Affiliations 

  • 1 Department of Physical Education and Sport Science, Siirt University, Siirt, Turkey
  • 2 Department of Physical Education and Sport Science, Democritus University of Thrace, Komotini, Greece. abatrakoulis@uth.gr
  • 3 Department of Physical Education and Sport Science, Balıkesir University, Balıkesir, Turkey
  • 4 Department of Physical Education and Sport Science, Gazi University, Ankara, Turkey
  • 5 Department of Physical Education and Sport Science, Aydın Adnan Menderes University, Aydın, Turkey
  • 6 Physical Education and Sports, Division of Humanities and Political Sciences, Hellenic Naval Academy, Piraeus, Greece
  • 7 Department of Physiology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
  • 8 Department of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
  • 9 Lifestyle & Health Research Center, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
BMC Sports Sci Med Rehabil, 2025 Mar 18;17(1):53.
PMID: 40102997 DOI: 10.1186/s13102-025-01090-w

Abstract

BACKGROUND: This study examines the determinant role of athletic mental energy on the flow state in professional football (soccer) players. This research fills an important gap in the sports psychology literature by focusing on the interaction between mental energy and flow, a critical component of optimal performance.

METHODS: Accordingly, 254 male athletes (Mean age = 23.1 ± 5.4 years) voluntarily participated in the study. This study was designed with the relational survey model, one of the quantitative research models. Athletic Mental Energy Scale and Dispositional Flow State Scale-2 were used as data collection tools. After confirming the validity and reliability of the scales, the data were analyzed. In this study, blank data were first evaluated to check the suitability of the analysis and assumptions. After the structure of the scales was verified, firstly, when the skewness kurtosis values for the normality test were examined, it was deter-mined that the data were suitable for normal distribution as the values were between - 1.5 and + 1.5 and the Q-Q graph did not show deviations from the distribution. In this context, Pearson Correlation Analysis was used to determine the relationship between athletic mental energy and flow state, and structural equation modeling (SEM) analysis was used to determine the determinant role of mental energy. Mental energy significantly predicted the flow state (β = 0.81, p 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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