Evidence map›Paper›PMID 40046135›Full record

ArticleFrontiers in public health2025

Comparison of body mass index and physical activity levels of e-sportsmen.

Burhan Başoğlu

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Burhan BaşoğluDepartment of Physical Education and Sports, Faculty of Sport Sciences, Nevşehir Hacı Bektaş Veli University, Nevşehir, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study examines the relationship between body mass index (BMI) and physical activity levels in e-sports players. Focusing on the sedentary lifestyle and health risks associated with prolonged sitting and low physical activity, the study highlights critical challenges within the e-sports community. Methods: Data was collected from 136 e-sports players on popular gaming platforms such as FIFA, Valorant, CS: GO and League of Legends. Physical activity levels were assessed using the International Physical Activity Questionnaire (Short Form) and participants' health status was assessed using BMI classifications. Results: The results showed a significant inverse relationship between BMI and physical activity, with obese e-sports players having significantly lower activity levels and longer periods of sedentary behavior than their peers. Male e-sports players had higher levels of physical activity than females, reflecting biological, social and cultural factors that influence physical activity behavior. Discussion: The study highlights the need for measures such as training programs, ergonomic adjustments and awareness campaigns to increase physical activity and reduce health risks among e-sports players. These findings provide valuable insights into the health effects of e-sports participation and emphasize the importance of promoting an active lifestyle to counteract the detrimental effects of prolonged sitting and inactivity. By filling gaps in the existing literature, this study contributes to the understanding of e-sports players' health behaviors and offers practical recommendations for promoting healthier habits in this growing population.

Indexed as

AthletesBody Mass IndexExerciseSportsVideo GamesAdolescentAdultFemaleHumansMaleSedentary BehaviorSurveys and QuestionnairesYoung Adultbody mass index (BMI)e-sports playersmetabolic risk factorsphysical activity levelssedentary lifestyle

Identifiers

PMID40046135
PMCPMC11879971

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.