Evidence map›Paper›PMID 40276298›Full record

ReviewPeerJ2025

An integrated health management model to improve the health of professional e-sports athletes: a literature review.

Yunxuan Mi, Siyuan Zhao, Fangyuan Ju

Abstract readReview
In one paragraph

Review in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Observational
  4. 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

3 authors.

Yunxuan MiCollege of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China.
Siyuan ZhaoFaculty of Humanities and Arts, Macau University of Science and Technology, Macau, China.
Fangyuan JuCollege of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the rapid development of the esports industry, an increasing number of esports athletes face various health issues due to occupational characteristics such as a prolonged sedentary lifestyle, high-intensity training, and multi-cycle competitions. Effectively managing and improving the health status of esports athletes has become an urgent need. As a systematic and multidisciplinary collaborative management strategy, the Integrated Health Management Model has been widely applied to various occupational groups, but its application among esports athletes has not yet been systematically reviewed. Methodology: This study adopted a narrative literature review method to collect and analyze the existing literature on the health issues and health management of esports athletes. This study aimed to identify the major health problems of esports athletes and explore the role of the Integrated Health Management Model in improving and preventing these health problems. Results: This study resulted in two main findings: (1) The main health issues faced by esports athletes include musculoskeletal disorders, visual fatigue, metabolic disorders, and psychological stress; (2) the Integrated Health Management Model, through the integration of physical activity and fitness training, psychological counseling, ergonomic optimization, vision protection, and health education, can effectively alleviate common health problems among esports athletes and promote overall health improvement. Conclusion: The Integrated Health Management Model can effectively improve the overall health level of esports athletes through the integration and synergy of multiple strategies.

Indexed as

AthletesHumansMusculoskeletal Diseasese-Sports athletesHealth managementHealth risksProfessional e-Sports

Identifiers

PMID40276298
PMCPMC12020735

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.