Evidence map›Paper›PMID 36213045›Full record

ArticleJournal of environmental and public health2022

A Grounded Theory Construction of the eSports Endogenous Drive Model.

Zhao Chen, Xiangui Bu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

  • Retraction · 2023-10-18Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Informed/Patient Consent - None/Withdrawn · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/BD4E4DAE1B23A750C7FF3A00AC7AF8
  • Retracted
5 · Who and what money

Authors and funding

2 authors.

Zhao ChenCollege of Physical Education, Zhengzhou University of Light Industry, Zhengzhou 450001, China.
Xiangui BuSchool of Competitive Sports, Shandong Sport University, Rizhao 276800, China.ORCID 0000-0002-4486-7365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

E-sports attracts a lot of time and energy from adolescents, making them happy to actively participate and even become addicted to the Internet. In order to reveal the mechanism of e-sports addiction and the mechanism of action, a model of e-sports internal drive was constructed by rooting qualitative analysis of interview data from 30 e-sports players, and the results of the study showed that the e-sports internal drive model consists of incentive setting (continuous incentive, variety of incentives, incentive can be redeemed, and incentive odds), task setting (can start over, flexible and free, can be completed, and specific goals), program setting (forming a team, simple interpersonal relationship, specific rules, timely feedback, fairness, simple operation, goal focus, quantified indicators, challenge difficulty, and training guidance), 3 dimensions, and 18 categories. The three dimensions are interrelated and synergistic eSports influencing factors. The establishment of this model enriches the relevant theories on the study of eSports endogamy and provides a reference basis for revealing the current social phenomenon of eSports game addiction among eSports players.

Indexed as

Behavior, AddictiveSportsVideo GamesAdolescentGrounded TheoryHumansInternet

Identifiers

PMID36213045
PMCPMC9546701

What OpenQuestion holds

Textmetadata
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.