Evidence map›Paper›PMID 39144599›Full record

ArticleFrontiers in psychology2024

How the perfectionistic climate of a sports team predicts the athletic performance of elite athletes: a case study of the CUBAL women's basketball team.

Meng Meng, Rong-Hai Su, Kohei Kogiso, Rong-Rong Zheng, Lin Chen, Wei Wei, Wei Li, Mao-Chou Hsu

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Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Meng MengDepartment of Physical Education, Xiamen University, Xiamen, China.
Rong-Hai SuCollege of Physical Education and Sports, Beijing Normal University, Beijing, China.
Kohei KogisoGraduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
Rong-Rong ZhengCollege of Physical Education and Sports, Beijing Normal University, Beijing, China.
Lin ChenSchool of Physical Education, Education University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Wei WeiCollege of Physical Education and Sports, Beijing Normal University, Beijing, China.
Wei LiGraduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
Mao-Chou HsuDepartment of Recreation Sports Management, Tajen University, Pingtung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In competitive sports, understanding how the perfectionistic climate within teams influences the performance of elite female athletes can provide valuable insights for enhancing coaching practice and athletic achievement. Based on the cognitive appraisal theory of stress, this study constructs a dual-path model using stressors and coping strategies as mediators, referred to as the Perfectionistic Climate on Athletic Performance model (PCPM). The study explores the predictive role of the perfectionistic climate within sports teams on the athletic performance of elite female basketball players. Methods: The empirical study the relationships among the variables in the model using a sample of 125 core players from the top-level women's basketball teams in the 24th CUBAL24 tournament in 2022. A Structural Equation Modeling (SEM) analysis was conducted using AMOS 20.0, primarily employing the bias-corrected Bootstrap method to test the dual-path model. Results: The findings reveal double-edged paths towards a perfectionistic climate on athletic performance. In the positive pathway, a perfectionistic climate can positively predict athletic performance through challenge-related sources of stress and positive coping strategies. In the negative pathway, a perfectionistic climate can negatively predict athletic performance through threat-related sources of stress and negative coping strategies. Conclusion: Coaches need to pay attention to athletes' cognitive evaluations of the perfectionistic climate as a source of pressure. By setting challenging goals, coaches can guide athletes to view the perfectionistic climate of the sports team as a source of challenging pressure, thus unleashing their potential. Coaches should actively guide athletes in coping with the pressure brought about by the perfectionistic climate, enhancing their ability to handle stress. This will enable athletes to better adapt to the team's perfectionistic climate and further improve individual and team athletic performance.

Indexed as

athletic performancechallenge stressorscoping strategiesperfectionistic climatethreat stressors

Identifiers

PMID39144599
PMCPMC11322138

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.