Looking for the Key to Winning: Psychophysiological Predicting Factors in Healthy University Students.

anxiety competitiveness heart rate reactivity motivation self-efficacy winner–loser

Journal

Behavioral sciences (Basel, Switzerland)
ISSN: 2076-328X
Titre abrégé: Behav Sci (Basel)
Pays: Switzerland
ID NLM: 101576826

Informations de publication

Date de publication:
27 Nov 2023
Historique:
received: 21 09 2023
revised: 20 11 2023
accepted: 23 11 2023
medline: 22 12 2023
pubmed: 22 12 2023
entrez: 22 12 2023
Statut: epublish

Résumé

Performance in competitive situations has been linked to various psychobiological factors such as personality traits (e.g., competitiveness), situational appraisal (e.g., motivation), and cardiovascular response (e.g., heart rate). However, it remains unclear whether these factors can predict competitive success. This paper aims to assess, through discriminant analysis, the predictive capacity of these psychobiological variables regarding the likelihood of winning, ultimately delineating a psychophysiological profile associated with success. Across three distinct studies, a total of 154 participants (66 men) engaged in a face-to-face laboratory competition. Prior to the competition, assessments of competitiveness traits, anxiety, self-efficacy, and motivation were conducted, and heart rate reactivity during the competition was measured. These variables collectively formed the basis for constructing the predictive model. The results of the initial study demonstrated that our model accurately classified 68.8% of the cases. Specifically, high levels of competitiveness, self-efficacy, motivation, and heart rate reactivity, coupled with low anxiety, were predictive of winning. These findings were subsequently replicated in two independent validation samples involving both men and women (studies 2 and 3), thereby reinforcing the robustness of the earlier results. In conclusion, our findings suggest that the psychological state preceding competition, along with cardiovascular reactivity, may serve as predictors for the probability of winning.

Identifiants

pubmed: 38131834
pii: bs13120978
doi: 10.3390/bs13120978
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Generalitat Valenciana
ID : PROMETEOII2015/020

Auteurs

Raquel Costa (R)

Departamento de Psicobiología, Universitat de València, 46010 Valencia, Spain.

Diana Abad-Tortosa (D)

Departamento de Psicobiología, Universitat de València, 46010 Valencia, Spain.

Adrian Alacreu-Crespo (A)

Departamento de Psicología y Sociología, Universidad de Zaragoza, 50009 Zaragoza, Spain.

Elena Saiz-Clar (E)

Departamento de Metodología, Universitat Nacional a Distancia (UNED), 28040 Madrid, Spain.

Alicia Salvador (A)

Departamento de Psicobiología, Universitat de València, 46010 Valencia, Spain.
Laboratory of Social Cognitive Neuroscience and IDOCAL, Universitat de València, 46010 Valencia, Spain.
Spanish National Network for Research in Mental Health CIBERSAM, 28029 Madrid, Spain.

Miguel Ángel Serrano (MÁ)

Departamento de Psicobiología, Universitat de València, 46010 Valencia, Spain.

Classifications MeSH