in comparison with IT specialists and individuals who are neither engaged in video gaming nor lead an active lifestyle. The aim of the study was to determine the body composition of esports players and IT specialists in comparison with untrained individuals. The study examined 41 male participants, who were divided into three groups: the ES group (14 esports players), the IT group (13 IT specialists), and the UT group (14 untrained individuals), aged 17-25 years. All subjects underwent assessment of body composition parameters, including body weight, body mass index (BMI), body fat percentage, fat mass, fat-free body mass (FFBM), and total body water, as well as segmental analysis of the right and left arms, right and left legs, and torso (fat content, fat mass, FFBM, predicted muscle mass) using Tanita BC-418MA scales (Germany). It has been established that a proportion of esports players, IT specialists, and untrained individuals exhibit low levels of physical activity and body weight that is above or below the average for their age.

Tags:

body composition, e-athletes, IT specialist

Bibliography:

  1. Leão C, Camões M, Clemente FM, Nikolaidis PT, Lima R, Bezerra P, et al. Anthropometric Profile of Soccer Players as a Determinant of Position Specificity and Methodological Issues of Body Composition Estimation. Int J Environ Res Public Health. 2019;16(13):2386. DOI:10.3390/ijerph1613 2386.
  2. Marker C, Gnambs T, Appel M. Exploring the Myth of the Chubby Gamer: A Meta-Analysis on Sedentary Video Gaming and Body Mass. Soc. Sci. Med. 2019;301:112325. DOI: 10.1016/j.socscimed.2019.05.030.
  3. Arnaez JM, Frey G, Cothran D, Lion M, Chomistek AK, Hwang J, et al. Physical Wellness Among Gaming Adults: Cross-Sectional Study. JMIR Serious Games. 2018;6:e12. DOI: 10.2196/games.9571.
  4. Ballard M, Gray M, Reilly J, Noggle M. Correlates of Video Game Screen Time Among Males: Body Mass, Physical Activity, and other Media Use. Eat. Behav. 2009;10:161-167. DOI: 10.1016/j.eatbeh.2009.05.001.
  5. DiFrancisco-Donoghue J, Werner WG, Douris PC, Zwibel H. Esports players, got muscle? Competitive video game players’ physical ac- tivity, body fat, bone mineral content, and muscle mass in comparison to matched controls. J Sport Health Sci. 2022;11(6):725-730. DOI:10.1016/j.jshs.2020.07.006.
  6. WHO. Mean Body Mass Index (BMI). Geneva: WHO; 2025. Available from: http://www.who.int/gho/ncd/risk_factors/bmi_text/en/.
  7. Vandelanotte C, Sugiyama T, Gardiner PA, Owen N, Steele R, McConnon A. Associations of Leisure-Time Internet and Computer Use with Overweight and Obesity, Physical Activity and Sedentary Behaviors: Cross-Sectional Study. J. Med. Internet Res. 2009;11:e28. DOI:10.2196/jmir.1084.
  8. Turel O, Romashkin A, Morrison KM. Health Outcomes of Information System Use Lifestyles among Adolescents: Videogame Addiction, Sleep Curtailment and Cardio-Metabolic Deficiencies. PLoS ONE. 2016;11:e0154764. DOI: 10.1371/journal.pone.0154764.
  9. Bastien M, Poirier P, Lemieux I, Després J-P. Overview of Epidemiology and Contribution of Obesity to Cardiovascular Disease. Prog. Cardiovasc. Dis. 2014;56:369-381. DOI: 10.1016/j.pcad.2013.10.016.
  10. Cameron AJ, Magliano DJ, Shaw JE, Zimmet PZ, Carstensen B, Alberti KGM, et al. The Influence of Hip Circumference on the Relation- ship Between Abdominal Obesity and Mortality. Int. J. Epidemiol. 2012;41:484-494. DOI: 10.1093/ije/dyr198.
  11. Shin J. Joint Association of Screen Time and Physical Activity with Obesity: Findings from the Korea Media Panel Study. Osong Public Health Res. Perspect. 2018;9:207-212. DOI: 10.24171/j.phrp.2018.9.4.10.
  12. Thorp AA, Owen N, Neuhaus M, Dunstan DW. Sedentary Behaviors and Subsequent Health Outcomes in Adults. Am. J. Prev. Med.2011;41:207-215. DOI: 10.1016/j.amepre.2011.05.004.
  13. Wilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T, Gray LJ, et al. Sedentary Time in Adults and the Association With Diabetes, Cardiovascular Disease and Death: Systematic Review and Meta-Analysis. Diabetologia. 2012;55:2895-2905. DOI: 10.1007/s00125-012-2677-z.
  14. Kari T, Karhulahti VM. Do E-Athletes Move? Int. J. Gaming Comput. Simul. 2016;8:53-66. DOI: 10.4018/IJGCMS.2016100104.
  15. Pereira AM, Figueiredo P, Seabra A, Brito J. Evaluation of Physical Activity Levels in FPF Esports E-Athletes. Motricidade. 2019;15:188.
  16. Luts YuP, Lukiantseva HV. Vplyv zaniat kibersportom na parametry kompozytsiinoho skladu tila. Materialy II Mizhnarodnoi naukovo-prak- tychnoi-internet konferentsii Future of Work: Technological, Generational and Social Shifts; 2023; Dnipro; 2023. s. 121-124. [in Ukrainian].
  17. Kyle UG, Genton L, Karsegard L, Slosman DO, Pichard C. Single prediction equation for bioelectrical impedance analysis in adults aged 20–94 years. Nutrition. 2001;17(3):248-253.
  18. Rey-López JP, Vicente-Rodríguez G, Biosca M, Moreno LA. Sedentary behaviour and obesity development in children and adolescents. Nutr Metab Cardiovasc Dis. 2008;18:242-51. DOI: 10.1016/j.numecd.2007.07.008.
  19. Remmers T, Sleddens EF, Gubbels JS, De Vries SI, Mommers M, Penders J, et al. Relationship between physical activity and the development of body mass index in children. Med Sci Sports Exerc. 2014;46:177-84. DOI: 10.1249/MSS.0b013e3182a36709.
  20. Pandey A, LaMonte M, Klein L, Ayers C, Psaty BM, Eaton CB, et al. Relationship between physical activity, body mass index, and risk of heart failure. J Am Coll Cardiol. 2017;69:1129-42. DOI: 10.1016/j.jacc.2016. 11.081.
  21. DiFrancisco-Donoghue J, Balentine J, Schmidt G, Zwibel H. Managing the health of the eSport athlete: an integrated health management model. BMJ Open Sport Exerc Med. 2019;5:e000467. DOI: 10.1136/bmjsem-2018-000467.
  22. del Pozo-Cruz B, Perales F, Parker P, Lonsdale C, Noetel M, Hesketh KD, et al. Joint physical-activity/screen-time trajectories during early childhood: socio-demographic predictors and consequences on health-related quality-of-life and socio-emotional outcomes. Int J Behav Nutr Phys Act. 2019;16:1-13. DOI: 10.1186/s12966-019-0816-3.
  23. Güney Ş, Şahin FN, Arslanoğlu C, Güler Ö, Aydoğmuş M, Doğan A, et al. Investigation of the playing digital games on shoulder flexibility, muscle strength and reaction speed in volleyball players. Front Public Health. 2024;12:1493900. DOI: 10.3389/fpubh.2024.1493900.
  24. Tholl C, Bickmann P, Wechsler K, Froboese I, Grieben C. Musculoskeletal disorders in video gamers–a systematic review. BMC Musculoskelet Disord. 2022;23:1-16. DOI: 10.1186/s12891-022-05614.
  25. World Health Organization. Global status report on physical activity 2022. Geneva: WHO; 2022. Available from: https://www.who.int/teams/health-promotion/physical-activity/global-status-report-on-physical-activity-2022.

Publication of the article:

«Bulletin of problems biology and medicine», 2025 Issue 3,178, 507-515 pages, index UDC 796:004+616-071.3+796.077.2(045)

DOI:

10.29254/2077-4214-2025-3-178-507-515

Was this article helpful?

Leave a Reply

Your email address will not be published. Required fields are marked *


The reCAPTCHA verification period has expired. Please reload the page.