Influencing factors of physical exercise behavior among Chinese female university students: a configurational analysis based on fsQCA.

OBJECTIVE

This study investigates how combinations of factors lead to high physical activity levels among Chinese female university students.

METHODS

Grounded in Social Cognitive Theory (SCT), we developed an "Individual-Behavior-Environment" triadic reciprocity framework. Using fuzzy-set Qualitative Comparative Analysis (fsQCA), we performed a configurational analysis of physical activity behaviors among 115 Chinese female university students. The study assessed six antecedent conditions across three dimensions: capability cognition (exercise self-efficacy, perceived value of exercise), motivational drive (exercise motivation, subjective exercise experience), and environmental interaction (friend support, social anxiety).

RESULTS

None of the six individual conditions were necessary for high physical activity behavior. Instead, high activity levels emerged from synergistic interactions among multiple conditions. We identified eight distinct equifinal configurations leading to high physical activity, with an overall solution consistency of 0.888 and coverage of 0.722, indicating strong model robustness. These configurations formed four typical driving modes: Immersive Enjoyment, Autonomous Drive, Dual Core Reinforcement, and Efficacy Anxiety Compensation.

CONCLUSION

This study confirms the characteristics of "multiple conjunctural causation" and "causal asymmetry" in forming physical activity behaviors among Chinese female university students. It extends SCT by revealing complex compensatory and substitutive mechanisms among factors, moving beyond traditional linear models. The findings offer a novel configurational perspective for understanding this population's physical activity behaviors and provide crucial evidence for designing targeted health behavior interventions.