Evidence mapPaperPMID 41245969Full record

ArticleJournal of human kinetics2025

Impact of a Talent Development Environment on Sport Commitment: The Case of Chinese Athletes.

Xiaolong Zhang, Xin Wei

Abstract read
In one paragraph

Article in Journal of human kinetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. 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

2 authors.

Xiaolong ZhangSchool of Physical Education, Hubei University of Technology, Wuhan, China.ORCID https://orcid.org/0009-0007-0044-863X
Xin WeiSchool of Physical Education, Hubei University of Technology, Wuhan, China.ORCID https://orcid.org/0000-0001-5305-8490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to examine the effect of various factors in the talent development environment (TDE) on the sport commitment of Chinese athletes and whether this effect differed across various sport levels. We surveyed 176 Chinese athletes using a questionnaire. Stepwise regression and five-fold cross-validation were used to identify key factors in the TDE that influenced sport commitment. Multiple linear regression was then used to examine differences across sport levels. Long-term development focus had a significant positive effect on the sport commitment of sub-elite and elite athletes (p < 0.01 and p < 0.05, respectively). The support network negatively affected sport commitment only in sub-elite athletes (p < 0.01), while long-term development fundamentals positively influenced sport commitment only in elite athletes (p < 0.05). Creating a TDE that aligns with the requirements of long-term development focus is beneficial for enhancing sport commitment. The application of support networks should be directed toward long-term success while avoiding excessive emphasis on short-term success. Although the stage-specific nature of athlete development and the unique characteristics of the China's sports system may limit the immediate effect of long-term development fundamentals on sport commitment in the early stages of an athlete's career, their role in preventing burnout underscores their continued importance. This study provides a theoretical foundation and practical guidance for enhancing sport commitment and offers a potential pathway to addressing premature retirement among Chinese athletes.

Indexed as

athlete retentionChinese sports systemsub-elite and elite differentiation

Identifiers

PMID41245969
PMCPMC12612833

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.