- Physical exercise correlates with fewer depressive symptoms and increased flow proneness in college students.
- Frontal EEG lateralization differed between students with and without depressive symptoms, implicating EEG-specific indicators.
- Flow proneness mediated the exercise-depression association robustly after adjustment; EEG-related indirect effects lost statistical significance.
Front Psychiatry. 2026 Oct 30;17:1903553. doi: 10.3389/fpsyt.2026.1903553. eCollection 2026.
ABSTRACT
OBJECTIVE: Exploring the correlations among physical activity, flow state, and resting-state EEG in college students with depressive symptoms.
METHODS: A cross-sectional study was conducted among 216 college students. Participants completed questionnaires assessing depressive symptoms, physical exercise, and flow proneness, followed by a 5-min resting-state EEG recording. Group differences and associations were examined using independent-samples t-tests, χ² tests, Pearson correlations, and regression-based serial mediation analyses. The primary mediation models were adjusted for sex and self-rated physical health, with unadjusted models reported for comparison.
RESULTS: Physical exercise was associated with fewer depressive symptoms and greater flow proneness, and significant frontal EEG lateralization differences were observed between students with and without depressive symptoms. In the unadjusted mediation analyses, significant indirect effects were observed through Fp2/Fp1 δ- and α2-band lateralization and through the serial EEG lateralization-flow pathways. However, after adjustment for sex and self-rated physical health, the EEG-related indirect effects were no longer statistically significant in either the δ- or α2-band model. In contrast, the indirect effect through flow proneness alone remained significant in both adjusted models (Ind2), indicating that the flow-related indirect association was more robust to covariate adjustment than the EEG-related pathways.
CONCLUSION: There is a close correlation among physical activities, EEG-specific indicators and the state of flow. However, whether the EEG-specific indicators play a mediating role remains to be further verified.
PMID:43031722 | PMC:PMC13759498 | DOI:10.3389/fpsyt.2026.1903553
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