1,184
Views
18
CrossRef citations to date
0
Altmetric
PSYCHOLOGY, SOCIAL SCIENCES AND HUMANITIES

Motivational patterns in persistent swimmers: A serial mediation analysis

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon show all
Pages 660-669 | Published online: 20 Oct 2019
 

Abstract

Objective: The main objective of the present study was to examine the associations between coach-created task-involving climate and athletes’ intentions to continue practicing sport, through a serial mediation analysis that included basic psychological needs satisfaction (BPN), self-determined motivation (SDM) and enjoyment. Methods: Seven-hundred and ninety-nine elite swimmers (450 males, 349 females; aged 12–22 years, M = 16.65, SD = 2.83) participated in the present study. Groups were created according to age, years of experience, and gender. Results: Serial mediation analysis provided support for the proposed model where BPN's and enjoyment represent the most important mediators between task-involving climate and athletes’ intentions to continue sport practice. Conclusion: Enjoyment stands out as the most relevant predictor of intention to persist and as a significant mediator in the relation between task-involvement climate, BPN, SDM, and long-term sports practice. The task-involving climate created by coaches appears to set in motion a sequence where the satisfaction of basic needs and SDM lead to more enjoyment and increased persistence among young athletes.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by national funds through the Portuguese Foundation for Science and Technology, I.P., under the project UID/DTP/04045/2019.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.