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Analysis of stress and academic-sports commitment through Self-organizing Artificial Neural Networks

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Analysis of stress and academic-sports commitment through Self-organizing Artificial Neural Networks

dc.contributor.author	Carratalá Bellod, Helio
dc.contributor.author	Buendía Ramón, Vicente
dc.contributor.author	Carballeira Fernández, Eduardo
dc.contributor.author	Guzmán Luján, José Francisco
dc.date.accessioned	2022-05-12T11:44:56Z
dc.date.available	2022-05-12T11:44:56Z
dc.date.issued	2021
dc.identifier.citation	Carratalá Bellod, Helio Buendía Ramón, Vicente Carballeira Fernández, Eduardo Guzmán Luján, José Francisco 2021 Analysis of stress and academic-sports commitment through Self-organizing Artificial Neural Networks Retos: nuevas tendencias en educacion fisica, deporte y recreacion 42 136 144
dc.identifier.uri	https://hdl.handle.net/10550/82748
dc.description.abstract	Objective: The objective of this research was to understand the relationships between the variables resilience, coping, commitment and stress in the academic and sports fields, and their differences based on varied personal typologies. Material and Methods: A selective research methodology was used, with a retrospective ex-post-facto design. The sample was made up of 190 men between the ages of 13 and 17, athletes and students of Compulsory Secondary Education (ESO), Baccalaureate and Middle Grade Vocational Training. Results: The artificial intelligence technique SOM, allowed to identify in an autonomous way three clusters of athletes with psychological and sociodemographic characteristics similar to each other and different from those of the rest. Task coping was positively related to resilience and commitment and negatively to stress whereas emotion-oriented coping was positively related to stress. Conclusions: Athlete students tend to use the same coping strategies when facing stressful situations that they use in their sports practice. The levels in the variables analysed depend on the type of student and athlete, which can be used to identify risk groups and carry out interventions for their improvement.
dc.language.iso	eng
dc.relation.ispartof	Retos: nuevas tendencias en educacion fisica, deporte y recreacion, 2021, vol. 42, p. 136-144
dc.subject	Psicologia
dc.subject	Esports
dc.subject	Adolescents
dc.subject	Educació
dc.title	Analysis of stress and academic-sports commitment through Self-organizing Artificial Neural Networks
dc.type	journal article	es_ES
dc.date.updated	2022-05-12T11:44:56Z
dc.identifier.doi	10.47197/retos.v42i0.86983
dc.identifier.idgrec	144912
dc.rights.accessRights	open access	es_ES